Health Care Delivery in the United States

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J
James R. Knickman
Brian Elbel
Editors
Jonas & Kovner’s
Health Care
Delivery
in the
United States
12th Edition
Knickman
h
on
H U
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
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BRIEF CONTENTS
PART I HEALTH POLICY
CHAPTER 1 The Challenge of Health Care Delivery and Health Policy 3
CHAPTER 2 Organization of Care 15
CHAPTER 3 The Politics of Health Care in the United States 51
CHAPTER 4 Comparative Health Systems 73
PART II KEEPING AMERICANS HEALTHY
CHAPTER 5 Population Health 101
CHAPTER 6 Public Health: A Transformation in the 21st Century 123
CHAPTER 7 Health and Behavior 151
CHAPTER 8 Vulnerable Populations: Meeting the Health Needs of Populations
Facing Health Inequities 183

PART III MEDICAL CARE: TREATING AMERICANS’
MEDICAL PROBLEMS

CHAPTER 9 The Health Workforce 231
CHAPTER 10 Health Care Financing 257
CHAPTER 11 Health Care Costs and Value 277
CHAPTER 12 High-Quality Health Care 311
CHAPTER 13 Health Care Management 343
CHAPTER 14 Health Information Technology 357
PART IV FUTURE OF U.S. HEALTH CARE

CHAPTER 15
APPENDIX
The Future of Health Care Delivery and Health Policy 381
U.S. Government Public Health Agencies 397
GLOSSARY

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Jonas & Kovner’s
HEALTH CARE DELIVERY
IN THE UNITED STATES
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James R. Knickman, PhD, is the Robert Derzon Chair in Public and Health A!airs
at New York University with joint appointments at the NYU Wagner School of
Public Service and at NYU Langone Medical School’s Department of Population
Health. He has spent four decades splitting his time between academe and the
philanthropic sector. His work focuses on health policy and he has played many
roles both as a researcher and a leader in philanthropy to advance the use of public policy to improve the American health care system. He was a Vice President
at the Robert Wood Johnson Foundation and President of the New York State
Health Foundation. He has a PhD in Public Policy Analysis from the University of
Pennsylvania and did his undergraduate work at Fordham University. He serves
on the Board of Directors at three non-pro”t organizations, including chairing
the National Council on Aging.
Brian Elbel, PhD, MPH, is an associate professor of Population Health and Health
Policy at the New York University School of Medicine, where he heads the Section
on Health Choice, Policy and Evaluation within the Department of Population
Health, and at the NYU Wagner Graduate School of Public Service. He is the
Assistant Dean for Strategic Initiatives in the O#ce of Science and Research of
NYU Langone Health and the Director of the NYU Langone Comprehensive
Program on Obesity. He studies how individuals make decisions that in$uence
their health, with a particular emphasis on evaluation, obesity, and food choice.
His work uses behavioral economics to understand health decision-making
among vulnerable groups, and the role and in$uence of public policy on these
decisions. His research has been funded by the National Institutes of Health,
Centers for Disease Control and Prevention, the National Science Foundation
and the Robert Wood Johnson Foundation and has been featured in national television, radio, and print media. Dr. Elbel earned his bachelor’s degree from %e
University of Texas at Austin and his master’s and doctorate in Health Policy/
Health Economics from Yale University.
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Jonas & Kovner’s
HEALTH CARE DELIVERY
IN THE UNITED STATES
12th Edition
EDITORS
JAMES R. KNICKMAN, PhD
BRIAN ELBEL, PhD, MPH
FOUNDING EDITOR
STEVEN JONAS, MD, MPH, MS, FNYAS
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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CONTENTS
List of Features xiii
Foreword by Anthony R. Kovner, PhD xvii
Acknowledgments xix
Organization of This Book xxi
Contributors xxiii
PART I HEALTH POLICY
Chapter 1 The Challenge of Health Care Delivery and Health Policy 3
Brian Elbel and James R. Knickman
Introduction 4
!e Importance of Good Health to American Life 5
De”ning Characteristics of the U.S. Health System 6
Major Issues and Concerns 8
Key Stakeholders In#uencing the Health System 9
Organization of !is Book 12
Conclusion 13
Case Exercise—Health Care Delivery Plan 13
Discussion Questions 13
Reference 14
Chapter 2 Organization of Care 15
Amy Yarbrough Landry and Cathleen O. Erwin
Introduction 17
Description of the Current Care Delivery System 17
!e Future of the Delivery System 39
Best Practices 45
Conclusion 46
Case Exercise—Innovative Ideas 47
Discussion Questions 47
References 48
Chapter 3 The Politics of Health Care in the United States 51
Rogan Kersh and James Morone
Introduction 52
Health Care Infrastructure and Spending: Many Dollars, to What E$ect? 53
Who Pays? !e Politics of Medicare, Medicaid, and Much More 60
!e Politics of Providing Equitable Health Services 65
How Personal Health Decisions Become Public: !e Case of Obesity 67
Conclusion: Better National Health Ahead? 69
Case Exercise—Insurance Plans 70
Discussion Questions 70
References 70
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viii Contents
Chapter 4 Comparative Health Systems 73
Michael K. Gusmano and Victor G. Rodwin
Introduction 74
Health System Models 75
NHS and NHI Systems Compared With the United States 78
!e Health Systems in England, Canada, France, and China 79
Lessons 93
Case Exercise—European Lessons Learned 94
Discussion Questions 94
References 95
PART II KEEPING AMERICANS HEALTHY
Chapter 5 Population Health 101
Pamela G. Russo and Marc N. Gourevitch
Introduction 102
!e Population Health Model 103
!e Medical Model 104
Comparing the Medical and Population Health Models 106
!e In”uence of Social Determinants on Health Behavior and Outcomes 108
Leading Determinants of Health: Weighting the Di#erent Domains 112
Health Policy and Returns on Investment 115
Conclusion 118
Case Exercise—Sodium and its E#ects on Our Health 120
Discussion Questions 120
References 121
Chapter 6 Public Health: A Transformation in the 21st Century 123
Laura C. Leviton, Paul L. Kuehnert, and Kathryn E. Wehr
Overview of a Complex Infrastructure 124
Public Health Requires a Collective Response from Society 128
Public Health is Di#erent from Individual Health Care 130
!e Core Functions of Public Health De$ne Essential Public Health Activities 132
Governmental Agencies Have Legal Authority for the Core Functions 135
Social, Economic, and Political Forces are Transforming Public Health 140
Conclusion 146
Case Exercise—Cure For Birth Defects Policy Options 146
Discussion Questions 146
References 147
Chapter 7 Health and Behavior 151
Brian Elbel, Elaine F. Cassidy, Matthew D. Trujillo, and C. Tracy Orleans
Introduction 152
Behavioral Risk Factors: Overview and National Goals 153
Changing Health Behavior: Closing the Gap Between Recommended and Actual Health
Lifestyle Practices 159
!e Role and Impact of Primary Care Interventions 163
Multilevel Models For Population-Based Health Behavior Change 166
Changing Provider Behavior: Closing the Gap Between Best Practice and Usual Care 171
Conclusion 177
Case Exercise—Comprehensive Plan for Addressing Risk Factors 178
Discussion Questions 178
References 179
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Contents ix
Chapter 8 Vulnerable Populations: Meeting the Health Needs of Populations Facing
Health Inequities 183
Monique J. Vasquez, Jacqueline Martinez Garcel, Elizabeth A. Ward, and
Lourdes J. Rodríguez
Introduction 184
Understanding Factors and Systems that Impact People Disproportionately A!ected by
Health Inequities 186
“e Growing Number of Health Inequities 192
Uneven Footing After the Great Recession and a Strained Social Service Sector 198
Organization and Financing of Health Care, Population/Public Health/Prevention, and
Other Services for Populations Experiencing Health Inequities 199
Rural Health Clinics and Rural Health Networks 201
Social Service Needs 203
Federal and State Financing of Care for Vulnerable Populations 206
Challenges for Service Delivery and Payment 208
Emerging and Tested Ideas for Better Health Delivery 210
Case Exercise 8.1—Patient Engagement: Bronx-Lebanon Hospital Department of Family
Medicine’s Patient-Centered Medical Home 213
Case Exercise 8.2—Integrated Care: Camden Coalition of Health Care Providers 213
Opportunities in the ACA to Meet Health Care Needs of Vulnerable Populations 214
Conclusion 219
Case Exercise 8.3—Plan for Refugees 220
Discussion Questions 220
References 221

PART III MEDICAL CARE: TREATING AMERICANS’
MEDICAL PROBLEMS

Chapter 9 The Health Workforce 231
Joanne Spetz and Susan A. Chapman
Introduction 232
Who Is Part of the Health Workforce? 232
Traditional Approaches to Health Workforce Planning 234
Health Workforce Education 235
Critical Issues for the Health Workforce 240
Conclusion: Building the Future Health Care Workforce 248
Case Exercise—Workforce Recruitment Plan 248
Discussion Questions 248
References 249
Chapter 10 Health Care Financing 257
James R. Knickman
Introduction 258
General Overview of Health Care Financing 259
What the Money Buys and Where It Comes From 262
How Health Insurance Works 262
How Providers are Paid for the Health Services “ey Deliver 267
Specialized Payment Approaches Used by Payers 269
Conclusion 273
Case Exercise—Becoming an Accountable Care Organization Versus Not Becoming an
Accountable Care Organization 274
Discussion Questions 274
References 274
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x Contents
Chapter 11 Health Care Costs and Value 277
David C. Radley and John Marchica
Introduction 278
Spending Levels and Cost Growth 278
De!ning and Measuring Value in Health Care 284
Cost Drivers and Barriers to Value 286
Initiatives to Address Expenditure/Value Tradeo”s 294
Delivery System Reform 298
State-Driven Value-Based Initiatives 303
Conclusion 304
Case Exercise—Monitoring of Value 305
Discussion Questions 305
References 306
Chapter 12 High-Quality Health Care 311
Carolyn M. Clancy and Irene Fraser
Introduction 312
De!ning Quality 312
How are We Doing? 313
How Do We Improve Quality? 314
How Do We Incentivize Quality Care? 322
What are Major Recent Developments A”ecting Quality? 332
Core Competencies for Health Administrators 336
Conclusion 338
Case Exercise—Using Data to Support Sustainability 338
Discussion Questions 339
References 340
Chapter 13 Health Care Management 343
Anthony R. Kovner and Christy Harris Lemak
Introduction 344
Governance, Performance and Accountability 344
#e Complex Tasks of Leadership and Management 348
Evidence-Based Management 351
Challenges Managers Face 352
Conclusion 354
Case Exercise—Strategic Plan Report 355
Discussion Questions 355
References 355
Chapter 14 Health Information Technology 357
Karen B. DeSalvo and Y. Claire Wang
Introduction 358
Health Data Needs and IT Use Cases 359
Case Exercise 14.1—
NYC Macroscope 364
HIT Interoperability 365
Standards 367
Driving Forces Shaping the Use of Data and HIT 367
Case Exercise 14.2—Avera Health 370
Challenges to More E”ective Use of Information and Data 370
Privacy and Security 371
Current Marketplace and Emerging Opportunities 372
Conclusion 374
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Contents xi
Case Exercise 14.3—Electronic Health Records 374
Discussion Questions 374
References 375
PART IV FUTURE OF U.S. HEALTH CARE
Chapter 15 The Future of Health Care Delivery and Health Policy 381
James R. Knickman and Brian Elbel
Introduction 382
Forces Shaping Change in the Health System 383
Key Challenges that Will Receive Attention in Upcoming Years 388
Future Prospects for Di!erent Stakeholders in the Health Enterprise 391
Conclusion 393
Case Exercise—Payments and Budget Caps in Medicare 394
Discussion Questions 394
References 394
Appendix U.S. Government Public Health Agencies 397
Glossary 403
Index 423
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1
The Challenge of
Health Care Delivery
and Health Policy
Brian Elbel and James R. Knickman
LEARNING OBJECTIVES
Understand the importance of health and health care to American life
Describe defining characteristics of U.S. health care delivery
Discuss major issues and concerns
Identify key interest groups (stakeholders)
Explain the importance of engaging a new generation of health leaders
KEY TERMS
access to health care
consumers
customer friendly
fee-for-service system
health care delivery
health maintenance
health system
Patient Protection and Affordable Care Act
population health
stakeholder
value
workforce
© Springer Publishing Company DOI: 10.1891/9780826172730.0001
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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4 Part I. Health Policy
TOPICAL OUTLINE
Why health is so important to Americans
Defining characteristics of the U.S. health care delivery system
Factors that shape the structure of the delivery system
Seven key challenges facing the health system
Stakeholders who shape and are affected by how the health system is
organized and how it functions
The organization of the book
INTRODUCTION
Our goal in editing this book is to provide a vibrant introduction to the U.S. health
care system in a way that helps new students understand the wonders of health
and health care. !e book lays out the complexities of organizing a large sector of our economy
to keep Americans healthy and to help people
get better when they become ill. In addition,
the book provides a framework to help professors engage students, with room for each
professor to bring his or her perspective to
the materials covered.
To introduce students to the many parts of
the health system in the United States, we have
engaged some of the leading thinkers and “doers” in the health sector to explain the
parts of the system in which they are expert. Each author brings a di”erent perspective, and it is not our aim to present one voice on this topic. Rather, we have asked
each author to lay out the facts about a given topic and to o”er ideas about what he
or she thinks must happen to improve a speci#c aspect of the health system.
In many ways, the text lays out a serious “to do” list facing our health system and o”ers individuals beginning a health-related career a guide to the types
of challenges that could engage them. !e authors explain how the health system works, its challenge, and how individuals can contribute to the process of
strengthening our system to ensure it works e$ciently and e”ectively at the task
of keeping all of us healthy.
In this #rst chapter, we explain the importance of the health system, provide
an overview of how the system is organized, sketch out some of the challenges
facing the overall system addressed in the book, and discuss the roles of #ve types
of key stakeholders involved in the health enterprise. We also provide the logic
behind the topics the book addresses and explain the book’s organization.
Most of us are consumers
of health care, and some
are both consumers
and
providers, employers, or policy
makers. This means
all of us
have a stake in improving the
performance and delivery of
U.S. health care.*
*To hear the podcast, go to https://bcove.video/2PkbOe0 or access the ebook on Springer Publishing ConnectTM.
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Chapter 1. The Challenge of Health Care Delivery and Health Policy 5
THE IMPORTANCE OF GOOD HEALTH TO AMERICAN LIFE
Our nation is built on the idea that society should ensure an opportunity for “life,
liberty, and the pursuit of happiness.” !ese words, of course, are from the second
sentence of our Declaration of Independence. !e aspiration of ensuring “life”
is the core goal of the health system. It is obvious that nothing is possible for an
individual without life, and most of us would agree that health is among the core
needs to live a vibrant, viable life. Good health is essential to participate in the
political and social system, to work to support ourselves and our families, and to
pursue happiness and a good life.
Our nation has invested a tremendous amount to learn how to keep people
healthy and how to restore health when disease, injury, or illness occurs. In the
19th century, researchers and public health experts from the United States and
other countries began to understand the role of germs in communicating disease
and the importance of basic public health practices, such as ensuring clean water
and safe sanitation to maintain health. In the 20th century, the science and art
of medicine exploded, creating amazing know-how to treat people who have
diseases, injuries, and illnesses.
In response to the emerging know-how for delivering medical care, a large
and complex health enterprise developed throughout the 20th century and continues to evolve. !e pipeline of new ideas for better treating illnesses is quite full
and promises to lead to ever-expanding methods to restore health when Americans have life-threatening medical problems. We are now faced with “personalized medicine” or the promise or hope that big data can solve many problems
related to health or health systems.
We use the word
enterprise deliberately because the health system is a blend
of an altruistic-oriented set of providers and activities mixed with a huge industry that accounts for a sizable portion of all economic activity in our society.
!e
value we put on health has led us to devote just under 20% of our economic
resources to medical care and health promotion (see Chapter 10, Figure 10.1).
Fully 11% of all jobs in America are in the health sector (Altarum, 2018). Each of
us spends a sizable share of our income on the health care we need. We spend
this money through taxes, which support a good share of the health enterprise;
through foregone wages used by our employers to pay for health insurance; and
by sizable out-of-pocket health care expenses for which each of us is responsible.
!us, the pursuit of life, listed as a core principle in the Declaration of Independence, not only has resulted in a set of social and political norms about the
importance of good health to everyone in America but also has spurred a huge
industry that a#ects and is a#ected by society’s economic activity and economic
decisions. To understand the health system, we need to understand not only the
art and practice of medicine and public health but also the economic, organizational, and management issues that must be addressed to keep the health system
e#ective, e$cient, and a#ordable in our overall economic life. How we go about
organizing and managing the health system and changing it over time can hurt or
help both our health status and our economic status.
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6 Part I. Health Policy
DEFINING CHARACTERISTICS OF THE U.S. HEALTH SYSTEM
It is ironic that most health professionals think of themselves as working within
the
health system when in truth one of the !rst de!ning features of what we
call a system is that health-related activities are not ordered or organized as a
single enterprise. Rather, e”orts to improve health and health care involve many
types of actors and organizations working independently and with little coordination to make contributions to improving health status. In particular, our current approach to delivering medical care has evolved and keeps evolving in a
haphazard way shaped more by economic incentives and opportunities than by
a central or logical design. Equally importantly, this is not just about medical
care, but social services and other systems in place that could have an even larger
impact on health.
In recent years, we also have begun to recognize the clear di”erence between
health maintenance and restoring health to a person who has a medical
problem. #e medical care system clearly takes charge of restoring health when
people are ill. Often the medical care system takes charge of caring for people
even if restoring health is impossible; the goal may be to limit the spread of a
medical problem, to alleviate the symptoms of a medical problem, or to help a
person cope with the pain and su”ering and loss of function when major medical
problems emerge. Doctors, nurses, technicians of various types, hospitals, nursing homes, rehabilitation centers, pharmaceutical companies, and medical device
companies are among the actors who engage in e”orts to care for people when
they have medical problems.
#e goal of maintaining health also involves many actors and activities. To
some extent, medical providers help with this huge task by providing screening
and prevention services that can keep people from becoming ill and help to identify illnesses very early when they might be easier to treat. However, good health
among a population also requires a vibrant public health and social service system that works to help people avoid illness. Public health activities include preventing epidemics; making sure food, water, and sanitation are safe; monitoring
environmental toxins; and developing community-based, public awareness, and
education initiatives to help people eat healthy foods, exercise, and not engage
in unhealthy behaviors such as smoking, drinking alcohol in excess, and using
recreational drugs or abusing prescription drugs.
Increasingly, we also recognize that the health of populations is determined
by social and economic factors. Adequate family incomes, high-quality educational opportunities, and being socially connected are all key factors that predict the
health of a given person. Social issues such
as discrimination, abuse, and social respect
all are important determinants of health. To
ensure attention to these issues and others
like them requires involvement from many
Adequate family incomes, highquality educational opportunities,
and being socially connected are
all key factors that predict the
health of a given person.
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Chapter 1. The Challenge of Health Care Delivery and Health Policy 7
sectors of our society as well as political leadership to guide collective action to
ensure our society encourages pro-health norms and practices. Some people
term this a “health in all” approach to social policy. !e relatively new concept
of
population health has also worked its way into the health system, with such
systems increasingly taking into account the lives of patients outside the walls of
their buildings.
We have organized this book so that it addresses both types of health issue
challenges: (a) keeping the population healthy and (b) providing e”ective medical care when needed. Other key de#ning characteristics of the U.S. health care
system guide the organization of this book:
■■ !e importance of organizations in delivering care. !ese include hospitals, nursing homes, community health centers, physician practices, social services agencies,
and public health departments.
■■ !e role of professionals in running our system. !ese include physicians, nurses,
managers, policy advocates, policy makers, researchers, technicians, and those directing technology and pharmaceutical businesses.
■■ !e emergence of new medical technology, smartphones, big data, and new pharmaceuticals. New techniques in imaging, smartphone-based apps, big data, machine
learning, pharmaceuticals, surgical procedures, DNA coding, and stem-cell technology are remarkable but often expensive ways of improving health care.
■■ Tension between “the free market” and “governmental control.” !is tension
shapes America’s culture but is sharply present, among the points of debate, in the
health care sector. Relative to citizens of other countries, Americans have more diversity of opinion about whether health care, or certain health care services, are “goods”
or “rights.” How one feels about this issue often determines whether a person thinks
the delivery of health care should be done by nonpro#t or for-pro#t organizations and
whether health care should be #nanced by taxes or private payments.
■■ A dysfunctional payment system. !e traditional way we have paid health care
providers rewards them for providing more and more billable services rather than
rewarding them for being e$cient and delivering e”ective care. !is
fee-for-service
system
has begun to change with more frequent use of payment approaches that
reward valued services. But, we still have a long way to go to make it economically
logical for providers to be e$cient, to be customer or patient friendly, and to focus on
the delivery of high-value services. Also, the payment approach is not transparent for
individuals who use health care. For example, patients frequently have no idea what a
service costs until after it is delivered. !is is rarely true for other goods and services
in the U.S. economy.
!ese de#ning characteristics make
health care delivery a challenging part of
U.S. politics and the economy. Addressing the
challenges of delivering health care is worth
the best e”ort and thinking of our readers,
who are tomorrow’s health care leaders.
Addressing the challenges of
delivering health care is worth
the best effort and thinking of
our readers, who are tomorrow’s
health care leaders.
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8 Part I. Health Policy
MAJOR ISSUES AND CONCERNS
Our health system can be improved in many ways. !e chapters that follow
address a long list of speci”c concerns. Many of these issues #ow, however, from
seven overarching themes regarding challenges that each of us in the health sector can address:
■■ Improving quality. Reliable studies have indicated that between 44,000 and 98,000
Americans die each year because of medical errors. Other well-regarded studies show
that people with mental health or substance use problems, asthma, or diabetes receive
care known to be e$ective only about half the time. In addition, the health system
could do much more to improve the experience of patients receiving care. !e system
is not always
customer friendly and has not adopted many practices routinely used in
other service sectors to improve the consumer experience. We have a good knowledge
base about how to organize care so that high-quality services happen virtually all of the
time. !e challenge is spreading this knowledge into practice across the nation.
■■ Improving access and coverage. Millions of Americans still lack insurance coverage, and millions more have inadequate coverage for acute care. !e federal health
reform, the
Patient Protection and Affordable Care Act (ACA; Obamacare), has
dramatically reduced the number of people who lack insurance coverage, though gaps
in coverage persist. Many states (though a decreasing number) have chosen not to
adopt some of the expansions for low-income residents because of political opposition. Even when Americans have insurance coverage,
access to health care is not
always ensured. Many rural areas have shortages of doctors and other providers, and
many doctors refuse to see patients with certain types of insurance (generally coverage
for low-income residents, or Medicaid coverage) because of low payment rates.
■■ Slowing the growth of health care expenditures. Health care expenditures are
simply the price of services multiplied by the volume (or number) of services. Total
expenditures are growing much more rapidly than the rest of the economy because
both prices and volume of services have increased relentlessly over the past 50 years.
To keep health care a$ordable for middle-class and low-income residents—as well as
for taxpayers and employers—we need to devise ways to moderate the ever-increasing
share of our nation’s economy devoted to the health sector. !e challenge is to determine how to restructure delivery and payment so we can focus on high-value care
as we get more e%cient, with less waste. !ere has been progress in bringing costs
of care down, especially due to the dynamics put in place by the great recession that
started around 2008. Unfortunately, progress in reducing costs has helped businesses
and government payers of care much more than it has helped individuals who have to
buy health insurance in the private market place.
■■ Encouraging healthy behavior. Healthy behavior can help people avoid disease and
injury or prevent disease or injury from getting worse. For millions of Americans, leading healthy lives is not of the highest priority relative to other more pressing factors in
their lives. Changing health-related behavior is a di%cult challenge, and one that health
systems are increasingly taking on, but we need to identify e$ective prevention programs
and ways to make our social and built environments more encouraging of healthy choices.
■■ Improving the public health system. !e governmental public health infrastructure
maintains population health and regulates aspects of the health care delivery system.
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Chapter 1. The Challenge of Health Care Delivery and Health Policy 9
State and local health departments monitor the health of residents, provide a wide
range of preventive services, and regulate health care providers and businesses, such
as restaurants, that a!ect population health. “e e!ectiveness and funding of state,
municipal, and county health departments vary widely.
■■ Improving the coordination, transparency, and accountability of medical care.
Problems of quality, cost, and access are caused by fragmentation and lack of coordination at the community level. “is fragmentation exists both within and between
health care organizations. It is a!ected by a lack of integrated and electronic record
systems and by a lack of cooperative relationships among di!erent types of providers who treat the same patient. For example, primary care physicians, hospitals, and
specialty physicians often fail to work as teams or in coordinated ways. Consumers
often are not given all of the information they deserve to make adequate medical
choices. Providers often refuse to reveal the prices they will charge patients, second
opinions are still not encouraged as frequently as they should be, and patients often
do not get clear explanations of treatment options or the pros and cons of these
options.
■■ Addressing inequalities in access and outcomes. In the United States, medical care
and its associated outcomes depend on one’s income level, race, and geographical location. In many cases, the care received by those with less income is subpar. Moreover,
studies demonstrate that access and outcomes vary by race, even for Blacks, Latinos,
and Whites who have the same incomes and education levels. Marked di!erences also
exist in access, quality, and outcomes across di!erent regions of our country. Best
practices do not spread easily or quickly. Addressing these inequalities is a major challenge facing the health sector.
KEY STAKEHOLDERS INFLUENCING THE HEALTH SYSTEM
A complicated enterprise like the health system includes many types of stakeholders. A stakeholder group is a set of people who have a strong interest in how
something in our society is done. In addition, stakeholders generally have some
power in shaping what happens. Finally, di!erent stakeholders may have very different goals and views about what should be done and how.
To understand the health system, one needs a good scorecard of the interests and roles of distinct stakeholder groups. Each contributor to this book
gives attention to roles of stakeholders. “e stakeholders that keep appearing as
the story of the health system unfolds include #ve key groups: (a)
consumers,
(b) providers and other professionals engaged in the health system, (c) employers,
(d) insurers, and (e) public policy makers.
Individuals
Individual consumers (or patients) should
be at the center of the health system. After
all, it is their needs and wants that are the
A stakeholder group is a set
of people who have a strong
interest in how something in our
society is done.
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10 Part I. Health Policy
reason for this giant enterprise. In some ways, however, individuals sometimes
seem like bystanders in health care decisions. Often, physicians and other providers assert that they know best and fail to have a patient co-manage a medical
problem or be a full partner in selecting a choice of action. Or, perhaps worse, an
insurer decides what is best or “allowed” given a speci!c health condition.
Individuals are also bystanders in issues about payments. Providers sometimes think their “customer” is an insurance company because the insurer pays
much of the bill. In addition, the same provider (unknown to many individuals)
may charge astonishingly di”erent prices to di”erent groups and individuals. #e
usual norm in our economy, unlike in health care, is that the person receiving
goods or a service is the customer, and the customer has a right to know what the
charge will be before purchasing the good or service.
Even so, individuals are in$uential stakeholders in many ways. For example,
when there is widespread dissatisfaction among them, change happens. Insurers
changed the rules of early managed care payment systems in the 1990s due to
consumer complaints. Similarly, a major federal program o”ering a new form of
catastrophic insurance to elders was repealed after sharp dissatisfaction among
seniors.
Most experts argue that individuals need to be at the center of health care
choices. Additionally, individuals need to understand the crucial role their
behavioral choices play in determining their health status. Choosing to eat
healthy foods, stay physically active, drink alcohol moderately, and abstain from
tobacco products are among the most important choices they make to protect
their health.
What do individuals want as key stakeholders? Most importantly, they want
good access to health care for themselves and their families. Polls indicate that
individuals value good-quality care and a”ordable care. #ey would also like to be
treated well by providers and have a good experience when they need care.
Providers and Other Professionals Engaged in Making the
Health System Operate
Many professionals work to advance medical knowledge, medical practice, and
the business of health care. #e vast majority of this
workforce is motivated principally by the social goal of keeping people healthy. Medical providers, caregivers,
pharmaceutical and medical device companies, and researchers have created an
impressive set of interventions that can help people who are sick.
In recent years, however, many members of the broad health workforce have
faced great !nancial pressure to prevent the costs of health care from increasing
as quickly as in the past. Payment systems keep lowering the fees paid for goods
and services, and consumers and payers have been demanding better quality, better outcomes, more value, and better patient experiences. In addition, the organization of services has begun to evolve quickly.
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Chapter 1. The Challenge of Health Care Delivery and Health Policy 11
More and more physicians and other
providers are working in large practices
compared with the small ones that used to
be the norm. Hospitals are merging with
other types of medical providers, and the
approach insurers use to pay for services
is changing rapidly. A greater number of
professionals, inside and outside the health
system, are also increasingly engaged in
working to improve health.
Understanding the views and needs of the health workforce and the organizations dedicated to improving health is crucial to understanding how the system
works and how to improve the system. !e following chapters suggest that providers and professionals engaged in the health enterprise would value simpler
rules that govern how care is provided and fair opportunities to earn incomes
that re”ect their expertise and their large investments in training.
Employers
Employers are stakeholders because most businesses o#er employees private
health insurance as a key element of their compensation package. In this sense,
the cost of health insurance is a cost of doing business for employers and can
greatly a#ect the pro$tability of a business. For example, employee health care
costs add approximately $1,500 to the cost of producing every automobile manufactured in the United States.
In their role as stakeholders, employers want to see a slowdown in their
health care cost responsibility as compared with the last 50 years. In addition,
employers want healthy employees who are productive and do not have to take
time o# from work due to illness. !ese desires lead some employers to advocate
for high-quality health care and for wellness and prevention programs that help
employees stay healthy.
Insurers
Insurance companies act as the intermediary among payers (often employers),
providers (who need a system for getting paid), and consumers (who need a system
to determine the kinds of health care covered by the employer’s insurance plan).
In some cases, insurers take some $nancial risk: If the payments they make
to providers exceed the premiums set for employers, the insurer loses money.
Increasingly, however, the insurer leaves the employer to bear the risk and plays
the role of a pure intermediary, setting rules to determine when a health service
is eligible for reimbursement and other rules to determine what payment is made.
Of course, an insurer must negotiate these rules with employers and providers.
Understanding the views and
needs of the health workforce
and the organizations dedicated
to improving health is crucial to
understanding how the system
works and how to improve the
system.
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12 Part I. Health Policy
As stakeholders, insurers always face pressure. Employers, consumers, and
providers often have tense relationships with insurers, who in many ways play
the role of referees in health care. Payers often feel that the costs of running the
insurance process are too expensive.
Some approaches to payment currently exist that could compete with traditional insurance companies. Some health systems are starting their own insurance companies, and it is possible that capitated payment systems (payment of a
premium for a person/family for the year regardless of use of covered bene!ts)
could bypass traditional insurance systems and go directly from payers to providers. Insurers want to protect their role in the health sector. “ey also seek to
expand their role by o#ering analytical services that can support higher-quality
and more e$cient delivery approaches.
Public Policy Makers
“e !nal type of stakeholder we consider is policy makers; both appointed public o$cials and elected politicians are included in this category. However, policy
makers do not act as a single stakeholder group. Instead, various components of
this group set agendas, which often con%ict with one another.
Elected o$cials di#er strikingly in their views about how the health system
should work and about the role government should play in health care. At times,
di#erences in views re%ect di#erent ideologies. Sometimes, however, di#erent
views emerge about how best to manage the extensive responsibilities that have
fallen to government over the past 80 years.
Consensus does exist on some policy issues, however, within this stakeholder
group. Most elected o$cials and civil servants working on health issues would
like to see slower in%ation rates in the health sector. In addition, there is consensus that the U.S. health system should use state-of-the-art medical care and
prevention interventions. Finally, there is a common sense that quality and the
patient experience should be important concerns of health providers.
ORGANIZATION OF THIS BOOK
“e book is organized into four parts:
Part I: Health Policy—has chapters on the current state of health care delivery, charts depicting key statistics, a discussion of the important role of policy,
and a comparative analysis of health care delivery in other countries.
Part II: Keeping Americans Healthy—has four chapters on population health,
public health, behavioral health, and the health of vulnerable populations.
Part III: Future of Health Care Delivery and Health Policy in the United
States—
has six chapters on organization of care, workforce, !nancing, cost and
value, quality of care, health care management and governance, and information
technology.
Part IV: Futures—summarizes key ideas addressed in the book, with a look to
the future about how change in the health system might play out.
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Chapter 1. The Challenge of Health Care Delivery and Health Policy 13
CONCLUSION
!e editors remain optimistic that pragmatism, “exibility, consensus building,
and attention to objective, high-quality evidence can bring about positive change.
We remain stimulated by the challenges we face as we work hard at the local, state,
and national levels to create and sustain a viable and e#ective health care system.
Certainly, we have observed that best practices are now used to improve
health care and health across a wide range of settings in the United States and
worldwide. How do we speed up the process of getting more for the money we
spend, and how do we engage every type of stakeholder to bring about more
e#ective services by insisting on best practices in everything we do? !is book
gives the reader the motivation and skills to get engaged.
!e future U.S. health care delivery system will see improvements if committed and informed Americans choose to enter the $eld and engage e#ectively.
Future leaders who are knowledgeable about the health sector and who know
how to implement e#ective change are needed. !e system also needs to improve
quality, get more value for cost, improve patient participation in self-care, and
encourage provider transparency and accountability.
CASE EXERCISE—HEALTH CARE DELIVERY PLAN
You are an aide to the governor of State X. A billionaire has said he will give the governor $3
billion if he comes up with a satisfactory plan to improve health and medical care for the state.
Assume the state currently spends $300 billion on health care annually. The goal is ensuring
quality of health care, improving the patient experience, improving the overall health of the
state’s population, and containing the increase in health care costs. Develop the criteria for
assessing the success of the plan. Where will the major shifts in resources occur? Give a
rationale for your recommendations.
As you consider this case, you might address the following questions:
1. How might the billionaire evaluate whether the governor’s plan is satisfactory?
2. After the money is given to fund the plan, what must happen to improve health care
delivery performance substantially in State X?
t
DISCUSSION QUESTIONS
1. What is the real and perceived performance of the U.S. health care system? How do
views di#er among di#erent groups of patients, providers, payers, and politicians?
2. Why do we spend so much money on health care?
3. Why isn’t the population healthier?
4. How is the ACA part of the problem or part of the solution to improving health care
delivery in the United States?
5. What are your priorities to improve the value of health care Americans get for the
money we spend? What is your rationale for these priorities?
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14 Part I. Health Policy
REFERENCE
Altarum. (2018). Health care jobs engine propels share of total jobs to all-time high.
Retrieved from https://altarum.org/news/health-care-jobs-engine-propels-share-totaljobs-all-time-high
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2
Organization of Care
Amy Yarbrough Landry and Cathleen O. Erwin
LEARNING OBJECTIVES
Describe the current care delivery system
Define and distinguish between types of health care services along the
continuum of care
Identify and discuss types of organizations in the U.S. health care delivery
system
Increase awareness of new mechanisms for health system performance
improvements
Understand and discuss future trends in the health delivery system
Describe innovative approaches to improving care delivery
KEY TERMS
academic health center
accountable care organizations (ACOs)
accreditation
ambulatory care
average length of stay (ALOS)
centers of care
certification
chronic care
community health improvement
continuing care retirement community
continuity of care
continuum of care
© Springer Publishing Company DOI: 10.1891/9780826172730.0002
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

16 Part I. Health Policy
corporate practice of medicine (CPOM)
emergency care
end-of-life care
health homes
horizontal integration
hospice care
inpatient
instrumental activities of daily living (IADLs)
long-term care
multispecialty group practice (MSGP)
outpatient
palliative care
patient-centered medical home (PCMH)
population health
prehospital care
primary care
private practice
privileges
public health agencies
quaternary care
rehabilitation clinics
same-day surgery
single specialty group practice
solo practice
specialty care
special hospitals
subacute care
tertiary care
urgent care centers
vertical integration
TOPICAL OUTLINE
The current organization of the health care delivery system
Types of health care delivery organizations
Health system performance
The future of the health care delivery system
Examples of best practices in the organization of medical care
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Chapter 2. Organization of Care 17
INTRODUCTION
In the United States, health care is delivered through a complex and multifaceted system of private and public institutions that operate in cooperation with,
but largely independent of, each other. Unlike
many other countries, the United States has
no central governmental agency to control
the delivery of health care, although delivery is heavily in!uenced through health
care legislation and the government’s role
as a major purchaser of health care services
through Medicare, Medicaid, and other public
programs. “e
continuum of care in the United States encompasses care from
the cradle to the grave and includes services focused on both the prevention and
the treatment of medical conditions and diseases as well as end-of-life care.
“e individuals and organizations that provide care in the United States are
faced with increasing pressure and scrutiny from the government, private insurance organizations, and the public to provide the highest quality of care while
controlling costs and increasing access to underserved populations. Consequently, health care services and organizational structures are continuously being
adapted to meet the demands and mandates of health care policy and to survive
and thrive in this dynamic health care environment.
“is chapter describes the current health care delivery system in the United
States, including services, organizations, health system performance, and new
innovations in care delivery.
DESCRIPTION OF THE CURRENT CARE DELIVERY SYSTEM
“e World Health Organization (WHO) de#nes health as a “state of complete
physical, mental and social ‘wellbeing’ and not merely the absence of disease or
in#rmity” (WHO, 2017). By de#nition, the health system includes all organizations, institutions, and resources that have a primary purpose of promoting,
restoring, and/or maintaining health (WHO, 2015). From a broad, comprehensive
perspective it includes care delivered through traditional clinical and public health
settings as well as contributions to health from a variety of community organizations that have a stake in or can a$ect the health of individuals and communities.
“e following sections provide a general discussion of the types of clinical health
care services available in the United States, the types of organizations through which
these services are delivered, and how these and other organizations are involved in
the #elds of community health, community bene#t, and population health.
Health Care Services
Health care services are provided for the purpose of contributing to improved
health or to the diagnosis, treatment, or rehabilitation of sick people. Health care
The organization of the nation’s
complex and multifaceted
health care system can
evolve as patients’ needs and
government regulations and
policies change.*
*To hear the podcast, go to https://bcove.video/2E1WuAY or access the ebook on Springer Publishing ConnectTM.
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18 Part I. Health Policy
services include prevention, cure, rehabilitation, and palliation e!orts oriented to either
individuals or populations.
Prevention
Prevention of disease and maintenance of
general good health are the focus of health
promotion and preventive services. Health status is a!ected by a number of factors, including health policy, individual behavior, social determinants, physical
determinants, biology and genetics, and availability of health services. Services
associated with prevention may be focused on the health of an individual or the
health of a population. Although prevention services have always been available
in the United States, an even greater emphasis is placed on prevention because of
its prominence in the Patient Protection and A!ordable Care Act of 2010 (ACA)
as an essential component of health insurance bene”ts. Most health plans must
cover a set of preventive services at no cost to the bene”ciary. Additionally, a variety of new reimbursement mechanisms used by both private and governmental
payers incentivize provider organizations to keep patient populations healthy and
out of the hospital.
#e prevention “eld often distinguishes interventions delivered by a health
care provider (clinical prevention services) from those delivered by non–health
care providers (community-based prevention initiatives). According to the Institute of Medicine (IOM, 2012), a holistic view of community-based prevention
incorporates cultural, social, and environmental changes; also, community-based
prevention is often more di%cult to fund and sta! than clinical interventions.
Certain preventive services may be o!ered through a clinical–community relationship that might entail a primary care provider making a connection with a
community-based organization to provide speci”c services (such as a community-based weight-loss program) or collaboration between clinical and community-based organizations to network, coordinate, or cooperate on preventive
services delivery. Additionally, the “eld sometimes distinguishes between prevention initiatives that focus on individuals one at a time and initiatives that are
more population-based, working with larger groups of people (e.g., e!orts to
increase the availability of healthy food in low-income neighborhoods).
PUBLIC HEALTH, COMMUNITY HEALTH, AND POPULATION HEALTH It’s important to distinguish
between the “elds of public health, community health, and
population health,
which are sometimes used interchangeably yet di!er somewhat in de”nition and
scope. Traditionally, public health has been viewed as a function of federal, state,
and local public health departments to address health concerns a!ecting the public at large, such as preventing epidemics, containing environmental hazards, and
promoting healthy living (IOM, 2003).
A more expansive view of public health is the concept of
community health
improvement
or community bene”t, which focuses on collaboration among a
wide array of organizations (e.g., public health departments, health care delivery
organizations, social service agencies, government entities) to address issues
Health care services are
provided for the purpose of
contributing to improved health
or to the diagnosis, treatment, or
rehabilitation of sick people.
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Chapter 2. Organization of Care 19
impacting the health of a particular community. !e interest in how health care
and public health activities could be coordinated to improve the health of communities was accelerated in the mid-1990s, fueled by organizations such as the
Robert Wood Johnson Foundation, Institute of Medicine, and U.S. Department of
Health and Human Services and organized hospital groups such as the Catholic
Hospitals of America and Voluntary Hospitals of America (VHA), among others.
!e Association for Community Health Improvement is an a”liate organization
of the American Hospital Association (AHA) and serves as a national association
for community health, community bene#t, and population health professionals.
!is is one avenue through which hospitals and health systems receive educational resources, tools, networking opportunities, and professional development
to assist in achieving organizational community health goals.
Although many health care organizations actively engaged in community
health needs assessment and activities prior to the passage of the ACA, the ACA
mandates that all nonpro#t hospitals complete a community health needs assessment (CHNA) process every 3 years. CHNAs are a tool that have long been used
by hospitals, public health departments, and other social service agencies (e.g.,
United Way) to identify and prioritize signi#cant health needs in the community.
Community health also encompasses a broad perspective on the various components or factors that a$ect the health of a community, such as employment,
crime, education, housing, transportation, food, and medical care.
More recently, the concept of
population health has become an important
topic and focus for health care delivery organizations and payers. It has been
de#ned as “the health outcomes of a group of individuals, including the distribution of such outcomes within the group” (Kindig & Stoddart, 2003). In general,
population health focuses on health status indicators for a de#ned group of
people, and the goal of population health management is to improve the health
of the population and reduce inequities or disparities between population
groups. Ways that organizations approach population health management will
be described later in this chapter.
Clinical prevention services are often categorized as primary, secondary, or
tertiary, based on the stages of the disease they target.
PRIMARY PREVENTION SERVICES Primary prevention services are focused on preventing or reducing the probability of the occurrence of a disease in the future. Services are provided through public and private institutions and are often focused
on educating the public about the risks associated with individual behaviors that
can negatively a$ect their short- and long-term health.
Examples of primary prevention include immunizations for prevention of
childhood diseases, smoking cessation programs to reduce the risk of lung cancer
and heart disease, weight loss programs, prenatal and well-baby care, programs
to increase workplace safety, and the promotion of hand washing to reduce the
spread of in&uenza or other diseases. !e services are provided through a wide
variety of institutions, such as public health departments, physician o”ces,
hospitals, social service agencies, places of employment, houses of worship, and
broadcast media, among others.
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20 Part I. Health Policy
SECONDARY PREVENTION SERVICES !ese services are focused on the early detection
and treatment of disease in order to cure or control its e”ects. !e goal is to minimize the e”ects of the disease on the individual. Secondary services are largely
focused on routine examinations and tests such as blood pressure screenings,
Pap smears, routine colonoscopies, examination of suspicious moles, and mammograms. Early detection and treatment often increases the probability of a successful outcome.
TERTIARY PREVENTION SERVICES !ese services are targeted at individuals who already
have symptoms of a disease in order to prevent damage from the disease, to slow
down its progression, to prevent complications from occurring as a result of the
disease, and ultimately to restore good health to the person with the disease.
Tertiary prevention includes services such as providing diabetic patients with
education and counseling on wound care. It also includes institutional practices
such as infection control in a hospital facility to prevent illness or injury caused
in the process of providing health care.
Acute Care
Acute care is short-term, intense medical care providing diagnosis and treatment
of communicable or noncommunicable diseases, illness, or injury. !e de#nition of acute care varies across the scholarly literature and textbooks. Acute care
is sometimes de#ned as
primary, specialty, tertiary, or quaternary in nature,
centered around the care delivered by physicians and other providers in clinical
settings (such as physician o$ces and hospitals). Acute care services may be provided on an
outpatient basis (i.e., not requiring an overnight hospital or health
care facility stay) or on an
inpatient basis (i.e., requiring an overnight stay).
A more comprehensive de#nition of acute care includes not only these services
but also the emergency services provided in the community given the time-sensitive nature of the need for diagnosis and treatment. One proposed de#nition of
acute care includes the components of the health system where acute care is delivered to treat unexpected, urgent, and emergent episodes of illness and injury that
could lead to disability or death without rapid intervention (Hirshon et al., 2013).
Based on this de#nition, acute care encompasses a range of functions including
emergency care, trauma care, prehospital emergency care, acute care surgery,
critical care, urgent care, and short-term inpatient stabilization (Figure 2.1). !e
following sections outline the types of acute care based on the framework illustrated in Figure 2.1, although not all of the domains are discussed because of obvious overlaps. !e primary, specialty, tertiary, and quaternary care de#nitions are
incorporated into the framework to show where these levels of care best #t within
the acute care model and to note relationships to other forms of care.
EMERGENCY AND URGENT CARE Emergency care is designed to provide immediate
care for sudden, serious illness or injury, although it is sometimes utilized for
nonemergent care by individuals who are uninsured or underinsured. A medical
emergency is de#ned by what is known as the prudent layperson standard:
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Chapter 2. Organization of Care 21
[A] condition with acute symptoms of su!cient severity (including severe pain)
such that a prudent layperson, who possesses average knowledge of health and
medicine, could reasonably expect the absence of immediate medical attention to
result in (i) placing the health of the individual (or unborn child) in serious jeopardy, (ii) serious impairment of bodily functions, or (iii) serious dysfunction of any
bodily organ or part. (Social Security Act § 1867)
Emergent types of care (such as trauma) can be classi”ed by the triage level,
that is, by the emergency severity index (ESI). #e ESI is a “ve-level triage algorithm that clinically strati”es patients into groups based on immediacy of the
need to be seen, which includes the following levels:
1. Immediate (less than 1 minute)
2. Emergent (1–14 minutes)
3. Urgent (15–60 minutes)
4. Semiurgent (61–120 minutes)
5. Nonurgent (121 minutes–24 hours)
In 2015, .7% of ED visits were classi”ed as immediate, 7.4% as emergent, and
29.8 as urgent; the remaining 61.2% were either semiurgent, nonurgent, not triaged, or unknown (Centers for Disease Control and Prevention [CDC], 2017).
#e Emergency Medical Treatment & Labor Act of 1986 (EMTALA) requires
that all patients who present themselves for treatment at an ED must be screened
and evaluated, provided the necessary stabilizing treatment, and admitted to the
hospital when necessary—regardless of ability to pay.
Urgent care is used for an illness, injury, or condition that is serious enough
for a reasonable person to seek care right away but not so severe as to require
ED care. It is considered
ambulatory care, which means that the person in need
of care can walk (or ambulate) into the facility. However, a patient in need of
“ambulatory” care may need some assistance entering the facility, depending on
the nature of the illness or injury (e.g., severe ankle sprain). Services are provided
by physicians and advanced practice providers (such as nurse practitioners or
physician assistants) typically on a walk-in basis without a previously scheduled
appointment because of the immediacy of the need. Urgent care services may be
provided through a traditional physician practice or an urgent care center.
PREHOSPITAL CARE Prehospital care includes medical services provided in the community, such as stabilization by emergency services before or during transportation to a health care facility. It also includes evaluation and treatment provided
through local, community-based providers, as in a private physician practice
setting.
Primary care. Primary care is the “rst and most general source for routine
treatment of illness and disease. Primary care providers may be physicians, physician assistants, or nurse practitioners who have trained in family medicine,
internal medicine, pediatric medicine, gerontology, or other primary care “specialties,” such as obstetrics and gynecology. In the managed care environment,
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22 Part I. Health Policy
EMERGENCY
CARE
URGENT
CARE
PREHOSPITAL
CARE
CRITICAL
CARE
TRAUMA CARE
& ACUTE CARE
SURGERY
ACUTE
CARE
SHORT-TERM
STABILIZATION
a
b
c
d
e
f
aTreatment of individuals with acute surgical needs, such as life-threatening injuries, acute appendicitis, or
strangulated hernias.
bTreatment of individuals with acute life- or limb-threatening medical and potentially surgical needs,
such as acute myocardial infarctions or acute cerebrovascular accidents, or evaluation of patients with
abdominal pain.
cAmbulatory care in a facility delivering medical care outside a hospital emergency department, usually on
an unscheduled, walk-in basis (e.g., evaluation of an injured ankle or fever in a child).
dTreatment of individuals with acute needs before delivery of de!nitive treatment (e.g., administering
intravenous “uids to a critically injured patient before transfer to an operating room).
eCare provided in the community until the patient arrives at a formal health care facility capable of giving
de!nitive care (e.g., delivery of care by ambulance personnel or evaluation of acute health problems by
local health care providers).
fSpecialized care of patients whose conditions are life-threatening and who require comprehensive care
and constant monitoring, usually in intensive care units (e.g., patients with severe respiratory problems
requiring endotracheal intubation and patients with seizures caused by cerebral malaria).
Source: Hirshon, J. M., Risko, N., Calvello, E. J. B., de Ramirez, S. S., Narayan, M., #eodosis, C., &
O’Neill, J. (2013). Health systems and services: #e role of acute care.
Bulletin of the World Health Organization, 91, 386–388. doi:10.2471/BLT.12.112664. Used with permission.
FIGURE 2.1 DOMAINS IN ACUTE CARE
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Chapter 2. Organization of Care 23
primary care delivery plays an important role in the coordination of care to help
control costs and ensure that the appropriate level of care is sought for the health
concern. Primary care providers are involved in delivering both acute care and
preventive care.
Specialty care. Specialty care refers to care delivered through providers who
are trained as specialists or subspecialists in the !eld of medicine. “is type of care
sometimes requires a referral from a primary care physician. Specialists focus on a
particular body system or on a speci!c disease or condition; they have the knowledge and expertise to handle medical conditions beyond the realm of primary
care. For example, cardiologists diagnose and treat conditions involving the heart,
endocrinologists focus on hormone systems and may specialize in a disease such
as diabetes, and neurologists are trained to diagnose and treat disorders associated
with the nervous system—brain, spinal cord, and so on. Similarly to primary care,
specialty care may be utilized to address both acute and preventive care needs.
Chronic care. Chronic care is the continual treatment and monitoring of
conditions that can be controlled but not cured; it includes both physical and
behavioral conditions. Examples of chronic conditions include diabetes, hypertension, and depression. As the life expectancy of the population has increased, so
have the incidence and prevalence of chronic conditions. It is estimated that more
than one-fourth of all Americans and two out of three older Americans have at
least two chronic conditions, and approximately 66% of the nation’s health costs
are attributable to the treatment of people living with multiple chronic conditions (Agency for Healthcare Research and Quality, 2013).
“e management and treatment of chronic conditions may be delivered by
primary and/or specialty care providers. By de!nition, chronic care is not considered acute care; however, chronic conditions can cause or exacerbate acute
episodes of illness. Chronic care also !ts within the category of preventive services, which include services that focus on the early detection and management
of chronic conditions.
TERTIARY CARE Tertiary care typically involves hospitalization for specialty care
that requires highly specialized equipment and expertise and involves more complex therapeutic interventions, such as coronary bypass surgery, neurosurgery,
advanced neonatal intensive care, or treatments for severe burns or injuries. Some
tertiary care services may be provided on an outpatient basis, such as same-day
surgeries. Patients are admitted to a tertiary facility through a
practitioner order
from a quali!ed provider who has been granted admitting privileges by the facility.
QUATERNARY CARE Quaternary care, an extension of tertiary care, entails providing
the most complex medical and surgical care for highly specialized and unusual
cases. It may involve experimental procedures, experimental medications, or very
uncommon surgeries or procedures. Examples of quaternary care are advanced
trauma care and organ transplantation. Quaternary care is not o#ered by every
hospital or medical center; it is more likely to be found in academic medical centers.
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24 Part I. Health Policy
SUBACUTE INPATIENT CARE Subacute care is a level of inpatient care needed by a
patient immediately after or instead of hospitalization for an acute illness, injury,
or exacerbation of a disease process. !is level of care centers on providing one
or more active medical conditions or administering one or more technically complex treatments. It requires more intensive skilled nursing care than is provided
to the majority of patients in a skilled nursing facility (i.e., nursing home).
!e term “subacute care” has been applied to a broad range of medical and
rehabilitative services and settings that provide care to patients after an acute
care episode. It combines rehabilitation and convalescent services for patients
who typically need 10 to 100 days of treatment and is provided in settings other
than in acute care hospital beds. Subacute care is delivered in facilities licensed to
provide the appropriate level of care, which includes special units established by
acute care hospitals and skilled nursing facilities.
Rehabilitative Care
Rehabilitative health care services are aimed at restoring a person to his or her
original state of health (or as close as possible). Rehabilitation services help a person keep, regain, or improve skills and functioning for daily living that have been
lost or impaired because of illness or injury. Services include physical therapy,
occupational therapy, speech–language pathology, and psychiatric rehabilitation.
Rehabilitative services are o”ered in a variety of inpatient and outpatient settings.
Long-Term Care
Long-term care encompasses a range of services and support provided to meet
personal care needs on a long-term basis, most of which is not medical care. It
encompasses an array of services provided in a variety of settings for people who
have lost some independence because of a medical condition, injury, or chronic
illness. Long-term care is often used to provide assistance with
activities of daily
living (ADLs)
, such as bathing, dressing, using the toilet, transferring to or from
a bed or chair, and eating, among others. Other common services and support
assist with
instrumental activities of daily living (IADLs), which are everyday
tasks, such as housework, taking medication, preparing meals, shopping, and
responding to emergency alerts, among others.
!e duration and level of long-term care needed by individuals vary and often
change over time. Long-term care services may be provided in an individual’s
home or in a community setting or institution.
End-of-Life Care
End-of-life care is provided in the #nal hours or days of an individual’s life. !is
type of care includes physical, mental, and emotional comfort as well as social
support for people who are living with and dying of terminal illness or a condition that is advanced, progressive, and incurable. End-of-life care requires a range
of decisions. !ese decisions may include preparing advance directives to make
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Chapter 2. Organization of Care 25
end-of-life wishes clear to family and providers as well as determining the types
of treatment and care that will be utilized.
Palliative care is the treatment for discomfort, symptoms, and stress of serious illness, providing relief from pain, fatigue, nausea, shortness of breath, loss of
appetite, or problems with sleep. Palliative care can be received at any stage of an
illness but is always included in hospice care.
When the focus shifts from cure to care, a patient moves to hospice care.
Hospice care is end-of-life care utilized when a patient is expected to live 6
months or less. It is provided by a team of health care professionals and volunteers in the home, a hospice center, a hospital, or a skilled nursing facility. Hospice
programs also provide services to support a patient’s family. !e interdisciplinary
hospice team usually consists of the patient’s personal physician; hospice physician or medical director; nurses; hospice aides; social workers; bereavement
counselors; clergy or other spiritual counselors; trained volunteers; and speech,
physical, and occupational therapists, if needed.
Health Care Delivery Organizations
!is section discusses the wide range of organizations that exist to deliver health
care services, including hospitals, health systems, physician o”ces, specialty hospitals, long-term care facilities, rehabilitation hospitals, home health agencies,
and other health-related organizations.
Hospitals
By de#nition, a hospital (other than psychiatric) is an institution primarily engaged
in providing, by or under the supervision of physicians, to
inpatients, diagnostic
and therapeutic services for medical diagnosis, treatment, and care of injured,
disabled, or sick persons; or rehabilitation services for injured, disabled, or sick
persons.
Outpatient services are optional but have been growing in importance
over time as more and more medical interventions can be done in an outpatient
setting and as the #eld sees growing importance to integrating primary care, specialty care, and inpatient care for reasons of both quality and e”ciency.
According to the AHA (2018), the United States has approximately 5,534
registered hospitals, which include all community, federal, psychiatric, and longterm care hospitals and hospital units located in institutions (such as prison
hospitals, college in#rmaries, and so on). Hospitals can be categorized in a number
of ways, such as by purpose, size, ownership, location (urban or rural), teaching
status, or system a”liation. Most hospitals in the United States provide general
medical and surgical services on a short-term basis. !e four primary categories
for hospitals according to the AHA are (a)
community, (b) special, (c) rehabilitative and chronic disease, and (d) psychiatric.
Hospitals are subject to federal and state regulations. A hospital must be
licensed to operate; licensing is handled at the state level by the agency or entity
designated with such authority for the state. Licensure focuses on physical plant
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26 Part I. Health Policy
requirements, sanitation, personnel, and equipment. To receive reimbursement
for services provided to Medicare and Medicaid patients, hospitals must receive
certification from the federal government. Hospitals may choose to pursue
accreditation by !e Joint Commission, an independent, nonpro”t organization
that accredits hospitals and other types of health care institutions. !is voluntary
participation in accreditation is a symbol of quality that indicates the organization has met certain performance standards. !e Centers for Medicare & Medicaid Services (CMS) recognize accreditation as suitable proof that a hospital has
met the minimum requirements to receive certi”cation.
Patients are referred to the hospital for services on the authority of a member
of the medical sta# (i.e., a physician) who has been granted admitting
privileges
in accordance with state law and criteria for standards of medical care established
by the facility. Hospitals provide both
inpatient (requiring an overnight stay) and
outpatient services (not requiring an overnight stay). Outpatient services are
sometimes referred to as
ambulatory care, which means the patient is able to
walk (ambulate) into the facility to receive diagnostic or therapeutic treatment.
However, in actuality not all patients who receive outpatient services can ambulate (e.g., patients brought to the ED by ambulance).
COMMUNITY HOSPITALS By AHA de”nition, community hospitals are all nonfederal,
short-term
general, and other special hospitals accessible by the general public.
General hospitals provide patient services, diagnostic and therapeutic, for a variety of medical conditions; the
average length of stay (ALOS) is less than 25 days.
Hospitals also provide diagnostic x-ray services, clinical laboratory services, and
operating room services with facilities and sta# for a variety of procedures. Services are provided on both an
inpatient and an outpatient basis. Traditionally,
hospitals primarily have delivered care on an inpatient basis, but over the past
three decades more services have been moved to an outpatient, or
ambulatory,
basis to contain costs. In addition to cost containment, medical practices have
advanced enabling many procedures that previously required an overnight stay
to become less invasive and therefore require a shorter recovery period that can
be achieved at a patient’s home without nursing care.
Special hospitals provide diagnostic and treatment services for patients who
have speci”ed medical conditions, both surgical and nonsurgical. !ese hospitals
must provide the services deemed appropriate for the speci”ed medical conditions for which services are provided.
Community hospitals are grouped by ownership in three categories:
■■ Voluntary, not-for-pro”t (nonpro”t)
■■ Investor-owned (for-pro”t, proprietary)
■■ Public (state or local government owned and managed)
Some community hospitals operate as free-standing single hospital entities,
whereas others are part of a health system. A system is de”ned as either amultihospital
or diversi”ed single hospital system. Community hospitals may also be classi”ed as
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Chapter 2. Organization of Care 27
participating in a network, which is de!ned as a group of hospitals, physicians, other
providers, insurers, and/or community agencies that work together to coordinate
and deliver a broad spectrum of services to the community (AHA, 2018).
Hospitals may also be classi!ed by teaching status—teaching hospitals are
a”liated with medical schools and provide clinical education, residencies, and
internships for medical and dental students. #ese teaching hospitals (along with
other hospitals not a”liated with a medical school) also provide clinical education and training for nursing and allied health professions students. Teaching
hospitals are typically voluntary, not-for-pro!t or public, government-sponsored
hospitals. Some teaching hospitals operate as part of an
academic health center, which comprises an allopathic or osteopathic medical school, one or more
health professions schools (e.g., allied health, dentistry, nursing, pharmacy, public health, veterinary medicine), and one or more owned or a”liated teaching
hospitals or health systems. Academic health centers are heavily involved in clinical research and high-level tertiary and quaternary care, in addition to providing
advanced training and education for clinicians in primary and specialty care.
REHABILITATION HOSPITALS Rehabilitation hospitals specialize in providing therapeutic interventions to help patients regain functional ability to the highest possible
level after an injury or illness that has caused some loss of ability. By Medicare
de!nition, 75% of a rehabilitation hospital’s patients must require intensive (at
least 3 hours per day) rehabilitative services to treat conditions related to stroke,
spinal cord injury, major trauma, brain injury, or other debilitating disease or
injury. Rehabilitative services provided within these facilities include physical
therapy, occupational therapy, and speech-language therapy. Other services may
also be provided to assist patients with psychological, vocational, or social needs
related to their condition.
PSYCHIATRIC HOSPITALS #e primary function of a psychiatric hospital is to provide
diagnostic and treatment services for patients who have a psychiatric-related
illness. Some facilities specialize in short-term or outpatient therapy, whereas
others may specialize in temporary or permanent care of residents who require
routine assistance, treatment, or a specialized and controlled environment as a
result of a psychological disorder. General hospitals may also operate psychiatric
units within their organizations.
Psychiatric hospitals are required to provide clinical laboratory and diagnostic x-ray services in addition to psychiatric, psychological, and social work services. Psychiatric hospitals have written agreements with general hospitals for
the transfer of patients in need of medical or surgical services not available at the
psychiatric institution (AHA, 2018).
OTHER HOSPITALS #e federal government operates approximately 209 hospitals
that are not accessible to the general public. Included among these hospitals are
those operated by the Veterans Administration (VA) for the nation’s military veterans, the Department of Defense (DOD) for active duty military personnel, and
the Indian Health Service (IHS) for American Indians and Alaska Natives.
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28 Part I. Health Policy
Physician Organizations
In the United States, physicians have traditionally been self-employed, working in
private medical practices that they own either solely or in partnership with other
physicians. Hospitals establish relationships with physicians by granting them
admitting privileges to provide inpatient and outpatient procedures and services
to their patients that cannot be delivered within the physician practice setting. In
recent years, however, there has been a trend toward the employment of physicians
by hospitals and other health care organizations and toward larger practice sizes.
!is trend has been attributed to a number of reasons, including stagnant reimbursement rates, a desire for better work-life balance for physicians, and e”orts by
hospitals to increase market share. !e results of a physician practice benchmark
survey in 2016 conducted by the AMA indicate that only 47.1% of physicians have
an ownership stake in their practices, and an equal amount (47.1%) are employees
of either a medical practice or hospital organization. !is marks the #rst year that
the majority of physicians are not practice owners, with a 6% decrease observed
from a prior study conducted in 2012. Additional trends indicate that having an
ownership stake is less common among women physicians than men and less
common among younger physicians than older physicians (Kane, 2017).
As mentioned, physicians may be employed by others (e.g., hospitals, government, medical schools) or be self-employed (i.e., in
private practice). A variety of physician practice settings are utilized in the United States, which include
solo practice, single specialty group practice, multispecialty group practice
(MSGP)
, corporate medical practice, and urgent care centers, among others.
SOLO PRACTICES A physician practice operated by one physician is known as a solo
practice. Approximately 20% of physician practicing in the United States are in
solo practices, compared with 40.5% in 1983 (AMA, 2013). According to the
AMA (2013), a majority of physicians in solo practices own their practice.
SINGLE SPECIALTY GROUP PRACTICES !e most common type of physician practice is
the single specialty group practice: a practice with two or more physicians who
have the same medical specialty, such as internal medicine or cardiology. Fortytwo percent of the physicians in the United States are in a single specialty group
practice (Kane, 2017).
MULTISPECIALTY GROUP PRACTICES A multispecialty group practice consists of two or
more physicians who practice di”erent medical specialties. Approximately 25% of
physicians in the United States are in a multispecialty group practice (Kane, 2017).
CORPORATE MEDICAL PRACTICES Corporate medical practices are physician practices owned by business corporations or entities. !is is commonly known as
the
corporate practice of medicine (CPOM). CPOM is prohibited in some
states: !e types of prohibitions vary by state and may be found in various laws,
regulations, or court rulings. A typical exception allows hospitals and health
maintenance organizations (HMOs) to employ physicians because these businesses were established for the purpose of providing treatment to patients and
are licensed entities. Most states allow physicians to provide services through a
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Chapter 2. Organization of Care 29
professional service corporation (P.C.), a business entity formed for the purpose
of providing professional services, such as medical services. Some states have
CPOM laws but do not enforce them. Such laws were established in an earlier
era when concern about the commercialization of medicine led to great e!orts to
ensure that medicine would be practiced only by licensed professionals.
URGENT CARE CENTERS Urgent care centers o!er walk-in, extended-hour access to
individuals with acute illness and injuries that are not bona “de emergencies.
In addition to services found in the typical physician’s o#ce, urgent care centers usually can treat minor fractures and provide intravenous $uids as well as
perform on-site x-ray and laboratory test processing. %ese centers are typically
sta!ed by physicians and other providers and operate 7 days a week, including
holidays, from 8 or 9 a.m. until 7 or 9 p.m. %is is a growth area in the health care
delivery system, with more than 9,000 centers operating nationwide and approximately 300 new centers opening each year.
COMMUNITY HEALTH CENTERS Community health centers (CHCs) provide health care
services, focusing on primary and preventive care, to medically underserved and
indigent populations. Approximately 27 million people are served by CHCs in
10,400 communities in the United States (National Association of Community
Health Centers, n.d.). To receive care at a CHC, an individual must be a resident
of the state in which the center is located, be uninsured, and be poor as de”ned by
federal poverty guidelines. CHCs contract with the state or local health department to provide services to eligible individuals; they also help to provide linkages
to social services and government-sponsored health insurance programs, such as
Medicaid and the Children’s Health Insurance Program (CHIP). CHCs may be
organized as part of a public health department or another health service organization, or as a nonpro”t organization.
Ambulatory Surgery Centers
Ambulatory surgery centers (ASCs) are facilities that provide surgical services
for procedures that are done on an outpatient basis. %is is sometimes referred to
as
same-day surgery. ASCs are not physician o#ces, although physicians have
taken the lead in their development.
%e “rst ASC was established in 1970 by two physicians. Today, more than
5,400 ASCs are in operation across the United States. Physicians have some ownership in approximately 90% of the licensed ASCs in the United States. Community hospitals have also partnered with physicians to open and operate ASCs, and
a small percentage of ASCs are entirely hospital owned.
Patients treated at an ASC have already been diagnosed by a physician
and have elected to have an outpatient surgical procedure. All ASCs must
have at least one dedicated operating room and the appropriate equipment to
perform surgery safely and provide quality patient care. %e most prevalent
specialties served by ASCs are ophthalmology, orthopedics, gastrointestinal,
pain management, plastic surgery, and urology (Ambulatory Surgical Center
Association, 2018).
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30 Part I. Health Policy
Long-Term Care Organizations
Long-term care organizations operate facilities for individuals who are not able
to manage independently in the community. !e services provided in these facilities vary depending on the level of assistance needed; services may range from
custodial care and chronic care management to short-term rehabilitative services. Long-term care facilities (LTCFs) may be owned by government entities,
nonpro”t organizations (including churches), or investor-owned corporations.
LTCFs may be independent facilities that are either freestanding or operated
within a
continuing care retirement community. LTCFs may be part of a multifacility organization (that is, a chain) or may be hospital-owned as either an
attached or a freestanding facility.
INDEPENDENT LIVING FACILITIES Independent living facilities are multiunit housing
developments that may provide support services such as meals, transportation,
housekeeping, and social activities. !ese facilities are typically utilized by active
senior adults who do not require assistance with ADLs.
Independent living facilities are sometimes operated as part of a
continuing
care retirement community
, which provides a full range of LTCFs and other
services—an assisted living facility and a skilled nursing facility. !is arrangement
enables seniors to make a transition into a residence that meets their physical
needs as they begin to require more medical assistance. Independent living facilities that do not provide many services beyond a residence are sometimes referred
to as senior apartments.
ASSISTED LIVING FACILITIES Assisted living facilities are available for individuals who
are basically able to care for themselves but may need some assistance with some
daily activities. Assisted living facilities are residential facilities that provide services that may include meals, laundry, housekeeping, medication reminders, and
assistance with ADLs and IADLs.
Most states require licensure for assisted living facilities, and the exact de”nition
of what constitutes an assisted living facility varies among states. Approximately
90% of assisted living services in the United States are paid through private funds,
although a few states allow payment for assisted living through Medicaid waivers.
SKILLED NURSING FACILITIES A skilled nursing facility (or nursing home) is licensed by
the state in which it operates to provide 24-hour nursing care, room and board,
and activities for convalescent residents and residents with chronic or long-term
illnesses or conditions. Special populations served by skilled nursing facilities
include physically or mentally challenged children and adults, and children and
adults with debilitating diseases and/or conditions. Regular medical supervision
and rehabilitation services must be available. !e facilities are sta#ed by health
care professionals including a physician as medical director, registered nurses
(RNs), licensed practical nurses (LPNs), and trained nursing assistants. Skilled
nursing facilities are reimbursed through a variety of mechanisms, including private funds, long-term care insurance, Medicare (for short-term rehabilitation or
subacute care), and Medicaid. Medicaid is the source of payment for 6 out of 10
residents in skilled nursing facilities.
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Chapter 2. Organization of Care 31
Rehabilitation Organizations
Rehabilitative services are provided in a variety of inpatient and outpatient settings, including inpatient rehabilitation hospitals, rehabilitation units in acute
care hospitals, skilled nursing facilities, outpatient rehabilitation centers and
units, and other medical rehabilitation providers.
INPATIENT REHABILITATION FACILITIES An inpatient rehabilitation facility is either a
freestanding inpatient rehabilitation hospital or a unit of an acute care hospital.
Intensive acute rehabilitation services are provided and generally include at least
3 hours of therapy per day for 5 to 7 days each week. !erapy may include physical, occupational, speech, or recreation therapy.
Patients who cannot tolerate intensive therapy in an acute rehabilitation setting may be transferred to a transitional care
, long-term care, or subacute care
facility, where less intensive rehabilitation services are provided along with other
medical services (e.g., 24-hour skilled nursing care) needed for convalescence
and recovery.
OUTPATIENT REHABILITATION PROVIDERS Rehabilitation services may be provided on
an outpatient basis—that is, the patient lives at home and visits the facility for
therapy. !erapy plans are developed on an individual basis and typically include
2 to 3 days of treatment per week. Nursing services are usually not included in
the outpatient setting.
Centers of care are facilities that provide outpatient rehabilitative services for patients with a particular speci”c illness, such as multiple
sclerosis, Parkinson’s disease, or stroke.
!ree types of providers may qualify for reimbursement for outpatient rehabilitation services by Medicare:
■■ Rehabilitation agencies are organizations that provide integrated, multidisciplinary
programs designed to upgrade the physical functions of handicapped and disabled
individuals through a specialized team of rehabilitation personnel.
■■ Rehabilitation clinics are facilities established primarily to provide outpatient rehabilitative services by physicians. To meet the de”nition of a clinic, medical services
must be provided a group of three of more physicians practicing rehabilitation medicine together, and a physician must be present in the facility at all times during the
hours of operation to perform medical services.
■■ Public health agencies are o#cial agencies established by state or local government
that provide environmental health services, preventive medical services, and, sometimes, therapeutic services.
Integrated Delivery Systems
An integrated delivery system (IDS) is a collaborative network of providers who
work together in a coordinated fashion to provide a continuum of care to a particular patient population or community. Within an IDS, providers work together
through information sharing, shared responsibility, and collaborative resource
utilization (Enthoven, 2016). Many believe integrated delivery systems can help
to address some of the problems associated with the fragmented delivery system
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32 Part I. Health Policy
in the United States and move toward the goals of improving the quality and
accessibility of care while containing or reducing costs.
Integrated delivery systems have existed since the early 1900s, but interest
in the IDS concept began to spread in the 1990s when hospitals and physician
practices consolidated through mergers and acquisitions in the face of changing
reimbursement methodologies from public and private insurers. Interest in IDSs
has surged in recent years during the national health reform debate as experts
have suggested that the IDS approach to health care delivery can improve quality
and reduce costs. Research has shown that IDSs have a positive e!ect on quality,
but there is little evidence of an e!ect on costs or health care utilization (Hwang,
Chang, LaClair, & Paz, 2013).
Two types of integration—horizontal and vertical—are used to create an
IDS.
Horizontal integration involves linking organizations that provide the
same level of care, such as a multispecialty group practice.
Vertical integration
involves linking organizations that provide di!erent levels of care, for example,
preventive, primary, secondary, tertiary, and long-term care. One of the goals of
an IDS is to provide
continuity of care for the patient, which includes continuity of information (e.g., shared medical records), continuity across primary and
secondary care (e.g., discharge planning from specialist to generalist care), and
provider continuity (e.g., seeing the same provider each time).
Emergency Medical Services
An emergency medical service (EMS) provides acute care for medical emergencies that take place outside the hospital setting. EMS is utilized within a community to treat those in need of urgent medical care or to stabilize and transport
patients with illness or injuries who are unable to transport themselves to the
appropriate medical facility. It is a system of coordinated response and emergency medical care involving multiple people and agencies.
EMS is regulated by federal and state governments and may be provided by
paid professionals or, in some communities, by volunteers. “e organization of
EMS varies from community to community, based on state regulation, population density, and topography, and may be provided via public institutions, private
institutions, or a public–private con#guration. Prehospital EMS can be based in a
#re department, a hospital, an independent government agency (such as a public
health agency), or a nonpro#t corporation (such as a rescue squad); EMS may
also be provided by commercial for-pro#t companies. “e essential components
of an EMS system are the same regardless of the provider.
Home Health Care Organizations
Home health agencies and organizations provide medical services in a patient’s
home. Services are typically provided for elderly or disabled patients, or for
patients who are unable to visit a hospital or physician’s o$ce because of weakness after surgery or other reasons. Care provided in the home may be acute,
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Chapter 2. Organization of Care 33
long-term, or end-of-life. Home health primarily involves the provision of skilled
nursing services and therapeutic services (e.g., physical, occupational, and/or
speech and hearing). A home health agency may be a public, nonpro!t, or proprietary agency and may be a subdivision of a larger organization. “e agency
must be licensed by the state in which it operates or receive approval that it has
met all standards and requirements to operate. “ese agencies are also subject
to certi!cation requirements by CMS and may also seek accreditation from an
independent accrediting organization. Home health agencies and organizations
must have policies established by a governing body that must include at least one
physician and one RN, and the services it provides must be overseen by a physician or a registered professional nurse.
Hospice and Palliative Care Organizations
Palliative care services are available for anyone with a serious illness as well as for
patients who are terminally ill. Palliative care may be provided in a hospital, outpatient clinic, long-term care facility, or hospice facility. It is delivered by a team
of specialists, including physicians, nurses, and social workers, and may include
other professionals, such as massage therapists, pharmacists, and nutritionists.
Each facility where palliative care is provided typically has its own palliative care
team; these professionals work in partnership with a patient’s primary physician
and others involved in treating the individual.
Hospice care is provided to terminally ill patients either in their homes (
hospice residential care) or in a health care facility (hospice inpatient care) owned and
operated by a hospice organization or health system. According to the National
Hospice and Palliative Care Organization (2018), hospice care programs were
!rst established in 1974 and have grown in number to more than 4,199 Medicare certi!ed programs, including both primary locations and satellite o#ces, as
of 2015. “e majority of hospice programs are o$ered by freestanding, independent agencies (72.2%), and the remainder are part of a hospital system (14.2%),
home health agency (12.9%), or nursing home (0.6%). Hospice programs range in
size from small organizations serving fewer than 50 patients on an annual basis
to large, corporate chains operating programs on a national basis and caring for
thousands of patients each year. In 2015, 32% of hospice programs registered with
Medicare were nonpro!t organizations, 63% were for-pro!t organizations, and
about 5% were government owned and operated.
Pharmacies
Medication is an integral part of health care delivery, and pharmacists play a
signi!cant role in ensuring the safe and e$ective use of medication to achieve
desired health outcomes. “e role of the pharmacist has traditionally been to
dispense medication; that role is now expanding into the direct care of patients
as the use of medication has grown and new technologies are employed in the
medication dispensing and utilization processes.
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34 Part I. Health Policy
Licensed pharmacies include retail pharmacies in the community setting and
hospital or other institutional pharmacies. Community pharmacies include chain
pharmacy organizations (e.g., CVS, Walgreens); pharmacies located within other
large retail organizations (e.g., Walmart, Kroger); and independent, locally owned
and operated pharmacies. !e community pharmacy provides the public with
access to medication, including administering “u shots, and serves as a source of
advice on health issues. Approximately 6 out of 10 licensed pharmacists work in
the community setting. Institutional pharmacies control drug distribution within
a health care facility and help to ensure each patient receives the appropriate drug
and dosage. Institutional pharmacies are involved in highly specialized areas,
including nuclear medicine, intravenous therapy, and drug and poison information. A hospital or health system may also operate a retail pharmacy within its
facilities in addition to its clinical pharmacy operation.
Pharmaceutical Companies and Medical Device Manufacturers
Another integral part of the health care delivery system are the pharmaceutical companies and medical device manufacturers that develop and supply medications, medical supplies, durable medical equipment, and medical devices to
health care organizations and sometimes directly to the public. Not only do these
organizations supply materials needed for the direct care of patients, but they
also play an important role in helping ensure safe and e#ective care.
Medical device manufacturers provide essential products for modern
medical care, including devices that range from CT scanners and surgical robotic
devices to blood pressure cu#s and thermometers. !ese products also constitute a signi$cant portion of the national health expenditure. !e CMS estimates
retail spending on durable medical equipment in the amount of $51 billion and
spending for other nondurable medical products at approximately $62.2 billion
in 2016. !e biopharmaceutical industry comprises the pharmaceutical and
biotechnology industries. Biopharmaceutical companies develop, manufacture,
market, and distribute drugs and vaccines used to prevent and treat diseases. It is
made up of four sectors: pharmaceutical and medicine manufacturers, pharmacy
wholesalers, research and development services, and management of companies
and enterprises. Biopharmaceutical companies spend up to $135 billion annually on research and development, and it is estimated that it takes up to 15 years
to develop a medicine or vaccine. !e biopharmaceutical industry accounts for
nearly 20% of all research and development investment in the United States,
where new drugs must be approved by the Food and Drug Administration (FDA)
as safe and e#ective.
!e industry is sometimes referred to as “Big Pharma” because of its size,
its in”uence over health care legislation, and its e#ect on the cost of health care
delivery. !irty-six of the largest pharmaceutical companies make up the membership of the industry’s professional association, the Pharmaceutical Research
and Manufacturers of America (PhRMA), and invest more money in lobbying
than any other industry in the United States.
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Chapter 2. Organization of Care 35
Other Delivery Organizations
TELEMEDICINE Telemedicine uses electronic communications to exchange medical
information between sites to improve a patient’s clinical health status. Telemedicine services may include primary care and specialist referral services, remote
patient monitoring, consumer medical and health information, and medical
education. Hospitals, specialty clinics, home health agencies, and physicians’
o!ces all use telemedicine. “e services may be o#ered within a single health
care organization or between health care organizations.
According to the American Telemedicine Organization (2018), more than
half of U.S. hospitals are participating in some form of telemedicine, and more
than 200 telemedicine networks with 3,500 service sites exist in the United
States. Emerging models of telemedicine delivery include o#ering specialty consultation services through membership associations that match people in need
of services with providers, and independent businesses that are organized to
provide telemedicine consultation services but are not health care providers.
“ese independent businesses recruit appropriately licensed specialists to provide telemedicine services and then market these services and handle contract
negotiations and all legal and technical aspects of delivery.
Retail Clinics
Retail clinics are medical clinics located in pharmacies, grocery stores, and “big
box” stores such as Target. “ese clinics provide routine care for acute conditions (e.g., bronchitis) as well as preventive care. Retail clinics began emerging in
2000, and more than 2,000 clinics were operating in the United States by 2016.
Retail clinics are often open extended hours and on weekends, o#ering a convenient alternative for routine care, particularly when conventional physician
o!ces are closed. A study by the Rand Corporation indicated that young adults
(ages 18–44) account for 43% of patient visits, although the utilization of retail
clinics by seniors is increasing (Rand Health, 2016). In 2016, three-quarters of
the retail clinics in the United States were operated by two companies—CVS and
Walgreens (Rand Health, 2016). Retail clinics are also operated by hospital chains
and physician groups, accounting for about 11% of the market. Although some
critics of retail clinics voiced concern about the quality of care provided, research
suggests that these facilities provide equivalent quality of care to care o#ered in
other provider settings for a select group of conditions. Most commonly, patients
seek care at retail clinics for acute conditions including respiratory infections and
sore throats. However, these clinics are viewed as promising settings for vaccinations and chronic care management.
Health System Performance
Although the United States spends more money per capita on health care than
any other nation in the world, we are lagging behind other countries on a variety of quality indicators, including average life expectancy and infant mortality
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36 Part I. Health Policy
rates. !e Institute of Medicine (IOM) estimates that more Americans are killed
every year by medical errors than in automobile accidents. As a response to these
staggering statistics, the IOM released
Crossing the Quality Chasm (2001), a
landmark report that issued a mandate for improvement in U.S. health system
performance. Additionally, a portion of the ACA is dedicated to improving quality and health system performance through funding research, aligning “nancial
incentives with performance outcomes, and identifying a national quality strategy. Although marginal improvements in quality and performance have been
observed in the past decade, we still have a long way to go to achieve a highperforming health system.
Organizations such IOM, the Institute for Healthcare Improvement (IHI),
and the National Committee for Quality Assurance (NCQA) are leading the
health system improvement movement through initiatives including patient centeredness, the Triple Aim, and the
patient-centered medical home (PCMH).
!e CMS is “nancially incentivizing the “meaningful use” of electronic health
records (EHRs) by health care providers to promote quality improvement in
health care. Quality improvement e#orts of this type promote collaboration
among health care providers, payers, the government, and other stakeholders with the goal of achieving real health system change. In the next section
of this chapter, we provide an overview of some of the quality improvement
initiatives that demonstrate the most promise in improving U.S. health system
performance.
The Triple Aim
!e IHI is a not-for-pro”t organization that
is dedicated to improving health and health
care worldwide. !e IHI (2018) promotes a
learning initiative and a framework called
the Triple Aim for health care organizations and communities. !e idea behind the
Triple Aim is that to improve the delivery
of health care in the United States, organizations must simultaneously pursue three
dimensions: (a) improve the patient experience of care, (b) improve the health of populations, and (c) reduce the per-capita
cost of health care.
Achieving this triple aim is di$cult because one organization is rarely
accountable for all three dimensions. However, the IHI has identi”ed “ve system
components necessary for ful”llment of the Triple Aim:
■■ Focus on individuals and families: Care should be customized at an individual level
utilizing families and caregivers as partners.
■■ Redesign primary care services/structures: A team of professionals must be established
that can deliver the majority of necessary care.
The idea behind the Triple Aim
is that to improve the delivery
of health care in the United
States, organizations must
simultaneously pursue three
dimensions: improve the patient
experience of care, improve the
health of populations, and reduce
the per-capita cost of health care.
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Chapter 2. Organization of Care 37
■■ Population health management: Partnerships within the community are necessary to
promote prevention and wellness.
■■ Cost control platform: Cooperative relationships with provider groups must be in place
to control costs.
■■ System integration and execution: Services across the continuum of care must be
coordinated.
Although the Triple Aim initiative is ambitious, a few health systems have
taken on the challenge and have succeeded. A strong focus on primary care, coupled with community alignment, is necessary to achieve positive patient experiences and improvement in population health. Additionally, active physician
participation is crucial to reduce costs. A model of care utilizing a multidisciplinary approach is one way to approach the Triple Aim. Signature Healthcare
achieved success with this approach by initiating a Complex Care Clinic focused
on high-risk Medicare Managed Care patients
Signature Healthcare, located in eastern Massachusetts, provides services to
approximately 10,000 residents over the age of 65. !eir most vulnerable patient
population includes elderly with multiple chronic illnesses, social challenges, and
functional limitations. Signature decided to develop a process focused on providing quality care for this population, and they used the principles of the Triple Aim
for guidance.
1. Signature created a Complex Care Clinic led by nurse practitioners to facilitate the
management of chronic diseases among this patient population. Appointments were
lengthened from 15 minutes to 40 minutes per visit to accommodate patient needs.
Nurse practitioners, in consultation with physician partners and a care coordination
team, took over care management for these patients.
2. Signature engaged community stakeholders in patient care. For example, many
elderly patients needed assistance with transportation, “nances, and meals. Signature engaged local organizations, including the Alzheimer’s Association and the
Visiting Nurse Association, as partners in care. Additionally, they worked with
the local public transportation system to facilitate subsidized transport for these
patients.
3. Signature updated its infrastructure to best serve this patient population. Internal
roles were reassessed, guidelines speci”c to geriatric conditions were put into place,
and screening protocols to help identify seniors at risk for falls were implemented and
integrated into the health record.
Signature’s initiative aimed at managing elderly patients with complex
conditions was successful on a variety of fronts. Patients participating in the
Complex Care Clinic had decreased ED utilization and decreased hospital
admissions. Billing and coding practices improved as a result of the coordinated
approach to providing care. Finally, patient feedback on the new approach to care
was extremely positive, and approximately 98% of patients rated their care as
“very good” (IHI, 2015).
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38 Part I. Health Policy
Patient Centeredness
!e IOM identi”ed patient centeredness as one of six domains that de”ne quality
care. Patient-centered care is “care that is respectful of and responsive to individual patient preferences, needs, and values and ensures that patient values guide
all clinical decisions” (IOM, 2001). Six dimensions to patient-centered care have
been identi”ed (Gerteis, Edgman-Levitan, & Daley, 1993):
■■ Respect for patients’ values, preferences, and expressed needs
■■ Coordination and integration of care
■■ Information, communication, and education
■■ Physical comfort
■■ Emotional support
■■ Involvement of family and friends
Providing patient-centered care means giving patients the information they
need to participate actively in decision making about their care with the goal of
obtaining the most desirable outcome. If a patient is incapacitated or unable to
participate in decision making regarding his or her care, then a family member
or caregiver should be engaged. When a health care intervention cannot provide
a cure, it should aim to alleviate the patient’s su#ering. !e likelihood that an
outcome desired by a patient can be achieved is increased by actively involving
patients and family members in decision making regarding the provision of care.
Although we are making progress in this direction, research suggests that
certain patient-centered practices are still rare. Movements toward the PCMH
and patient-centered research are continuing to shift the momentum in the right
direction; however, there is still a long way to go. !e achievement of a truly
patient-centered health system will require the participation of patients, family
members, physicians, nurses, and other health care providers involved in the
provision of care.
Population Health Management
In terms of the organization of care, there is a growing interest among the payer
community (insurance companies, Medicare, etc.) for providers to engage in
population health management of de”nable patient populations for which they
provide coverage. Provider organizations are engaging in a variety of population
health management activities that involve managing a patient’s care across provider settings. First, e#ectively managing the network of providers that patients
see can help ensure they are receiving the most e$cient and e#ective care for
their conditions. Helping patients navigate physician and specialty care visits can
facilitate information sharing among providers and led to better care outcomes.
Providers are also making e#orts to manage patient transitions of care. A transition in care occurs when a patient moves from one health care delivery setting to
another. For example, a patient might be discharged from an acute care hospital
and require home health services to facilitate recovery. A hospital can manage
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Chapter 2. Organization of Care 39
this transition of care by proactively planning for the discharge with the patient,
family, and home health service.
Provider organizations are also beginning to invest in providing care within
the home for seriously ill patients. Hospitals are trying new ways to embed
resources within the homes of high-risk patients to ensure they remain compliant with medication protocols and remain healthy. Outreach may involve phone
calls, telemedicine services, or simply deploying a practitioner to the patient’s
home. Finally, provider organizations understand that chronic diseases are the
primary drivers of death and disability in the United States. Using data analytics
can help organizations identify chronically ill patients so that their conditions can
be carefully managed (Optum, 2014).
THE FUTURE OF THE DELIVERY SYSTEM
Recent years have seen the introduction of several innovative new models of care
that have potential to realign incentives and improve overall health system performance in terms of cost, quality, and access. !e ACA encouraged the adoption
of these new models, and a variety of new organizational forms have emerged
from the private sector. Renewed interest in physician employment models also
demonstrates potential for increased integration and more closely aligned clinical and “nancial incentives between physicians and other providers.
Innovative Models of Care Delivery
Patient-Centered Medical Homes
!e PCMH model of primary care emphasizes communication and care
coordination. Patient centeredness is an important goal of PCMHs. Physician
practices must meet certain standards to be designated as PCMHs. !e NCQA
released revised standards for PCMHs in
2017 focused around six concepts which
represent the overall themes for PCMH
(see Table 2.1). Evidence suggests that the
PCMH is e#ective at improving health care

quality and reducing costs.
Group Health Cooperative (GHC) in

Seattle, Washington, provides an example of a successful PCMH model. GHC
is a nonpro”t health system that consists of physician groups, medical facilities,
and health plans that serve Washington and northern Idaho. In 2006, the system
decided to pilot test a PCMH practice. GHC’s pilot practice expanded sta$ng and
emphasized the use of care teams. !e ratio of patients to primary care providers was reduced for the pilot practice, and their enhanced sta$ng model included
physicians, medical assistants, LPNs, physician assistants/nurse practitioners,
RNs, and pharmacists. !e idea behind this increased sta$ng was to facilitate
Evidence suggests that the
PCMH is effective at improving
health care quality and reducing
costs.
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40 Part I. Health Policy
patient relationships and to allow for comprehensive coordinated care. Additionally, patient encounters with clinical sta! increased from approximately 20 minutes
to 30 minutes in duration, and time was set aside each day for teams to create
coordinated care plans (Reid et al., 2010). “e pilot clinic was so successful that
HGC spread implementation of the PCMH model across 25 additional clinics. “e
clinics that implemented PCMH practices experienced better health outcomes,
increased access to care, and improved physician and sta! satisfaction (Reid, 2015).
Health Homes
Health homes were created by the ACA to give states an option for providing
patient-centered, medical home–type services to Medicaid bene#ciaries su!ering from severe or multiple chronic conditions. “e purpose of health homes is
to create a system of care that facilitates and coordinates access to primary care,
acute care, behavioral care, and long-term community-based services. Medicaid
bene#ciaries with (a) at least two chronic conditions, (b) one chronic condition
and high risk for another, or (c) a serious mental health condition are eligible for
health home services.
Health home services are o!ered by
designated providers, teams of health professionals that link to a designated provider,
or a health team. Physicians, group practices,
community health centers, home health
agencies, or any other provider deemed
TABLE 2.1 STANDARDS FOR PATIENT-CENTERED MEDICAL HOMES

CONCEPT AREAS CONTENT
Team-Based Care and Practice
Organization
Helps structure a practice’s leadership, care team responsibilities, and
how the practice partners with patients, families, and caregivers
Knowing and Managing Your
Patients
Sets standards for data collection, medication reconciliation, evidence
based clinical decision support, and other activities
Patient-Centered Access and
Continuity
Guides practices to provide patients with convenient access to clinical
advice and helps ensure continuity of care
Care Management and Support Helps clinicians set up care management protocols to identify patients
who need more closely managed care
Care Coordination and Care
Transitions
Ensures that primary and specialty care clinicians are effectively
sharing information and managing patient referrals to minimize cost,
confusion, and inappropriate care
Performance Measurement and
Quality Improvement
Improvement helps practices develop ways to measure performance,
set goals, and develop activities that will improve performance

Source: Adapted from National Committee for Quality Assurance. (2018). Structure of concepts, criteria, and
competencies
. Washington, DC: Author.
Promoting care for the whole
person, care that is individually
tailored to each patient and
family, is a goal of health homes.
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Chapter 2. Organization of Care 41
appropriate by the state is considered a designated provider. Health teams consist
of a physician and other health care professionals such as nurses, social workers,
and other appropriate professionals. Health homes provide care management,
care coordination, health promotion, transitional care from inpatient to other
settings, individual and family support, follow-up care, and referral to community social support services. Additionally, health homes use health information
technology (IT) to coordinate such services. Health homes must provide qualitydriven, cost-e!ective, culturally appropriate care. Promoting care for the whole
person, care that is individually tailored to each patient and family, is a goal of
health homes.
Accountable Care Organizations
Accountable care organizations (ACOs) are groups of providers that share
responsibility and “nancial accountability for providing high-quality, coordinated care to Medicare patients. #e goal of ACOs is to ensure that patients get
the right care at the right time in the most e$cient way. ACOs are organized
around primary care providers, and the high level of care coordination provided
by ACOs is particularly important for the chronically ill. If ACOs are successful at
meeting quality and cost savings targets, these organizations qualify for “nancial
incentives or shared savings from the Medicare program.
#e ACA facilitated the creation of ACOs for the Medicare program. Some
ACO models allow for sharing of “nancial risk and reward for a de”ned population of patients, while other ACOs allow for shared savings based on “nancial and quality targets Family Foundation. In 2018, more than 550 Medicare
ACOs represented approximately 12 million Medicare bene”ciaries. Additionally, provider groups are creating “ACO-like” organizations that strive to
facilitate comprehensive care coordination for patient populations beyond
Medicare bene”ciaries.
Medicare ACOs have demonstrated moderate success in reducing costs and
improving quality for patient populations. In 2016, all ACO types generated
signi”cant net savings and demonstrated lower spending on Medicare services.
In terms of quality, all ACO models had equivalent or better quality than traditional Medicare providers (Kaiser Family Foundation, 2018). Although early
indicators of success are limited, ACOs remain a promising model for improving care coordination and lowering the cost of care for particular populations
of patients.
Beth Israel Deaconess Care Organization (BIDCO) achieved success as one of
the early Medicare “Pioneer” ACOs. It is currently participating with the Medicare program as a “Next Generation” ACO, a program designed for organizations
with experience coordinating care for Medicare bene”ciaries. BIDCO includes
more than 2,500 physicians, a variety of community hospitals, and a network
of providers allowing it to function as an IDS. #ey support providers with a
robust population health program that facilitates regular provider meeting and
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42 Part I. Health Policy
information sharing among network participants. BIDCO attributes its success
as an ACO to several factors:
1. First, BIDCO created an IT infrastructure that allows information sharing among
providers. !is gives providers the information needed to make evidence-based care
decisions.
2. Second, BIDCO worked with a variety of stakeholders from within and outside the
health care industry to redesign processes and “nd a fresh approach to providing care.
3. !ird, BIDCO increased transparency surrounding quality indicators and this
approach resulted in collaboration and competition among providers. !is ultimately
led to improved outcomes.
4. Fourth, BIDCO began to look at data in di#erent ways that factored in the role that
social determinants of health can play in predicting someone’s utilization of services.
5. Finally, BIDCO created an incentive model to motivate physicians to increase individual and system level performance. (Hulbert, 2017)
BIDCO is currently aligned with more than 30,000 Medicare bene”ciaries.
!e organization was able to achieve signi”cant cost savings and perform well on
quality indicators as a Pioneer ACO. After its “rst year of participation as a “Next
Generation” ACO, BIDCO again demonstrated cost savings and produced highquality outcomes (CMS, 2018).
Community-Based Solutions
Social needs of individuals play an important role in contributing to health.
These needs include issues such as housing conditions, access to healthy food,
crime in the community, and poverty. In the current health care environment,
the emphasis on population health and prevention has facilitated the interests of provider organizations in addressing social issues to keep community
members healthy and out of hospitals. Keeping patients healthy is not only
the right thing to do, it is also financially beneficial under new payment methodologies that incentivize health. Although the linkage between social factors
and health has long been recognized, more collaboration between community
resources and provider organizations to provide social services has emerged
in recent years.
One example of such a collaborative is the
Staten Island Performing Provider
System (PPS)
. In 2015, Staten Island University Hospital and Richmond Hill Hospital received funding through the state of New York to form the Staten Island PPS.
!e PPS engaged community-based organizations that provide social services for
citizens such as homeless shelters, food banks, community health centers, and
physicians serving large numbers of uninsured and Medicaid patients. !e provider organizations and social services organizations are working collaboratively
on a variety of projects aimed at improving the health status of the community
and reducing avoidable hospital admissions. Projects include e#orts to better
coordinate care and social services for people with serious conditions, improve
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Chapter 2. Organization of Care 43
health literacy, and implement substance abuse initiatives for at-risk youth
(Sparer, Muennig, & Brown, 2016). Although the PPS is still in its early stages,
this type of collaboration shows promise in improving the health of communities.
Provider organizations are also developing community-based programs
aimed at reducing avoidable hospital readmissions. According to CMS, almost
one of every !ve Medicare patients is likely to be readmitted to the hospital
within 30 days of discharge. “ese readmissions may occur because of inadequate care management resulting from a bumpy transition in care from one
setting to another. Unnecessary readmissions are extremely costly to the Medicare system, and acute care hospitals face !nancial penalties if their readmission
rates are too high. Most importantly, inappropriate readmissions are bad for
patient care. In an e#ort to better coordinate transitions of care, health care providers have found success in reducing readmission rates by seeking communitybased solutions.
“e
Care Transition Choices (CTC) program presented by the Partners in
Care Foundation is one example of a successful community-based program
aimed at improving transitions of care for high-risk patients. “e
CTC started
as a pilot program established through CMS under the Community Care Transition Program. “e program has been so successful that private health plans
and physician groups have adopted the program and kept it in operation. “e
CTC program works by assigning care transition coaches to work with high-risk
patients on cultivating health self-management skills, review appropriate medication use, and recognize warning signs of a worsening condition. Coaches visit
patients in the hospital and in their homes. In addition to clinical monitoring,
coaches link patients with community resources, including meal delivery and
wheelchair-accessible transportation. “e program has been successful in signi!cantly reducing hospital readmissions among Medicare patients and reducing
costs (Partners in Care Foundation, 2018).
Clinical Integration
Physician–Hospital Alignment
“e alignment of physician and hospital
goals and incentives is a critical success
factor in the era of health reform. Traditionally, both types of provider have been
reimbursed based on volume or productivity. However, reimbursement mechanisms
are becoming more focused on quality and
e$ciency. Identifying ways to align the incentives of physicians and hospitals is
vitally important to maximize the clinical quality of care while minimizing costs.
Di#erent economic levels and approaches to physician–hospital alignment
involve a variety of organizational arrangements. Loosely aligned physicianhospital arrangements involve a traditional independent practice model, in which
Identifying ways to align the
incentives of physicians and
hospitals is vitally important to
maximize the clinical quality of
care while minimizing costs.
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44 Part I. Health Policy
physicians are still “volunteer” members of a hospital’s medical sta! and alignment is sought through contractual arrangements to secure medical directors and
physician administrators. In this traditional alignment model, economic integration is not achieved. Closer alignment might be achieved through more strategic
approaches, such as joint ventures or co-management agreements between physicians and hospitals with some level of shared economic interests. “e ultimate
level of physician–hospital alignment is achieved through employment relationships with full economic integration. With this level of alignment, physicians are
truly employees and are required to comply with hospital policies and share goals
(Sowers, Newman, & Langdon, 2013).
A well-regarded example of an integrated health system is Scripps Health
(www.scripps.org), which includes acute care hospitals, outpatient centers, and
home health and hospice services in the San Diego, California, area. Scripps
employs more than 15,000 workers, and approximately 3,000 a#liated physicians
provide care at Scripps facilities. Scripps Health is a success story in the area of
physician–hospital alignment. In 1999, Scripps was losing millions of dollars a
year and physician and employee con$dence was at an all-time low. A new CEO
created an organizational turnaround by aligning physician and hospital interests
more closely through a co-management approach. Although California law makes
direct physician employment di#cult, closer alignment was achieved through an
integrated foundation model that emphasizes transparency and open communication between physician and administrative leadership. “e CEO was able to
regain physician trust and leverage close alignment with physicians to achieve
$nancial and quality improvements. Since the turnaround, Scripps Health has
been well positioned for growth, and the system has received numerous awards
and accolades, including becoming one of
Fortune magazine’s “100 Best Companies to Work For” (Scripps Health San Diego, n.d.). In 2017, Scripps announced
the implementation of a new dyad leadership model that pairs hospital administrators with physician leaders to further align mutual interests.
Physician Employment Models
More complex reimbursement systems are emerging from health reform and the
quality movement. Physician payment is moving from a primarily fee-for-service or
volume-based methodology to a model more dependent on quality and clinical outcomes. As a result of this shift, many physicians are no longer interested in private
practice models. Instead, they are seeking a#liation and employment opportunities
with health systems and hospitals. Physician employment models free up clinician
time so they can focus on providing patient care rather than the business of running
a practice. Employment can be advantageous for hospitals and health systems by
increasing their level of alignment with physician providers. Physician employment
models often tie compensation to quality and productivity metrics.
“e Mayo Clinic (www.mayoclinic.org) is one successful model of physician
employment. Physicians work together with other clinic sta! to care for patients,
and their work is centered on the philosophy that “the needs of the patient come
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Chapter 2. Organization of Care 45
!rst” (Mayo Clinic, n.d.). “e culture of Mayo is unique, rooted in the values of its
founders: teamwork, collegiality, professionalism, mutual respect, and commitment to progress for the organization and individuals. Care is provided by integrated teams of physicians, health care professionals, and scientists. “e Mayo
culture emphasizes team success over individual success. Although physician
employees are provided with a vast array of resources and support, they are compensated with a salary. “is salary structure eliminates any incentives to perform
tests or procedures for !nancial gain. Treatment is purely focused on what is best
for the patient (Mayo Clinic, n.d.).
BEST PRACTICES
Innovative Approaches to Improving Care Delivery
So far in this chapter, we have described several organizations that use innovative
approaches to deliver high-quality health care. Health care delivery organizations
must continue to innovate if they hope to deliver high-quality care while controlling costs. “is section highlights two organizations that have strong reputations
as long-term innovators.
Intermountain Healthcare—Salt Lake City, Utah
Intermountain Healthcare (www.intermountainhealthcare.org) fosters a culture
of innovation. Intermountain is a nonpro!t health care system comprising 22
hospitals, more than 185 physician clinics, and an a#liated insurance company.
“e system has more than 33,000 employees who serve patients in Utah and
southeastern Idaho. “e mission of Intermountain Healthcare is “helping people
live the healthiest lives possible” (Intermountain Healthcare, n.d.). In addition to
pursuing the typical health care delivery activities of an integrated health system,
Intermountain has several programs that nurture a learning environment and
culture of innovation.
Intermountain has several initiatives centered around using technology and
innovation to provide high-quality care at a sustainable cost. Intermountain
Innovations is an e$ort to develop new revenue streams by commercializing
proven clinical and technological innovations. “e Intermountain Simulation
Center capitalizes on technology to provide training for clinicians and employees
that will help promote safety and reduce medical errors among its health team.
Intermountain hosts the Homer Warner Center, a research facility dedicated to
the discovery and implementation of technology through medical informatics.
Of particular prominence is the Intermountain Transformation Lab. “e purpose of this lab is to bring innovation and technology to the patient’s bedside at a
rapid pace. In addition to working with external technology partners, Intermountain’s Healthcare Transformation Lab also provides opportunities for Intermountain employees to develop ideas into new technology. “e lab provides a place for
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46 Part I. Health Policy
clinicians to work with technology experts in developing innovative ideas that
will improve the delivery of health care. Examples of projects targeted by the lab
include designing the patient room of the future, creating a hand-washing sensor
for providers, 3D printing of medical devices for clinical purposes, and creating a
“Life Detector” to notify caregivers of changes in vital signs of patients.
Intermountain hopes to a!ect change in the delivery of health care through
providing educational opportunities and conducting research throughout the
system. Its culture of innovation capitalizes on the knowledge of caregivers and
employees to improve quality and reduce costs (Intermountain Healthcare, n.d.).
The Cleveland Clinic—Cleveland, Ohio
“e Cleveland Clinic (www.clevelandclinic.org) is a multispecialty academic
medical center with a focus on clinical care and research. It houses more than
1,400 hospital beds at its main campus and works with more than 3,000 physicians and scientists. “e Cleveland Clinic’s mission is “to provide better care of
the sick, investigation into their problems, and further education of those who
serve” (Cleveland Clinic, 2018). Quality and innovation are among its core values,
and the clinic is consistently named in
U.S. News and World Report’s “America’s
Best Hospitals” survey.
Cleveland Clinic is innovating care delivery by negotiating directly with selfinsured employers as part of its Program for Advanced Medical Care (PAMC).
“e idea behind PAMC programs is to allow employers to provide their employees with access to world-class health care at a reasonable price. Bundled payment programs and transparency in quality outcomes make the Cleveland Clinic
a natural choice for large employers interested in securing greater value in their
health care purchases. PAMC’s #rst agreement of this kind began with Lowe’s
Companies in 2010 to provide heart care for its more than 200,000 employees.
“e clinic recently expanded its cardiac program by contracting with Walmart
and is now focusing on marketing packages of orthopedic procedures to large
employers. Promoting this form of “domestic medical tourism” may change the
way care is delivered, or at least promote transparency among health care providers in terms of quality and pricing (Cleveland Clinic, 2018).
CONCLUSION
“e U.S. health care delivery system can look forward to many changes on the
horizon. Uncertainty surrounding the ACA continues to push providers to continually improve quality and manage costs. Innovative new forms of delivering
health care will continue to emerge to meet the demands of both patients and
purchasers of health care. Health care delivery organizations that fail to evolve
and learn will face a di$cult road. “ose organizations that focus on innovation
and knowledge creation will be well positioned for the future.
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Chapter 2. Organization of Care 47
CASE EXERCISE—INNOVATIVE IDEAS
You have just been promoted to work as the assistant to the CEO of a large, partially integrated
health care delivery system. Your first assignment is to identify several innovative ways to
improve health system quality, control costs, and maximize access to care for citizens in your
community. Opportunities exist to improve physician-hospital alignment and to provide more
integrated care across health system entities. Draft a memo to your CEO that answers the
following questions:
1. What are five innovative ideas your health system could implement to meet improvement
goals around cost, quality, and access?
2. What innovation or innovative idea is the most critical to ensure the health system
achieves its goals?
3. What innovation will be the most difficult to achieve? Why?
4. Why will the implementation of these innovative ideas improve health system
performance?
t
DISCUSSION QUESTIONS
1. !e U.S. health system is shifting its focus to wellness and prevention. Give an example of the three forms of prevention. How should emphasis on prevention alter the
delivery of health services in a particular community?
2. The baby boomer generation, which represents a significant portion of the U.S.
population, is reaching an age when its utilization of health services will most
likely increase. Additionally, life expectancy continues to improve with advancements in medicine and community health. Discuss how this aging of such a large
segment of the population will affect specific health care delivery services and
organizations.
3. Most health care in the United States is delivered in traditional settings such as hospitals, physician organizations, and long-term care organizations. However, access to
new delivery settings is becoming more readily available, and demand for care delivery through telemedicine and retail clinics is increasing. Give an example of an application for telemedicine. Discuss how the utilization of telemedicine might a”ect cost,
quality, and access to care in the U.S. health care system.
4. Although the United States spends more money per capita on health care than any
other country in the world, its performance has much room for improvement. How
can ideas such as the Triple Aim initiative or patient centeredness help to improve
performance in the U.S. health system?
5. Discuss why coordinated care delivery approaches, such as PCMHs or ACOs, might
improve care for patients. Discuss barriers and opportunities for implementation of
such coordinated care delivery approaches.
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48 Part I. Health Policy
REFERENCES
Agency for Healthcare Research and Quality. (2013). Retrieved from https://www.ahrq.gov
Ambulatory Surgical Center Association. (2018). What is an ASC? Retrieved from https://
www.ascassociation.org/AdvancingSurgicalCare/aboutascs/industryoverview
American Hospital Association. (2018). Fast facts on U.S. hospitals, 2018. Retrieved from
https://www.aha.org/statistics/fast-facts-us-hospitals
Centers for Disease Control and Prevention. (2017).
National hospital ambulatory medical
care survey: 2015 emergency department summary tables
. Retrieved from https://www
.cdc.gov/nchs/data/nhamcs/web_tables/2015_ed_web_tables.pdf
Centers for Medicare & Medicaid Services. (2018). Next Generation ACO Model. Retrieved
from https://innovation.cms.gov/initiatives/Next-Generation-ACO-Model
Cleveland Clinic. (2018). Facts & !gures. Retrieved from http://my.clevelandclinic.org/
about-cleveland-clinic/overview/who-we-are/facts-!gures.aspx
Enthoven, A. C. (2016). What is an integrated health care !nancing and delivery system
(IDS)? and what must would-be IDS accomplish to become competitive with them?
Health Economics & Outcome Research, 2(2), 1–9. doi:10.4172/2471-268X.1000115
Gerteis, M., Edgman-Levitan, S., & Daley, J. (1993).
!rough the patient’s eyes: Understanding and promoting patient-centered care. San Francisco, CA: Jossey-Bass.
Hirshon, J. M., Risko, N., Calvello, E. J. B., de Ramirez, S. S., Narayan, M., “eodosis, C.,
& O’Neill, J. (2013). Health systems and services: “e role of acute care.
Bulletin of the
World Health Organization, 91
, 386–388. doi:10.2471/BLT.12.112664
Hulbert, J. (2017, October 30). Five ACO success tips from Beth Israel Deaconess Care
Organization CEO.
Managed Healthcare Executive. Retrieved from http://www.managedhealthcareexecutive.com/hospitals-providers/!ve-aco-success-tips-beth-israeldeaconess-care-organization-ceo
Hwang, W., Chang, J., LaClair, M., & Paz, H. (2013). E#ects of integrated delivery systems on
cost and quality.
American Journal of Managed Care, 19(5), e175–e184. Retrieved from
https://www.ajmc.com/journals/issue/2013/2013-1-vol19-n5/effects-of-integrateddelivery-system-on-cost-and-quality
Institute for Healthcare Improvement. (2015).
Signature Healthcare: A Triple Aim improvement story. Cambridge, MA: Author. Retrieved from http://www.ihi.org/resources/
Pages/Publications/SignatureHealthcareTripleAim.aspx
Institute for Healthcare Improvement. (2018).
!e IHI triple aim initiative. Retrieved from
http://www.ihi.org/Engage/Initiatives/TripleAim/Pages/default.aspx
Institute of Medicine. (2001).
Crossing the quality chasm: A new health system for the 21st
century
. Washington, DC: National Academies Press.
Institute of Medicine. (2003).
!e future of the public’s health in the 21st century. Washington,
DC: National Academies Press.
Institute of Medicine. (2012).
An integrated framework for assessing the value of communitybased prevention. Washington, DC: National Academies Press.
Intermountain Healthcare. (n.d.). Transforming healthcare. Retrieved from https://intermountainhealthcare.org/about/transforming-healthcare
Kaiser Family Foundation. (2018). Medicare delivery system reform: “e evidencellink:
8 FAQs: Medicare ACO models. Retrieved from https://www.k#.org/faqs-medicare
-accountable-care-organization-aco-models
Kane, C. K. (2017).
Policy research perspectives: Updated data on physician practice arrangements: Physician ownership drops below 50 percent. Chicago, IL: American Medical
Association. Retrieved from https://www.ama-assn.org/sites/default/files/media
-browser/public/health-policy/PRP-2016-physician-benchmark-survey.pdf
Kindig, D., & Stoddart, G. (2003). What is population health?
American Journal of Public
Health
, 93(3), 380–383. doi:10.2105/AJPH.93.3.380
EBSCOhost – printed on 3/8/2021 11:34 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 2. Organization of Care 49
Mayo Clinic. (n.d.). Culture. Retrieved from https://jobs.mayoclinic.org/culture
National Association of Community Health Centers. (n.d.). About our health centers.
Retrieved from http://www.nachc.org/about-our-health-centers
National Committee for Quality Assurance. (2018).
NCQA PCMH recognition: concepts
(PCMH) 2017
. Washington, DC: Author. Retrieved from https://www.ncqa.org/
programs/health-care-providers-practices/patient-centered-medical-home-pcmh/
pcmh-concepts/
National Hospice and Palliative Care Organization. (2018). Retrieved from http://www.
nhcpco.org
Optum. (2014).
!e four steps of population health management. Retrieved from https://
cdn-aem.optum.com/content/dam/optum3/optum/en/resources/white-papers/Four_
steps_population_health_management.pdf
Partners in Care Foundation. (2018). Avoid re-hospitalization of high-risk patients and cut
costs with Care Transition Choices. Retrieved from https://www.picf.org/community
-care-transition-program-cctp
Rand Health. (2016).
!e evolving role of retail clinics. Retrieved from https://www.rand.org/
pubs/research_briefs/RB9491-2.html
Reid, R. (2015).
Transforming primary care: Evaluating the spread of group health’s medical
home
. Retrieved from https://www.ahrq.gov/sites/default/!les/wysiwyg/professionals/
systems/primary-care/tpc/tpc-pro!le-reid.pdf
Reid, R., Coleman, K., Johnson, E., Fishman, P., Hsu, C., Soman, M.,… Larson, E. (2010). “e
group health medical home at year two: Cost savings, higher patient satisfaction, and
less burnout for providers.
Health A”airs, 29(5), 835–843. doi:10.1377/hltha#.2010.0158
Scripps Health San Diego. (n.d.). About us: Chris Van Gorder. Retrieved from http://
www.scripps.org/about-us__executive-team__chris-van-gorder
Social Security Act, 42 U.S.C. § 1867(e)(1)(A).
Sowers, K., Newman, P., & Langdon, J. (2013). Evolution of physician-hospital alignment
models: A case study of comanagement.
Clinical Orthopaedics and Related Research,
471(6), 1818–1823. doi:[10.1007/s11999-013-2911-0]
Sparer, M., Muennig, P., & Brown L. (2016). (Re)
de#ning the healthcare delivery system:
!e role of social services
. Newark, DE: KPMG Government Institute. Retrieved from
https://assets.kpmg.com/content/dam/kpmg/pdf/2016/07/9-salud-re-defining-thehealthcare-delivery-system-the-role-of-social-services.pdf
World Health Organization. (2015). Health systems strengthening glossary. Retrieved from
http://www.who.int/healthsystems/hss_glossary/en/index5.html
World Health Organization. (2017). Constitution of WHO: Principles. Retrieved from
http://www.who.int/about/mission/en
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3
The Politics of Health Care
in the United States
Rogan Kersh and James Morone
LEARNING OBJECTIVES
Understand the health care infrastructure
Explain the effect of spending on the health care infrastructure
Describe the politics of Medicare and Medicaid
Discuss the impact of politics on the health care delivery system
Explore how personal health decisions become public
KEY TERMS
access
administrative efficiency
innovation
patient outcomes
policy issue
TOPICAL OUTLINE
Costs for health care infrastructure
Many dollars are spent on health care but to what effect?
The politics of Medicare and Medicaid
The role of politics in equitable health care services
Personal health decisions become public: obesity
© Springer Publishing Company DOI: 10.1891/9780826172730.0003
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

52 Part I. Health Policy
INTRODUCTION
It is the best of health care systems; it is the worst of health care systems—at least
among rich nations. Health care in the United States is a point of cultural pride (“!nest in the world!”). It is the nation’s largest economic sector, at $3.5 trillion in annual costs and
approaching 20% of U.S. GDP (gross domestic
product). It is a moral issue, given low-income
Americans’ terrible health care outcomes,
dragging the national average below other rich
countries on most measures of population health,
including maternal mortality and life expectancy
at birth. It is a
policy issue because every one of these dimensions (quality, costs,
injustice) feed into heated congressional, White House, and state/local legislative
discussions. And health care is, of course, a deeply personal matter: It is about the
human condition, about wellness and su”ering, sickness and death.
#e modern American health care system was forged by political choices.
#e United States experienced furious debates about whether to cover all citizens through a government program (in the 1940s), even as most other wealthy
democracies were organizing such programs. It deployed tax policy to foster a
private, employer-sponsored health insurance coverage industry (1950s). It !lled
the gaps in coverage for some of America’s poor and almost all people over 65
with two programs, Medicare and Medicaid, legislated in 1965 (and now swallowing a quarter of the federal budget and, on average, a !fth of state budgets).
Every presidential administration in the past 80 years—Democratic and Republican, liberal and conservative—has proposed major changes in health policy. Both
the Barack Obama and the Donald Trump administrations zoomed in on health
care in their !rst months. In short, the battle over the shape of American health
care is constant (Blumenthal & Morone, 2008; Henry Kaiser Foundation, 2016).
#is chapter takes up three main dimensions of the U.S. health care system,
emphasizing throughout the central role of politics and policymaking. We
begin with the basics—America’s national health infrastructure and how medical services are !nanced. Next we zero in on health insurance, which inspires
especially heated policy debates (more technical reviews of issues related to
!nancing and health insurance are presented in Chapters 10 and 11). A third
primary theme is health disparities among Americans: Geography, a proxy
for wealth and poverty, is a major determinant of health outcomes (this topic
is covered in more detail in Chapter 8). After describing the political context
for health care, we take up a speci!c issue—obesity—and detail how political
maneuvering shapes health matters that many Americans still consider personal, not a matter of government regulation. As both history and contemporary practice show, many ostensibly private matters in the health domain have
Despite the United States’
enormous spending on health
care—the highest in the
world—patient outcomes lag
behind those of comparable
countries.*
*To hear the podcast, go to https://bcove.video/2zHJ1v7 or access the ebook on Springer Publishing ConnectTM.
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Chapter 3. The Politics of Health Care in the United States 53
been the subject of public regulation—even in the famously individualistic,
anti-government United States.
At the core of health politics and policy
is the question of whether individuals have
a right to health care or whether it should
be treated as any other market good, like
clothes or food or cars. Most wealthy democratic countries view health care as a foundational human right and provide at least a
basic level of health services to all residents;
some, like Canada, aim for a universal right
to equal care (Chapter 4 focuses in more detail on a comparative global health
perspective). Uniquely among advanced democracies, the United States views
health care not as a right but a patchwork: an entitlement for most people over
65, a perquisite of employment in some companies and sectors, and a service to
be purchased either as insurance or at point of service for millions of others. !e
United States is among a handful of countries not to have rati”ed a UN treaty
declaring health care a fundamental human right (UN o#cial text, 2018).
Our idiosyncratic health system has always been shaped by political
debates—drawing in policymakers as well as large employers, private insurance companies, and professional medical decision makers. !is chapter
examines whether the result of all that politicking is better health outcomes
for most Americans. Our main aim in this chapter is to clarify the roles of policymaking and politics in the U.S. health system. Our discussions of “nancing,
insurance, and obesity as a behavioral health issue and comparative health care
are meant to complement other chapters in the book and to provide context
for the exploration of the dynamics of politics and policymaking in the world
of the U.S. health system. Our aim is to communicate how politics and policy
impact the health system and how political scientists approach the topic of
health care.
HEALTH CARE INFRASTRUCTURE AND SPENDING:
MANY DOLLARS, TO WHAT EFFECT?
!e U.S. system of delivering and “nancing health care is the most complicated
among advanced countries. Some nations, like Great Britain, manage health care
through the government; others, like Switzerland, rely on the private market
(with government subsidizing care for the least well-o$). Still others—Singapore,
for example—mix government-run care for low-income residents with a private
system (Gusmano & Rodwin, this volume). !e United States includes elements
of all three. Complicating matters further, treating patients and paying for those
treatments are managed by di$erent collections of institutions. !e one-word
summary: fragmentation.
At the core of health politics and
policy is the question of whether
individuals have a right to health
care or whether it should be
treated as any other market
good, like clothes or food or cars.
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54 Part I. Health Policy
Providing Health Care
Let’s start with government-provided care. American military veterans receive
health care from more than 1,200 hospitals and clinics managed by the Veterans
Health Administration (VHA). More than 305,000 VHA health professionals and
support sta! tend to some 9 million veterans each year, making this the largest
health system in the United States. Veterans’ complaints in recent years about
long waits for care and elaborate eligibility rules have resulted in diminished
approval ratings for the VHA, even as it spends nearly $200 billion annually (VA
Health Care, 2017). Along with this federal management of veterans’ care, state
and local governments also run public clinics and hospitals, which help serve
those who can’t otherwise a!ord care. Moreover, members of the armed forces
and their families receive care through services organized by each branch of the
federal military. Overall, about a quarter of U.S. health care delivery is through
these various government-run entities.
“e remaining three-quarters of hospitals and clinics are run by private companies, which are deeply enmeshed in the U.S. health care system. Of those clinics
and hospitals that are private, about 70% are nonpro#t—managed by universities,
religious institutions, charities, or nonpro#t networks. “e remainder are forpro#t, often organized into large systems: the Hospital Corporation of America,
for example, based in Nashville, Tennessee, manages more than 175 hospitals in
the United States and the United Kingdom, with annual revenues of more than
$3 billion.
What about prescription drugs and other pharmaceuticals? “e U.S. drug
industry is almost entirely private—an economic behemoth with global reach,
approaching $500 billion in annual sales. By comparison, in most other advanced
democratic countries, the government purchases and distributes prescription
drugs.
What di!erence does it make that so
much of the U.S. health infrastructure is outside government supervision? A lot: In most
advanced countries, a central government
body (like the United Kingdom’s National
Health Service, or China’s Ministry of Public
Health) provides strategic planning; determines where additional doctors, nurses,
and other health professionals are needed
(and whether there are su$cient hospitals
and clinics to house them); and pays most
of the cost of care. In the United States, privately managed care facilities are free to open or close where and when they wish.
America has no national health planning; individual states and large cities monitor their health systems, regulate providers, and collect reams of health data—but
do not wield direct in%uence on the provision of care. “e result is a hodgepodge
The U.S. drug industry is almost
entirely private—an economic
behemoth with global reach,
approaching $500 billion in
annual sales. By comparison, in
most other advanced democratic
countries, the government
purchases and distributes
prescription drugs.
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Chapter 3. The Politics of Health Care in the United States 55
of some often-superb facilities, especially in higher-income neighborhoods, and
many places (especially inner cities and rural areas) devoid of !rst-rate medical
institutions or professionals.
Although the U.S. system lags behind
almost every wealthy nation in health outcomes—more on that later—America does
lead the world in health
innovation: developing new treatments, medical instruments, and drugs for the bewildering array
of diseases and health conditions that beset
us. More than 60% of health research and
development (R&D) funding is carried
out by private industry; another quarter is
funded by the government, often as grants
to university researchers, many of whom
work closely with private companies to license their discoveries for sale. Nearly
150 U.S. universities also manage large health care systems, organized around
teaching hospitals where the next generation of medical professionals are trained.
In sum, if you get sick in the United States, are not in the military or a military veteran, and need to see a doctor, chances are high that she will be privately
employed—though likely in a nonpro!t hospital or clinic. If you are under 65,
unemployed, and uninsured, you may seek care at an emergency room or a low/
no-cost public clinic. Should you receive a prescription, you’ll probably go to a
private pharmacy like CVS or Walgreens and buy (with help from insurance,
which we talk about below) drugs or other palliative services. “ose pharmaceuticals (or insulin treatments, special bandages, etc.) were likely produced by
private companies, though the R&D may well have involved government-funded
research in university or public laboratories at places like the Centers for Disease
Control and Prevention (CDC), a government agency.
Perplexed yet? Health care provision in the United States is a tangled mixture of national, state, and local government; private companies, both forpro!t and nonpro!t; universities and nonpro!t health-advocacy organizations;
and medical professionals spread across all these groups. “is multi-layered
complexity—sitting atop an equally complicated !nancing arrangement, discussed in detail in the following—is part of the reason that Americans far outstrip the rest of the world in health care spending. Let’s take a look at where that
annual $3.5 trillion goes.
Health Care Spending
Figure 3.1 provides a summary of how American health care dollars are spent.
Note that this arrangement—nearly a third of total funds spent on hospital care, for example—is not ordained by law or medical best practices but
Although the U.S. system lags
behind almost every wealthy
nation in health outcomes,
America does lead the world in
health innovation: developing
new treatments, medical
instruments, and drugs for the
bewildering array of diseases and
health conditions that beset us.
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56 Part I. Health Policy
re!ects a mix of tradition, strategic decisions, investor choices, and political
compromises. Many other countries spend a higher percentage of their health
dollars on government administration (1.2% in the United States) because their
systems are subject to central control. Most others also spend a far lower proportion of their health dollars on prescription drugs (approaching 11% in the
United States)—mainly because their national government purchases drugs in
bulk quantities and manages their distribution. As we will see below, U.S. political debates on funding prescription drugs tend to rule out such centralized government purchases.
“e United States is also distinctive in terms of
how much it spends on health
care: by a considerable margin, the world’s most per capita. Figure 3.2 lists the top
health-spending countries per person.
With the United States considerably ahead of other wealthy nations—
spending twice as much as the average peer country—questions arise about
what lies ahead. “Bending the health cost curve” downward has been a
priority for health policymakers for decades; President Richard Nixon
warned darkly that “we face … a breakdown in our medical system,” caused
by rising costs, back in 1969 (Nixon, 1969). Fifty years later, costs continue
to rise.
32.7
15.5
5 4.2
3.1
14.6
10.4
6.4
2.3
4.7
1.2
Hospital Care Physician Services Clinical Services Long-Term Care
Home Care Other Personal Care Prescription Drugs Net Insurance Cost
Government
Public Health
Investment Government
Administration
Source: Data from the Department of Health and Human Services (DHHS) and !e Centers for Medicare
& Medicaid Services (CMS).
FIGURE 3.1 DISTRIBUTION OF U.S. HEALTH CARE SPENDING: 2018
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Chapter 3. The Politics of Health Care in the United States 57
Bending the Cost Curve? Health Spending
in Coming Years
Given the convoluted U.S. infrastructure, the
job of providing high-quality health services
is demanding—and becomes more di!cult
as costs soar. After a drop in annual increases
after the A”ordable Care Act (ACA)’s passage, costs have begun again to rise steadily,
with prescription drug increases leading the
way. Other drivers of the current boost in U.S. health expenses include higher
costs for out-of-pocket care, rising Medicare expenses as a swelling number of
baby boomers age into the program, and ACA premium hikes—the latter a consquence of executive branch regulatory actions designed to weaken the ACA.
In a sentence, why do Americans pay so much for health care? Because U.S.
providers charge more for the same service. Without a single regulator negotiating prices, costs are simply passed along (Cuckler et al., 2018). To understand the
United States $10,348
Switzerland $7,919
Germany $5,550
Netherlands $5,385
Austria $5,227
Comparable
Country Average
$5,169
Belgium $4,839
Canada $4,752
Australia $4,708
France $4,600
Japan $4,519
United Kingdom $4,192
Source: Data from Peterson-Kaiser Health System Tracker.
FIGURE 3.2 TOTAL HEALTH EXPENDITURES PER CAPITA (U.S. DOLLARS): 2016–2017
Given the convoluted U.S.
infrastructure, the job of providing
high-quality health services is
demanding—and becomes more
dif!cult as costs soar.
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58 Part I. Health Policy
complexities of rising health costs, and the central role of political decisions, let
us look more closely at prescription drugs.
Pharmaceutical companies raised prices well beyond in!ation with the advent
of the Trump administration: After growing by around 2% annually, drug costs
leapt upward by 4.4% during 2017–2018. As a study by Pharmacy Bene”t Consultants (PBC) shows, 40 prescription drugs had price increases of more than
100% across the 15 months since January 2017; more than 225 drugs cost at least
a third more (Pharmacy Bene”t Consultants’ comparison, 2018). Current projections are for annual drug cost increases of some 6.5% over the next decade.
Pharmaceutical company representatives argue that higher costs are driven by
increased use of specialty drugs to treat cancer and genetic disorders, but those
skyrocketing fastest on PBC’s list include drugs for bee stings, bedwetting, and
prescription skin cream.
U.S. drug costs are more than twice as
high as the average for other industrialized
countries, a gap larger than that for nearly all
other consumer goods. Public policy decisions are a major reason. In contrast to most
other countries, the American government
guarantees extended monopolies to drug
companies, with generic alternatives that would dramatically reduce prices often
held up for years by litigation. Exacerbating this political decision, Medicare’s
initial passage included a compromise, since rea#rmed many times by Congress,
that the Centers for Medicare & Medicaid Services (CMS) cannot use its immense
bulk-purchasing power to negotiate lower prices with drug manufacturers. CMS
payment plans are also required by Congress to cover nearly
all drugs, rather
than concentrating on the most frequently prescribed (and/or cheaper) medications (Kesselheim, Avorn, & Sarpatwari, 2016). Companies routinely claim that
the high costs of research and development, along with long delays in Food and
Drug Administration (FDA) approval of new drugs, keep their costs high. But academic analyses “nd at best mixed evidence of association between R&D expenses
and drug prices (Jaroslawski, Auquier, & Toumi, 2017; Kesselheim, Avorn, & Sarpatwari, 2016), and the FDA’s swifter drug approval processes in recent years has
not resulted in a commensurate price reduction for new pharmaceuticals.
A “nal reason for unusually high prescription drug prices is the fragmentation of the industry. Drug companies utilize distributors for their products, who
add a hefty premium to the price of every drug. How much do they add? Drug
companies are not permitted to list their prices before the distributor markup. It
is a fragmented system is rife with opportunities for “investment.” Budget-minded
policymakers, restricted at every turn from addressing these well-protected political decisions, can agree only that innovative policy moves are an essential part
of the solution to sharply rising prescription drug prices (Alexander et al., 2017;
Frank & Zeckhauser, 2018).
For a blend of reasons, then—manifestly including politics—U.S. health
spending is the world’s highest. What do we get for all those dollars expended?
U.S. drug costs are more than
twice as high as the average for
other industrialized countries, a
gap larger than that for nearly all
other consumer goods.
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Chapter 3. The Politics of Health Care in the United States 59
Across the !rst two-thirds of the 20th century, America was among world leaders
in terms of health outcomes, ranking near the top in areas like infant mortality
and life expectancy. In recent decades, almost every wealthy nation has surpassed
the United States on primary measures of mortality and morbidity. As we will
explore, these are
average measures; they mask enormous di”erences between
rich and poor.
Patient Outcomes and Beyond: Evaluating American Health Care
Assessing health care systems is a complex science (Gusmano & Rodwin, this
volume). A hospital that rates highly on curing patients may actually turn away
the sickest cases. Nuanced assessment measures are therefore required. Along
with
patient outcomes, analysts now evaluate health care systems in four additional areas: access (is health care availability timely and a”ordable?), care process (including such vital aspects as patient safety, preventive care, coordinating
care across di”erent health providers, and health professionals’ engagement with
patients),
administrative efficiency (measuring whether the immense bureaucracy required to operate health systems work smoothly and swiftly), and equity
(do all who seek care receive similar treatment?). Chapter 12 reviews the topic of
quality improvement in more detail.
Since health care systems exist to enhance people’s health and well-being,
patient outcomes top the list of evaluative criteria. Here the United States performs poorly, compared to peer nations. On an Institute of Medicine comprehensive study of 17 high-income countries, Americans scored at or near the worst on
nearly all of nine measures, including frequency of homicides, incidence of heart
and lung disease, infant mortality, obesity, disability rates, frequency of car accidents, and sexually transmitted infections among teens (Woolf & Aron, 2013).
Together, these features drive down life expectancy. According to latest Organisation for Economic Co-operation and Development (OECD) estimates, Americans born in recent years can expect to live to age 78.8 on average—a full 5.1 years
less than in Japan, and not in the world’s top 30 countries—ranking below Chile,
Slovenia, and Cuba (Kochanek, Murphy, Xu, & Arias, 2017; OECD, 2017).
On the other above-listed dimensions, from system e#ciency through
equity, the United States is also a relatively low performer. Figure 3.3 summarizes an analysis of all !ve evaluative dimensions by the Commonwealth Fund,
a global health policy research organization (Schneider et al., 2017). As you
can see, the United States scores highest—!fth overall—on care process, thanks
to preventive measures like mammography screening and provider–patient
engagement, ranging from wellness counseling on healthy behaviors to end-oflife discussions with health providers. Otherwise, American health systems perform poorly. $e United States ranks next to last in administrative e#ciency and
!nishes at the bottom in the other three areas. Add up the results and America
!nishes last overall among wealthier countries.
$e American combination of high health spending per capita—31% higher
than Switzerland, the second most expensive—and lagging patient outcomes is
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60 Part I. Health Policy
a source of concern for U.S. health providers and policymakers alike (Papanicolas, Woskie, & Jha, 2018). Figure 3.4 combines these two comparative features—
higher costs and poorer results—in a compelling juxtaposition. Among the world’s
25 largest economies, the United States outstrips all others on expense (farthest
right, along
x axis) and lags most on life expectancy (farthest down on y axis).
Part of the reason U.S. health care is so expensive—and partly why outcomes
are poor compared to other advanced countries—involves how it is !nanced.
When it comes to who
pays for insurance and delivering health care services, here
again complexity rules. And also again, political debates and deals are central to
America’s convoluted architecture of health !nancing.
WHO PAYS? THE POLITICS OF MEDICARE, MEDICAID,
AND MUCH MORE
Some 18% of the U.S. GDP (all goods and services a nation produces) is devoted
to health services, a percentage that continues to rise—and that is higher than
peer nations, which typically spend around 10% of GDP on health care. Financing those huge health costs involves a jumbled mixture of national, state, and
local government; private insurance companies; individual payers; and private
charities. Figure 3.5 illustrates the mix of payment sources for U.S. health care.
Look carefully at the !gure and you’re probably in for a surprise. “e largest source of health insurance in the United States is the government: Medicare
(a federal government program), Medicaid (joint federal and state), and other
Source: Retrieved from Commonwealth Fund.

OVERALL
RANKING
Care Process + Access + Administrative
Efficiency + Equity + Outcomes + Health Care
AUS
CAN
FRA
GER
NETH
NZ
NOR
SWE
UK
US
2 9
10
8 3 4 4 6 6 1
11
2 6 9 8 4 3
10
11
7 1 5
4
10
9 2 1 7 5 6 8 3
11
1 6
11
6 9 2 4 5 8 3
10
7 9
10
6 2 8 5 3 4 1
11
1 9 5 8 6 7 3 2 4
10
11

FIGURE 3.3 EVALUATING HEALTH SYSTEMS: COMPARING 11 WEALTHY COUNTRIES
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Chapter 3. The Politics of Health Care in the United States 61
70
0 $500 $1,000 $2,000 $3,000 $4,000
Health Expenditure
(adjusted for inflation as well as purchasing power parity [PPP] for price differences between countries)
Life Expectancy (Years)
$5,000 $6,000 $7,000 $8,000 $9,000
71
72
73
74
75
76
77
78
79
80
81
82
83
84
USA
Chile
South Korea
Israel
Greece
AustraliaFrance
Luxembourg
Canada
Sweden
Denmark
Belgium
Finland
UK
New Zealand
Ireland
Germany
Norway
Switzerland
AustriaNetherlands
Spain
Japan
Italy
1995
1970
1975
1980
1985
1990
2000
2010
2005
2014
Source: Financing Healthcare by Esteban Ortiz-Ospina and Max Roser. Retrived from !e Economist.
FIGURE 3.4 LIFE EXPECTANCY VS. HEALTH EXPENDITURE: 25 COUNTRIES, 35 YEARS
programs amount to 41% of insurance coverage. Together, these giant entitlement
programs (only Social Security is larger) account for approximately $1.18 trillion
in government spending, a !gure that by 2026 is expected to top $2 trillion. Private plans account for 34% of health care insurance (see Figure 3.5). “e next biggest slice: “out of pocket.” People pay at the
point of service, either to cover cost sharing
(which can run to thousands of dollars) or
because they have no insurance.
Ironically, because they have no negotiating leverage, uninsured individuals face
higher prices than the insurance companies
Ironically, because they have
no negotiating leverage,
uninsured individuals face
higher prices than the insurance
companies pay.
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62 Part I. Health Policy
FIGURE 3.5 PAYMENT SOURCES FOR U.S. HEALTH CARE
Health Insurance,
75%
Government
Public Health
Activities,
2%
Other Third
Party Payers
and
Programs,
1
8%
Investment, 5%
Out of Pocket,2
11%
Private Health
Insurance,
34%
Medicaid
(Title XIX)
Medicaid Federal, 11%
(Title XIX)
State and
Local, 6%
VA, DOD, and CHIP
(Titles XIX and
Title XXI), 4%
Medicare,
20%
1 Includes worksite health care, other private revenues, Indian Health Service, workers’ compensation, general assistance, maternal and child
health, vocational rehabiliation, Substance Abuse and Mental Health Services Administration, school health, and other federal and state local
programs.
2 Includes copayment, deductibles, and any amounts not cover by health insurance.
Source: Retrieved from CMS.
Note: CHIP, Children’s Health Insurance Program; DOD, Department of Defense; VA, Veterans
Administration.
pay. Bill Clinton starkly pointed out the problem of individual payers back in
1993: “our grandchildren will !nd it … unthinkable that there was a time in this
country when hardworking families lost their homes, their savings, their businesses, lost everything, simply because the children got sick” (Clinton, 1993).
Despite years of policy e”orts, Clinton’s lament remains true today. One study,
by the Kaiser Foundation, concluded that roughly a quarter of Americans have
trouble paying medical bills and that the bills have had “a major impact on the
family”—often including bankruptcy (Hamel, Norton, Pollitz, Levitt, Claxton, &
Brodie, 2018).
Along with soaking up a signi!cant majority of spending, health insurance
is essential to enable people to a”ord the spiraling costs of treatment, among
many other bene!ts (Sommers, Gawande, & Baicker, 2017). No American political battleground has been more !ercely contested in recent years than how health
insurance is provided and paid for.
In a majority of the world’s nations, health care is free to residents, with
insurance provided mainly by the national government. Fall ill in any of 160
countries—from Costa Rica to Zambia, Pakistan to Denmark—and you can seek
care secure in the knowledge that government-paid insurance will cover the cost
of your treatment. In a smaller group of countries, the private market is a main
source of insurance. In Switzerland, for example, the government mandates that
everyone have health coverage but does not provide it: Instead, Swiss purchase
individual plans from more than 100 private companies. (Government subsidies
are provided to people in lower income brackets, on a sliding-scale basis.)
#e U.S. system is a patchwork, the result of political compromises on Capitol
Hill, state legislatures, city councils, employers, health care institutions, health
care professionals, the White House, and more. How did we get to this tangled
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Chapter 3. The Politics of Health Care in the United States 63
and fragmented nonsystem? We turn now to a closer look at the peculiar political
history of health insurance in America.
Health Insurance Reform: A Brief Political History
President Harry S. Truman (1945–1953) ran for reelection in 1948 touting
his national health insurance plan; it was his top domestic priority. However,
Congress—dominated by conservative Southern Democrats—buried the issue.
!e powerful chair of the Senate Finance Committee declined even holding
hearings on the proposal. If the United States operated as a parliamentary
democracy, like Germany or Canada, the president would have been able
(indeed, expected) to pass the program he promised in the campaign. National
health insurance fell short—thanks to the American government of checks and
balances (Blumenthal & Morone, 2008).
Republican President Dwight D. Eisenhower (1953–1961) was eager to build
a private insurance alternative to Truman’s plan. His administration made permanent a tax deduction to encourage employers to o”er health insurance to
workers—and the private health insurance system took o”. Note that it was
#nanced by a conscious policy decision: what political economists call a tax
expenditure, one that cost the federal government $253 billion in 2018.
With John F. Kennedy’s win in 1961, Democrats resurrected the Truman plan,
reduced its scope to cover only those over 65, and renamed it Medicare. !eir
hope was that it would prove so popular that the rest of the population would
demand coverage, too. In a legislative coup, planned by President Lyndon Johnson (1963–1969) and the chair of the Ways and Means Committee, Wilbur Mills
(D-AK), Congress passed not just Medicare but two counterproposals introduced
by the Republicans and the American Medical Association. !e #nal legislation
included a federal program that paid hospital and physician costs for people over
65 (Medicare) and a federal state program, administered on the state level, that
paid for some categories of poor people, mainly families with dependent children
(Medicaid). Even with these limits, opponents denounced the Johnson/Mills program as “socialized medicine.” Only 10 House Republicans voted for it, though
most changed to “aye” votes after failing to bury the bill (Berkowitz, 2005; Blumenthal & Morone, 2008).
!ese two programs eventually came to cost a quarter of the entire U.S. federal budget. Periodic expansions of Medicare and Medicaid still left millions of
Americans without insurance, at the mercy of a frayed health care safety net. By
the early 1990s, nearly 20% of Americans under 65 (the cuto” age after which
Medicare provides insurance), or just under 40 million people, had no health
insurance. President Bill Clinton, after signing in 1993 a massive bill designed to
bring the federal budget back into balance, turned to health care reform. A multiplicity of health care changes were blended into one of the most ambitious legislative e”orts since World War II, with extension of insurance at the measure’s heart.
Opponents, again trumpeting the dangers of government-mismanaged health
care, were able to defeat the e”ort, thanks in part to widely watched television
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64 Part I. Health Policy
advertisements starring an innocuous American couple, Harry and Louise, worrying aloud about the devastating e!ects of “letting government choose: We lose.”
“e Clinton administration assisted opponents by taking a year to design
and submit its plan. As Lyndon Johnson well understood, such massive proposed
changes very rarely can navigate the American system of multiple vetoes beyond
a year after a presidential election. A more focused expansion of insurance for
around 660,000 low-income children, known as the Children’s Health Insurance
Program (CHIP), won bipartisan support and passed in the wake of the Clinton
health-reform collapse. Today an expanded CHIP serves nearly 9 million children
annually.
Barack Obama submitted his health insurance expansion within 2 months of
taking o#ce and, after a year of blistering politics in Congress and in congressional town hall meetings dominated by the rising Tea Party, managed to win passage by February 2009. “e legislation $nally squeaked through without a single
Republican vote. In marked contrast to past reforms (Social Security in 1935,
Medicare/Medicaid in 1965), Republicans did not shift their $nal votes to “aye,”
but kept right on resisting (Ho!man, 2003).
To date, “Obamacare” has extended coverage to some 20 million people, around two
$fths of those uninsured before the ACA
was enacted. It involves two major programs. First, it subsidized private insurance
and required people to purchase it. Second,
it put aside the state-by-state Medicaid
patchwork and expanded the program to
cover everyone under 138% of poverty (today, about $32,000 for a family of four).
Notably, the $rst is the kind of program once sponsored by Republicans; the latter
expands a classic big-government program legislated during the Johnson years.
Implacable Republican opposition continued. A Republican-led Congress
staged more than 100 votes between 2011 and 2018 to repeal the law and twice
advanced repeal to the U.S. Supreme Court, where it failed both times by a 5–4
margin. Donald Trump, whose 2016 presidential campaign was built in part
around a promise to eliminate the ACA, dismantled portions of the law through
executive orders and ordered sweeping cutbacks in federal advertisements
during periodic enrollment periods.
One target of Republican ire is the ACA’s individual mandate, which requires
most people to have insurance. In order to $nance care for sick people, healthy
ones must pay into the system—and they, in turn, receive a!ordable health services should they fall ill. To ensure compliance with the mandate, a $nancial
penalty is charged to those who fail to sign up for insurance (which is heavily
subsidized for the poorest Americans). President Trump issued an executive
order in 2017 ending that penalty; months afterward in summer 2018, his Justice
Department issued a ruling that the mandate itself was unconstitutional (Beech
& Lambert, 2018), despite congressional passage and two a#rmative decisions in
To date, “Obamacare” has
extended coverage to some 20
million people, around two !fths
of those uninsured before the
ACA was enacted.
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Chapter 3. The Politics of Health Care in the United States 65
the Supreme Court. In contrast, the Medicaid expansion continues to spread, as
we discuss below.
Peering in 2018 into the murky future, the nonpartisan Congressional Budget
O!ce predicted a return to rising numbers of uninsured people, given continued
peeling away of the mandate and other aspects of the ACA. What may fairly be
viewed as a moral tragedy—that millions of people in the world’s wealthiest country are unable to pay for health services—will continue for the forseeable future.
THE POLITICS OF PROVIDING EQUITABLE HEALTH SERVICES
Fifty-eight countries around the globe, including nearly all U.S. peer countries
(wealthy democracies), provide universal care—every resident is guaranteed access
to the health care system by their government. Of the world’s 201 nations, 160 provide free health care: no cost to the patient.
“is does not mean that people in di#erent
income classes are all treated equally—it is
possible in some of these 160 countries to
buy private insurance, which can ensure
superior care. But a minimum level of professional care is generally guaranteed to all.
“e United States is among the small handful of countries (most of them lower income, like Liberia, Iraq, and Haiti) that
do not provide free care and do not seek to cover all residents. One result is signi$cant health disparities in the United States: “e quality of health coverage and
care varies widely, depending on where you live and how much wealth you have.
Take a look, for example, at Raleigh, North Carolina. Babies born in the 27617
zip code, generally home to wealthier households, have an average life expectancy of
88 years. Mere miles away, in the 27610 zip code on Raleigh’s southeast
side, babies born today have a life expectancy of
76 years: a shocking 12-year gap.
“at’s the di#erence between Japan (number 1 in life expectancy) and Kyrgyzstan
(number 106), or between Germany (ranked 24) and Iraq (121) (World Health
Organization, 2016).
Health outcomes are worse in almost every respect: Residents of the 27610
zip code have higher rates of obesity, diabetes, and asthma and return to hospitals
within a month of discharge far more often than their neighbors in the 27617 zip
code. “ey miss work for illness far more frequently. And a much higher proportion are uninsured, so when poorer residents seek care at a $rst-rate medical
facility like WakeMed Hospital—if available to them at all—it could break their
bank account (VCU Center on Society & Health, 2018). Figure 3.6, produced by
Virginia Commonwealth University’s Center on Health & Society and the Robert
Wood Johnson Foundation, graphically illustrates this Raleigh disparity in life
expectancy.
Fifty-eight countries around
the globe, including nearly all
U.S. peer countries (wealthy
democracies), provide universal
care—every resident is
guaranteed access to the health
care system by their government.
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66 Part I. Health Policy
Similarly disturbing divergences are evident across the country: from California, where two freeway exits separate neighborhoods with 9 years’ di!erence in
life expectancy, to New York City, where six subway stops also separate a 9-year
gap. “is stark illustration demonstrates what public health researchers have long
known: Health disparities are endemic in the United States (Egen, Beatty, Blackley,
Brown, & Wyko!, 2017). Health outcomes across most groupings of Americans
rise steadily as education improves, income grows, housing is safer, access to good
care exists, and public transportation services are readily available. Once again,
all these topics are indelibly colored by political choices—in America’s federalist system, decisions are variously made at the national, state, and local level, not
infrequently with disagreements and tensions across o#ce holders on each level.
Contributing to political complexity around care for America’s less well-o!,
many rural residents of “red states”—those overwhelmingly voting Republican—
both exhibit relatively poor health outcomes and staunchly oppose government
e!orts to improve their health. Versions of the sign “Keep your government
hands o! my Medicare!” regularly appeared at Tea Party rallies in the wake of
the ACA’s passage (Skinner, 2012)—the irony was noted publicly by President
Obama, among many others (CNN, 2009).
N
DURHAM
DUKE
UNIVERSITY
NORTH CAROLINA
CENTRAL UNIVERSITY
540
RALEIGH-DURHAM
INTL AIRPORT
NORTH CAROLINA
STATE UNIVERSITY
2 miles
Life expectancy at birth (years)
Shorter Longer
RALEIGH
82 YRS
ZIP 27713
85
77 YRS
ZIP 27703
88 YRS
ZIP 27617
81 YRS
ZIP 27606
76 YRS
ZIP 27610
40
40
440
540
Source: VCU’s Center on Health & Society and the Robert Wood Johnson Foundation.
FIGURE 3.6 DIFFERING LIFE EXPECTANCIES BY ZIP CODE: RALEIGH-DURHAM,
NORTH CAROLINA
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Chapter 3. The Politics of Health Care in the United States 67
With little national government e!orts at present to address health disparities, some states and cities are taking action themselves. Virginia in June 2018
became the 33rd state (including the District of Columbia) to expand Medicaid
to a wider set of needy residents, a policy passed as part of the ACA but left up to
individual states. Although conservative governors tended to oppose this extension even though more than 90% of funds came from the national government,
the bene”ts continue to spread (Sommers & Epstein, 2017). Figure 3.7 demonstrates, as of June 2018, which states have opted into this Medicaid expansion—
and which have not. All 18 of the latter had Republican governors and/or large
GOP majorities in their state legislature at the time of this writing.
HOW PERSONAL HEALTH DECISIONS BECOME PUBLIC:
THE CASE OF OBESITY
#e preceding discussions demonstrate that policy decisions, emerging from
political “ghts and compromises, are essential to shaping the distinctive U.S.
health care system. Certainly health providers, market forces, and patients are
also vital contributors—but none of these act absent of political context. And
AZ NM
AK
HI
CA
NV
OR
WA
MT
ID
CO
WY
SD
NE
KS
AR
MO
IA
MN
WI
MI
OH
KY
IL IN
TN
LA
MS AL GA
FL
SC
NC
WA VA
PA
NY
ME
NH
NJ
MD
MA
VT
CT
ND
UT
OK
OK
TX
RI
DE
STATES
NOT
CURRENTLY
EXPANDING
MEDICAID
18
Number of states
that have not yet
expanded Medicaid
STATES
EXPANDING
MEDICAID
TO DATE
33*
Number of states,
including the District
of Columbia, that have
expanded Medicaid
Source: Data from A 50-State Look at Medicaid Expansion FamiliesUSA (2007).
FIGURE 3.7 STATES EXPANDING/NOT EXPANDING MEDICAID: JUNE 2018
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68 Part I. Health Policy
that context itself is the subject of a pitched battle among con!icting American
ideals. On one hand, the U.S. policy is often described as among the world’s most
favorable to individual freedom—prizing personal liberty foremost. On the other,
repeatedly across our national history government actors have charged freely into
private arenas, regulating in the name of public health and safety personal matters like Americans’ drinking habits, sexual practices, or tobacco use (Kersh &
Morone, 2002a; Kersh & Morone, 2002b). Understanding this push–pull between
liberty and government regulation in the name of improved public health is at the
heart of health politics in the United States (Chapter 7 focuses on how health and
behavior in!uence health status in further detail).
Alcohol provides one example of private behavior turned subject of public
health regulatory regimes, helping to illustrate present-day trends. Alcoholic
beverages were long more commonly consumed by Americans than water, given
the dangers inherent in untreated water across the United States’ “rst century.
(#e “revolutionary” “rst widespread disinfection regimen for water was not
introduced until 1881 (McGuire, 2006).) When John Chapman, known as Johnny
Appleseed, planted all those apple trees in the 1840s, their fruit was more often
used to make fermented or “hard” cider than for eating (Kerrigan, 2012). Despite
the ubiquity of cider, beer, rum, and wine on American tables, the United States
underwent “ve major rounds of liquor prohibition between the 1820s and 1919.
#e battle culminating in the 18th Amendment—outlawing the production or
sale of any alcoholic beverages—was merely the most ambitious.
Much closer to the present day, coalitions of national and state political
actors have mounted a sustained challenge to the tobacco industry, resulting in
severe restraints on what many smokers consider their personal choice. As with
alcohol, public o$cials—pressed into action by social movements, advocacy
groups, and medical professionals—moved to regulate a topic that had been
seen as purely private behavior. Note also that in areas like regulating alcohol and tobacco, other advanced democratic nations take a more laissez-faire
attitude.
#e politics of obesity follow this familiar arc: Social stigma regarding overweight people tips into outright discrimination, including in the workplace (Watson, Levit, & Lavack, 2018)—and is further fueled by medical conclusions that
obesity poses a serious threat to personal health. Eventually professional interest
groups come together with concerned public health o$cials, and the policy battle
is joined (Kersh & Morone, 2010).
#ough the politics of health care can feature headlong rushes to judgment
(witness government prohibition of alcohol, or Anthony Comstock’s Victorianera e%orts to o$cially ban literature on birth control) (Morone, 2004), the obesity
case has played out more deliberately, owing especially to the food industry and
its political allies’ organized resistance to change.
Public o$cials’ concern about the growing American obesity rate surfaced
around the year 2000 and was met swiftly with a concerted e%ort to emphasize
personal responsibility, not “nanny state” government actors, in response. #e
idea that overweight and obese people had only themselves to blame—“just say
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Chapter 3. The Politics of Health Care in the United States 69
no, and push back from the table,” in the words of a widely reprinted editorial—
tapped a deep individualistic strain in U.S. politics and, especially at the national
level, sti!ed policymaking designed to address nutrition and diet. No signi”cant
policy addressing obesity passed Congress between 2000 and 2010, though dozens of bills were introduced; indeed, the only related measure that won approval
in either chamber was the “Personal Responsibility in Food Consumption Act
of 2005,” which protected the food industry against lawsuits. It passed the U.S.
House but failed in the Senate (Kersh, 2015; Kersh & Elbel, 2015).
National policy debates also play out in state and local arenas, and here more
substantive achievements have been registered. Prominent policies considered
and, in some locations, enacted include taxes on sugar-sweetened beverages and
junk foods (Pomeranz, Wilde, Huang, Micha, & Moza#arian, 2018); calorie labels
on chain and fast-food restaurant menus (Kiszko, Martinez, Abrams, & Elbel,
2014); government encouragement for “reformulation” of popular snack foods
to reduce sugar, salt, and/or fat content (Buttriss, 2013); and regulating the availability and nutritional quality of “competitive foods” served in schools (Datar &
Nicosia, 2017).
National policy action on obesity since 2010 has focused on calorie menu
labeling, passed as part of the ACA. New York, Philadelphia, Washington’s King
County, and the State of California were among jurisdictions that implemented
a calorie-labeling rule. Even with ample precedent, it took nearly 8 years (and
much lobbying on both sides) before the administrative rulemaking process
“nally yielded a formal labeling rule in May 2018. Meanwhile, U.S. obesity rates
have risen inexorably, topping 37% of adults in 2018. $irty years ago, most
U.S. states reported adult obesity rates of 10% or lower, with none higher than
15%. $e health consequences of obesity are well chronicled (Meldrum, Morris, & Gambone, 2017), but—much as with the U.S. health system as a whole—
the American policymaking system, susceptible at every turn to veto points,
interest group in!uence, and deliberately slowed action, has added layers of
complexity rather than opening a path to better health outcomes or reduced
expense.
CONCLUSION: BETTER NATIONAL HEALTH AHEAD?
We invited readers at the opening of this chapter to imagine whether the result
of extensive politicization of U.S. health systems has led to enhanced patient care
or greater e%ciency. Comparisons to other countries, as well as a look toward the
future—as we write, media alarms are being sounded about Medicare’s impending bankruptcy, a few years hence (Edney, 2018)—would suggest that a rosy view
is hard to apply. Much as with American society more generally, absent a strong
movement for meaningful change, the likely road ahead involves a mixture of
dazzling health care innovations, greater disparities in access to care, kneebuckling expenses, and immense investment of time and energy by political as
well as health professionals—with little concrete improvement to show for it.
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70 Part I. Health Policy
CASE EXERCISE—INSURANCE PLANS
As you sit down to choose your insurance plan for the upcoming year, you have to answer
two questions: (a) what is your BMI (body mass index)? and (b) how many cigarettes do you
smoke a day? The second question is easy for you because you are not a smoker and never
have been. But the !rst one—well, you are overweight. You need to decide how to answer the
question. If you answer truthfully, your insurance rates go up. If you lie, your rates stay the
same, but you run the risk of being caught and paying a !ne.
1. How would you decide which choice to make? What factors would you consider?
2. Is it fair and equitable to be charged more for insurance if you are overweight or
a smoker? What about those who drink or are hypochondriacs—shouldn’t they be
grouped, too?
t
DISCUSSION QUESTIONS
1. How is the U.S. health care system !nanced? How is that di”erent from China and
Great Britain?
2. If the government is not paying to support health care, what is it paying for?
3. What is the role of politics in Medicare and Medicaid?
4. How can average citizens use his or her in#uence on politicians to provide equitable
health services?
5. Why are personal health decisions becoming public?
REFERENCES
Alexander, G. C., et al., (2017). Reducing branded prescription drug prices: A review of
policy options.
Pharmacotherapy, 37(11), 1469–1478.
Beech, E. & Lambert, L. (2018). U.S. Justice Department says Obamacare individual mandate
unconstitutional.
Reuters.
Berkowitz, E. (2005). Medicare and Medicaid: !e past as prologue.
Health Care Financing
Review
, 27(2), 11–23.
Blumenthal, D., & Morone, J. (2008).
!e heart of power: Health and politics in the oval o”ce:
1935–2008
. Berkeley, CA: Univ. of California Press.
Buttriss, J. (2013). Food reformulation: !e challenges to the food industry.
Proceedings of
the Nutrition Society
, 72(1), 61–69.
Clinton, W. J. (1993).
Address to a joint session of Congress on health reform. Washington,
DC: O”ce of Government Printing.
CNN. (2009). Obama pokes fun at “Don’t Touch My Medicare!” People. Retrieved from

Cuckler, G. A., et al. (2018).
National health expenditure projections, 2017–2026: Despite
uncertainty, fundamentals primarily drive spending growth
. Health A#airs, 37(3).
Datar, A., & Nicosia, N. (2017). !e e#ect of state competitive food and beverage regulations
on childhood overweight and obesity.
Journal of Adolescent Health, 60(5), 520–527.
EBSCOhost – printed on 3/8/2021 11:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 3. The Politics of Health Care in the United States 71
Edney, A. (2018). Medicare fund to fall short in 2026, sooner than last forecast. Bloomberg
News
. Retrieved from https://bloom.bg/2sSCzgt
Egen, O., Beatty, K., Blackley, D. J., Brown, K., & Wyko!, R. (2017). Health and social conditions of the poorest versus wealthiest counties in the United States.
American Journal of
Public Health
, 107(1), 130–135.
Frank, R. G., & Zeckhauser, R. J. (2018). Excess prices for drugs in Medicare: Diagnosis and
prescription. (HKS Working paper no. RWP18-005).
Government Accountability O”ce (2017).
VA health care: Opportunities exist for improving implementation and oversight of enrollment processes for veterans. Washington, DC:
GAO.
Gusmano, M., & Rodwin, V. G. (this volume). Comparative health systems.
Hamel, L., Norton, M., Pollitz, K., Levitt, L., Claxton, G., & Brodie, M. (2016). #e burden
of medical debt: Results from the Kaiser Family Foundation/New York Times medical
bills survey. Retrieved from. https://kaiserf .am/2zooVau
Henry Kaiser Foundation. (2016). State health facts: Distribution of state general fund
expenditures. Retrieved from https://kaiserf .am/2NOuKC2
Ho!man, B. (2003). Health care reform and social movements in the United States.
American Journal of Public Health, 93(1), 75–85.
Jaroslawski, S., Auquier, P., & Toumi, M. (2017). No correlation between the prices of oncology orphan drugs in the US and their patient population sizes.
Journal of Cancer Policy
14
, 1–4.
Kerrigan, W. (2012).
Johnny Appleseed & the American orchard: A cultural history. Baltimore, MD: #e Johns Hopkins University Press.
Kersh, R. (2015). Of nannies and nudges: Current US food politics.
Public Health, 129.
Kersh, R., & Elbel, B. (2015). Public policy & obesity: Overview and update.
Wake Forest
Journal of Law & Policy
, 5(1), 105–123.
Kersh, R., & Morone, J. (2002a). How the personal becomes political: Prohibitions, public
health, and obesity.
Studies in American Political Development, 16(2), 162–175.
Kersh, R., & Morone, J. (2002b). #e politics of obesity: Seven steps to government action.
Health A!airs, 21(6), 142–153.
Kersh, R., & Morone, J. (2010). Obesity politics & policy. In J. Cawley, ed.,
Oxford Handbook
of the Social Science of Obesity
. New York: Oxford University Press.
Kesselheim, A. S., Avorn, J. & Sarpatwari, A. (2016). #e high cost of prescription drugs in
the United States: Origins and prospects for reform.
Journal of the American Medical
Association 316
(8), 858–871.
Kiszko, K. M., Martinez, O. D., Abrams, C., & Elbel, B. (2014). #e in$uence of calorie labeling on food orders and consumption: A review of the literature.
Journal of Community
Health
, 39(6), 1248–1269.
Kochanek, K. D., Murphy, S. L., Xu, J., & Arias, E. (2017).
Mortality in the United States,
2016. NCHS Data Brief No. 293.
McGuire, M. J. (2006). Eight revolutions in the history of US drinking water disinfection.
American Water Works Association Journal, 98(3), 123–149.
Meldrum, D. R., Morris, M. A., & Gambone, J. C. (2017). Obesity pandemic: Causes, consequences, and solutions—but do we have the will?
Fertility & Sterility, 107(4),833–839.
Morone, J. (2004).
Hell”re nation: #e politics of sin in American history. New Haven, CT:
Yale University Press.
Nixon, R. (1969). Remarks at a brie%ng on the nation’s health system.
OECD. (2017). OECD indicators: Health at a glance. Retrieved from https://bit.ly/1iCMVty.
Papanicolas, I., Woskie, L. R., & Jha, A. K. (2018). Health care spending in the United States
and other high-income countries.
Journal of the American Medical Association, 319(10),
1024–1039.
Pharmacy Bene%t Consultants’ comparison. (2018). Retrieved from https://bit.ly/2xR9OXi
EBSCOhost – printed on 3/8/2021 11:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
72 Part I. Health Policy
Pomeranz, J. L., Wilde, P., Huang, Y., Micha, R., & Moza!arian, D. (2018). Legal and administrative feasibility of a federal junk food and sugar-sweetened beverage tax to improve
diet.
American Journal of Public Health, 108(2), 203–209.
Schneider, E. C., et al. (2017).
Mirror, Mirror 2017: International comparison re!ects !aws
and opportunities for better American health care
. New York: Commonwealth Fund.
Skinner, D. (2012). Keep your government hands o! my Medicare!: An analysis of media
e!ects on Tea Party health care politics.
New Political Science, 34(4).
Sommers, B. D., & Epstein, A. M. (2017). Red-state Medicaid expansions—Achilles’ heel of
ACA repeal?
New England Journal of Medicine, 376(6), 1–3.
Sommers, B. D., Gawande, A. A., & Baicker, K. (2017). Health insurance coverage and
health— What the recent evidence tells us.
New England Journal of Medicine, 377,
586–593.
UN o”cial text. (2018) Retrieved from https://bit.ly/J1E1V3
VCU Center on Society & Health. (2018). Mapping life expectancy. Retrieved from https://
bit.ly/2FsfyWb
Watson, L., Levit, T., & Lavack, A. (2018). Obesity and stigmatization at work. In S. #omson
and G. Grandy, eds.,
Stigmas, work and organizations. New York: Palgrave Macmillan.
Woolf, S. H., & Aron, L. eds., (2013).
U.S. Health in International Perspective: Shorter Lives,
Poorer Health
. Washington, DC: National Academies Press.
World Health Organization. (2016). Life expectancy increased by $ve years since 2000, but
health inequalities persist.
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4
Comparative Health Systems
Michael K. Gusmano and Victor G. Rodwin
LEARNING OBJECTIVES
Understand the difference between national health insurance (NHI) and
national health service (NHS) systems
Highlight key features and issues in the health systems of Britain, France,
Canada, and China
View the U.S. health system from an international perspective
KEY TERMS
national health insurance (NHI)
national health service (NHS)
TOPICAL OUTLINE
Looking abroad to promote self-examination at home
Health system models
NHS and NHI systems compared with the United States
The health systems in England, Canada, France, and China
Provider payment
Coordination of care
Workforce and information technology (IT)
Health system performance
Lessons
© Springer Publishing Company DOI: 10.1891/9780826172730.0004
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

74 Part I. Health Policy
INTRODUCTION
Windows can sometimes be mirrors. A look
at health systems abroad can enable us to
develop a better understanding of our health
system in the United States. An international
perspective reveals that the United States
has the most expensive health care system
in the world. Unlike other wealthy countries,
however, the United States fails to provide
universal health insurance coverage. Moreover,
in contrast to most other wealthy nations, our
population faces !agrant inequities in access
to primary and specialty care. Health care
costs are often a source of “nancial strain,
even bankruptcy, for people with serious illness
(Hacker, 2006), and Americans su#er from high rates of mortality that could have
been avoided with timely and appropriate access to a range of e#ective health care
services (Nolte & McKee, 2012). $ere is also evidence that the U.S. health care
system squanders resources and fails to address many of its population’s health care
needs. Not surprisingly, public opinion polls regularly”nd that medical professionals
and the public are dissatis”ed with the system and believe major change is necessary
(Blendon, Benson, & Hero, 2014; Hargreaves et al., 2015).
Looking Abroad to Promote Self-Examination at Home
International comparisons of health care system performance remind us that
there are workable alternatives to our current system. Examining other systems
provides “the gift of perspective” and helps us to understand our own system
“by reference to what it is like or unlike” (Marmor, Freeman, & Okma, 2005). As
Rudolf Klein (1997, p. 1270) explains:
Policy learning … is as much a process of self-examination—of re!ecting on the
characteristics of one’s own country and health care system—as of looking at the
experience of others … the experience of other countries is largely valuable insofar
as it prompts a process of critical introspection by enlarging our sense of what is
possible and adding to our repertoire of possible policy tools. For policy learning is
not about the
transfer of ideas or techniques … but about their adaptation to local
circumstances. (emphasis in original)
$is chapter attempts to provide a better understanding of the U.S. health
care system by comparing it to health systems in wealthy countries, which share
many characteristics in common, and by contrasting it to China, a more striking
contrast. Our focus on wealthy nations draws on the experience of member
nations of the Organisation for Economic Co-operation and Development
(OECD), an organization based in Paris that studies economic trends, policies,
Public opinion polls regularly !nd
that medical professionals and
the public are dissatis!ed with
the system and believe major
change is necessary.
Price, volume, and technology
diffusion are the most
important factors driving
health care costs, not an
aging population.*
*To hear the podcast, go to https://bcove.video/2Pe60Tv or access the ebook on Springer Publishing ConnectTM.
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Chapter 4. Comparative Health Systems 75
and health data of its members. We pay special attention to England,1 which
operates a
national health service (NHS), and to Canada and France, which have
national health insurance (NHI) systems. Our focus on China is an example of
so-called BRIC nations (Brazil, Russia, India, and China) with large populations
that have bene!ted from rapid economic growth over the past two decades and
now are demanding access to state-of-the-art medical care.
Although England’s NHS is one of the most public systems in the world, it also
allows opportunities for private hospitals, private practice, and private insurance
for those who prefer such options. Canada is frequently compared with the United
States because of its physical proximity and similar political culture; until the mid-
1960s, Canada’s health care !nancing and delivery systems were nearly identical to
those in the United States (Marmor et al., 2005). France’s health system also shares
many features with the U.S. health system. Like the United States, France relies
on a multipayer system for !nancing care and o”ers a mix of public and private
providers for delivering health care services. French citizens also enjoy freedom of
choice among providers—to an even greater extent than Americans. #e French
experience (Rodwin, 2006) suggests that it is possible to achieve universal coverage
without adopting a single-payer NHI system, such as Canada’s, or an NHS, as in
England. China has proclaimed a commitment to universal health care coverage and,
given its size and progress over the past decade, represents an important case study.
Despite its rapidly growing economy, China’s national investments in public health
and medical care are still far smaller than those of OECD nations, and out-of-pocket
payments represent roughly one-third of all health care expenditures. We conclude
the chapter with some lessons of comparative experience for U.S. policy makers.
HEALTH SYSTEM MODELS
NHS systems, such as those in the United Kingdom, Sweden, Norway, Finland,
Denmark, Portugal, Spain, Italy, and Greece, may be traced back to Lord Beveridge,
who wrote the blueprint for the English NHS immediately after World War II.
Although such systems are characterized by a dominant share of !nancing derived
from general revenue taxes, this does not preclude other forms of !nancing. For
example, the relative size of private !nancing and provision is much higher in
Italy and Spain than in Sweden or Denmark. In England, 76% of NHS funding
comes from general taxation, 18% from a payroll tax, and the remainder from
private payments (#omson, Osborn, Squires, & Reed, 2012, p. 33). Historically,
NHI systems have had a more open-ended reimbursement system for health care
providers, but this distinction is blurring as NHI systems are increasingly under
pressure to operate within budget limits.
NHI systems may be traced back to Chancellor Otto von Bismarck, who established the !rst NHI program for salaried industrial workers in Germany in 1883.
With the exception of Canada, whose dominant share of !nancing is from general
1 We focus on England, the largest constituent country within the United Kingdom, because
there are important di!erences among the NHS in Scotland, Wales, and Northern Ireland.
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76 Part I. Health Policy
tax revenues, these systems are characterized by payroll tax-based !nancing. In addition to income taxes, about a quarter of Canada’s federal spending on health care
comes from corporations. “e provinces also supplement income and corporate
taxes with additional sources of funding such as sales, tobacco, and alcohol taxes. As
with NHS systems, NHI systems are characterized by signi!cant variation in their
!nancing and organizational arrangements. For example, the share of French public
health care expenditures !nanced from an income tax on all earnings, including
dividends and interest from capital, increased to 16% in 2016 (Rodwin, 2018).
Whether one’s image of a health system is private and market-based, as in the
United States and Switzerland; public and government-managed, as in the United
Kingdom and Scandinavian nations; or at some intermediary point along such a
continuum, as in France and Canada, it is possible to make some useful distinctions
with respect to the public versus private provision of health care and methods of
!nancing health services. Table 4.1 classi!es health systems along these dimensions.
Provision of Health Services
“e arrangements for providing health care in Table 4.1 distinguish whether health
services are delivered by the public, private not-for-pro!t, or private for-pro!t
sector. Within these categories, many distinctions may be added. For example, some
publicly capitalized organizations (row A) are national (e.g., the Veterans Health
Administration [VHA] in the United States), others are subnational (state mental
hospitals), and many are local (municipal hospitals). Likewise, the not-for-pro!t
category may include a variety of quasi-public organizations, such as hospital
trusts in Britain (row B). “e for-pro!t form of provision (row C) includes private
for-pro!t hospitals and a distinctive subcategory in the United States – hospitals
and managed care organizations (MCOs) that sell ownership shares to investors
on publicly traded stock markets. Indeed, the growth of large investor-owned
MCOs distinguishes the United States from most other OECD nations.
TABLE 4.1 HEALTH SYSTEM PROVISION AND FINANCING

DELIVERY APPROACH FINANCING
Government
Income Taxes and
General Revenue
1
Social
Security/NHI
Payroll Taxes
2
Private
Insurance
3
Out-of-Pocket
Payments
4
Government Owned and
Operated
A
Private Nonpro!t/
Quasi-Government
B
Private For-Pro!t
C

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Chapter 4. Comparative Health Systems 77
Financing
!e four methods of raising revenues to pay for health services correspond to
columns 1 through 4:
■■ 1: General revenue “nancing through the “scal tax system, including personal income
taxes
■■ 2: Compulsory payroll tax “nancing through the Social Security system
■■ 3: Voluntary premiums assessed by private health insurance companies and often paid
by either employees or individuals
■■ 4: Individual out-of-pocket payments made at the time a patient receives a service
Although all countries rely on blends of these four sources of revenue to
“nance health care services, most developed countries have adopted one of two
distinct health system models for actually getting care delivered to patients. NHS
systems generally rely on the government to organize the delivery of services
directly and either employ providers directly or as private contract employees. In NHI systems, governments organize social insurance programs that
reimburse health care providers for services rather than paying for health care
directly through the government’s budget. NHI systems generally rely mostly
on payroll taxes to fund their health services. NHS systems, however, rely on
general revenue taxation such as income taxes and a broad range of other taxes
to fund the delivery system. Using income taxes and general revenues allows for
greater redistribution of resources from the wealthy to the poor. Payroll types
are generally not highly redistributive.
In contrast to England, Canada, and France, China and the United States
rely, to varying degrees, on subnational and local governments to “nance health
care. In Canada, provinces and territories administer universal health insurance
programs, and the federal government provides block grants that account for
approximately 20% of health care expenditures. To qualify for the federal funds,
provincial and territorial health insurance systems must meet “ve criteria speci-
“ed by the Canada Health Act of 1984. !ey must be (a) administered on a nonpro”t basis by a public authority; (b) comprehensive in the sense that they must
cover most health services provided by hospitals, medical practitioners, and dentists; (c) universal in that all legal Canadian residents are covered; (d) portable
so that coverage for all residents in each province or territory is transferable to
all other parts of Canada; and (e) accessible, although “reasonable access” is not
de”ned in the law.
In 2009, China adopted a reform that provided health insurance for all of
its population. Between 2000 and 2013, the share of government total health
expenditure doubled from 15.5% to 30.1% (Qian, 2015). Although China now
provides some minimal health insurance to the majority of its population, coverage remains extremely limited, and as we noted earlier, roughly one-third of
all spending on health care still comes from out-of-pocket payments (Table 4.1,
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78 Part I. Health Policy
column 4). In terms of public funding for health care, China relies—to an even
greater extent than Canada—on subnational government revenues to !nance the
country’s three NHI funds.
Below the national government, China has provincial, regional, and local governments. By the mid-1990s, these subnational government authorities !nanced
80% to 90% of total government spending on social services, including health
care (Hipgrave et al., 2012). “e adoption of health reform has increased central government contributions to health care, but local government taxes and
out-of-pocket payments from individual patients still represent the two largest
sources of revenue. “is approach has exacerbated the large economic disparities between the wealthier coastal provinces and the poorer rural provinces in
western China. “e national government has attempted to address the country’s
rural-urban disparities, but with limited success.
NHS AND NHI SYSTEMS COMPARED WITH THE UNITED STATES
Table 4.1 enables one to highlight key features of NHS and NHI systems and
to adopt an international perspective on the U.S. health care system. “e most
striking di#erence between the United States and NHS or NHI systems is that
the United States—even after passage of the Patient Protection and A#ordable Care Act of 2010 (ACA)—includes large elements of !nancing based on
actuarial principles whereby private insurance premiums (column 3) are set
with respect to estimated risk. In contrast, in NHS and NHI systems, most
health care !nancing is based on ability to pay (columns 1 and 2). Ability-topay criteria lead to wealthier, younger, and healthier individuals paying disproportionately to !nance the care of poorer, older, and sicker individuals. Aside
from this important distinction, the rows and columns of Table 4.1 suggest that
most health care systems have elements of many boxes ranging from socialized medicine (box A1) to out-of-pocket payment for private practitioners and
hospitals (box C4).
“e United States has neither an NHS nor an NHI system. Instead, the
U.S. health care system relies on a patchwork of public and private insurance
with large gaps in coverage (see Chapter 3). Its enormous pluralism exhibits
components of its health system within each of the boxes in Table 4.1. It uses
a social insurance system for older people and for those with permanent disabilities (Medicare: columns 1 and 2); a social welfare system for some people
with low incomes (Medicaid, column 2); and an employer-based private health
insurance system for a large percentage of salaried employees in the private
and public sectors (column 3). Along with its public and private insurance programs, the United States also has elements of socialized medicine, such as the
military health care system, the VHA system, and the Indian Health Service
(IHS) for Native American and Alaskan Native people.
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Chapter 4. Comparative Health Systems 79
THE HEALTH SYSTEMS IN ENGLAND, CANADA, FRANCE, AND CHINA
Beyond the di!erences we have noted
between NHI and NHS systems, these systems have evolved in similar directions.
After World War II, governments have gradually extended their role in the “nancing
and provision of health services. What was
once largely the responsibility of the family,
philanthropy, religious institutions, employers, and local governments has largely
been taken over by national and subnational governments—a trend that has
accompanied the rise of the welfare state (de Kervasdoué, Kimberly, & Rodwin,
1984). #is evolution has a!ected all wealthy OECD nations and, increasingly,
BRIC and less developed nations. #e U.S. reliance on employer-based private
health insurance for many Americans is an important contrast to NHI and NHS
systems. Yet even in the United States, recent decades have seen an expansion of
public insurance and a decline in employer-based coverage.
#e growth of government involvement in health systems has characterized
OECD nations during the great boom years of health sector growth (1950s and
1960s) when governments encouraged hospital construction and modernization,
workforce training, and biomedical research. It continued in the 1970s, when the
goals of OECD countries shifted more in the direction of rationalization and cost
containment (Rodwin, 1984). In the early 21st century, public and private health
insurance has become the dominant source for funding health care, and public
expenditure on health care services, along with education and Social Security,
has become one of the largest categories of social expenditures as a share of gross
domestic product (GDP).
In contrast to these trends in OECD nations, by the end of the 1970s, China
moved from a health system dominated by public “nancing to one dominated by
private, out-of-pocket payments. Between 1949 and the early 1980s, the Chinese
health system was “nanced largely by the central government and state-owned
enterprises (Valentine, 2005). In 1978, Deng Xiaoping called for market reforms.
#e central government reduced its share of national health care spending from
32% to 15% (Blumenthal & Hsiao, 2005). It slashed subsidies to public hospitals
and introduced market mechanisms in health care, resulting in rapid growth of
out-of-pocket payments and income-based inequities.
By the late 1990s, Chinese o$cials increased investment in public health to
address growing disparities between rural and urban areas. E!orts to improve
the public health and primary care systems accelerated after the outbreak of
severe acute respiratory syndrome (SARS) in late 2002. By the end of 2003, more
than 5,000 people were infected with SARS and 349 people died (Smith, 2006),
thus exposing the weaknesses of the public health system. Since 2009, China has
continued to expand the role of government through the creation of new public
After World War II, governments
have gradually extended
their role in the !nancing and
provision of health services.
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80 Part I. Health Policy
insurance schemes and the adoption of new public health regulations (Wang,
Gusmano, & Cao, 2011).
In addition to the growth of government’s role in health care, most OECD
nations confront common challenges and exhibit distinct approaches for many
issues. We illustrate how this is so by comparing the health systems of England,
Canada, France, and China with respect to (a) provider payment, (b) coordination
of care, (c) workforce and IT, and most important, (d) health system performance.
Provider Payment
All countries rely on multiple methods for paying physicians and hospitals.
NHS systems traditionally have relied more on salaried and capitation forms of
payment for physicians and budgets for hospitals. In the English system, about
two-thirds of general practitioners (GPs) and dentists work as independent contractors reimbursed through a blended payment system, 75% from capitation
payment and most of the rest (20%) from fee-for-service (FFS) payments based on
performance. Since 2012, GPs have been placed in charge of clinical commissioning groups (CCGs), which control about 70% of the NHS budget (NHS Clinical
Commissioners, 2018). CCGs are locally speci!c NHS bodies in charge of planning and commissioning health care for their area, including purchasing hospital
and specialty medical care services for their patients. “e NHS !rst introduced
a prospective payment system for reimbursing public and private hospitals in
2003 and, in April 2004, phased in a new national tari# system. Since 2012, the
NHS has adopted a Payment by Results (PbR) system based on the average cost of
providing the procedure or the treatment across the NHS as a whole.
Historically, Canadian primary care physicians have been paid on an FFS
basis. “e Ministries of Health for all provinces and territories are responsible for
negotiating an annual physician fee schedule based on a relative value scale (RVS)
for each reimbursable procedure or code. “e RVS may have developed from a
resource-based fee schedule (RBFS), which tries to capture the inputs required
to provide the service, or on historical charges. Studies have found wide variation in fee schedules across Canada (Roth & Adams, 2009). In more recent years,
some provinces have experimented with blended capitation schemes in family
health networks, family health teams, and family health organizations. Blended
capitation relies on age- and gender-adjusted payments, coupled with !nancial
incentives to follow “evidence-based” guidelines and FFS when physicians treat
patients who are not enrolled in these schemes (HealthForceOntario, 2014).
In France, physicians in the ambulatory sector and in private hospitals are
reimbursed largely on the basis of a fee schedule negotiated among physician
associations, the central administration of NHI funds, and the government.
Approximately 10% of GPs and 40% of specialists in private o$ce-based practice
have the option to extra-bill beyond the negotiated fees that represent payment
in full for all other physicians. “ese !gures vary by subspecialty and location.
Physicians who have opted to extra-bill may do so as long as their charges are
set with “tact and measure,” a standard that has never been legally de!ned but
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Chapter 4. Comparative Health Systems 81
which has been found, empirically, to represent a 50% to 100% increase to the
negotiated fees. Physicians who “extra-bill” receive more revenue per patient seen
but they need to recruit from a subset of patients able and willing to pay this extra
out-of-pocket payment. Physicians based in public hospitals are remunerated on
a part-time or full-time salaried basis, and those in private for-pro!t hospitals
may bill NHI based on the negotiated fees.
Before 1984, public hospitals in France were reimbursed on the basis of a retrospective, cost-based, per diem fee; after that, they were placed on global budgets
that were later gradually adjusted for patient case mix in the 1990s. Private forpro!t hospitals used to be reimbursed on the basis of a negotiated per diem fee;
in the 1990s, the per diem payments were also gradually adjusted for their case
mix. “e basis for case-based adjustment in France is an adaptation of the U.S.
diagnosis-related group (DRG) categories known in France as GHM (groupes
homogènes de malades). “e most recent modi!cation was introduced in 2004
(Schreyögg, Stargardt, Tiemann, & Busse, 2006) when activity-based payment
(ABP) was introduced to create a level playing !eld for reimbursement of acutecare services among public and private hospitals. As of 2012, the reimbursement
system for public and private hospitals has been completely aligned based on
the national ABP tari#s that take into account each hospital’s historical costs.
“is has resulted in expected activity growth, which in turn, results in downward
price adjustments because annual hospital costs are constrained by national and
regional hospital expenditure targets (Or, 2010).
In China, the expansion of health insurance is changing the nature of provider
payment, but by the end of 2013 most physicians were still paid salaries. Subnational
governments in China regulate prices in an e#ort to make health care a#ordable, and
over the past two decades, with encouragement from the central government, they
have introduced such incentives as pay-forperformance based on treatment protocols to
improve quality (Yip, Hsiao, Meng, Chen, &
Sun, 2010). Although the central government
hopes the expansion of health insurance will
limit hospital reliance on kickback payments
from medical device and pharmaceutical
companies, such payments continue to be
an important source of revenue for Chinese
health care providers (Wang et al., 2011; Shi
et al., 2018).
In comparison to England, Canada, France, and China, the United States pays
signi!cantly higher prices for medical care. Although there is some debate about
the factors that drive U.S. health care spending, consensus has emerged that price
is the most important factor in explaining why the United States spends so much
more than any other health care system in the world (Papanicolas, Woskie, & Jha,
2018). Two distinguishing characteristics of the U.S. health care system are that, in
contrast to other OECD countries, there is neither a national budget cap nor a formal
process of price negotiation between payers and representatives of physicians.
Two distinguishing
characteristics of the U.S. health
care system are that, in contrast
to other OECD countries, there
is neither a national budget cap
nor a formal process of price
negotiation between payers and
representatives of physicians.
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82 Part I. Health Policy
Coordination of Care
All countries su!er from problems of coordination among hospitals and
community-based services. “ey di!er, nonetheless, with regard to the resources
and organization of their delivery systems. France, for example, has more practicing
doctors per 1,000 population (3.3) than the United Kingdom (2.8), the United States
(2.6), Canada (2.7), or China (1.8) (OECD, 2015). France also has more acute hospital
beds per 1,000 population (4.1) than the United States (2.5), the United Kingdom
(3.0, 2013), Canada (2.0), or China (2.7, 2013) (OECD, 2013, 2015).
Since its creation in 1948, the NHS has been one of the largest public service
organizations in Europe. With more than 1 million employees, more than 2,500
hospitals, and a host of intermediary health care organizations, the NHS poses an
awesome managerial challenge (Klein, 2013, 2018). Perhaps because Britain has
fewer health care resources than most OECD nations, the British have been more
aggressive in e!orts to reduce ine#ciency than other wealthier countries. Because the
NHS faces the same demands as other systems to make technology available and to
care for an increasingly aged population, British policy makers recognize they must
pursue innovations that improve e#ciency in the allocation of limited resources.
Such e!orts, however, face numerous obstacles: opposition by professional bodies,
di#culties in %ring and redeploying health care personnel, and, not least, the
tripartite structure of the NHS, which, since its inception, has created an institutional
separation among hospitals, general practitioners, and community health programs.
“is separation is reinforced further by the fact that local authorities are responsible
for a great deal of prevention and health promotion as well as social care, making it
di#cult to integrate hospital and community-based care.
In Canada, less separation exists between physicians and hospitals because
specialists are paid FFS and work both in community-based practice as well as in
hospitals. Hospitals are largely private nonpro%t institutions with their own governing boards, but they are almost entirely publicly %nanced and subject to tight
budget constraints. Most community-based physicians must refer their patients
requiring diagnostic procedures and testing, as well as more specialized care, to
local hospitals, which can lead to extended waiting times for elective procedures
and problems in ensuring optimal coordination among hospital specialists and
community-based providers.
France also faces problems with the coordination of care between hospitals
and community-based providers. “ere is inadequate communication between
full-time, salaried physicians in public hospitals and solo physicians working in
private practice. Although GPs have informal referral networks to specialists and
public hospitals, no formal institutional relationships exist to ensure continuity of
medical care; disease prevention; health promotion services; posthospital followup care; or systematic linkages and referral patterns among primary-, secondary-,
and tertiary-level services. Schoen et al. (2012) document that the French health
care system is characterized by poor hospital discharge planning and a lack of
coordination among medical providers.
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Chapter 4. Comparative Health Systems 83
In China, before 1978 the health care delivery system in rural areas was organized by communes, which provided housing, education, and social services as
well as basic medical care. An important feature of the communes’ Cooperative
Medical System was the sta! of paraprofessionals known as “barefoot doctors”
(Rosenthal & Greiner, 1982). Most of the barefoot doctors were young peasants
who received a few months of training and o!ered basic primary and preventive
care, including health education. If the needs of patients were more complex, the
barefoot doctors would refer them to physicians at the commune health centers
or, if necessary, to the closest hospital. In urban areas, the health care delivery
system relied heavily on so-called “rst-level hospitals, community clinics with a
modest inpatient capacity, to provide ambulatory care.
With the introduction of market mechanisms in the health sector after 1978,
the government ended its barefoot doctor program in rural areas, leaving the
population in rural China without adequate access to health care services. It also
reduced its subsidies to state-owned “rst-level hospitals; forced to become more
self-reliant, these hospitals withdrew public health and primary health care services. Some “rst-level hospitals went bankrupt, and those that survived turned to
pro”table medical services rather than emphasizing primary care and prevention.
Since the 2009 reform, the rapid increase in health insurance coverage brought
nearly 1 billion people back under some form of “nancial protection. Service
utilization has increased and hospital care has become more a!ordable, but there
are still glaring disparities across regions and medical sectors (He & Meng, 2015).
Moreover, a strong system of primary care is conspicuously absent, and coordination among primary care and hospitals remains an elusive goal.
Workforce and Information Technology
Primary care versus specialty care balance. Among OECD health care systems,
an average of 31% of physicians are generalists. #e United States stands out, in
contrast, because about 90% of physicians are specialists, and only about 10%
are generalists (Laugesen, 2018). Despite this di!erence, when adjustments are
made, it turns out that one third of the physician workforce in the United States
and other OECD nations works in primary care. #e situation in China, however,
presents a striking contrast because only 57% of cities have community-based
primary care organization, and more than 40% of the population reports that it
does not have convenient access to a primary care center (Wang et al., 2011). In
addition, most general practitioners lack additional training after receiving their
undergraduate medical education.
Primary care is important because systems with a higher concentration of
primary care practitioners improve coordination and continuity of care. Access
to an e!ective system of primary care appears to result in higher life expectancy
at birth, lower infant mortality, lower mortality from all causes, lower diseasespeci”c mortality, and higher self-reported health status (Star”eld, Shi, &
Macinko, 2005; World Health Organization [WHO], 2008).
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84 Part I. Health Policy
Workforce shortages/surpluses. Concerns about the adequacy of primary
care in the United States are reinforced by discussions about the adequacy of the
health and social care workforce in the face of rapid population aging (Carrier,
Yee, & Stark, 2011). Increases in Alzheimer’s disease and other forms of dementia
have raised concerns about the extent to which the health and long-term care
systems will have a su!cient number of physicians, nurses, and other medical
professionals to address the needs of an aging society (Warshaw & Bragg, 2014).
Although a shortage of clinicians, particularly in primary care, is the major
concern in the United States, France, and China, some countries in Europe, particularly England, now wonder whether they may have too many doctors and
nurses. Before the global economic crisis began in 2008, many OECD countries
adopted policies designed to increase their supply of medical professionals.
After the economic slowdown, many countries expressed concern about an
“oversupply” of some health care workers (Ono, Lafortune, & Schoenstein, 2013).
Starting in 2000, for example, the English NHS adopted a workforce redesign
initiative to increase the number of doctors and nurses in the system, expand
the roles of existing professionals, and redistribute responsibilities to rely more
on teams of health care professionals. As a result, there is now concern that the
country may have too many hospital specialists, but there are persistent concerns
that it still does not have a large enough supply of well-trained social care workers, particularly for providing home care to older patients (Bohmer & Imison,
2013). Similarly, a recent assessment of health care needs in Ontario, Canada,
concluded that there will be an aggregate surplus of GPs and specialists in 20
years, even though some specialties and areas may experience shortages (Moat,
Waddell, & Lavis, 2016).
!e push for electronic medical records and other forms of health care IT.
“roughout the world, policy makers are searching for ways to reduce health
care spending while improving the quality of care. “e use of electronic health
records and other forms of health information technology (HIT) are often touted
as solutions to these problems (see Chapter 14). Harvey Fineberg (2012), the
president of the Institute of Medicine, argues that over the long term, HIT will
improve the quality and e!ciency of the health care system. Marmor and Oberlander (2012, p. 1217) dismiss the focus on HIT as a “fad” and suggest that the
desire to #nd a “big #x” to the problems of cost and quality has led policy makers
to embrace technical and managerial solutions, including the adoption of HIT,
along with various forms of managed care, health planning, and payment reforms
designed to align the incentives of providers and patients with public health goals.
“is argument supports the classic James Morone (1993) thesis that the
United States tends to search for a “painless prescription” to the major challenges
in health care. Indeed, comparative analysis suggests that such technical solutions as HIT to the problems of cost and quality have had little e$ect on cost or
quality in health care and that the United States should focus on more important
structural features of other health care systems, such as global budgets, fee schedules, systemwide payment rules, and concentrated purchasing power.
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Chapter 4. Comparative Health Systems 85
Advocates of HIT argue that newer developments in the use of so-called big
data are more likely to transform medical practice because of their capacity to
link information among many institutions within a health care system. !ey also
argue that the United States has never adopted HIT on a widespread basis, so
the failure of previous e”orts to improve quality or lower costs is not su#cient
evidence that HIT cannot contribute to these goals in the future.
It seems plausible to suggest that HIT may be a valuable tool for addressing
costs and quality in health care, but its value surely depends on the policy context
in which it is used. For England, Canada, and France, HIT may further enhance
the e#ciency of resource allocation by providing administrators, providers, and
patients with access to better information. In the United States, however, the
e”ect of HIT within the context of a fragmented, open-ended $nancing system
may be far more limited. Viewed from this perspective, it is easier to understand
the arguments of those who remain skeptical of HIT’s importance.
Health System Performance
Policy makers and researchers often want to compare the performance of di”erent systems and identify lessons for health policy. Although these e”orts have
generated important information, they have often succumbed to the temptation
of devising a composite indicator to rank health care systems against one another
(Oliver, 2012). !is practice encourages lavish attention from the media on the
search for the best health care system, the new holy grail of performance assessments. Unfortunately, such an approach lacks any e”ort to understand, assess,
and compare health care systems in relation to the cultural context, values, and
institutions within which performance indicators are embedded.
!e study of health system performance by the WHO is the most prominent example of the composite indicator approach to the comparative analysis of
health systems (WHO, 2000). WHO ranked the health systems of 191 member
states based on weighted measures of $ve objectives: (a) maximizing population
health (as calculated by disability-adjusted life expectancy, or DALE); (b) reducing inequalities in population health; (c) maximizing health system responsiveness; (d) reducing inequalities in responsiveness; and (e) $nancing health care
equitably.
Although controversial because of its many methodological %aws and missing data, the WHO report generated tremendous discussion about health system
performance and the criteria that should be used to assess it (Musgrove, 2003).
Some of the controversy generated by the report can be attributed to complaints
from countries unhappy with their ranking, but prominent academics also criticized the study for relying on incomplete and inadequate data as well as on questionable methods (Williams, 2001).
WHO’s use of DALE as a measure of health status illustrates the problem of
using population health status to assess the performance of health care systems.
DALE includes causes of death that are amenable to health care as well as a
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86 Part I. Health Policy
host of social determinants of health. As a result, this measure is not “related
directly to the health care system” (Nolte & McKee, 2003, p. 1129). Using DALE,
life expectancy at birth and infant mortality are inadequate measures of health
system performance because the role of health care in improving population
health is small compared with interventions aimed at social and environmental
determinants.
As Bradley and Taylor (2013) argue, one reason the United States performs so
poorly on such indicators is because we have failed to invest su!ciently in education, housing, employment, and other social programs that help to produce and
sustain good health. Between those who emphasize the decisive e”ect of social
determinants of health and those who focus on access to health care, there is a
middle ground: attention not only to the consequences of poor social conditions,
but also to barriers in access to what we have called e”ective health care services.
#ere is a vast literature that measures inequities in access to health care (see
Chapter 2). Such studies rely either on comparisons of inputs (e.g., physicians,
hospital beds) or on administrative or self-reported survey data to measure service utilization. An alternative approach attempts to capture the consequences
of poor access to disease prevention, primary care, and specialty services—in
other words, mortality amenable to health care (amenable mortality). Of course,
few causes of death are entirely amenable, or not amenable to health care, and
as medical therapies improve even more deaths may be classi$ed as potentially
avoidable. Nevertheless, based on an OECD study, this summary provides convincing evidence that the United States is not performing well in comparison to
other wealthy nations (Mossialos, Wenzl, Obsorn, & Sarnak, 2016).
Cross-national analysis of trends in avoidable mortality indicates that
amenable deaths have declined much faster over the last three decades than
other causes of death (Nolte & McKee, 2012). #is result lends further credence
to the validity of amenable mortality as an indicator of the e”ectiveness of public
health interventions and medical care. We have used this measure to compare
the health systems in megacities located within four of the countries we highlight
in this chapter: London, New York, Paris, and Shanghai (Gusmano, Weisz, &
Rodwin, 2009).
#rough ACOs in the United States (see Chapter 11) and various forms of
disease management and integrated service delivery proposals in other countries,
health care professionals are being encouraged to think about population as well
as individual health. #e e”ort to shift health systems in this direction is a positive development, but if we hope to understand the performance of health care
systems and the relationship between health care inputs and health outputs, it is
important to select such indicators as amenable mortality, which are more closely
related to the performance of these systems than are broad measures of health
such as life expectancy and DALEs.
#e extensive criticism of WHO’s e”ort to evaluate health system performance has not discouraged other groups from taking similar approaches. #e
Commonwealth Fund has a project designed to identify high-performing health
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Chapter 4. Comparative Health Systems 87
systems within the United States and other wealthy nations. It also draws on
more dependable data than WHO’s for its assessments in part because its scope
is more limited and focuses on nations for which population, health, and health
system data are more readily available. For example, the Commonwealth Fund
supplements many of the same data sources used by WHO with original surveys
of patients and primary care providers !elded by Harris Interactive (Commonwealth Fund, 2014).
It then uses these survey results, along with a host of other data sources, to
compare U.S. national averages on multiple criteria grouped by such categories
as health outcomes, quality, access, e”ciency, and equity (Schneider, Sarnak,
Squires, Shah, & Doty, n.d.). #e problem with such an approach, well summarized by Schneider and Squires (2017), is that little attention is paid to the validity
of the multiple criteria measured and no rationale is provided for weighting the
main categories equally and then ranking health systems on the basis of criteria
on which diverse publics and policy makers rarely agree.
Access to services across income groups. An important dimension of health
system performance is the extent to which a system provides access to health
care services by income group. In contrast to the United States, countries with
universal or near-universal coverage enjoy a relatively equitable distribution of
primary care visits (van Doorslaer & Masseria, 2004). Lower-income residents
of Australia, Canada, New Zealand, and the United Kingdom, for example,
are less likely to report barriers to health care than people with below-median
incomes in the United States (Blendon et al., 2002). A comparative study on
hospitalizations for ambulatory care sensitive conditions (ACSCs), a measure
of access to timely and e$ective primary care, !nds that rates are much lower in
England, France, and Germany than in the United States (Gusmano, Rodwin, &
Weisz, 2014).
A concern often voiced by conservative analysts in the United States is that
so-called “government-run” health care systems, by which they mean both NHS
and NHI systems, “ration” care (Goodman, Musgrave, & Herrick, 2004). Because
such systems operate within a budget, these analysts claim, they must limit access
to specialty and surgical health care services in ways that are unacceptable. #is
claim is supported by studies that compare access to certain expensive health
care services in England and the United States (Aaron, Schwartz, & Cox, 2005).
Although there is evidence that some expensive technologies, including revascularization and kidney dialysis, are used less frequently in England than in the
United States (Gusmano & Allin, 2011), this is not the case with respect to France
or Germany. For example, after controlling for need, the use of revascularization
(coronary artery bypass and angioplasty) is comparable in France, Germany, and
the United States (Gusmano et al., 2014).
Even among countries that provide universal coverage, there are di$erences
in access to specialty services by socioeconomic status. Residents of higherincome neighborhoods in Winnipeg, Canada, a country that strives to eliminate
!nancial barriers to care, receive “substantially more” specialty and surgical care
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88 Part I. Health Policy
than lower-income residents of the city (Roos & Mustard, 1997). In France, Germany, and England, access to some specialty health care services is signi!cantly
worse among residents of lower-income neighborhoods (Gusmano et al., 2009).
Inequalities in access to health care are even greater in BRIC countries and developing nations. Despite remarkable economic growth in recent decades, for example, there are “agrant disparities in access to health care within China.
Cost. As was evident during the debates over the ACA, there is a widely shared
belief among American policy makers that a national program providing for universal entitlement to health care in the United States would result in runaway
costs. In response to this presumption, nations that entitle all of their residents to
a high level of medical care, while spending less on administration and on health
care than the United States, are often held up as models. #e Canadian health system is the most celebrated example. French NHI is another case in point. England’s
NHS, although typically considered a “painful prescription” for the United States
(Aaron et al., 2005), nevertheless ensures !rst-dollar coverage for basic health services to its entire population and, as we have seen, spends less than half as much
on health care, as a percentage of GDP, and approximately one-half as much per
capita as in the United States (Table 4.2). Huang (2011) expects that China’s total
health care expenditures will increase rapidly over the coming decade, but its current spending, as a percentage of GDP, is far below the OECD average.
Stories in the media often suggest that pressures from population aging will
render existing welfare state commitments, including the Medicare and Medicaid programs in the United States, unsustainable. Despite these concerns, most
studies conclude there is no correlation between the percentage of the older
population (65 years and over) and health care expenditures as a percentage of
GDP. #e United States, which spends more on health care than any country in
the world, is among the OECD countries with the youngest age cohorts. In contrast, Britain, Italy, Sweden, Germany, and France, with older populations than
the United States, spend a far lower percentage of GDP on health care. Even if
one excludes the United States and examines only the European Union, there is
no correlation between population aging and health care spending.
Cross-national analysis of health care expenditure data indicates that, after
controlling for income, age has little e$ect on national health care expenditures.
TABLE 4.2 HEALTH CARE EXPENDITURE AS A SHARE OF GDP: SELECTED COUNTRIES, 2016

United States 17.2%
France 11%
Canada 10.6%
United Kingdom 9.7%
OECD Average 8.9%
China 5.5%*

* Data only available up to 2014.
GDP, gross domestic product; OECD, Organisation for Economic Co-operation and
Development.
Source: Organisation for Economic Co-operation and Development. (2017). Health at a
glance 2017: OECD indicators
. Paris, France: OECD Publishing.
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Chapter 4. Comparative Health Systems 89
Proximity to death, not age, leads to an increase in health spending (Moon, 1996).
An analysis of health spending on older people in Switzerland found that expenditures are concentrated in the last few months of life (Zweifel, Felder, & Meiers,
1999). Although the OECD analysts project that “age-related spending for the
average country will rise by around 6 to 7 percentage points of GDP between
2000 and 2050,” they acknowledge that “part of this pressure is a result of cost
pressures from advances in medical technologies, rather than ageing per se”
(Australian Department of the Treasury, 2007).
Price, volume, and technology di!usion are the most important factors that
drive health care costs; as noted earlier, however, high U.S. prices explain why
the U.S. health care system is so expensive relative to other nations (Papanicolas
et al., 2018). Although Americans spend more than any other nation, health service use in the United States is actually below the median for the OECD on most
measures. A study for the McKinsey Global Institute (Angrisano, Farrell, Kocher,
Laboissiere, & Parker, 2007), based on four diseases, provides further support
for the role of prices in driving up U.S. health care costs. “e study found that in
1990, Americans spent about 66% more per capita on health care than Germans
but received 15% fewer real health care resources.
In addition to understanding the factors that drive health care spending, it
is important to confront the question: How much spending on health care is too
much? Most health economists argue that there is no right amount of money to
spend on health care. Cutler (2007) argues that we should focus less on the level
of health care expenditure and pay greater attention to whether the expenditures
generate more bene#ts than costs. However, e!orts to adopt explicit economic
evaluation of health technology provoked controversy in the United States.
“e ACA forbids federal government agencies from using cost as a criterion
for making coverage decisions. Among the countries compared in this chapter,
France, Canada, and England, to varying degrees, all use economic evaluations of
health technology to make coverage decisions. In France, economic evaluations
of new drugs are recommended but not required (Sorenson, 2009). In Canada,
these e!orts are more decentralized than in England, and “only a handful” of technologies are subject to cost-e!ectiveness analysis (Menon & Sta#nski, 2009). In
England, the National Institute for Health and Care Excellence (NICE) focuses on
new technologies only and is reputed to be the leading health technology assessment agency worldwide.
NICE, established in 1999 in response to growing concerns about variations
in the use of new technology, is supposed to meet three primary objectives:
(a) reduce unwarranted variation in prescribing patterns across England and
Wales, principally through setting practice guidelines; (b) encourage the di!usion and uptake of e!ective health technologies; and (c) ensure value for money
for NHS investment by assessing the cost-e!ectiveness of selected interventions. Record increases in NHS expenditures throughout the decade following
2000 were linked to meeting these objectives, particularly in terms of directing
spending to facilitate widespread and uniform access to the most cost-e!ective
treatments.
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90 Part I. Health Policy
NICE prides itself on its transparency, methodological rigor, stakeholder
inclusiveness, consistency, independence from government, and timeliness, all of
which appear necessary to secure the legitimacy and e!ectiveness of its recommendations. Since 2003, it has been mandatory for local NHS purchasers and
providers to act on all positive recommendations on technology appraisals (i.e.,
recommendations that speci”c health care interventions be made available in the
NHS) within 3 months of their publication.
NICE arrives at conclusions about whether interventions are therapeutically bene”cial and cost-e!ective compared with other relevant alternatives by
reviewing a range of available evidence, assembled and synthesized by a publicly
funded network of academic institutions. #e role of social values in the appraisal
process is increasingly apparent as NICE reviews complex cases, for instance,
on whether select end-of-life cancer drugs be made available to NHS patients
despite their o!ering insu$cient value for money with respect to conventionally
accepted thresholds of cost-e!ectiveness.
#ere is some evidence that widespread adoption of NICE recommendations
for speci”c technologies, particularly cancer drugs and the use of varenicline for
smoking cessation, has reduced geographic variations in access to the technologies (Chalkidou, 2009). Also, there is evidence that NICE guidance has increased
costs to the NHS, which is not surprising because most cost-e!ective interventions are more expensive than the alternatives. #is does not bode well for those
in the United States who hope that economic evaluation of health technology will
contain the growth of health care costs, particularly if assessment e!orts are disproportionately focused on new, expensive technologies. Chalkidou (2009) estimates that since its creation, NICE’s decisions have cost more than £1.5 billion a
year. In this context, it should be noted that cost containment was never one of
NICE’s explicit objectives.
Quality. #e focus on quality is a relatively recent phenomenon. For many
years, the primary concern of most policy makers, particularly in developed countries, was on overcoming “nancial barriers to the health care system. In 2002, the
OECD created the Health Care Quality Indicators (HCQI) project to develop
and implement a set of international indicators. #e project includes representatives from 23 of the 30 OECD nations, as well as a number of international
partners, including the Commonwealth Fund, the Nordic Council of Ministers
Quality Project, and the International Society for Quality in Health Care (ISQua).
#e project team identi”ed “ve priority areas for monitoring quality: (a) cardiac
care, (b) diabetes mellitus, (c) mental health, (d) patient safety, and (e) primary
care and prevention/health promotion. #e OECD secretariat asked participating countries to identify expert panelists to review potential indicators (Mattke,
Epstein, & Leatherman, 2006). #e panels were charged with reviewing existing
indicators rather than developing entirely new measures. #ey used a consensus
process and selected 86 indicators on the basis of relevance, including the extent
to which the health system can in%uence the indicator, scienti”c soundness,
and feasibility. Not surprisingly, the project has identi”ed signi”cant variation
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Chapter 4. Comparative Health Systems 91
in quality as measured by these indicators
(OECD, 2013).
Some quality indicators, such as leaving a foreign body inside patients during
surgery, follow directly from the literature
on medical errors that can be influenced
by a health system. The relationships
between health system quality and other
indicators, however, are controversial. For
example, higher rates of 5-year survival
among patients diagnosed with breast or
cervical cancer may reflect better access to high-quality cancer care. It is possible, however, that these outcomes may reflect more aggressive efforts to
diagnose patients with cancer and have little to do with the quality of care
patients receive. Beyond these conceptual issues, countries continue to struggle with a lack of relevant data for quality monitoring. Even in countries with
relatively well developed health data systems, it is often difficult to link data
with unique patient identifiers in ways that allow researchers and policy
makers to understand quality of care across different episodes of care and
different providers.
In 2010, the United Kingdom’s coalition government published a white paper,
Equity and Excellence: Liberating the NHS, which called for the measurement of
health outcomes based on a number of speci!c indicators. To achieve this goal,
England developed the NHS Outcomes Framework (Secretary of State for Health,
2014) with indicators to evaluate local health care arrangements across !ve different domains: (a) preventing people from dying prematurely; (b) enhancing the
quality of life for people with long-term conditions; (c) helping people to recover
from episodes of ill health or after injury; (d) ensuring that people have a positive
experience of care; and (e) treating and caring for people in a safe environment
and protecting them from avoidable harm.
In France, the Haute Autorité de Santé (HAS), or National Authority for
Health, was established in 2004 as an independent public organization to promote quality of health services through accreditation, certi!cation, and development of practice guidelines. Today, HAS leads the European Network for Patient
Safety (EUNetPaS), which has developed a common agenda to promote patient
safety. After a contaminated blood scandal in the early 1990s, the French government established new institutions to conduct disease surveillance and protect
the population from unsafe foods, unsafe drugs, and unsafe blood. In addition,
France’s Ministry of Health recently initiated a small number of aggressive safety
campaigns with strong patient involvement, such as one supported by TV spots to
improve the use of antibiotics in preventing the appearance of resistant bacteria.
Based on a risk-scoring system for surgical wound infections, national prevalence
rates of methicillin-resistant
Staphylococcus aureus (MRSA) in France declined
from 2001 (33%) to 2006 (27%). “ese results are impressive in comparison with
Even in countries with relatively
well developed health data
systems, it is often dif!cult to
link data with unique patient
identi!ers in ways that allow
researchers and policy makers
to understand quality of care
across different episodes of care
and different providers.
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92 Part I. Health Policy
other European countries and the United States, where MRSA infections have
increased (Degos & Rodwin, 2011).
In 1994, the Canadian government established the Canadian Institute for
Health Information (CIHI) to improve its capacity to assess the health care
system and to identify standards for health system performance. CIHI maintains 27 databases and clinical registries. !e agency receives funding from
the federal (80%) and provincial (20%) governments (Marchildon, 2013). In
2004, the federal government adopted a 10-year plan to strengthen health care.
!e plan increased federal health transfers to the provinces by 6%, and the
provinces were supposed to place greater emphasis on reducing wait times
and improving quality (Allin, 2012). Some of these funds have been used to
track and reduce wait times. !e federal government has also encouraged the
use of health technology assessment, clinical guidelines, and best practices
to enhance patient safety. Critics argue that despite the increase in attention
to quality in individual provinces, problems of access, variation, and reform
remain formidable (Lewis, 2015). Moreover, Canada lacks a “guiding framework
that supports” quality improvement in primary care (Sibbald, McPherson, &
Kothari, 2013, p. 2).
In China, the issue of quality is also central to recent policy debates, but
their starting point is radically di”erent. When the Chinese government
reduced its subsidies for health care in the late 1970s, health care organizations
and providers often turned to pharmaceutical companies to make up for these
lost revenues. Rather than focus on providing primary and preventive care, for
example, many #rst-level hospitals focused on selling drugs to patients (Wang
et al., 2011). As a result, these institutions developed a reputation for poor quality, and patients were drawn to larger hospitals and academic medical centers,
creating overcrowding problems. Part of the motivation for expanding health
insurance in China was to improve the quality of care across the entire health
care system, but this goal remains as elusive as the challenge of coordination
(Wang et al., 2011).
Criteria used to evaluate the performance of health care systems—such as
access to, cost of, and quality of health care—are often called the “three-legged
stool” of health policy. Until recently, however, quality did not receive a great deal
of attention. Since the 1970s, researchers, policy makers, and patients have been
demanding better information about quality. In the late 1990s, the U.S. Institute
of Medicine led the world in calling attention to the importance of this issue,
based on a report that uncovered disturbing evidence of problems with safety and
quality in the United States (Kohn, Corrigan, & Donaldson, 2000). In contrast,
the SARS epidemic embarrassed the Chinese government and sparked e”orts to
improve access to and the quality of care. Finding solutions to such problems has
been a challenge because stakeholders cling to existing practices and technologies, data limitations make it di$cult to measure the quality of care, and fundamental disagreements remain about the meaning of quality and how to measure
value for money in health care.
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Chapter 4. Comparative Health Systems 93
LESSONS
Based on the experience of NHI and NHS systems in the countries we have examined, we would highlight four lessons for policy makers in the United States:
■■ Achieving the goal of universal health coverage requires legislation to make such coverage compulsory.
■■ Financing broader insurance coverage in the United States—beyond Medicare and
Medicaid—requires increasing government subsidies based on ability-to-pay criteria.
■■ Health care systems with universal coverage rely increasingly on economic evaluation
of health technology as a criterion for making coverage decisions.
■■ Containing health care costs has not been achieved without greater reliance than in
the United States on price regulation and systemwide budget targets.
!e ACA represents the most signi”cant health care reform since Medicare
and Medicaid in 1965 because it has increased signi”cantly the share of the population with health insurance coverage and redistributed the burden of health care
“nancing from those who are wealthier, younger, and healthier toward those who
are poorer, older, and sicker (see Chapter 3). We would argue that this legislation
draws heavily on the “rst two lessons of comparative experience (the mandate
and the move toward ability-to-pay criteria for “nancing health care) and less
so on the third (economic evaluation of health technology), and it ignores the
fourth (greater price regulation and budget targets). !is will bring the United
States closer to other wealthy nations in terms of population coverage. Yet the
U.S. health care system continues to present some striking contrasts to most
other wealthy nations. It remains a patchwork system characterized by a complex
combination of institutions that include an enclave of socialized medicine such
as the VHA, a social insurance program (Medicare), and social welfare programs
(Medicaid and Children’s Health Insurance Program [CHIP]); tax-subsidized
employer-based private insurance for about half of the population; and heavy
reliance on out-of-pocket payment for the population that remains uninsured,
similar to the situation in China, India, and most developing nations.
!e United States has the highest per capita expenditures; the highest salaries
for physicians and other professionals making up the health care workforce; and
the highest aggregate prices for hospitals, physicians’ services, and pharmaceuticals. Despite our drive to innovate and invest in the latest medical technologies, access to high-technology services, as well as to basic primary care services,
is highly inequitable compared with other OECD nations—but not with China,
which faces not only the usual inequities among populations of di#erent income
and educational levels, but also massive inequities among its urban and rural residents and, within cities, among its registered and migrant populations.
Another way in which the U.S. health care system di#ers from that of wealthy
OECD nations concerns the vast range of health insurance products we o#er
to our population, including the option (following the ACA) of not purchasing
health insurance, albeit with a “nancial penalty. Despite the emphasis on choice
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94 Part I. Health Policy
of insurer, many people !nd themselves con!ned to obtaining health care within
restricted provider networks outside which payment for services often becomes
una”ordable. #ere is no parallel to this problem in wealthy OECD nations such
as England, Canada, and France. In China, choice of too many insurance products is not the problem. #e situation there is far worse than in the United States
because a large part of the urban migrant population (about 250 million people) is typically excluded from decent health insurance coverage. #e problem
of internal migrants in China is substantial, but not surprising, for a system that
spends only 5.5% of its GDP on health care and has only recently set the goal of
providing universal coverage.
CASE EXERCISE—EUROPEAN LESSONS LEARNED
You are an employee of a think tank in Washington, DC. The director has been asked to testify
before a congressional committee on the following question: In reforming the ACA, what lessons should the United States learn from relevant experience abroad? Your job is to write
a memorandum that will help the director answer this question. In writing this memo, you
should address the following questions:
1. How can learning from abroad help policy makers engage in a process of self-examination of health policy at home?
2. Compare the NHS and NHI systems.
3. What should members of Congress know about China’s problems and aspirations in
health policy?
4. What lessons from abroad would be most relevant in reforming the U.S. health system?
t
DISCUSSION QUESTIONS
1. What are some reasons for studying health care systems abroad?
2. How do NHI and NHS systems compare with the health care system in the United
States?
3. How do most countries with similar levels of per capita income di”er from and resemble the United States with respect to cost, quality, and access to health care?
4. What can the United States learn from other OECD countries about how to extend
health coverage while containing health care expenditures?
5. How can health system performance be measured? Compare the approaches adopted
by WHO and the Commonwealth Fund.
6. How are the problems and opportunities di”erent for China than for the United States
and other OECD countries?
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Chapter 4. Comparative Health Systems 95
REFERENCES
Aaron, H., Schwartz, W., & Cox, M. (2005). Can we say no? !e challenge of rationing health
care
. Washington, DC: Brookings Institution Press.
Allin, S. (2012). !e Canadian health care system, 2012. In S. !omson, R. Osborn, D.
Squires, & M. Jun (Eds.),
International pro”les of health care systems, 2012 (pp. 19–25).
New York, NY: !e Commonwealth Fund. Retrieved from http://apps.who.int/medicinedocs/documents/s19988en/s19988en.pdf
Angrisano, C., Farrell, D., Kocher, B., Laboissiere, M., & Parker, S. (2007, January).
Accounting for the cost of health care in the United States (Report). Retrieved from http://www.
mckinsey.com/insights/health_systems_and_services/accounting_for_the_cost_of_
health_care_in_the_united_states
Australian Department of the Treasury. (2007).
Intergenerational report 2007. Retrieved
from http://archive.treasury.gov.au/documents/1239/PDF/IGR_2007_”nal_report.pdf
Blendon, R. J., Benson, J. M., & Hero, J. O. (2014). Public trust in physicians: U.S. medicine in international perspective.
New England Journal of Medicine, 371, 1570–1572.
doi:10.1056/NEJMp1407373
Blendon, R. J., Schoen, C., DesRoches, C. M., Osborn, R., Scoles, K. L., & Zapert, K. (2002).
Inequities in health care: A “ve-country survey.
Health A#airs, 21(3), 182–191.
doi:10.1377/hltha#.21.3.182
Blumenthal, D., & Hsiao, W. (2005). Privatization and its discontents—!e evolving Chinese
health care system.
New England Journal of Medicine, 353(11), 1165–1170. doi:10.1056/
NEJMhpr051133
Bohmer, R. M. J., & Imison, C. (2013). Lessons from England’s health care workforce redesign: No quick “xes.
Health A#airs, 32(11), 2025–2031. doi:10.1377/hltha#.2013.0553
Bradley, E. H., & Taylor, L. A. (2013).
!e American health care paradox: Why spending more
is getting us less
. New York, NY: Public A#airs.
Carrier, E., Yee, T., & Stark, L. B. (2011).
Matching supply to demand: Address the U.S.
primary care workforce shortage
(NIHCR Policy Analysis No. 7). Washington, DC:
National Institute for Health Care Reform. Retrieved from https://nihcr.org/analysis/
improving-care-delivery/prevention-improving-health/pcp-workforce/
Chalkidou, K. (2009).
Comparative e#ectiveness review within the U.K.’s National Institute
for Health and Clinical Excellence
(Issue brief). New York, NY: !e Commonwealth
Fund. Retrieved from https://core.ac.uk/download/pdf/71350356.pdf
Commonwealth Fund. (2014).
Mirror, Mirror 2017: International Comparison Re$ects Flaws
and Opportunities for Better U.S. Health Care.
Retrieved from https://interactives.commonwealthfund.org/2017/july/mirror-mirror/
Cutler, D. M. (2007). !e lifetime costs and bene”ts of medical technology.
Journal of Health
Economics
, 26(6), 1081–1100. doi:10.1016/j.jhealeco.2007.09.003
de Kervasdoué, J., Kimberly, J., & Rodwin, V. G. (1984).
!e end of an illusion: !e future of
health policy in western industrialized nations
. Berkeley: University of California Press.
Degos, L., & Rodwin, V. (2011). Two faces of patient safety and care quality: A FrancoAmerican comparison.
Health Economics, Policy and Law, 6(3), 287–294. doi:10.1017/
S1744133111000107
Fineberg, H. (2012). A successful and sustainable health system—How to get there from here
[Shattuck lecture].
New England Journal of Medicine, 366(11), 1020–1027. doi:10.1056/
NEJMsa1114777
Goodman, J., Musgrave, G., & Herrick, D. (2004).
Lives at risk: Single-payer national health
insurance around the world
. Lanham, MD: Rowman & Little”eld.
Gusmano, M. K., & Allin, S. (2011). Health care for older persons in England and the United
States: A contrast of systems and values.
Journal of Health Politics, Policy and Law,
36(1), 89–118. doi:10.1215/03616878-1191117
EBSCOhost – printed on 3/8/2021 11:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
96 Part I. Health Policy
Gusmano, M. K., Rodwin, V. G., & Weisz, D. (2014). Using comparative analysis to address
health system caricatures.
International Journal of Health Services, 44(3), 547–559.
Gusmano, M. K., Weisz, D., & Rodwin, V. G. (2009). Achieving horizontal equity: Must we
have a single-payer health care system?
Journal of Health Politics, Policy and Law, 34(4),
617–633. doi:10.1215/03616878-2009–018
Hacker, J. (2006).
!e great risk shi”: !e new economic insecurity and the decline of the
American dream
. New York, NY: Oxford University Press.
Hargreaves, D. S., Greaves, F., Levay, C., Mitchell, I., Koch, U., Esch, T., … Sheikh, A. (2015).
Comparison of health care experience and access between young and older adults in 11
high-income countries.
Journal of Adolescent Health, 57, 413–420. doi:10.1016/j.jadohealth.2015.05.015
He, A. J., & Meng, Q. (2015). An interim interdisciplinary evaluation of China’s national
healthcare reform: Emerging evidence and new perspectives.
Journal of Asian Public
Policy
, 8(1), 1–18. doi:10.1080/17516234.2015.1014299
HealthForceOntario. (2014).
Family practice compensation models [Web page]. Retrieved
from http://www.healthforceontario.ca/en/Home/Physicians/Training_%7C_Practising_
Outside_Ontario/Physician_Roles/Family_Practice_Models/Family_Practice_Compensation_Models
Hipgrave, D., Guo, S., Mu, Y., Guo, Y., Yan, F., Scherpbier, R., & Brixi, H. (2012). Chinesestyle decentralization and health system reform.
PLOS Medicine, 9(11), 1–4. doi:10.1371/
journal.pmed.1001337
Huang, Y. (2011, November 1). China’s health costs outstrip G.D.P. growth.
!e New York
Times
. Retrieved from http://www.nytimes.com/roomfordebate/2011/11/01/is-china
-facing-a-health-care-crisis/chinas-health-costs-outstrip-gdp-growth
Klein, R. (1997). Learning from others: Shall the last be the !rst?
Journal of Health Politics,
Policy and Law
, 22(5), 1267–1278. doi:10.1215/03616878-22-5-1267
Klein, R. (2013).
!e new politics of the NHS (7th ed.). London, UK: Radcli”e.
Klein, R. (2018). #e National Health Service (NHS) at 70: Bevan’s double-edged legacy.
Health Economics, Policy and Law, 1–10. doi:10.1017/S1744133117000354
Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (Eds.). (2000).
To err is human: Building a
safer health system
. Washington, DC: National Academies Press.
Laugesen, M. (2018). Do other countries have a better mix of generalists and specialists?
Journal of Health Politics, Policy and Law, 43(5), 853–872. doi:10.1215/03616878-6951199
Lewis, S. (2015). A system in name only: Access, variation, and reform in Canada’s provinces.
New England Journal of Medicine, 372, 497–500. doi:10.1056/NEJMp1414409
Marchildon, G. P. (2013). Canada: Health system review.
Health Systems in Transition,
15(1), 1–179.
Marmor, T., Freeman, R., & Okma, K. (2005). Comparative perspectives and policy learning in the world of health care.
Journal of Comparative Policy Analysis: Research and
Practice
, 7(4), 331–348. doi:10.1080/13876980500319253
Marmor, T., & Oberlander, J. (2012). From HMOs to ACOs: #e quest for the holy grail in
U.S. health policy.
Journal of General Internal Medicine, 27(9), 1215–1218. doi:10.1007/
s11606-012-2024-6
Mattke, S., Epstein, A. M., & Leatherman, S. (2006). #e OECD health care quality indicators project: History and background.
International Journal for Quality in Health Care,
18(Suppl. 1), 1–4. doi:10.1093/intqhc/mzl019
Menon, D., & Sta!nski, T. (2009). Health technology assessment in Canada: 20 years strong?
Value in Health, 12(Suppl. 2), S14–S19.
Moat, K. A., Waddell, K., & Lavis, J. N. (2016).
Evidence brief: Planning for the
future health workforce of Ontario
. Hamilton, Canada: McMaster Health Forum.
Retrieved from https://macsphere.mcmaster.ca/bitstream/11375/21003/1/workforce-planning-eb.pdf
EBSCOhost – printed on 3/8/2021 11:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 4. Comparative Health Systems 97
Moon, M. (1996). Medicare now and in the future (2nd ed.). Washington, DC:!e Urban Institute.
Morone, J. A. (1993). !e health care bureaucracy: Small changes, big consequences.
Journal
of Health Politics, Policy and Law
, 18(3), 723–739. doi:10.1215/03616878-18-3-723
Mossialos, E., Wenzl, M., Osborn, R., & Sarnak, D. (2016).
International pro!les of health
care systems, 2015
. New York, NY: Commonwealth Fund. Retrieved from http://www
.commonwealthfund.org
Musgrove, P. (2003). Judging health systems: Re”ections on WHO’s methods.
“e Lancet,
361, 1817–1820. doi:10.1016/S0140-6736(03)13408-3
NHS Clinical Commissioners. (2018). About CCGs. London. Retrieved from https://www
.nhscc.org/ccgs
Nolte, E., & McKee, M. (2003). Measuring the health of nations: Analysis of mortality amenable to health care.
British Medical Journal, 327, 1129–1133. doi:10.1136/
bmj.327.7424.1129
Nolte, E., & McKee, M. (2012). In amenable mortality—deaths avoidable through health
care—progress in the U.S. lags that of three European countries.
Health A#airs, 31(9),
2114–2122. doi:10.1377/hltha#.2011.0851
Oliver, A. (2012). !e folly of cross-country ranking exercises.
Health Economics, Policy and
Law
, 7(1), 15–17. doi:10.1017/S1744133111000260
Ono, T., Lafortune, G., & Schoenstein, M. (2013).
Health workforce planning in OECD countries: A review of 26 projection models from 18 countries (OECD Health Working Papers,
No. 62). Ferney-Voltaire, France: Organisation for Economic Co-operation and Development. doi:10.1787/5k44t787zcwb-en
Or, Z. (2009).
Activity based payment in France. Euro Observer 11(4). Retrieved from http://
eurodrg.projects.tu-berlin.de/publications/Activity%20based%20payment%20in%20
France%20-%20Zeynep%20Or.pdf
Organisation for Economic Co-operation and Development. (2013).
Health at a glance 2013:
OECD indicators
. Paris, France: Author. doi:10.1787/health_glance-2013-en
Papanicolas, I., Woskie, L. R., & Jha, A. K. (2018). Health care spending in the United
States and other high-income countries.
Journal of the American Medical Association,
319
(10), 1024–1039. doi:10.1001/jama.2018.1150
Qian, J. (2015). Reallocating authority in the Chinese health system: An institutional perspective.
Journal of Asian Public Policy, 8(1), 19–35. doi:10.1080/17516234.2014.1003454
Rodwin, V. G. (1984).
“e health planning predicament: France, Québec, England, and the
United States
. Berkeley: University of California Press.
Rodwin, V. G. (2006).
Universal health insurance in France: How sustainable? Essays on
the French health care system
. Washington, DC: Embassy of France. Retrieved from
http://www.frenchamerican.org/sites/default/$les/documents/media_reports/2006_
fafreport_universalhealthinsurance.pdf
Rodwin, V. G. (2018). !e French health care system.
World Hospitals and Health Services—
Universal Health Coverage (UHC): Making Progress Towards the 2030 Targets
(special
issue on universal coverage),
54(1), 49–55. Retrieved from https://wagner.nyu.edu/
impact/research/publications/french-health-care-system
Roos, N. P., & Mustard, C. (1997). Variation in health and health care use by socioeconomic
status in Winnipeg, Canada: Does the system work well? Yes and no.
“e Milbank
Quarterly
, 75(1), 89–111. doi:10.1111/1468-0009.00045
Rosenthal, M. M., & Greiner, J. R. (1982). !e barefoot doctors of China: From political
creation to professionalization.
Human Organization, 41(4), 330–341. Retrieved from
https://www.jstor.org/stable/44126528
Roth, L. S., & Adams, P. C. (2009). Variation in physician reimbursement for endoscopy
across Canada.
Canadian Journal of Gastroenterology, 23(7), 503.
Schneider, E. C., Sarnak, D. O., Squires, D., Shah, A., & Doty, M. M. (n.d.). Mirror, mirror 2017:
International comparison health re”ects”aws and opportunities for better U.S. health care.
Retrieved from http://www.commonwealthfund.org/interactives/2017/july/mirror-mirror
EBSCOhost – printed on 3/8/2021 11:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
98 Part I. Health Policy
Schneider, E. C., & Squires, D. (2017). From last to !rst: Could the U.S. health care system become the best in the world? New England Journal of Medicine, 377, 901–904.
doi:10.1056/NEJMp1708704
Schoen, C., Osborn, R., Squires, D., Doty, M., Rasmussen, P., Pierson, R., & Applebaum,
S. (2012). A survey of primary care doctors in ten countries shows progress in use of
health information technology, less in other areas.
Health A!airs, 31(12), 2805–2816.
doi:10.1377/hltha”.2012.0884
Schreyögg, J., Stargardt, T., Tiemann, O., & Busse, R. (2006). Methods to determine reimbursement rates for diagnosis related groups (DRG): A comparison of nine European
countries.
Health Care Management Science, 9(3), 215–223. doi:10.1007/s10729-006-
9040-1
Secretary of State for Health. (2014).
Equity and excellence: Liberating the NHS. London,
England: UK Department of Health.
Shi, J., Li, R., Jiang, H., Xiao, Y., Liu, N., Wang, Z., & Shi, L. (2018). Moving towards a better
path? A mixed-method examination of China’s reforms to remedy medical corruption
from pharmaceutical !rms.
BMJ Open, 8, e018513. doi:10.1136/bmjopen-2017-018513
Sibbald, S. L., McPherson, C., & Kothari, A. (2013). Ontario primary care reform and quality
improvement activities: An environmental scan.
BMC Health Services Research, 13, 209.
doi:10.1186/1472-6963-13-209
Smith, R. D. (2006). Responding to global infectious disease outbreaks: Lessons from SARS
on the role of risk perception, communication and management.
Social Science and
Medicine
, 63, 3113–3123. doi:10.1016/j.socscimed.2006.08.004
Sorenson, C. (2009). #e role of HTA in coverage and pricing decisions: A cross-country
comparison.
Euro Observer, 11(1), 1–12.
Star!eld, B., Shi, L., & Macinko, J. (2005). Contribution of primary care to health systems and
health.
“e Milbank Quarterly, 83(3), 457–502. doi:10.1111/j.1468-0009.2005.00409.x
#omson, S., Osborn, R., Squires, D., & Reed, S. J. (2012).
International pro#les of health care
systems
. New York, NY: #e Commonwealth Fund.
Valentine, V. (2005, November 4). Health for the masses: China’s “barefoot doctors” [Radio
broadcast].
National Public Radio. Retrieved from https://www.npr.org/templates/
story/story.php?storyId=4990242
van Doorslaer, E., & Masseria, C. (2004).
Income-related inequality in the use of medical care
in 21 OECD countries
(OECD Health Working Papers, 14). Paris, France: Organisation
for Economic Co-operation and Development. doi:10.1787/687501760705
Wang, H., Gusmano, M. K., & Cao, Q. (2011). Evaluation of the policy on community health
organizations in China: Will the priority of new healthcare reform in China be a success?
Health Policy, 99(1), 37–43. doi:10.1016/j.healthpol.2010.07.003
Warshaw, G. A., & Bragg, E. J. (2014). Preparing the health care workforce to care for
adults with Alzheimer’s disease and related dementias.
Health A!airs, 33(4), 633–641.
doi:10.1377/hltha”.2013.1232
Williams, A. (2001). Science or marketing at WHO? A commentary on ‘World Health 2000.’
Health Economics, 10, 93–100. doi:10.1002/hec.594
World Health Organization. (2000). World health report 2000. Retrieved from http://www
.who.int/whr/2001/archives/2000/en/index.htm
World Health Organization. (2008).
World health report 2000 – Health systems: improving performance. Geneva, Switzerland: Author. Retrieved from https://www.who.int/
whr/2000/en/
Yip, W. C. M., Hsiao, W., Meng, Q., Chen, W., & Sun, X. (2010). Realignment of incentives
for health-care providers in China.
“e Lancet, 375(9720), 1120–1130. doi:10.1016/
S0140-6736(10)60063-3
Zweifel, P., Felder, S., & Meiers, M. (1999). Ageing of population and health care expenditure: A red herring?
Health Economics, 8, 485–496. doi:10.1002/(SICI)1099-
1050(199909)8:6<485::AID-HEC461>3.0.CO;2-4
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5
Population Health
Pamela G. Russo and Marc N. Gourevitch
LEARNING OBJECTIVES
Understand the differences between the medical and population health
models of producing health, including the difference between the concepts of
health care and health
Explain how the two models lead to different strategies for interventions to
prevent disease and improve health
Learn about the differential importance of various health determinants
Review the evidence regarding social and physical environmental influences
on behavior and on health outcomes
Review the variation in health and life expectancy between counties and
between countries
Describe innovative synergistic approaches that integrate the clinical and
population models
KEY TERMS
cross-sectoral collaborative approaches
determinants of health
dose-response effect
health care
medical model
medically indigent
multiple determinants of health
neighborhood effects
reverse causality
social determinants of health
© Springer Publishing Company DOI: 10.1891/9780826172730.0005
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

102 Part II. Keeping Americans Healthy
TOPICAL OUTLINE
The population health model
The medical model
Comparing the medical and population health models
The influence of social determinants on health behavior and outcomes
Leading determinants of health: weighting the different domains
Health policy and return on investment
INTRODUCTION
Much of this book concerns what happens within the walls of health care
institutions—hospitals, clinics, physician o!ces, and long-term care facilities.
Taking a more macro-level perspective,
however, reveals that health care is but one
of many factors that contribute to physical
and mental health in a population or society.
Other determinants—education and income,
genetics, behaviors, and environmental
exposures—are responsible for much of the health, or disease, in a population. In
fact, the e”ects of the systematic di”erences in
health care are far smaller than
the e”ects of the nonrandom di”erences in other determinants of health on a
population’s overall health outcomes. #ese in$uences
outside the health care
system greatly in$uence which groups of people are more likely to become ill in
the %rst place, to be injured, or to die early. #ese in$uences also help determine
people’s health care outcomes once they become sick, injured, or disabled. #is
chapter addresses the changes in health care and public policy emerging from the
growing appreciation of the profound in$uences on the population’s health that
occur
outside the health care system, where the vast majority of people—or patients,
from a health care perspective—spend the overwhelming majority of their time.
#e notion that health is in$uenced by factors outside the health care
system is of course not new. Why, then, is it receiving renewed attention? More
than anything else, growing attention to population health re$ects widening
acceptance of, and mounting frustration with, the poor performance of the
United States on many indicators of health despite its excellence in many aspects
of health care. Decades of studies and reports have documented conclusively
that even in the face of unsustainably high spending on health care, the health of
the U.S. population lags behind that of nearly every other peer country (National
Research Council and Institute of Medicine, 2013). Armed with the more recent
understanding that countries with a higher ratio of social service to health care
spending have healthier populations (Bradley, Elkins, Herrin, & Elbel, 2011)
The physical and mental
health of our communities is
affected by more than just
health care.*
*To hear the podcast, go to https://bcove.video/2QEZxWe or access the ebook on Springer Publishing ConnectTM.
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Chapter 5. Population Health 103
and that inadequately addressed social factors are signi!cant drivers of health
care spending, policy makers are coming around to the notion that addressing
social determinants of health must be part of the solution to achieving national
health goals and health care cost-savings goals. Should policy makers seeking
to improve population health simply sidestep the health care sector if it
contributes only modestly to health at a societal level? Doing so would likely be
short-sighted, since health care is the sector in which resources earmarked for
health are almost exclusively concentrated in the United States. How, then, are
we to bridge the health care sector’s focus on and resources for health, with an
understanding of the broader societal factors that in fact determine so much
of health and disease? “erein lies the core challenge of the emerging !eld of
population health.
THE POPULATION HEALTH MODEL
Population health employs an integrative model in understanding and seeking
to improve the health of groups of people, acknowledging that di#erent factors
intersect and combine to produce good or poor health. “e population health
model seeks to explain and intervene in the causes of the systematic di#erences in
health between di#erent groups (Kindig & Stoddart, 2003). To do so, it analyzes
the patterns or distribution of health between di#erent groups of people in order
to identify and understand factors leading to di#erences in outcomes. “ese
factors are often described as “upstream” causes in the sense that they in$uence
health through a series of pathways that may not be immediately visible (see also
Chapter 7).
Population health scientists use the term
determinants of health rather
than
factor or cause, and they use the term multiple determinants of health to
describe the determinants that arise from !ve important domains:
■■ “e social and economic environment—factors such as income, education, employment, social support, and culture (often referred to as the social determinants of
health
, or SDOH)
■■ “e physical environment, including urban design, housing, availability of healthy
foods, air and water safety, exposure to environmental toxins
■■ Genetics (and, more recently, epigenetics—the study of gene–environment interactions)
■■ Medical care, including prevention, treatment, and disease management
■■ Health-related behaviors, such as smoking, exercise, and diet, which in turn are shaped
by all of the preceding determinants
Health is therefore conceptualized as the result of exposure to di#erent patterns of these multiple determinants (Figure 5.1). Over the past 40 years, a signi!-
cant body of knowledge has developed that demonstrates the profound e#ects of
multiple determinants from di#erent domains as well as the interactions among
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104 Part II. Keeping Americans Healthy
them, their e!ects at di!erent stages in the life course from gestation to old age,
and their cumulative e!ects. Although the determinant categories are listed independently, they have substantial and complex interactions over the life course of
an individual or group.
Some health care outcomes can, in turn, a!ect the determinants; that is,
they can have a
reverse causality e!ect on determinants. For example, whereas
social determinants such as income have an e!ect on outcomes, the outcome
of being unhealthy also can have a negative e!ect on income (Kindig & Chin,
2009).
THE MEDICAL MODEL
In contrast to the population health model, the medical model hones in
on individuals, focusing on the factors most immediately linked to the
pathophysiology underlying a person’s disease. It is a reductionist model in
the sense that it searches for the molecular and physiological mechanisms
that explain how speci”c factors produce illness or act as markers of incipient
disease. In turn, the therapeutic ideal is to “nd the “silver bullet” that will
FIGURE 5.1 A GUIDE TO THINKING ABOUT DETERMINANTS OF POPULATION HEALTH
Source: Institute of Medicine. (2003). !e future of the public’s health in the 21st century (p. 52). Washington,
DC: National Academies Press. Reproduced with permission from National Academies Press, Copyright
2002, National Academy of Sciences.
Broad social, economic, cultural,
health, and environmental conditions
and policies at the global, national,
state, and local levels
O V E R T H E L I F E S P A N
Innate Individual Traits:
Age, sex, race, and
biological factors
–––
The biology
of disease
Living and working conditions
may include:
• Psychosocial factors
• Employment status and
occupational factors
• Socioeconomic status
(income, education,
occupation)
• The natural and built
environments
• Public health services
• Health care services
Individual
Behavior
Social,
Family, and Community
Networks
Living and Working
Conditions
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Chapter 5. Population Health 105
85
80
75
70
65
HEALTH SPENDING PER CAPITA (US$)
LIFE EXPECTANCY (YEARS)
R2 = 0.51
IND
RUS
BRA
MEX
HUN
SVK
DNK DEU
CAN
LUX
NLD NOR
USA
CHE
FRA AUT
SUE
PRT
ESP
NZL
FIN
IRL BEL
ITA JPN
ISL AUS
GBR
ISR
CHL GRC CZE SVN
KOR
EST
POL
TUR
CHN
IDN
0 1000 2000 3000 4000 5000 6000 7000 8000 9000
Source: Organisation for Economic Co-operation and Development. (2013). Health at a glance. Paris, France:
Author. doi: 10.1787/health_glance-2013-en
FIGURE 5.2 ASSOCIATION BETWEEN HEALTH SPENDING AND LIFE EXPECTANCY
stop or reverse those mechanisms and thus cure or prevent progression of the
current medical problem.
!e medical model frames risk factors as working through disease-speci”c
pathways and typically analyzes risk factors as if they were independent in statistical modeling. !e medical model considers how di#erent biological systems
within the individual interact—for example, the endocrine system and the cardiovascular system—but the lens remains focused on the body.
Health care is generally reactive, meaning that it responds to abnormality, disease, or injury, and as a result has been characterized as a “sickness care
system” (Evans, Barer, & Marmor, 1994). Health care has traditionally been
delivered (and reimbursed) in acute episodes and has placed less value on and
provided less reimbursement for e#orts to promote health or to prevent illness
and injury. Although health care has achieved great strides in diagnosing, treating, and in some cases curing illness and injury, and although new knowledge
and technology are constantly increasing the capacity to preserve life, relieve
su#ering, and maintain or restore function, Americans’ chances for living long
and healthy lives are not improving, despite ever-greater U.S. spending on health
care (Figure 5.2).
!e United States is the outlier point on the far right—the highest health
care spending—yet Americans’ probability of survival to age 80 is lower than
that of other developed countries. !is marked discrepancy between the highest
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106 Part II. Keeping Americans Healthy
spending on health care and poorer survival rates is referred to as “the U.S. health
disadvantage” (National Research Council and Institute of Medicine, 2013). !e
di”erences between the medical and population health models can help explain
the reasons for the disparity between the United States and other developed
countries as well as the severe disparities within the United States among di”erent populations.
COMPARING THE MEDICAL AND POPULATION HEALTH MODELS
Consider two examples, obesity and tobacco use, that illustrate the di”erent explanatory and intervention approaches of the medical model versus
the population health model. In the medical model, when an adolescent with
obesity visits a health care provider, the
provider will likely assess the patient’s
family history, diet, and physical activity.
!ese may be followed by laboratory tests
to rule out hormonal or other physiological causes for obesity and to check for diabetes and other consequences of extreme
overweight. Interventions are likely to include referrals to nutritionists and
recommendations for decreasing calories and increasing physical activity,
with regular monitoring. In very serious cases (morbid obesity) or with failure
to achieve weight loss through these means, the patient may be referred for
bariatric surgery.
!e medical model does not focus on
why an epidemic of obesity has occurred
over the past 30 years or investigate why there are higher rates of obesity in lowincome and minority populations or grapple with the circumstances that make it
di#cult for many patients to comply with medical recommendations for eating
less and exercising more.
In contrast, the population health model has identi$ed a wide variety of
causes that have worked synergistically—an unintended conspiracy of causes
over time—to produce the high rates and di”ering patterns of obesity observed
among population groups. Such causes may include:
■■ Higher density in low-income neighborhoods of fast-food restaurants, which o”er
high-calorie, high-fat, low-nutrient, supersized meals at low prices
■■ !e presence of vending machines that sell high-calorie soft drinks as a source of
needed revenue in schools
■■ Subsidized school lunches with high caloric and fat content—a result of agricultural
policies
■■ !e decrease in physical education classes and near-elimination of recess periods,
due to shrinking school budgets and a narrow focus on meeting academic test score
requirements
■■ Fewer children and adults walking or bicycling to school or other destinations, due in
part to the lack of sidewalks, safe pedestrian crossings, and bicycle lanes
The medical model does not
focus on
why an epidemic of
obesity has occurred over the
past 30 years.
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Chapter 5. Population Health 107
■■ Fewer safe places to play or walk in urban, low-income neighborhoods
■■ A lack of grocery stores with healthy food options such as fresh fruit and vegetables
in many neighborhoods, due to the higher cost and lower pro!t margins of these
foods
■■ Marketing obesogenic foods to children
“ese social and physical environmental determinants strongly limit people’s
behavioral choices. It is di#cult to achieve lasting lifestyle behavioral changes
among people who
do have the economic resources to join gyms, have child care
while they exercise, and a$ord healthier food choices. Such goals are more challenging still when healthy choices are largely beyond !nancial reach.
In a population health framework, relevant interventions could include
zoning law changes; menu labeling; working with fast-food industries to provide
healthier, but low-cost menu options; educational policies that encourage healthy
food choices and increased physical activity in schools and after school; and so
on. Such interventions are not traditionally considered part of the health care
arena. Making the healthy choice the easier choice is not always su#cient; programs to change behavior boost the chances that people will make those healthy
choices their default choices. Such programs might include workplace or community programs to encourage physical activity in the form of walking, bicycling,
or other exercise or cooking classes using nutritious, a$ordable, noncalorie-dense
foods.
Tobacco use o$ers a second example. In the medical model, the focus is on
individual patients who smoke or chew tobacco. “e solution is framed in individual terms and is geared toward behavioral change through cessation counseling and nicotine replacement options. Success requires having access to providers
who support and encourage cessation (see Chapter 7).
In the population health model, the understanding of the problem includes
the in%uences of tobacco production, advertising, distribution, and patterns of
use in di$erent groups, as well as the policies used to intervene include smokefree laws, tobacco taxes, and regulation of advertising and marketing. “ese
population-wide policy changes have changed U.S. social norms regarding
the acceptability of tobacco use and led to dramatic decreases in the rate of
smoking.
As with programs to increase physical activity and healthy eating, policy
changes to reduce smoking are usually coupled with increases in access to cessation programs at the community level, such as free quitlines and free nicotine
patches, which assist smokers in quitting. “e population health model also
enables targeting policies toward groups with the highest rates of tobacco use,
and it responds to tobacco industry actions to redirect their advertising from the
more a&uent smokers who are able to access cessation programs to new, more
susceptible markets, including youth, minorities, and people in developing countries (Kreuter & Lezin, 2001).
In short, key determinants of health are often shaped by policies and programs in sectors not traditionally considered as residing within the health care
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108 Part II. Keeping Americans Healthy
sector. In the obesity example above, the education sector is key to changes in
school environments. Changes in zoning laws can alter the proximity of fast-food
restaurants or liquor stores to schools or parks.
Cross-sectoral collaborative
approaches
are essential to addressing underlying causes of poor health and
therefore to improving health and health equity at the population level.
THE INFLUENCE OF SOCIAL DETERMINANTS ON
HEALTH BEHAVIOR AND OUTCOMES
!e medical model is well accepted and respected by health care providers and
by basic science, clinical, and health services researchers. Indeed, medical knowledge is widely viewed as grounded in “hard science” and thus re”ecting “truth”
about the causes of disease. !e population health model, conversely, with its
inclusion of social science and diverse methods and data sources, is less widely
perceived as scienti#cally rigorous. While few may doubt that poverty and lack
of education are associated with worse health—as the Australian-born population health researcher John Lynch says, population health is the “science of the
bleedin’ obvious”—many are not aware of the magnitude and rigor of the scienti#c evidence underlying these #ndings or of the e$ectiveness of associated
population-level interventions.
In fact, substantial advances have been made in de#ning the pathways by
which social determinants in”uence health—in other words, how these factors
“get under the skin”—using a wide variety of research methods, from experimental psychology and neuroimaging, to exploring the pathophysiology of how
chronic stress causes in”ammation, to epigenetics. For a comprehensive review
of the research on the interaction between social determinants and human biology, see Adler and Stewart (2010).
Early and important research on health determinants was based on epidemiological #ndings linking morbidity and mortality to socioeconomic status,
de#ned by education, income, or occupational status. One of the earliest studies
to demonstrate the importance of such factors was Michael Marmot’s Whitehall
study, a longitudinal study conducted over two decades with results reported
throughout the 1970s and 1980s (Evans et al., 1994). !e British data were especially enlightening because they included a measure of social class, based on
occupation.
!e Whitehall study collected extensive information on more than 10,000
British civil servants, from the lowest rung of the income and rank hierarchy to
the highest. Marmot found that the likelihood of death was about
three and a half
times higher
for those in the lowest status rank (clerical and manual workers) than
for those in the highest administrative jobs. Mortality rates increased steadily
with every reduction in rank.
Such a steady increase is known as a gradient in the population health
model and a
dose-response effect in the medical model, where it is taken
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Chapter 5. Population Health 109
as evidence of a robust relationship between causal factor and outcome. All
of the workers in this population had steady, paying jobs, and none had high
exposure to work-related toxins or other risks in the physical environment.
All had access to the British National Health System. The gradient in
heart disease mortality continued to be present after adjusting the data for
different rates of smoking, high blood pressure, and high cholesterol. In
other words, after controlling for the traditional medical model risk factors,
the 3:1 difference in death rate by social class could not be explained away.
Marmot and others went on to investigate the role of stress associated with
occupational rank.
Decades of study of the stress response have rigorously demonstrated its
negative impact on health, mediated by multiple physiological pathways. A wide
variety of stressful stimuli have been studied, including social subordination,
lack of job control, discrimination, social isolation, economic insecurity, job loss,
and bankruptcy. More recently, the impact of racism has also been studied in
this framework. A proposed common pathway is that greater exposure to stress
over time leads to chronic activation of physiological responses that, by virtue of
resulting conditions (e.g., neurophysiological adaptations, elevated blood pressure, heightened in!ammatory responses), result in elevated rates of morbidity
and mortality. For example, babies born to mothers who fear targeting by immigration raids are more likely to be of low birth weight (Novak, Geronimus, &
Martinez-Cardoso, 2017).
Scientists increasingly recognize that the mechanisms by which social determinants act depend on the context in which people encounter stressful events.
One area of research focuses on
neighborhood effects, which include the interaction of social and physical environmental determinants; for example, the negative interaction between the physical environment (poor housing, presence of
crime and violence, absence of stores with healthy foods) and social determinants
related to poverty.
Data on the links between social factors and health and the wide variations
in health among groups can be found in a report from the Robert Wood Johnson
Foundation Commission to Build a Healthier America (2014), a national, independent, nonpartisan group of leaders who investigated how factors outside the
health care system shape and a”ect opportunities to live healthy lives. #e Commission’s team of researchers compared average life expectancy by county and
found signi$cant variations. For example, the average life expectancy in Wolfe
County, Kentucky, is 70 years, compared with 78 years in nearby Fayette County—
a di”erence of 8 years. Such $ndings of stark di”erences in life expectancy or other
health outcome according to race/ethnicity, gender, sex, sexual orientation, place,
and income have focused attention on the goal of achieving health equity. Health
inequities “systematically put groups of people who are already socially disadvantaged (e.g., by virtue of being poor, female, and/or members of a disenfranchised
racial, ethnic, or religious group) at further disadvantage with respect to their
health” (Braveman & Gruskin, 2003). Building toward health equity, therefore,
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110 Part II. Keeping Americans Healthy
requires incorporating an intentional focus on combatting underlying causes of
inequity—from structural racism to lack of parity in wages to underinvestment in
early childhood education—into initiatives to improve population health.
Two of the most predictive factors of life expectancy are income and degree
of education. Examination of the relationship between measures of education
and income on U.S. life expectancy showed that:
■■ College graduates can expect to live at least 5 years longer than those who did not
complete high school.
■■ !e gap in life expectancy between the richest 1% and poorest 1% of individuals in
the United States is 14.8 years for men and 10.2 years for women (Chetty et al., 2016).
By way of context, in 2017, the federal poverty level (FPL) was $20,780 for a family of
three.
■■ Even middle-income Americans can expect to live shorter lives than those with higher
incomes, whether or not they have health insurance.
!e Commission also examined the relationships among health status, educational attainment, and racial or ethnic group. !e measure of health status was a
self-reported assessment of one’s own health as excellent, very good, good, fair, or
poor. Self-reported health status corresponds closely with assessments made by
health professionals. Indeed, among adults studied by the Commission’s research
team, those who reported being in less than very good health had rates of diabetes and cardiovascular disease more than “ve times as high as the rates for adults
who reported being in very good or excellent health. Additional highlights of the
Commission’s results include:
■■ Overall, 45% of adults ages 25 to 74 reported being in less than very good health, with
rates varying among states from 35% to 53%.
■■ Adults with less than high school degrees were more than two to three times as likely to
be in less than very good health than college graduates. !ere was also a clear gradient
in health by educational level.
■■ Health status varied across racial or ethnic groups; non-Hispanic Whites were more
likely to be in very good or excellent health than other groups nationally and in almost
every state. In some states, non-Hispanic Black and Hispanic adults were
more than
twice
as likely as White adults to be in less than very good health.
■■ Analyzing both social factors simultaneously, non-Hispanic Whites had better health
status than adults in any other racial or ethnic group
at every level of education. !e
gradient in health by educational level within each racial or ethnic group is shown in
Figure 5.3.
Educational attainment may in#uence healthy choices and better health via
multiple pathways. For example, people with more schooling may have a better
understanding of the importance of speci”c healthy behaviors, or higher educational attainment may lead to higher-paying jobs with greater economic security, healthier working conditions, better bene”ts, and greater ability to purchase
more nutritious foods and live in a safe neighborhood with good schools and
recreational facilities. Figure 5.4 demonstrates that behavior and education both
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Chapter 5. Population Health 111

72.7
82.2
54.7
84.1
67.2
54.1
70.4
59.4
48.6
70.6
60.9
57.5
71.0
57.5
49.7
69.4
50.0
Less than high-school graduate
High-school graduate
Some college
College graduate
43.6 41.0 39.5 41.8 36.5 41.4
26.7

Black,
Non-Hispanic
Hispanic Asian American Indian
or Alaska Native
Percent of Adults Ages 25–74 Years,
in Less Than Very Good Health
Other White,
Non-Hispanic
U.S.
Overall
National
Benchmark
45.2
19.0
Source: Robert Wood Johnson Foundation Commission to Build a Healthier America (2009). Beyond health
care
: New directions to a healthier America. Princeton, NJ: Robert Wood Johnson Foundation.
FIGURE 5.3 GRADIENTS WITHIN GRADIENTS
a!ect health: At every level of educational attainment, adults who smoke and do
not participate in leisure-time exercise are less likely to be in very good health
than adults who do not smoke and do get exercise.
Similar to educational attainment, racial discrimination can a!ect health via
multiple pathways. A substantial base of evidence exists regarding the e!ect of
di!erent policies on both discrimination and health. Exposure to discrimination
in and of itself provokes a physiological stress response in the lab, and repeated or
sustained exposure leads to chronic, unhealthful activation of the stress response.
A variety of policies have combined to maintain or worsen Black–White segregation by neighborhood, despite the civil rights legislation of the 1960s. Residential
segregation in”uences diverse social determinants of health, including educational and employment opportunities, access to safe and a!ordable housing, routine opportunities for physical activity, food “deserts” with scarce access to fresh
healthy foods, and exposure to violence. #ere is strong evidence that reducing
or eliminating residential segregation would substantially diminish Black–White
di!erences in income, education, and unemployment, and in turn racial disparities in health (Williams & Collins, 2001).
As noted earlier, the population health model calls for integration of the
multiple determinants of health, with consideration of both negative and positive interactions among di!erent factors. #e relationships between socioeconomic status and health are complicated, but the most persistent disparities in
health between groups clearly involve the intersection of multiple types of social
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112 Part II. Keeping Americans Healthy
Less Than
High-School
Graduate

Adults without healthy behaviors
Adults with healthy behaviors
79.5
62.0
56.1
73.1
44.8
37.5
25.6

Percent of Adults Ages 25–74 Years,
in Less Than Very Good Health
Some College College
Graduate
46.8
National
Benchmark
19.0
U.S.
Overall
45.2
Source: Robert Wood Johnson Foundation Commission to Build a Healthier America (2009). Beyond health
care
: New directions to a healthier America. Princeton, NJ: Robert Wood Johnson Foundation.
FIGURE 5.4 HEALTH-RELATED BEHAVIORS AND EDUCATION BOTH AFFECT HEALTH
disadvantages (Adler & Stewart, 2010). !e interconnected nature of social categorizations such as race, class, and gender as they apply to a given individual
or group result in overlapping and interdependent systems of discrimination or
disadvantage, as described by the concept of “intersectionality” (Schulz & Mullings, 2006).
LEADING DETERMINANTS OF HEALTH: WEIGHTING
THE DIFFERENT DOMAINS
!e “ve di#erent domains or categories of health determinants, described earlier in this chapter, do not make equal contributions to the health outcomes of
populations. !is is not “new news.” In the 1970s, !omas McKeown (1976)
concluded that improved health and longevity in England over the previous 200
years resulted from changes in food supplies, sanitary conditions, and smaller family sizes, rather than medical interventions.
In the United States, John Bunker and colleagues (1995) estimated that during the
20th century, medical care explained only
5 of the 30-year increase in life expectancy
During the 20th century,
medical care explained only 5
of the 30-year increase in life
expectancy.
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Chapter 5. Population Health 113
and, between 1950 and 1990, when many new therapies were developed for infectious diseases and heart disease, medical care accounted for only 3 of the 7 years
of life expectancy increase.
Medical care also can be responsible for
increasing mortality rates. A 2000
Institute of Medicine (IOM) report publicized the startling !nding that medical
errors accounted for approximately 2% to 4% of U.S. deaths annually (Kohn, Corrigan, & Donaldson, 2000), placing medical error among the top causes of death
(Bleich, 2005).
“ere was a period of time in the 1990s during which medical scientists
expected that genetics could explain much of the variation in health between
groups and individuals, yet the role of genetics in understanding such variation
remains unresolved. Recent initiatives to study genetic factors at the population
level, such as the National Institutes of Health (NIH) – sponsored All of Us project to enroll 1 million individuals in a cohort study collecting data on multiple
domains of health, will deepen knowledge on this important front.
Health behaviors (e.g., smoking, physical activity, substance abuse, sexual
activity, diet) are considered major determinants of health in both the medical and
population health models. Analysis of data from 22 European countries showed
that variations in health disparities could be attributed to variations in smoking,
alcohol consumption, and access to care but that the patterns of determinants of
inequality were di#erent for men and women, by country, and by which outcome
was measured (Mackenbach et al., 2008).
“e best weighting scheme to determine the combined e#ects of determinants from di#erent domains depends on the health outcome of interest. Some
outcomes will be more dependent on certain determinants than on others.
Researchers have therefore estimated the relative contributions of the multiple
determinants of health through what are called
summary measures of mortality
and morbidity—that is, measures that summarize the length and quality of life.
Signi!cant progress has been made in accumulating the empirical data that can
yield the best approximations of the relative weights of each domain on summary
health outcomes.
McGinnis and Foege (1993) reviewed the relevant literature from 1977 to
1993 to analyze the leading causes of U.S. deaths. “ey concluded that approximately
half of all deaths in 1990 were due to key behavioral factors, led by tobacco
use and followed by diet and physical activity. Related estimates included that
about 40% of deaths were caused by behavioral factors, 30% by genetics, 15%
by social determinants, 10% by medical care, and 5% by physical environmental
exposures. Ten years later, an IOM (2003) analysis revised the 1990 estimate of
50% of all deaths upward to 70% of all deaths being due to key behavioral and
environmental factors. “e Centers for Disease Control and Prevention (CDC)
updated the McGinnis and Foege analysis and concluded that smoking remained
the leading cause of preventable deaths, followed by poor diet and lack of physical activity (Mokdad, Marks, Stroup, & Gerberding, 2005).
“e annual national
County Health Rankings report, !rst launched in 2010,
ranks the overall health of every county within each of the 50 states and reports
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114 Part II. Keeping Americans Healthy

CLINICAL
CARE
20%
PHYSICAL
ENVIRONMENT
10%
SOCIAL &
ECONOMIC
FACTORS
40%
HEALTH
BEHAVIORS
30%

PROGRAMS
AND POLICIES
HEALTH
FACTORS

MORTALITY
(LENGTH OF LIFE)
50%
MORBIDITY
(QUALITY OF LIFE)
50%

HEALTH
OUTCOMES
EDUCATION
EMPLOYMENT
INCOME
FAMILY & SOCIAL SUPPORT
COMMUNITY SAFETY
ENVIRONMENTAL QUALITY
BUILT ENVIRONMENT
ACCESS TO CARE
QUALITY OF CARE
TOBACCO USE
DIET & EXERCISE
ALCOHOL USE
UNSAFE SEX
Source: University of Wisconsin Population Health Institute (2010). County Health Rankings and Roadmaps 2018. Retrieved from http://www.countyhealthrankings.org/county-health-rankings-model
FIGURE 5.5 COUNTY HEALTH RANKINGS MODEL
the contribution of the multiple determinants of health on each county’s overall
health using a population health framework. Health outcomes are viewed as the
result of a combined set of factors, and these factors are also a!ected by conditions, policies, and programs in their communities. “e report is based on a
model that compares overall rankings on health outcomes with rankings on different health factors (Figure 5.5).
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Chapter 5. Population Health 115
!e County Health Rankings report estimates the in”uence on health and longevity of (a) health behaviors at 30%, (b) clinical care at 20%, (c) social and economic factors at 40%, and (d) physical environmental factors at 10%. !ough there
is a range of opinion on the merits of accounting for all causes of health and disease
in such models (Krieger, 2017), the rankings have powerfully demonstrated dramatic variation between one county and another in health outcomes and in health
determinants. !is variation is even greater than the variation in health care expenditures and health care outcomes that has been demonstrated over many years
by health service researchers. For example, the premature death rate in the least
healthy counties was two and one half times greater than in the healthiest counties.
!e bottom-line message of the
County Health Rankings project is that where
people live matters to their health. !e population health framework enables
communities to see which factors are contributing the most to their poor or good
health outcomes, and thus choose to act to improve the factors a#ecting health,
vitality, and productivity of all community residents.
HEALTH POLICY AND RETURNS ON INVESTMENT
In a logical world, the more that is known about the causes of a signi$cant problem, the more resources would be allocated toward reducing the most important
of those causes. In the United States, two-thirds of what we spend on health care
is attributable to diseases that are preventable. But we invest less than 5% of our
more than $3 trillion annual health spending on e#orts to prevent these illnesses,
whereas 95% goes to direct medical care.
Yet, for the reasons set forth above, only
perhaps 10% to 15% of preventable deaths
could be avoided by increasing the availability or quality of medical care.
!e population health model suggests
that investments and policy decisions in
areas that are not traditionally considered
the province of health care are more likely
to have a signi$cant e#ect on improving a
population’s health than increased spending
on medical services. Indeed, the share of the
U.S. GDP that is spent by the health care sector on processes, tests, and treatment of little value has been likened to theft from other sectors such as education,
in which comparable investment could have a far more profound and enduring
impact on health (Berwick & Hackbarth, 2012). An excellent review of the challenges and e#ect on health of policies in the areas of education, income transfer,
civil rights, macroeconomics and employment, welfare, housing, and neighborhoods is provided in a comprehensive text by Schoeni, House, Kaplan, & Pollack
(2008).
Researchers are only beginning to be able to provide the evidence to guide
policy makers regarding the comparative e#ectiveness and costs of speci$c
The population health model
suggests that investments and
policy decisions in areas that are
not traditionally considered the
province of health care are more
likely to have a signi!cant effect
on improving a population’s
health than increased spending
on medical services.
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116 Part II. Keeping Americans Healthy
investment choices across the !ve categories of health determinants, re”ecting in
part methodologic challenges arising from interactions among determinants, the
latency over time of their e#ects, and the sparsity of robust longitudinal data sets.
Nevertheless, this evidence base is growing rapidly, as shown by research estimating that correcting disparities in education-associated mortality rates would
have averted eight times more deaths than improvements attributable to medical
advances between 1996 and 2002 (Woolf, Johnson, Phillips, & Philipsen, 2007).
Another example comes from a study by the Urban Institute, which calculated
the return on investment for prevention and concluded that an investment of $10
per person per year in proven community-based programs to increase physical
activity, improve nutrition, and prevent smoking and other tobacco use could
save the country more than $16 billion annually within !ve years. $is is a return
of $5.60 for every $1 invested (Trust for America’s Health, 2008).
$e Robert Wood Johnson Foundation Commission to Build a Healthier
America delivered a series of evidence-based policy recommendations to improve
health, including the following:
■■ Provide high-quality early developmental services and support for all children.
■■ Fund and design the Special Supplemental Nutrition Program for Women, Infants,
and Children (WIC) and the Supplemental Nutrition Assistance Program (SNAP, also
known as food stamps) programs to meet the need of hungry families for nutritious
food.
■■ Eliminate so-called food deserts through public–private partnerships.
■■ Require healthy foods and physical activity in all schools (K–12).
■■ Ensure that decision makers in all sectors have the evidence they need to build health
into public and private policies and practices.
$e last strategy underscores the need to consider the health e#ects of policies,
programs, and projects in sectors not traditionally thought of as a#ecting health.
$is can be achieved through the use of health impact assessments (HIAs; www
.healthimpactproject.org), which have a long history of use in the same countries
that have led the way in developing and acting upon the population health model.
HIAs have been used in a wide variety of decisions regarding transportation,
housing, zoning, and other aspects of the built environment and more recently
have been used to address social policies related to education, labor, criminal
justice, segregation, and other areas. HIAs are one of the tools that can be used to
bring a health lens to policy, program, and project decisions made in nonhealth
sectors, an approach known as health in all policies (HIAP).
While population health interventions have the potential to create much
greater improvements in the health of Americans than further spending increases
for medical services, a core challenge is to !nd sustainable approaches to !nancing them. Over the past 5 years, a number of innovative methods have been implemented to direct funding to community-level prevention initiatives addressing
social, physical, and economic environments. One model is a wellness trust: a
fund set aside speci!cally to support population-wide interventions or policies.
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Chapter 5. Population Health 117
Funds for a wellness trust can come from a number of sources, such as a tax on
insurers or hospitals, as was done in Massachusetts in 2013. Another innovation
is a variation on social impact bonds as health impact bonds (also referred to as
Pay for Success). Capital is raised from private investors to implement community or state prevention interventions, and the resulting health care cost savings
are returned to the investors as break-even or pro!t. A number of health impact
bonds are in progress, including home remediation of mold and other triggers of
childhood asthma to reduce unnecessary hospitalizations and emergency room
visits for asthma in multiple communities, or improving birth outcomes through
the Nurse-Family Partnership in South Carolina.
Another potential source of funding is community bene!t spending by
nonpro!t hospitals. Since the 1950s, to keep their tax-exempt status, nonpro!t
hospitals have owed certain duties to the community, largely focusing on providing charity care to the
medically indigent. Concurrently with the passage of
the Patient Protection and A”ordable Care Act (ACA), amendments were made
to the Internal Revenue Service code that increased the rigor and consistency
of hospital reporting, requiring hospitals to perform a community health needs
assessment every 3 years with collaboration from public health experts and the
community and to use the resulting !ndings as the basis for conducting community health improvement activities. Such activities can include investments
in community-based health services that are furnished outside of and are not
billable by the hospital, as well as more upstream interventions addressing social
and physical environmental determinants like investing in housing to improve
health. #ese ACA-based changes have stimulated increased collaboration by
many hospitals with public health and community partners, although the degree
to which hospitals are committing funds to identi!ed community priorities varies widely.
Other innovations include the concept of a “health dividend,” which refers
to the opportunity cost of waste in health care spending, estimated at $750 billion per year. If this waste could be eliminated and the funding recaptured, the
money could be used to improve key determinants of population health—for
example by investing in education, job training, or improving the built environment (McCullough, Zimmerman, Fielding, & Teutsch, 2012).
Additional potential population health !nancing innovations result from the
implementation of the ACA. #e Prevention and Public Health Fund, intended
to provide stable funding for increased activities to improve community health,
supported a number of programs to improve population health using place-based
strategies, such as Community Transformation Grants. However, the fund was
also used to !ll gaps in the implementation of health care changes under the ACA
and has been a continual target of those opposed to the health reform act.
Other opportunities have resulted from the ACA, including accountable
care organizations (ACOs) and Medicaid waivers and innovation grants. ACOs
are essentially networks of providers and hospitals that share responsibility for
the health care and health outcomes of a set of patients. ACOs provide savings
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118 Part II. Keeping Americans Healthy
incentives by o!ering bonuses when providers keep costs down and meet speci”c quality benchmarks, focusing on prevention and carefully managing patients
with chronic diseases. In other words, providers get paid more for keeping their
patients healthy and out of the hospital. To do this well requires that providers
and hospitals work in the community beyond the walls of their institutions to
ensure better care coordination—and better social and physical conditions for
promoting health. ACOs were designed to lay the foundation for the anticipated
transition by the Center for Medicare and Medicaid Services (CMS) toward
value-based payment. Another innovation opportunity came from state waivers
for delivery of Medicaid. For example, the Texas Medicaid waiver was constructed
such that 5% of the billions of dollars in the waiver was earmarked to support
public health interventions that would prevent illness or injury and thus save
Medicaid money. #ese payment model innovations, like those mentioned previously, require careful evaluation to document their ability to bring about population health improvements and to decrease health care costs. More recently, some
Medicaid managed care organizations have begun to move toward global budgeting, freeing them to be able to consider funding community interventions like
supportive housing if they led to better health outcomes (and lower total costs)
for their capitated populations. Innovative variations on this approach to improving both health care delivery and the health of clinical populations care have been
set in motion in numerous states through “accountable health communities” that
take on responsibility for both health care and identifying and addressing social
determinants of health among participants (Alley, Asomugha, Conway, & Sanghavi, 2016).
Recognizing the impact that factors outside the health care system can have
on health care utilization and costs, the health care sector is beginning to screen
patients for social determinants of health like housing, transportation, and food
insecurity. A challenge to this approach is that while it may be relatively easy
to identify a patient’s social stressor (e.g., unstable housing), putting into place
referral systems that are e$cient and e!ective and generate feedback to the provider (as expected for other referrals made during the course of clinical care) can
be a major challenge. Innovative solutions, such as local mapping of community
health-related assets and social service referral software integrated with the electronic health record, are beginning to demonstrate promise toward this important goal (Lindau et al., 2016).
CONCLUSION
Recognition of the importance and value of population health science and of the
population health model to advancing health in the United States has accelerated
greatly in the last decade. Examples include:
■■ An extensive literature of high-quality publications in top U.S. medical, health care,
and public health journals as well as books in multiple disciplines
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Chapter 5. Population Health 119
■■ National Institutes of Health and CDC funding of multidisciplinary population health
research and intervention programs
■■ Numerous National Academy of Medicine review committees and reports on the
multiple determinants of health and its Roundtable on Population Health Improvement
■■ Interdisciplinary population health centers and training programs at premier universities across the country and the emergence of departments of population health at
leading academic medical centers
■■ !e MacArthur Research Network on Socioeconomic Status and Health, a research
working group funded by the MacArthur Foundation, which operated from 1998 to
2010
■■ National commissions on population health and prevention, including the Robert
Wood Johnson Foundation’s two reports from the Commission to Build a Healthier
America
■■ !e annual national County Health Rankings report based on a multiple determinants
of health framework as well as similar initiatives at the city level (e.g., the
City Health
Dashboard
)
!e population health model is increasingly accepted as a framework for
understanding the multiple determinants of health, with an emphasis on prevention and a strong basis in scienti”c evidence. Importantly, the term “population
health” also entered the lexicon of clinical practice in 2007 as part of the Institute for Healthcare Improvement’s (IHI) Triple Aim initiative to (a) improve the
health of the population, (b) enhance the experience and outcomes of the patient,
and (c) reduce per capita cost of care for the bene”t of communities. !e Triple
Aim initiative’s use of the phrase “population health” has led to some confusion in
terminology. Noting this, the IHI stated in 2014 that “population health” refers to
the broader determinants of health, whereas the Triple Aim refers to “population
medicine” as the management of a discrete population in a health care system,
health plan, or ACO to improve outcomes.
!ere is great potential for population health strategies to aid medical care
providers in improving the outcomes for their patients. As noted earlier in this
chapter, population health is not only about primary prevention; the social, behavioral, and environmental determinants of health also strongly a#ect patients’ ability and likelihood to carry out medical care providers’ recommendations about
changing lifestyle behaviors or preventing social crises (such as losing a job or
becoming homeless) that in turn trigger serious health crises.
As envisaged in the 2003 IOM report on the future of the public’s health,
collaboration among those using the medical, governmental public health, and
population health models would provide a more coherent national approach to
health improvement. Such an approach would include a common, integrated set
of metrics for determinants and outcomes, provide sustainable realigned funding, and result in more strategic and synergistic planning for the actions best
suited for improving the conditions needed for all Americans to have the opportunity to lead healthy lives.
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120 Part II. Keeping Americans Healthy
CASE EXERCISE—SODIUM AND ITS EFFECTS ON OUR HEALTH
Recent data show that Americans consume, on average, more than three times the recommended level of sodium per day in their food and beverages. High salt intake contributes to
high blood pressure and its complications—stroke, heart attack, congestive heart failure, and
kidney failure. In fact, thousands of lives could be saved if sodium consumption were lowered
in people with high blood pressure. Write a memo for the U.S. Secretary of Health and Human
Services about what might be done to address concerns about the effect of high sodium intake
on health. In preparing your memo, consider the following questions:
1. How might we address this problem in the patient population using the medical model
that a health care provider might use versus a population health model that a public
health of!cial might use?
2. How far can and should governments go in attempting to create a more healthful environment? Intrinsic to many population health policies is the specter of the so-called
nanny state. In this case, is it necessary for everyone to be exposed to lower sodium in
their bread, in other common foods, and in restaurants, so as to protect people who have
salt-sensitive illnesses?
3. Should manufacturers bear the costs of manufacturing different versions of foods in
order to protect the public’s health? Should they be required to manufacture healthier
foods, even if customers prefer the less healthy versions? Or should they be liable if they
don’t manufacture healthier foods?
t
DISCUSSION QUESTIONS
1. !e general public equates the word “health” with “health care.” Polls asking people
about their health typically result in responses about their health care experiences.
How do you de”ne health? How would you assess a population’s health if you could
ask the people in that population only one question on a survey?
2. Why do some people refer to the health care system as “the sickness care system”? Do
you agree or disagree with this term?
3. Cross-sectional research shows that, on average, people with disabilities secondary
to illness or injury have lower socioeconomic status than people without disabilities.
How could longitudinal research help to explain whether this is because people of
lower socioeconomic status are at higher risk of developing disabilities or because disability leads to loss of income and thus lower socioeconomic status? In a population
health model, how might lower socioeconomic status increase the risk of disability
secondary to illness or injury?
4. !e Commission to Build a Healthier America found that non-Hispanic Whites were
more likely to be in very good or excellent health than other groups nationally and in
almost every state. In addition, non-Hispanic Whites had better health status than
adults in any other racial or ethnic group at every level of education, but all groups
showed a gradient in health by educational level. What are some of the determinants
that are likely contributing to this disparity in health between non-Hispanic Whites
and other groups after controlling for di#erent educational levels?
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Chapter 5. Population Health 121
5. It is possible that a community’s County Health Rankings would suggest that the
biggest driver of poor health in that community is unemployment. How would you
present the case to your nonpro!t hospital board that the biggest community bene!t
contribution the hospital could make would be to join and support an initiative to
increase job openings in the community, rather than holding health fairs or o”ering
educational lecture series?
REFERENCES
Adler, N. E., & Stewart, J. (Eds.). (2010). !e biology of disadvantage: Socioeconomic status
and health
. Annals of the New York Academy of Sciences (Vol. 1186). San Francisco, CA:
MacArthur Network for Socioeconomic Health.
Alley, D. E., Asomugha, C. N., Conway, P. H., & Sanghavi, D. M. (2016). Accountable health
communities—Addressing social needs through Medicare and Medicaid.
New England
Journal of Medicine
, 374, 8–11. doi:10.1056/NEJMp1512532
Berwick, D. M., & Hackbarth, A. D. (2012). Eliminating waste in U.S. health care.
Journal of
the American Medical Association
, 307, 1513–1516. doi:10.1001/jama.2012.362
Bleich, S. (2005, July). Medical errors: Five years a!er the IOM report.
Issue Brief (!e Commonwealth Fund), 830, 1–15. Retrieved from https://pdfs.semanticscholar.org/b132/
d78f82d6a8f8f724069f6″e4bdb85181b2e.pdf
Bradley, E. H., Elkins, B. R., Herrin, J., & Elbel, B. D. (2011). Health and social service
expenditures: Associations with health outcomes.
BMJ Quality & Safety, 20, 826–831.
doi:10.1136/bmjqs.2010.048363
Braveman, P., & Gruskin, S. (2003). De#ning equity in health.
Journal of Epidemiology and
Community Health, 57
, 254–258. doi:10.1136/jech.57.4.254
Bunker, J. P., Frazier, H. S., & Mosteller, F. (1995). $e role of medical care in determining
health: Creating an inventory of bene#ts. In B. C. Amick III, S. Levine, A. R. Tarlov, & D. C.
Walsh (Eds.),
Society and health (pp. 304–341). New York, NY: Oxford University Press.
Chetty, R., Stepner, M., Abraham, S., Lin, S., Scuderi, B., Turner, N., … Cutler, D. (2016). $e
association between income and life expectancy in the United States, 2001–2014.
Journal of the American Medical Association, 315, 1750–1766. doi:10.1001/jama.2016.4226
Evans, R. G., Barer, M. L., & Marmor, T. R. (Eds.). (1994).
Why are some people healthy and
others not? !e determinants of health of populations
. New York, NY: Walter de Gruyter.
Institute of Medicine. (2003).
!e future of the public’s health in the 21st century. Washington, DC: National Academies Press.
Kindig, D., & Chin, S. (2009, June 18). Achieving “a culture of health”: What would it
mean for costs and our health status?
Innovation, health, and equity: Taking a systems
approach to health and economic vitality
. Presentation sponsored by Altarum Institute,
Ann Arbor, MI.
Kindig, D., & Stoddart, G. (2003). What is population health?
American Journal of Public
Health, 93
, 380–383. doi:10.2105/AJPH.93.3.380
Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (Eds.). (2000).
To err is human: Building a
safer health system
. Washington, DC: National Academies Press.
Kreuter, M., & Lezin, N. (2001).
Improving everyone’s quality of life: A primer on population
health
. Seattle, WA: Group Health Community Foundation.
Krieger, N. (2017). Health equity and the fallacy of treating causes of population health as
if they sum to 100%.
American Journal of Public Health, 107, 541–549. doi:10.2105/
AJPH.2017.303655
Lindau, S. T., Makelarski, J., Abramsohn, E., Beiser, D. G., Escamilla, V., Jerome, J., …
Miller, D. C. (2016). Community Rx: A population health improvement innovation
EBSCOhost – printed on 3/9/2021 10:14 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
122 Part II. Keeping Americans Healthy
that connects clinics to communities. Health A!airs, 35, 2020–2029. doi:10.1377/
hltha!.2016.0694
Mackenbach, J. P., Stirbu, I., Roskam, A. R., Schaap, M. M., Menvielle, G., Leinsalu, M.,
& Kunst, A. E. (2008). Socioeconomic inequalities in health in 22 European countries [Special article].
New England Journal of Medicine, 358, 2468–2481. doi:10.1056/
NEJMsa0707519
McCullough, J. C., Zimmerman, F. J., Fielding, J. E., & Teutsch, S. M. (2012). A health dividend for America: “e opportunity cost of excess medical expenditures.
American Journal of Preventive Medicine, 43, 650–654. doi:10.1016/j.amepre.2012.08.013
McGinnis, J. M., & Foege, W. H. (1993). Actual causes of death in the United States.
Journal of the American Medical Association, 270, 2207–2212. Retrieved from https://pdfs
.semanticscholar.org/7e7b/c02006a12833c8f164c38d0074a59e0469e6.pdf
McKeown, T. (1976).
“e role of medicine: Dream, mirage, or nemesis? London: Nu#eld
Provincial Hospitals Trust.
Mokdad, A. H., Marks, J. S., Stroup, D. F., & Gerberding, J. L. (2005). Actual causes of death
in the United States, 2000: Corrected version.
Journal of the American Medical Association, 293, 293–294. doi:10.1001/jama.293.3.293
Novak, N. L., Geronimus, A. T., & Martinez-Cardoso, A. M. (2017). Change in birth outcomes among infants born to Latina mothers a$er a major immigration raid.
International Journal of Epidemiology, 46, 839–849. doi:10.1093/ije/dyw346
Organisation for Economic Co-operation and Development. (2013).
Health at a glance.
Paris, France: Author. doi: 10.1787/health_glance-2013-en
Robert Wood Johnson Foundation Commission to Build a Healthier America. (2009).
Beyond health care: New directions to a healthier America. Princeton, NJ: Robert Wood
Johnson Foundation.
Robert Wood Johnson Foundation Commission to Build a Healthier America. (2014).
Time
to act: Investing in the health of our children and communities
. Princeton, NJ: Robert
Wood Johnson Foundation.
Schoeni, R. F., House, J. S., Kaplan, G. A., & Pollack, H. (Eds.). (2008).
Making Americans
healthier: Social and economic policy as health policy
. New York, NY: Russell Sage
Foundation.
Schulz, A. J., & Mullings, L. (Eds.). (2006).
Gender, race, class & health: Intersectional
approaches
. San Francisco CA: Jossey-Bass.
Trust for America’s Health. (2008).
Prevention for a healthier America: Investments in disease
prevention yield signi#cant savings, stronger communities
. Washington, DC: Trust for
America’s Health. Retrieved from http://healthyamericans.org/reports/prevention08
University of Wisconsin Population Health Institute. (2010). County Health Rankings and
Roadmaps 2018. Retrieved from http://www.countyhealthrankings.org/county-healthrankings-model
Williams, D., & Collins, C. (2001). Racial residential segregation: A fundamental cause
of racial disparities in health.
Public Health Reports, 116, 404–416. doi:10.1093/
phr/116.5.404
Woolf, S. H., & Aron, L. (Eds.). (2013).
U.S. health in international perspective: Shorter lives,
poorer health
. Washington, DC: National Academies Press.
Woolf, S. H., Johnson, R. E., Phillips, R. L., & Philipsen, M. (2007). Giving everyone the
health of the educated: An examination of whether social change would save more lives
than medical advances.
American Journal of Public Health, 97, 679–683. doi:10.2105/
AJPH.2005.084848
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6
Public Health:
A Transformation
in the 21st Century
Laura C. Leviton, Paul L. Kuehnert, and Kathryn E. Wehr
LEARNING OBJECTIVES
Discuss why a healthy population is in the public interest
Contrast defining characteristics of prevention-oriented public health and
treatment-oriented health care
Identify the core functions of public health
Define essential public health activities
Describe state, federal, tribal, and local authority for public health laws,
regulations, and services
Identify how challenges and opportunities are transforming public health
KEY TERMS
Association of State and Territorial Health Officers (ASTHO)
health (World Health Organization definition)
health impact assessments (HIAs)
health promotion
health status of entire populations
multisectoral collaborations
National Association of County and City Health Officials (NACCHO)
nongovernmental organizations
policy development
© Springer Publishing Company DOI: 10.1891/9780826172730.0006
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

124 Part II. Keeping Americans Healthy
population health
primary prevention
Public Health Accreditation Board (PHAB)
secondary prevention
TOPICAL OUTLINE
Overview of a complex infrastructure
Public health requires a collective response from society
Public health is different from individual health care
The core functions of public health define essential public health activities
Governmental agencies have legal authority for the core functions
Various social, economic, and political forces are transforming public
health
OVERVIEW OF A COMPLEX INFRASTRUCTURE
!is chapter introduces the policies, programs, and practices that constitute public
health in the United States. Public health is “what society does collectively to assure
the conditions for people to be healthy” (Institute
of Medicine, 2002). It is the science, practice, and
art of protecting and improving the health of
populations (Kindig, 2015). We “rst describe
the goals and characteristics of public health
that di#erentiate it from health care treatment, and we outline the core functions of
public health. We then describe the complex network of laws, regulations, authorities, and services
involved. Federal, tribal, state, and local government agencies, often called the infrastructure, have legal authority for the core functions. At the same time, champions of
public health span many public, private, and nonpro”t organizations. In the concluding section, we describe forces at work to transform public health in the 21st century.
Historically, public health emphasized regulating and improving community
sanitation, monitoring environmental hazards, and care of poor mothers and children. Over time, it greatly expanded its role in
documenting and controlling communicable
diseases and encouraging health promoting
behavior. In the late 20th century, many local
health departments were the provider of last
resort for indigent health care. With passage
Public health is “what society
does collectively to assure the
conditions for people to be healthy”
(Institute of Medicine, 2002).
Public health focuses on
entire populations and the
design of policies, systems,
services, and environments to
achieve not just the absence
of disease, but a collective
sense of well-being.*
*To hear the podcast, go to https://bcove.video/2DY99Vw or access the ebook on Springer Publishing ConnectTM.
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Chapter 6. Public Health: A Transformation in the 21st Century 125
of the Patient Protection and A!ordable Care Act (ACA) in 2010, health departments began to reorganize and direct more resources to prevention as more people
received health insurance. “e ACA included an unprecedented single investment
in its Prevention and Public Health Fund, which also enabled this shift. However,
federal funding for prevention has since declined, the ACA is in jeopardy, state
funding has been level since 2010, and state and local health departments have
seen a 20% drop in personnel since 2008 due to budget cuts (see the following). It
is too soon to predict a long-term trend of support for government-funded public
health, given political volatility in 2018. What is certain is that the principles and
services we describe in this chapter are quite simply necessary to ensure the health
of populations. Public health activity only accounts for an estimated 1% to 3% of
national spending (Leider et al., 2016), yet greater spending per capita is linked to
decline in preventable deaths (Mays & Smith, 2011). And despite politics, there is
growing recognition that public health in the United States needs to move away
from piecemeal responses to health problems toward a more coherent and comprehensive approach. Public health champions are also working far beyond the
conventional health sector to advocate for a broader set of policies and systems
changes that improve and protect health.
Public Health Every Day
Public health activities a!ect the lives of Americans profoundly, but more often
than not these activities are invisible. A thought experiment shows how this
works. Imagine waking up and going through your morning routine. You slept 8
hours for a change because health experts claim that lack of sleep causes stress
and other health problems. You wander
into the bathroom and brush your teeth—
teeth that are still in your mouth and pain
free thanks to regular brushing and #ossing,
adequate nutrition, and routine dental visits.
You feel that good habits are your personal
responsibility, but you take for granted the
services and policies that made these choices possible. You also take for granted
that your environment keeps you healthy. Fluoride in your local water supply
helps strengthen your tooth enamel and prevents cavities. You rinse your mouth
with water that is safe to drink. Before it ever reached your faucet, it was checked
for sickness-causing bacteria, heavy metals such as lead (which harm children’s
brains and nervous systems), and chemicals such as polychlorinated biphenyls
(which cause cancer). When you #ushed the toilet, the waste did not get into the
water supply where it could kill you.
You get your children ready for school; so far, they have all survived, never having had measles, diphtheria, polio, or other diseases that killed and maimed so many
children in bygone days. “ank goodness for immunizations. “e kids’ breakfast
includes cereal and pure pasteurized milk. You looked at the nutritional label on
their cereal and saw whole grains and not too much sugar—some food companies
are feeling the pressure and voluntarily o!ering healthier kids’ cereals these days.
Public health activities affect the
lives of Americans profoundly,
but more often than not these
activities are invisible.
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126 Part II. Keeping Americans Healthy
!e news feed warns that a new in”uenza strain is spreading, and the authorities
have renewed their advisory for hand washing and travel precautions. Your sister
calls to announce she is going to have a baby! She is not aware that the toast she is
eating is forti#ed with folic acid, the B vitamin that prevents birth defects. !anks
to comprehensive sex education and family planning, the couple never had (or were
quickly treated for) gonorrhea and chlamydia infection, which can cause infertility.
!e two of you also discuss your father. He’s over 70 and not in the best health,
so he needs to get his “u and pneumonia shots right away! !e last time he had
“u, it turned into pneumonia; he went to the hospital and could have died. Both
of you are worried about him because he is overweight, still smokes, and never
exercises. Is a heart attack, diabetes, or stroke in his future? !e odds are not in
Dad’s favor. Programs to quit smoking are available in the community without
charge, so you agree that Dad’s doctor should try suggesting them again. Too bad
there are no sidewalks in Dad’s neighborhood; he loves to walk, but there is too
much tra$c. Does the senior center have an exercise program that might appeal
to him? You buckle the kids into their safety belts. When you get to your job, you
see signs that read: “607 days without an accident at this worksite” and “proud to
be tobacco free since 2008.” !ese everyday experiences are not just about making healthier choices on your own, but about public health giving the opportunities for healthier choices and making healthier choices the easy choices.
Divided Responsibilities and Issue-Specific Organizations
!e responsibility for the public’s health and the infrastructure to make it work
are divided among many agencies across all levels of government and many
nongovernmental organizations, professional associations, and businesses (see
Figure 6.1). In our thought experiment, for example, municipal authorities handle
waste water, but the federal government regulates chemicals in the water supply.
!e federal government recommends physical activity for older adults, but local
organizations like senior centers, YMCAs, private gyms, and city departments
of transportation, parks and recreation, and public safety all make it possible to
be physically active. !e federal government requires seat belts and air bags in
cars, but state laws mandate seat belt use and the penalties for violation, and local
police generally enforce the laws.
At least four factors account for the complexity and di%use responsibility for
public health in the United States. !e #rst factor is that the U.S. Constitution calls
for decentralized government; states have authority for public health, except where
speci#ed by federal and tribal law. How much authority the states in turn share
with local government varies a great deal and rests with diverse agencies, boards of
health, and municipal and tribal codes (Hodge, 2012; Institute of Medicine, 2011).
Second is the distinctive American tendency, #rst recognized by Alexis de
Tocqueville in the 1830s, to design laws, policies, and organizations that are
problem-speci#c, rather than general. For example, individual diseases receive
special legal recognition, and new federal programs, policies, and categorical
funding streams are created to deal with them. As seen in the following, such
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Chapter 6. Public Health: A Transformation in the 21st Century 127
Groups
$

PD
Public
Health
Agency
Hospitals
Doctors
Community
Health
Centers
Employers
Orgs.
Drug
Treatment
Tribal
Health
Hospitals
Doctors
Community
Health
Centers
Organizations
Elected

Schools
EMS
Corrections
Officials
Fire
Transit
Mental
Health
Home Health
Community
Centers
Nursing
Homes
Nonprofit
Neighborhood
Law
Enforcement
Faith Institution
Laboratories
Civic
Groups
Schools
EMS
Nonprofit
Organizations
Neighborhood
Source: Centers for Disease Control and Prevention. (2013). !e public health system and the 10 essential
public health services. Retrieved from http://www.cdc.gov/nphpsp/essentialservices.html.
FIGURE 6.1 THE PUBLIC HEALTH SYSTEM AT THE LOCAL LEVEL
problem-speci!c policies get in the way of comprehensive policies and systems to
prevent and treat disease and respond to health hazards. Diverse federal departments deal with such health problems as assuring pure food and drugs (Food
and Drug Administration [FDA] and United States Department of Agriculture
[USDA]), monitoring and controlling infectious diseases (Centers for Disease
Control and Prevention [CDC]), providing guidance to prevent chronic diseases
(CDC, National Institutes of Health [NIH]), improving tra”c safety (Department of Transportation [DOT], National Highway Tra”c Safety Administration
[NHTSA]), maternal and child health care (Centers for Medicare & Medicaid Services [CMS], Health Resources and Services Administration [HRSA]),
and ensuring a healthy and safe place to work (Occupational Safety and Health
Administration [OSHA], Mine Safety and Health Administration [MSHA],
National Institute for Occupational Safety and Health [NIOSH]).
A third distinctively American approach is the heavy reliance on nongovernmental organizations to achieve public health goals. Yet these organizations also
tend to be issue-speci!c: national organizations and their local a”liates such as
the American Red Cross, American Heart Association, the Planned Parenthood
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128 Part II. Keeping Americans Healthy
Federation of America, United Way Worldwide, YMCA of the USA, various
environmental organizations, and many community-based organizations speci!c to a town or city neighborhood. With shrinking governments, these organizations take on additional importance. Some organizations and
multisectoral
collaborations
are taking on a broader set of local and state health issues and
!nding new ways to collaborate toward a shared goal (see below).
“e fourth cause of di#use responsibility (and complexity) lies in the broad
de!nition of health goals and ongoing debates over what should be done to
achieve them. “e World Health Organization asserts that
health is more than
the absence of disease, but rather “a state
of complete mental, physical and social
well-being” (Green & Kreuter, 2005). Wellbeing is achieved, for example, when children perform well in school and do not fear
neighborhood violence, when physical and
mental functioning is maintained well into
old age, and when people have a better quality of life. But where, then, do we draw the
line between health goals and other societal goals? Should we draw such a line?
Who has responsibility, and for which goals? “is is a matter of active debate,
especially as public health starts to address more of the social, environmental,
and economic determinants of health (see the following).
PUBLIC HEALTH REQUIRES A COLLECTIVE RESPONSE FROM SOCIETY
Two key assumptions distinguish public health from the health care delivery
systems discussed elsewhere in this book: (a) a healthy population is in the public interest and (b) working at a societal or community level (outside of what a
clinician can do in a health care setting), we can improve an entire population’s
health.
The Health of Populations Is in the Public Interest
The goal of public health is to improve the health status of entire populations,
not just individuals. It is concerned with the incidence, prevalence, and
distribution of health problems and differences by places and populations.
In using these indicators, public health aims to identify health problems and
improve them through action at a community, state, or other collective level.
This aim is well justified by past successes. Between 1900 and 2015, average
life expectancy increased from 47.3 to 78.8 years (National Center for Health
Statistics, 2017). Medical care treatment did not accomplish this change.
Rather, society made pervasive improvements in 10 public health arenas
(see Exhibit 6.1). In the present day, health still is most strongly determined
by behavioral, community, environmental, and societal forces, not by health
care (see Chapter 7).
The World Health Organization
asserts that health is more
than the absence of disease,
but rather “a state of complete
mental, physical and social
well-being.”
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Chapter 6. Public Health: A Transformation in the 21st Century 129
The Public Interest Justifies a Collective Response
Public health is necessary because neither individual behaviors, nor medicine,
nor the private sector are enough to keep people healthy. !us, the public interest requires government services, or at least some form of e”ective collective
action. Since ancient times, people have taken collective action to protect themselves from disease and environmental disaster. In the 19th century, public health
was justi#ed on utilitarian grounds: the greatest good for the greatest number.
Healthy people are a more productive workforce and better able to defend the
nation. !e utilitarian argument is still compelling: For example, a high childhood obesity rate impairs America’s economic competitiveness and the combat
readiness of youth (Institute of Medicine, 2012). However, public health today is
also justi#ed as a human right, and public health is seen as a means to achieve
social justice by addressing social and economic disparities that contribute to
health inequities (Beauchamp & Steinbock, 1999).
Not everyone agrees with this rationale. Conservatives often reject social justice as a reason for collective action. In truth, most public health services serve
both utilitarian and social justice aims. For example, many publicly funded prevention e”orts are targeted to poor children, but these e”orts also help produce
a healthier workforce. Also, libertarians believe public health limits individual
liberty (Leviton, Needleman, & Shapiro, 1997). Indeed, public health policy and
practice usually balance individual freedoms and collective bene#ts. For example,
health departments have police powers to control infectious disease as a “clear
and present danger,” but they need to do so without appearing to abuse this
power. Some legal decisions have, in fact, limited public health activities where
they infringed on individual liberty.
Finally, some Americans may question whether government should be
involved in public health: Can’t private or nonpro#t organizations play the role
EXHIBIT 6.1 10 GREAT PUBLIC HEALTH ACHIEVEMENTS—UNITED STATES, 1900–1999
■■ Vaccination
■■ Motor vehicle safety
■■ Safer workplaces
■■ Control of infectious diseases
■■ Decline in deaths from coronary heart disease and stroke
■■ Safer and healthier foods
■■ Healthier mothers and babies
■■ Family planning
■■ Fluoridation of drinking water
■■ Recognition of tobacco use as a health hazard
Note: Based on the impact on death, illness, and disability in the United States and not ranked by order of
importance.
Source: US Centers for Disease Control and Prevention. (1999). Ten great public health achievements—
United States, 1900–1999.
Morbidity and Mortality Weekly Report, 48(12), 241–243. Retrieved from https://
www.cdc.gov/mmwr/preview/mmwrhtml/00056796.htm
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130 Part II. Keeping Americans Healthy
that government plays now? In fact, private and nonpro!t organizations do play
important roles, but without government there is no way to address what economists term “market failures” of health care. For example, private physicians lack
the health department’s legal authority to monitor, reach people, and intervene,
and disrupt the spread of sexually transmitted infections, food-borne disease outbreaks, rat infestations, lead poisoning among children, and other many other
problems. In the same way, free markets will not assure adequate water sanitation
systems or housing conditions.
PUBLIC HEALTH IS DIFFERENT FROM INDIVIDUAL HEALTH CARE
Prevention and Health Promotion at a Population Level
Public health works on prevention at a collective level through health promotion,
changes in policy or law, professional and scienti!c consensus about prevention
e”orts, and recently, by incorporating health considerations in decisions of sectors outside the health care system.
Health promotion addresses behavior and
lifestyle: “the combination of educational and environmental supports for actions
and conditions of living conducive to health” (Green & Kreuter, 2005). Health
promotion often works through schools, businesses, recreational facilities, community associations, and health care settings.
#e U.S. Preventive Services Task Force (2018) uses three long-accepted categories to describe the full array of potential preventive interventions:
■■ Primary prevention, helping people avoid the onset of a health condition, including
injuries
■■ Secondary prevention, identifying and treating people who have risk factors or preclinical disease
■■ Tertiary prevention, treating people with an established disease in order to restore
their highest functioning, minimize negative impact, and prevent complications
#ese categories, especially tertiary prevention, obviously spill over into the
medical treatment of individuals, but at a systems or community level, they are
public health issues. Providers need guidance and support to carry them out. In
Table 6.1, we can see the di”erences between individual and collective prevention
for heart disease and stroke. Notice that successful prevention for an individual
(in this case, a person who might have a heart attack or stroke) depends on the
widespread availability of prevention services at a
population level. To understand more about how medical care and public health can support each other, see
the Surgeon General’s National Prevention Strategy: www.surgeongeneral.gov/
priorities/prevention/strategy/index.html.
Planning and Policy at a Population Level
An important U.S. Department of Health and Human Services (DHHS, 2013)
e”ort,
Healthy People 2020, provides a comprehensive review of priority health
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Chapter 6. Public Health: A Transformation in the 21st Century 131
risks, e!ective strategies, and public health focus areas for the nation, each with
many speci”c objectives. #ese areas are updated every 10 years. Progress in meeting the Healthy People objectives has been very uneven; many of the objectives
are quite ambitious (Sondik, Huang, Klein, & Satcher, 2010). Disease prevention
and health promotion are rarely completely e!ective because there are no “magic
bullets” that can prevent 100% of people from becoming sick or being injured.
For example, prevention has greatly reduced the rate of heart attacks, but some
heart attacks still occur. People die in car crashes in spite of safety improvements
that have resulted in lower fatalities overall. Not only is there no magic bullet, but
public health e!orts can’t be “one shot,” either. E!orts need to be maintained over
time. Otherwise, the nation tends to lose some of its health gains. For example
2018 saw increased sexually transmitted infections, likely due in part to pervasive
cuts in health department sta! (see below). Forty-“ve years ago Congress passed
the Safe Drinking Water Act, yet the aging water systems of inner cities contaminate children’s drinking water with lead. Public health problems are not simple
and they adapt over time. For example, we have not “solved” the tobacco problem
if young people use e-cigarettes and then turn to smoking. Such problems need a
combination of activities, so the reader will see lists of activities and responsibilities throughout this chapter. Each activity holds a story in itself.
Universal prevention means that everyone receives an intervention equally,
while targeted prevention involves identifying and serving people at higher risk.
When they are possible, universal approaches are often more e!ective in improving the health of populations. #e case of tra$c safety illustrates these approaches.
People who drive while intoxicated are clearly at high risk of injury to themselves
and others, and targeting drunk drivers improves road safety for everyone. However, universal protections, such as seat belts, air bags, and safer vehicles, contribute
TABLE 6.1 DIFFERENCES BETWEEN THE ROLES OF INDIVIDUAL MEDICAL CARE AND PUBLIC HEALTH

INDIVIDUAL MEDICAL CARE PUBLIC HEALTH
Primary
Prevention
Encourages patients to maintain
healthy weight, be physically
active, and not smoke
Works to establish bike and walking paths and to
eliminate trans-fats from foods, offers smoking quit
lines, advocates for smoke-free public spaces and
higher cigarette taxes, provides prevention guidelines
to medical care providers
Secondary
Prevention
Encourages regular checkups for
detecting and treating high blood
pressure, elevated cholesterol,
and other risk factors
Mounts public service campaigns about the
importance of controlling blood pressure and “knowing
your number” for cholesterol, provides guidelines to
medical care providers on diagnosis of blood pressure
and hypercholesterolemia
Tertiary
Prevention
Treats heart attack to save the
heart muscle, treats stroke
to minimize nervous system
damage, treats atherosclerosis,
restores function, and prevents
recurrence through cardiac
rehabilitation and medication
Provides guidelines on treatment to medical care
providers, creates widespread awareness of the
symptoms of heart attack and stroke and the need to
seek help quickly to save the heart muscle, teaches
CPR, locates automated external defibrillators in public
places and worksites, establishes effective emergency
systems, sponsors patient support groups

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132 Part II. Keeping Americans Healthy
much more to reducing tra!c fatalities and injuries because they help everyone,
even those who never encounter a drunk driver (NHTSA, 2017).
Targeted prevention is an important focus for public health when the risk is
prevalent and when there are e”ective means to identify and treat it. For example, a
national campaign in the 1970s led to improved identi#cation and treatment of people
with high blood pressure. $is in turn greatly reduced premature death and disability
from cardiovascular disease (CDC, 2011). However, an initial goal was to make sure
that providers screened
all their patients for high blood pressure, a universal strategy
with a population focus. Combining both universal and targeted strategies can have
a cumulative bene#t. A balance of targeted and universal approaches is important to
avoid stigma or victim blaming of people at risk and to address health equity.
Increasing Focus on Health Equity
A term related to targeted prevention is health equity, meaning actions to eliminate health disparities or inequalities. As seen in Chapter 8, health disparity “is a
di”erence in which disadvantaged social groups—such as the poor, racial/ethnic
minorities, women, or other groups who have persistently experienced social disadvantage or discrimination—systematically experience worse health or greater
health risks than more advantaged social groups” (Braveman, 2006, p. 167). In
order to increase consensus about health equity, the Robert Wood Johnson Foundation provided this de#nition: “Health equity means that everyone has a fair and
just opportunity to be healthier. $is requires removing obstacles to health such as
poverty, discrimination, and their consequences, including powerlessness and lack
of access to good jobs with fair pay, quality education and housing, safe environments, and health care” (as cited in Braveman, Orleans, Proctor, & Plough, 2017,
para. 1). Health equity may address immediate and concrete issues, like safe tra!c
crossings in poor neighborhoods, or it may address “upstream” social determinants of health, like a”ordable housing and minimum wage. Health equity appeals
to social justice, but also supports the utilitarian focus on a healthier workforce.
Health equity is not a zero sum game with winners and losers, however. Disparities
are sometimes reduced when the majority population gets sicker—for example the
reduced life expectancy of middle-age Whites in recent years. But health equity is
never intended to impair other people’s opportunities to be healthy.
THE CORE FUNCTIONS OF PUBLIC HEALTH DEFINE ESSENTIAL
PUBLIC HEALTH ACTIVITIES
Definition of Core Functions
Public health serves three core functions, as seen in Figure 6.2, to solve health
problems at a population level (Institute of Medicine, 2002). Assessment of public health problems involves understanding their prevalence, severity, and causes,
using various well-tested statistical tools. While private and nonpro#t organizations often do such assessments, public health agencies have the primary
responsibility for surveillance of
population health status, monitoring of disease
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Chapter 6. Public Health: A Transformation in the 21st Century 133
Source: Centers for Disease Control and Prevention. (2013). !e public health system and the 10 essential
public health services. Retrieved from https://www.cdc.gov/stltpublichealth/publichealthservices/
essentialhealthservices .html
FIGURE 6.2 THE CIRCLE OF PUBLIC HEALTH ACTIVITIES AND 10 ESSENTIAL SERVICES
The 10 Essential Public Health Services describe the public health activities that all communities should
undertake and serve as the framework for the National Public Health Performance Standards (NPHPS)
instruments. Public health systems should:
Monitor health status to identify and solve
community health problems.
ASSESSMENT
1 2 3 4 5 6 7
10
POLICY DEVELOPMENT
ASSURANCE
Diagnose and investigate health problems
and health hazards in the community.
Inform, educate, and empower people
about health issues.
Mobilize community partnerships
and action to identify and solve
health problems.
Develop policies and plans that
support individual and community
health efforts.
Enforce laws and regulations that
protect health and ensure safety.
Link people to needed personal health
services and ensure the provision of health
care when otherwise unavailable.
8 Ensure competent public and personal health care
workforce.
9 Evaluate effectiveness, accessibility, and quality of personal and population-based health services.
Research for new insights and innovative solutions to health problems.
S
Monitor
Health
Diagnose &
Investigate
Inform,
Educate,
Empower
Research
Mobilize
Community

Develop Partnerships
Policies

Enforce
Laws
Link to/
Provide
Care
Ensure
Competent
Workforce
Evaluate
ASSES
SM
ENT
POL
ICY D
EV
E
LOPMEN
T
AS UR
AN
CE
Syst
em M
ana
gem
ent
trends, and analysis of the causes of those trends and points for intervention. As
seen in the !nal section, the assessment function is undergoing dramatic changes
in resources, technology, and even reframing of public health problems as direct
action on the social determinants of health.
The second core function,
policy development, is to create and advocate
for solutions to achieve public health goals. Formal policy development
includes devising laws and regulations to protect the public, as in the case of
environmental protection; funding and reimbursement for specific services
such as child immunizations; prohibiting smoking in public places; voluntary
agreements, such as businesses taking excess sugar out of the food supply;
and setting guidelines or standards for services or practices, such as laboratory testing for infectious diseases. However, policy development can also
involve multisectoral changes and agreements in communities, business,
health care, or nonprofit organizations. For example, tax credits may help to
finance a new supermarket in an underserved area so that people have access
to fresh fruits and vegetables. However, the community still needs to find an
operator who understands the business and will take the risk of opening the
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134 Part II. Keeping Americans Healthy
supermarket, the city needs to facilitate through zoning, the extension service
may put on cooking demonstrations to familiarize people with the produce,
the Supplemental Nutrition Assistance Program (SNAP) may provide twofor-one offers on produce, faith-based organizations may publicize the new
market, and so on.
!e third core function, assurance, involves enforcement of policy, as with
inspection of restaurant sanitation or nursing home safety; monitoring legal
compliance, as with smoke-free indoor air laws; ensuring proper implementation of necessary services, such as supervision of home visits to new mothers in
disadvantaged communities; and adequate crisis response, as when public health
allocates resources, trains, and drills to prepare for natural disasters.
In order to ful”ll all three core functions, public health departments are highly
dependent on other organizations and individuals. For
assessment, public health
relies on medical care providers, “rst responders, and others to provide the necessary data on births, deaths, reportable diseases, and environmental hazards. For
policy development, it relies on advocates, policy makers, businesses, and community collaborators who share a common interest in public health goals. For assurance, it relies on complementary health care
services and compliance with standards and
regulations. Public health agencies do not
have the legal authority, “nancial capability,
or personnel to address all health problems
by themselves.!ey need to collaborate with
other organizations that have the power,
in#uence, and resources to achieve better
population health outcomes, for example, in
promoting worker safety, assuring safe food,
or building bicycle and pedestrian-friendly
streets for physical activity.
Core Functions: An Example
!e following example, concerning the birth defect spina bi”da, illustrates the
cyclical problem-solving approach used in public health (see Figure 6.2 and www.
cdc.gov/ncbddd/spinabi”da/data.html). Di$erent types of assessment, policy
development, and assurance issues emerge during this cycle.
1. Monitor the problem: Spina bi”da is a neural tube defect that develops in the “rst 3 to
4 weeks of pregnancy, when the “neural tube” that will form the spine does not close
properly. In its most severe form, spina bi”da leads to leg paralysis, bowel and bladder control problems, and, without treatment, mental retardation. Spina bi”da a$ects
3.05 out of every 10,000 live births
(assessment).
2. Diagnose and investigate causes: !e CDC projects that 50% to 70% of spina bi”da
cases can be prevented if women take enough folic acid (a B vitamin) before and during
pregnancy. Folic acid is most e$ective in promoting healthy neural tube development
Public health agencies do
not have the legal authority,
financial capability, or personnel
to address all health problems
by themselves. They need
to collaborate with other
organizations that have the
power, influence, and resources
to achieve better population
health outcomes.
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Chapter 6. Public Health: A Transformation in the 21st Century 135
when taken before pregnancy and during the critical !rst weeks. For this reason, CDC
recommends that, even
before they become pregnant, women take a multivitamin with
400 mg of folic acid every day and eat foods rich in folic acids
(policy development).
3. Develop policies: Unfortunately, women may not know they are pregnant until the
defect has developed, as roughly half of all pregnancies are unintended. Also, foods
that naturally contain folic acid may not be readily available to the poor or to individuals eating certain diets
assessment. One alternative is to fortify common foods with
folic acid. Since 1998, the government has required that enriched cereal, pasta, #our,
and bread products include folic acid
(policy development).
4. Enforce laws and regulations: $e USDA enforces folic acid requirements. WIC
centers must give pregnant women nutrition education and provide the enriched
foods (see www.fns.usda.gov/wic/about-wic-how-wic-helps#ImprovedDiet and DietRelated; Outcomes);
(assurance).
5. Evaluate effectiveness: After the forti!cation requirement began, the rate of spina
bi!da in the United States declined by 31% from the rate before the policy
(assessment).
6. Diagnose and investigate: Many scientists believe we could prevent more cases of spina
bi!da if new regulations increased the amount of folic acid in grain products. $e USDA
now requires folic acid in corn masa (for tortillas);
(policy development, assessment).
GOVERNMENTAL AGENCIES HAVE LEGAL AUTHORITY
FOR THE CORE FUNCTIONS
If people think about public health at all, they often think of federal agencies such
as the CDC, which issues public guidance on prevention and warnings about the
#u season. $ey might also think about the Environmental Protection Agency
(EPA) for hazardous waste cleanup or NIH for the basic science, as in the case of
folic acid. However, it is the states that have primary authority for public health,
under the 10th Amendment to the U.S. Constitution. In contrast, the Constitution recognizes tribes as sovereign nations and designates federal responsibility for
their health. $us, we begin with state and tribal law and state health departments.
State Authority for Public Health
State law. $e 50 states vary greatly on how they de!ne and delegate public
health authority and responsibility. States enacted public health statutes over
time to respond to speci!c diseases or health threats. $ese laws are fragmented
and often have not kept up with developments in science, practice, or societal
change, so public health law has become a powerful force to improve e%ectiveness (Institute of Medicine, 2011). For example, some state laws have separate
sections for speci!c communicable diseases, instead of standard approaches
to address infectious disease in general. $is fragmentation leaves them with
no standards for addressing new infectious diseases, advances in public health
practice, and changes in constitutional law. State laws need updating to permit
new multisectoral health promotion e%orts—for example, collaborations among
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136 Part II. Keeping Americans Healthy
public health, transportation, and parks and recreation to encourage more physical activity. State laws may also neglect important safeguards for privacy, due
process, and protection from discrimination. One proposal, the Model State
Public Health Act, was to modernize the entire body of states’ public health laws.
While the Model Act itself did not have much uptake, parts of its subject matter
have been featured in many new state bills and laws (Hodge, 2012; Institute of
Medicine, 2011). !is kind of incremental policy change is typical in the United
States. !e Network for Public Health Law provides states with legal technical
assistance that is usually more topical and less comprehensive than the Model
Act (www.networkforphl.org).
Other improvements are needed for problems that cross state lines. Chief
among these are problems arising from human-made and naturally occurring
events such as the anthrax attacks in the fall of 2001, the increase in devastating hurricanes and other severe weather events since 2005, the 2009 H1N1
in”uenza pandemic, and the 2014 Ebola outbreak. !ese events underscored
the need for legal reforms to enhance public health emergency preparedness by
addressing a variety of issues, including (a) declaring public health emergencies
separate from other types of disasters; (b) expediting public health powers such
as those needed to collect health data, to screen, vaccinate, or treat exposed
people, to seize property to abate hazards, or to isolate or quarantine residents;
(c) recruiting and deploying trained health professional volunteers; and (d) providing liability protections to health professionals and entities, among others
(Hodge, 2012). As of 2015, 34 states and Washington, DC, incorporated “public health emergencies” or similar terms in their statutes (Network for Public
Health Law, 2015).
State health departments. In 2016, 29 state health departments were freestanding as separate agencies, while 21 states combined public health into umbrella
agencies with related programs, such as Medicaid, human services and welfare,
mental health and substance abuse, or environmental management. !e website of the
Association of State and Territorial Health Officers (ASTHO, www
.astho.org) provides a wealth of detail on the characteristics and #nancing of state
health departments.
A state’s chief health o$cial directs the department of public health and may
report directly to the governor or to an o$cer in the governor’s cabinet. !e
state health department’s position in the chain of command and the governor’s
priorities a%ect the authority and power of its director. Medicaid and other state
public assistance programs tend to garner most of a governor’s attention because
of their cost—sometimes Medicaid is part of the state health o$cer’s authority,
but usually not. !ese other programs can a%ect public health drastically given
the social, economic, and environmental determinants of health. !e ways various health-related functions and programs are organized a%ects how well public
health activities can be coordinated. For example, environmental protection is
often located in another agency outside the health department, in which case
conservation, wilderness preservation, or litigation around toxic spills may head
that agency’s agenda. !is situation often leaves less opportunity for e%ective
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Chapter 6. Public Health: A Transformation in the 21st Century 137
interaction with the health department, even though it must monitor potential
health consequences of environmental exposures.
Tribal public health. !ere are 565 federally recognized tribes, with additional tribes recognized by state governments. Each tribe has a distinct language,
culture, and governance structure. Tribal governments are sovereign nations and
have a government-to-government relationship with the federal government that
the U.S. Constitution, Supreme Court decisions, treaties, and legislation established. Tribes gave their land and natural resources to the federal government in
exchange for education, health care, and other services.
Since 1955, the Indian Health Service supports and delivers health care and
public health services to American Indians and Alaska Natives. Tribes may provide
public health services together with federal agencies, local and state health departments, Tribal Epidemiology Centers, and other private or public third parties. !e
nature and extent of these partnerships vary by tribe, region, and type of service.
1
Tribal sovereignty and federal, state, and local agreements with tribes are particularly important when it comes to understanding policy and law across a wide
range of public health issues—from injury and harm prevention, to environmental
health, to animal control, to health services—and why tribal public health codes
are important to recognizing tribal authority, honoring tribal culture, coordinating public health responses across jurisdictions, and ensuring adequate resources.
2
Intergovernmental Relations
Federal–state relations. Although the states have constitutional authority to
implement public health, a wide variety of federal programs and laws a”ect their
work. Federal law relating to public health preempts state laws, just as state law
preempts local laws. However, tribal governments are sovereign nations so that
tribal law supersedes all but federal laws. Preemption a”ects public health because
the federal government can require minimum protections below which states
cannot go—a “#oor preemption.” For example, the Clean Water Act requires a
minimum standard for water in all states, although states are allowed to have
more stringent standards. But “ceiling preemption” can pose an obstacle to prevention when states and localities are more aggressive than the federal government. For example, the tobacco industry challenged state and local regulation of
tobacco in the courts citing less stringent federal regulations. Preemption of local
law plays out the same way, as in recent local e”orts to prevent childhood obesity by limiting junk food and sugar-sweetened beverages. Ten states have passed
preemption laws to prohibit such local e”orts at the behest of food and beverage
companies (Dana & Nadler, 2018).
1 For more information on the organization of tribal public health, see https://www.nihb.org/
docs/07012010/NIHB_HealthProfile%202010.pdf and http://www.norc.org/Research/Projects/
Pages/national-profile-of-tribal-public-health-agencies.aspx
2 For more information on policies relating to tribal public health, see http://www.ncai.org/
policy-research-center/initiatives/projects/tribal-public-health-law
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138 Part II. Keeping Americans Healthy
!e federal agencies working in public health are described in Chapter 3.
States must constantly interact with these federal agencies. For example, DHHS
supports state health departments with grants and technical assistance for
maternal and child health and preventive services, child welfare services, substance abuse treatment and prevention, and mental health services. DHHS also
funds the states to train the public health workforce. CDC provides grants and
cooperative agreements to states, cities, and community-based organizations for
HIV prevention, chronic disease control, and improving state and local infrastructure (see below). USDA provides health departments with direct support
for food assistance and nutrition education. EPA provides direct resources to
the states for environmental management. Most of these funding streams are
categorical—that is, the funding is intended for speci”c categories of people or
special purposes. Congress authorizes categorical funding to address a speci”c
health problem, such as preventing AIDS or addressing bioterrorism. However,
categorical funding limits states’ #exibility to deliver a range of relevant services
with available resources. Block grants o$er greater #exibility to states; however,
Congress often reduces block grant funding over time.
Delegation of state authority to local health departments. States vary in
terms of the authority they give to local governments and local public health
departments. In 2016, 14 states had centralized public health departments, meaning that employees of the state led the local health units, and the state retained
authority over many decisions relating to the budget, public health orders, and
the selection of local health o%cials. Health departments were decentralized in
27 states: Local governments made many decisions and sta$ed the local health
units. Four states shared authority, decision making, and employment with local
governments. !e remaining “ve states were mixed, meaning that some features
were centralized while others were shared or decentralized.
!e
National Association of County and City Health Officials (NACCHO)
website (www.naccho.org) o$ers further detail on the wide variety of organizational arrangements, responsibilities, “nancing, sta%ng, and authority of the
estimated 2,533 local health departments. One reason for this variety is simply
historical. !e “rst public health agencies were formed in the early 1800s and
were primarily city based. Later in the 19th century, state health agencies began
to form. !roughout the 20th century, county health departments developed.
One can see the e$ects by comparing older states to states admitted to the union
more recently: Massachusetts had 328 local boards of health in 2016,
3 while Oregon4 had 34 county health departments (NACCHO, 2017b).
Collaboration among federal, tribal, state, and local health departments. Health departments are exploring ways to coordinate public health
responses and share services, functions, and sta$ across jurisdictional boundaries. From “handshake agreements” to more formal memoranda of understanding
3 A 2016 Massachusetts law may lead to consolidation of local health departments over time.
4 Oregon has about half the population of Massachusetts but almost 10 times the land area.
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Chapter 6. Public Health: A Transformation in the 21st Century 139
to consolidations and mergers, these sharing arrangements often seek to balance e!ectiveness and e”ciency in assuring the core public health functions
(NACCHO, 2017b).
Local, state, tribal, and federal agencies all have strengths and resources for
public health. States, tribes, and localities usually understand their own problems best and how their context a!ects services. Meanwhile, the federal government has greater resources and scienti#c expertise for tackling large and complex
health threats. $e CDC, for example, leads the investigation of serious disease
outbreaks, such as in%uenza, and makes recommendations for both clinical and
community prevention. $e federal government also steps in when health threats
cross state borders, or when states cannot comply with federal regulations, o!ering technical assistance and #nancial support.
Public Health Services
State responsibilities. $ese generally include disease and injury prevention,
sanitation, controlling water and air pollution, vaccination, isolation and quarantine, inspection of commercial and residential premises, food and drinking water
standards, extermination of vermin, %uoridation of municipal water supplies, and
licensure of physicians and other health care professionals. However, the speci#c
activities and services provided vary widely across states and localities. For example, tribal, state, and local health departments work to prevent chronic disease,
but their approaches focus to varying degrees on education, social marketing, or
policy and environmental changes (see Chapter 7).
10 essential services. In the face of this variation, most public health professionals agree that all health departments should provide the 10 essential services
listed in Figure 6.2. Many health departments are challenged to provide these services on their own, given their resource and sta”ng limitations. For example, most
local health departments are small and rural, with 62% serving fewer than 50,000
people, and usually have 15 or fewer full-time sta!. Many health departments have
weak sta! capacity in some of the 10 essential services, and higher education is not
providing the appropriate training. Many experienced professionals are on the verge
of retirement, and replacements are in short supply given the low salaries and rural
location of many local health departments. Many health departments are thinking
creatively about how to meet these challenges, the topic of the #nal section.
Public health emergencies. Since the 2001 anthrax attacks, public health
agencies have faced the added responsibility of protecting the public against bioterrorism threats and other communicable disease emergencies. $e 2018 %u
season was severe, and experts believe that we may soon experience one like the
1918 pandemic that killed an estimated 675,000 U.S. residents. Diseases spread
much more quickly than they did in the past because of international travel, urban
overcrowding and poverty, climate change, and misuse of antibiotics that produce multiple drug-resistant infections. Interventions include global surveillance
networks, stockpiles of vaccines, and better communications and data sharing to
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140 Part II. Keeping Americans Healthy
deal with outbreaks. Although preparedness is much better than in 2001, a recent
study found that 28 states had inadequate policies and capabilities to protect
against threats from communicable diseases (Trust for America’s Health, 2015).
New training, competencies, and accreditation. In 2011, national voluntary performance standards were created for public health agencies, with development, re!nement, and review by the Public Health Accreditation Board
(PHAB). Among departments that had been accredited for at least 1 year, a recent
survey found that over 90% believed that their departments had better opportunities for quality and performance improvement, were better able to identify strengths and weaknesses, had better accountability and transparency, and
had better management practices (Kronstadt et al., 2016). At the end of 2017,
31 states, 1 statewide system of many local departments, 1 tribal, and 179 (7%)
local health departments were accredited, while 158 were seeking accreditation.
Accredited departments serve about 66% of the U.S. population. “e PHAB website gives updates on progress and details of the accreditation standards (www
.phaboard.org). PHAB also developed a consensus set of core competencies for
public health practice at entry, supervisory, and executive levels. Movement to
upgrade the competence of individual public health workers is seen in new management academies, continuing education, and certi!cate programs (Schae#er,
Schultz, & Salerno, 2009).
SOCIAL, ECONOMIC, AND POLITICAL FORCES ARE
TRANSFORMING PUBLIC HEALTH
Challenges
Government agencies are important, but they are really only part of the public
health infrastructure. Moreover, government is shrinking in the early 21st century. Champions of the public’s health are meeting this challenge by working
in new ways, communicating more e#ectively with the public, advocating for a
wider variety of policies that a#ect health, and engaging new partners that are
vital to achieving public health goals.
Shrinking government. According to
ASTHO and NACCHO, state and local
health departments were hit hard by the
recession of 2008–2010, with job losses
totaling about 20% of the total public health
workforce. During the recession, nearly
every health department reported making
cuts to programs and services, and the following decade saw continued, severe cuts in
sta$ng and programs. State public health
spending has been mostly level since 2010,
Champions of the public’s health
are meeting this challenge
by working in new ways,
communicating more effectively
with the public, advocating for
a wider variety of policies that
affect health, and engaging
new partners that are vital to
achieving public health goals.
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Chapter 6. Public Health: A Transformation in the 21st Century 141
with median spending of $31.62 per capita (Segal & Martin, 2017). Yet in the
future, these agencies will need to do even more to manage new disasters and
epidemics, meet the standards of accreditation, and achieve health equity. Both
national developments and creative partnerships at the regional, state, and local
level may help to meet this challenge.
Wide swings in federal support. Under the Obama administration, the
American Recovery and Reinvestment Act of 2009 provided $650 million for prevention activities, and ACA authorized $15 billion over 10 years for the Prevention
and Public Health Fund. Almost from its inception, however, Congress reduced the
Prevention Fund to pay for various o”sets in the federal budget, and the February
2018 budget deal cut $1.36 billion from the fund. Although there have been a few
budget victories, current debates continue to challenge public investments in public health. #e American Public Health Association (APHA) website (www.apha
.org) gives updates on the Fund and other federal support for public health.
#e Obama administration aimed to augment planning and coordination of
prevention across sectors. For example, childhood obesity prevention e”orts
spanned the USDA, CDC, NIH, and Department of Education (Institute of Medicine, 2012). All cabinet-level agencies came together to develop and execute the
National Prevention Strategy through the National Prevention Council. A Surgeon
General’s report outlined how medical care and public health could support each
other (www.surgeongeneral.gov/priorities/prevention/strategy/index.html). Only
time will tell how political changes will alter these and other federal coordination
e”orts. At the state and local levels, however, there is a growing realization that
public health must rely on the range of partners with power and resources and
across a variety of sectors to bring about needed changes in the conditions that
a”ect the quality and length of people’s lives.
Opportunities
Public health institutes. As de$ned by the National Network of Public Health
Institutes (www.nnphi.org), these institutes are “nonpro$t organizations dedicated to advancing public health practice and making systematic improvements
in population health … [they] emerged as a complement to governmental public health systems for addressing the most pressing current and emerging public
health issues.” #e website for the National Network provides details on the 44
institutes and related services in all 50 states as well as tribal communities (www
.nnphi.org). As
nongovernmental organizations, they can accept private funds,
leverage funding from multiple sources, and serve as $scal intermediaries for
health departments to speed the delivery of services and processes (e.g., hiring
sta” and buying supplies or equipment). Institute sta” can advocate vigorously
for public health programs and funding, whereas government employees have
restrictions. Institutes can o”er a credible, neutral, third-party voice on issues
and can convene all the interested parties to address a broad health problem and
implement a multisector strategy.
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142 Part II. Keeping Americans Healthy
A new role for the health care sector. For more than 40 years, many local
health departments provided direct health care services, leaving fewer resources
to improve the health of
populations. !e ACA aimed to free up these resources
by insuring many more people, who may choose providers other than the health
department. Some health departments explored ways to divest their primary
care services to other community providers while still ful”lling their duties to
assure health care in their jurisdictions, especially for vulnerable populations
(Kuehnert & McConnaughay, 2012). Where they continue to provide health
care services, health departments are now able to collect third-party reimbursements, collections they have not had to do or been able to do historically.
ACA also alleviated pressure on health departments by giving incentives for
providers to work in underserved areas and by reimbursing private plans for
essential prevention services, such as vaccinations and screening, if the plans
meet federal standards.
At the same time, hospitals and health care systems have started to develop
strategies for population health, often in collaboration with health departments
and other community organizations. Hospitals’ interest extends to the whole sector, including for-pro”t hospitals like Humana. Nonpro”t hospitals are required
to satisfy their community bene”t obligations under the ACA by conducting a
Community Health Improvement Plan and aligning their community investments to this plan. Safety-net hospitals have incentives to keep their populations
well, given new reimbursement models, such as those that limit reimbursement
of preventable readmissions to the hospital. An American Hospital Association
survey (Health Research & Educational Trust, 2016) documented its members’
interest in better prevention as well as the highest priority needs their communities were experiencing. !e American Hospital Association also reported on
actions that leading hospitals were taking to address community health needs
beyond their walls, such as Sitka, Alaska’s work to become nationally recognized as a walk-and-bike friendly community, and Fort Worth, Texas’s e#orts to
improve parenting skills and reduce family violence (Health Research & Educational Trust, 2016, 2017).
New resources for assessment. As part of their federal community bene”t requirements, nonpro”t hospitals must conduct community health needs
assessments once every 3 years. !ese assessments aim to engage multisectoral
community coalitions to identify priority needs (www.cdc.gov/policy/chna).
Some states require additional activity. Also, PHAB accreditation sets health
department standards for more consistent and high-quality assessment. New
data sources such as electronic health records, shared and linked databases, “big
data” analytics, and techniques like geographic information systems (GIS), allow
rapid response to potential public health emergencies. Equally important, however, they help policy makers and community coalitions to understand health
di#erently, including opportunities to promote health and reduce health disparities. For example, GIS makes it possible to design communities proactively
to prevent obesity (Institute of Medicine, 2012) or reduce triggers for asthma
(e.g., Propeller Health at www.propellerhealth.com).
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Chapter 6. Public Health: A Transformation in the 21st Century 143
Effective Communication and Advocacy
Putting the public back in public health. Champions of the public’s health need
to build a constituency that understands public health’s value, in order to create
coalitions, gain allies to solve public health problems, and advocate e!ectively for
solutions to improve health and achieve health equity. “e general public does not
understand public health, often supposing it refers solely to programs for the poor.
“e public—and policy makers—react to speci#c problems and crises. “ey do not
see the disease cases, injuries, disabilities, and deaths that have been prevented.
When an eroded infrastructure hinders crisis response—such as when the 2001
anthrax episode overwhelmed many public health laboratories or after Hurricane
Katrina, when even such a basic function as handling the dead broke down—they
do not understand why the problem is not
solved quickly. In reality, public health is
often invisible because it is generally so e!ective. With this in mind, how can public health
develop an e!ective public constituency?
Building and maintaining trust. Public health practitioners sometimes can
be seen as authoritarian or paternalistic, especially when they stress science and
technology (“what’s good for you because science says so”) while ignoring collaboration, community history, democratic processes, and people’s preferences. “is
tendency weakens their connections to grassroots groups and local leadership and
limits input from (and active listening to) their constituents. “e last years of the
20th century heightened public awareness of the need for a new form of leadership
in public health—one that engages people on their own terms, in order to engender
trust and cooperation. For example, the EPA learned to work with communities
a!ected by toxic contaminants. But in the early days, it did not listen to the public
about their concerns, did not provide the information they needed, or gave them
incomprehensible “techno-babble” that enraged community leaders (Leviton
et al., 1997). “e old bureaucratic ways of doing business were simply not e!ective when people had legitimate concerns.
“e most di$cult lesson for public health came from the Tuskegee Syphilis
Experiment (Jones, 1993). In 1932, 600 poor African American men in Macon
County, Alabama, unknowingly became syphilis research subjects when the Public Health Service and the Tuskegee Institute began a study of the natural course of
syphilis and o!ered the men “free medical care.” Of 600 subjects, 339 had syphilis
but were left untreated for up to 40 years, even though a penicillin cure became
available in 1947. As many as 100 of the men died of syphilis, and many more suffered long-term disabilities before a public outcry and a federal advisory panel’s
recommendations halted the study in 1972. Along with the Nuremberg Code on
medical experiments, this episode led Congress to require new protections for
participants in human research. In 1997, President Bill Clinton o!ered an o$cial
public apology to the Tuskegee Study’s eight survivors and participants’ families.
However, public health—and the health care system more generally—never fully
regained African Americans’ trust.
How can public health develop
an effective public constituency?
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144 Part II. Keeping Americans Healthy
More effective voices. ASTHO, NACCHO, and APHA o!er important communication tools to increase e!ectiveness in advocating for policies and resources
at state and local levels. Public health also has advocates such as the Trust for
America’s Health (www.healthyamericans.org), which draws attention to speci”c
health problems—what Americans generally respond to—and ties these issues
to the need for better public health infrastructure and investment. #e Trust has
also been able to bring together diverse constituencies interested in similar kinds
of health protections to amplify the collective message about these issues. #e
County Health Rankings and Roadmaps (www.countyhealthrankings.org) convey a snapshot of the health and well-being of counties within each state. #ese
rankings have been found to attract the interest of policy makers and the public, and stimulate community discussions and collaborations to improve health
(Wandersman, Osher, Winfrey, et al, 2018).
Advocacy in public health generally has a two fold purpose. It aims to
strengthen public health resources and infrastructure, but also to make changes
that health departments cannot make on their own. For example, advocates outside government have worked for many years to strengthen laws and regulations
on issues such as newborn screening and lead remediation. Nongovernmental
advocacy led to increased taxes on cigarettes and smoke-free indoor air laws,
both of which discourage smoking (Center for Public Program Evaluation, 2011).
To help prevent childhood obesity, public health advocates work to change state
and local policies to require healthier foods and beverages in school and childcare, o!er more opportunities for physical activity, and “nance new supermarkets in underserved areas (Robert Wood Johnson Foundation, 2017).
Public health advocacy deals with a wider range of topics today than ever
before. Because health is rooted in a wide variety of social and economic conditions, the “eld advocates for the principle of “health in all policies.” In this
approach, health advocates engage policy makers across various sectors to make
sure that decisions will promote, or at least not adversely a!ect, health. #e state
of California, for example, has established a Health in All Policies Task Force
(Caplan et al., 2017) to help the state’s Strategic Growth Council achieve its goals,
including “improving air and water quality, protecting natural resources and agricultural lands, increasing the availability of a!ordable housing, improving infrastructure systems, promoting public health, planning sustainable communities,
and meeting the state’s climate change goals”—all tied to the health of the state’s
residents.
Health impact assessments (HIAs) help policy makers and community
leaders to identify the health impacts of decisions about nonhealth issues, such
as economic development, housing, and transportation plans. #e HIA is a structured process to gather, analyze, and present scienti”c data, health expertise, and
public input to a public policy body so that policy choices can be made that will
protect or promote health. HIAs have been used e!ectively around the world and
have become more widespread in the United States over the past nine years with
the development of the Health Impact Project (www.pewtrusts.org/en/projects/
health-impact-project).
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Chapter 6. Public Health: A Transformation in the 21st Century 145
The Case for Multisector Collaboration
!roughout this chapter, we have attempted to show the many ways in which a
wide variety of organizations take on the public health role when they focus on
populations. !is approach means that other interests can align with the public
health mission. For example, walkable communities can appeal to real estate developers, city planners, public health practitioners, and advocates—all for somewhat
di”erent reasons. Across the nation, community coalitions are reframing suburban sprawl as something that discourages physical activity and therefore has consequences for people’s health. Likewise, community violence is framed as a public
health problem as well as a problem for community and child well-being, business development, public safety #rst responders, and hospitals. And employers
and public health advocates alike see advantages to workplace health promotion,
smoke-free campuses, and employment policies such as paid family and sick leave.
Pro#le data from 600 health department managers indicate that managers
are more e”ective when they know how to collaborate across sectors (Altman,
2007). Collaboration means they can access other organizations’ power, connections and resources. Given its importance, PHAB is developing standards for
multisector collaboration. Tribal, state, and local public health departments have
always connected to grassroots leadership and other public services in order to
solve collective problems. However, their leadership abilities for multisector collaboration are now being cultivated as never before in what has become known as
the collaborative leadership approach or collective impact. Collaborative leadership means understanding where public health shares common goals with other
interest groups and building coalitions based on those common interests. In the
same way, public health organizations are now participating more e”ectively in
emergency preparedness and in health care reform because they can show where
the public health interest is aligned with national defense and preparation for
natural disasters, on the one hand, and health care quality and cost containment,
on the other.
!e leadership of coalitions cannot simply be left to health departments,
however. In underresourced communities, leadership may come from hospitals, nongovernmental organizations, or even business. An important vehicle for
coalition building is the 100 Million Healthier Lives Campaign (www.100mlives
.org), which strives to achieve the Triple Aim: maximizing population health and
patients’ experience of care while reducing the per capita cost of care.
Conditions in our communities, our homes, and our workplaces a”ect our health
and determine whether all people have a fair opportunity to achieve their best possible health. Enabling these conditions is just too big for governmental public health
to take on alone and certainly too big for health care service providers. Instead,
across sectors like housing, transportation, education, and economic development,
we need to consider the health e”ects of our decisions. !ere are glimmers where
this is already happening, for example, with the Culture of Health Prize (www.rwjf
.org/prize). But the glimmers need to become beacons if we as a nation are going to
shift from focusing on treating people who are sick to keeping people well.
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146 Part II. Keeping Americans Healthy
CONCLUSION
Public health di!ers from individual health care by focusing on entire populations
and designing policies, systems, services, and environments to achieve not only
the absence of disease, but a complete sense of well-being. If public health goals
are to be met, however, some changes are needed: (a) a greater consensus that
the health of the individual is important to the community and society, (b) more
e!ective ways to address the upstream social determinants that are at the root
of today’s health problems and disparities in health outcomes, (c) more comprehensive approaches to addressing population health problems, and (d) a focus
on multisectoral collaborations because government cannot do it all. Sometimes
government must lead, and sometimes it must follow, but in the future, we will
#nd governmental public health departments walking hand in hand with their
many partners and building on the assets of the communities it serves to preserve
and protect the public’s health.
CASE EXERCISE—CURE FOR BIRTH DEFECTS POLICY OPTIONS
You are an analyst for a federal agency. Congress has ordered your agency to come up with
policy options to find a cure for birth defects. You recognize that (a) birth defects have many
causes, (b) some can be treated, (c) some can also be prevented, but (d) not all of them can
be “cured.” You analyze this issue using the core functions of public health and the problemsolving process outlined under Core Functions of Public Health.
Based on the information about spina bifida in this chapter, you decide it should be the
focus for policymaking on birth defects. You decide to propose four options to Congress: more
research on treatment of spina bifida, more health education for women about folic acid, more
promotion of birth control to reduce the proportion of unplanned pregnancies in the country,
and new regulations to increase the amount of folic acid in grain products. You may also see
other options, so be sure to discuss them!
1. For each option, what would you need to know to determine effectiveness? Costeffectiveness?
2. What are the tradeoffs in each course of action?
3. Who would support this option, who would be opposed, and does it matter?
4. Is there a single best option? Why?
t
DISCUSSION QUESTIONS
1. What examples of public health and prevention can you identify in your daily life?
How do you believe they have a!ected your health?
2. Pick two such examples in either your own life or the text; then research which federal
laws and agencies, state laws and agencies, local health departments, nonpro#t organizations, or city and county government units a!ect this aspect of your health. $e
more complete your answer, the better your answer is!
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Chapter 6. Public Health: A Transformation in the 21st Century 147
3. What is the di!erence between individual- and population-based prevention e!orts?
For population-based prevention, what is the di!erence between universal and targeted strategies?
4. What does a population focus take in terms of planning, consensus building, and
resources for implementation? In the case of safety belts? Heart attack prevention?
5. Why can’t public health do more to achieve its goals? Name some of the political,
legal, logistical, and resource challenges.
6. What should be left to the public sector to do, to achieve public health goals? Where
could the private sector do more to help? Why?
7. Give some examples of the constituencies that public health will have to reach in
order to implement its goals in the case of chronic disease prevention and in the case
of childhood immunizations. How are the constituencies similar or di!erent for these
goals?
8. How would you personally balance individual liberty, the common good, and social
justice in public health? What would have to change to achieve this balance? Give
speci”c examples in the area of public health you are best acquainted with.
9. In what ways might public health build a stronger constituency?
REFERENCES
Altman, D. (2007). Leadership training for DrPH students. Greensboro, NC: Center for Creative Leadership, November 2007 (unpublished).
Beauchamp, D. E., & Steinbock, B. (1999).
New ethics for the public’s health. New York:
Oxford University Press.
Braveman, P. (2006). Health disparities and health equity: Concepts and measurement.
Annual Review of Public Health, 27, 167–194.
Braveman, P. Arkin, E., Proctor, D., & Plough, A. (2017). What is health equity? Retrieved
from https://www.rwjf.org/en/library/research/2017/05/what-is-health-equity-.html
Caplan, J., Ben-Moshe, K., Dillon, L., Gould, S., Lee, M., Lyles, K., … Rudolph, L. (2017).
California health in all policies task force. Retrieved from http://sgc.ca.gov/programs/
hiap/
Centers for Disease Control and Prevention. (1999). Ten great public health achievements—
United States, 1900–1999.
Morbidity and Mortality Weekly Report, 48(12), 241–243.
Retrieved from http://www.cdc.gov/mmwr/preview/mmwrhtml/00056796. htm
Centers for Disease Control and Prevention. (2011). Ten great public health achievements:
United States, 2001–2010.
Morbidity and Mortality Weekly Report, 60, 619–623.
Retrieved from http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6019a5.htm
Centers for Disease Control and Prevention. (2013). !e public health system and the 10
essential public health services. Retrieved from https://www.cdc.gov/stltpublichealth/
publichealthservices/essentialhealthservices.html
Center for Public Program Evaluation. (2011).
!e tobacco campaigns. Princeton, NJ:
Robert Wood Johnson Foundation. Retrieved from https://www.rwjf.org/en/library/
research/2011/04/the-tobacco-campaigns-.html
Dana, D. A., & Nadler, J. (2018). Soda taxes as a legal and social movement.
Northwestern Journal of Law and Social Policy, 13(2), Article 3. Retrieved from https://scholarly
commons.law.northwestern.edu/cgi/viewcontent.cgi?article=1167&amp=&context=
njlsp&amp=&sei-redir=1&referer=https%253A%252F%252Fwww.bing.com%252Fs
EBSCOhost – printed on 3/9/2021 10:14 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
148 Part II. Keeping Americans Healthy
earch%253Fq%253DSoda%252Btaxes%252Bas%252Ba%252Blegal%252Band%252B
social%252Bmovement%2526src%253DIE-TopResult%2526FORM%253DIETR02%
2526conversationid%253D#search=%22Soda%20taxes%20as%20legal%20social%20
movement%22
Green, L. W., & Kreuter, M. (2005).
Health promotion planning: An educational and ecological approach. (4th ed.). St. Louis, MO: McGraw-Hill.
Health Research & Educational Trust. (2016).
Creating e!ective hospital-community partnerships to build a culture of health. Chicago, IL: Author. Retrieved from http://www.hpoe.
org/Reports-HPOE/2016/creating-e!ective-hospital-community-partnerships.pdf
Health Research & Educational Trust. (2017).
A playbook for fostering hospital-community
partnerships to build a Culture of Health
. Chicago, IL: Author. Retrieved from https://
www.aha.org/system/”les/hpoe/Reports-HPOE/2017/A-playbook-for-fostering-hospitalcommunity-partnerships.pdf
Hodge, J. (2012). #e evolution of law in biopreparedness.
Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science, 10(1), 38–48. doi:10.1089/bsp.2011.0094
Institute of Medicine. (2002).
“e future of the public’s health in the 21st century. Washington, DC: National Academies Press.
Institute of Medicine. (2011).
For the public’s health: Revitalizing law and policy to meet new
challenges
. Washington, DC: National Academies Press.
Institute of Medicine (2012).
Accelerating progress in obesity prevention: Solving the weight of
the nation
. Washington, DC: National Academies Press.
Jones, J. H. (1993).
Bad blood: “e Tuskegee syphilis experiment. (new and expanded edition).
New York: Free Press.
Kindig, D. (2015). What are we talking about when we talk about population health?
Health
A!airs Blog
. doi:10.1377/hblog20150406.046151
Kronstadt, J., Meit, M., Siegfried, A., Nicolaus, T., Bender, K., & Corso, L. (2016). Evaluating the impact of national public health department accreditation—United States,
2016.
Morbidity and Mortality Weekly Report, 65(31), 803–806. doi:10.15585/mmwr.
mm6531a3
Kuehnert, P. L., & McConnaughay, K. S. (2012). Tough choices in tough times: Enhancing
public health value in an era of declining resources.
Journal of Public Health Management and Practice, 18(2), 115–125. doi:10.1097/PHH.0b013e3182303616
Leider, J. P., Resnick, B. A., Sensenig, A. L., Alfonso, N., Brady, E., Colrick, I. P., & Bishai,
D. M. (2016). Assessing the public health activity estimate from the National Health
Expenditure Accounts: Why public health expenditure de”nitions matter.
Journal of
Health Care Finance
, 43(2), 226–240.
Leviton, L. C., Needleman, C. E., & Shapiro, M. (1997).
Confronting public health risks: A
decision maker’s guide
. #ousand Oaks, CA: Sage.
Mays, G. P., & Smith, S. A. (2011). Evidence links increases in public health spending to declines in preventable deaths.
Health A!airs, 30(8), 1585–1593. doi:10.1377/
hltha!.2011.0196
National Association of County and City Health O$cials. (2017b).
2016 national pro#le of
local health departments
. Washington, DC: Author. Retrieved from https://nacchovoice.
naccho.org/2017/01/25/2016-national-pro”le-of-local-health-departments
National Center for Health Statistics. (2017).
Health, United States, 2016: With chartbook
on long-term trends in health
. Hyattsville, MD: U.S. Department of Health and Human
Services. Retrieved from https://www.cdc.gov/nchs/data/hus/hus16.pdf
National Highway Tra$c Safety Administration (2017). Tra$c safety facts: Occupant protection in passenger vehicles. Washington, DC: U.S. Department of Transportation.
Retrieved from https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812374
National Network of Public Health Institutes (2018). Network Engagement. Retrieved from

Network Engagement


EBSCOhost – printed on 3/9/2021 10:14 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 6. Public Health: A Transformation in the 21st Century 149
Network for Public Health Law. (2015). Emergency declaration authorities across all states
and DC. Retrieved from https://www.networkforphl.org/_asset/gxrdwm/Emergency
-Declaration-Authorities.pdf
Robert Wood Johnson Foundation. (2017). Evaluation of Voices for Healthy Kids program. Retrieved from https://www.rwjf.org/en/library/research/2017/06/evaluation-of
-voices-for-healthy-kids-program.html
Schae!er, L. D., Schultz, A. M., & Salerno, J. A. (Eds.). (2009).
HHS in the 21st Century.
Washington, DC: National Academies Press.
Segal, L. M., & Martin, A. (2017). A funding crisis for public health and safety: State-bystate public health funding and key health facts. Washington, DC: Trust for America’s Health. Retrieved from https://www.tfah.org/report-details/a-funding-crisis-for
-public-health-and-safety-state-by-state-public-health-funding-and-key-health-facts
-2017/
Sondik, E. J., Huang, D. T., Klein, R. J., & Satcher, D. (2010). Progress toward meeting the
Healthy People 2010 goals and objectives.
Annual Review of Public Health, 31, 271–281.
doi:10.1146/annurev.publhealth.012809.103613
Trust for America’s Health. (2015).
Outbreaks: Protecting Americans from infectious disease.
Retrieved from: https://www.tfah.org/report-details/outbreaks
U.S. Department of Health and Human Services. (2013).
Healthy People 2020. Retrieved
from https://www.healthypeople.gov
U.S. Preventive Services Task Force. (2018).
Recommendations for primary care practice.
Retrieved from https://www.uspreventiveservicestaskforce.org/BrowseRec/Index/
browse-recommendations
Wandersman, A., Osher, D., Winfrey, K., Scardaville, M., Berg, J. & Pan, J. (2018). County
Health Rankings and Roadmaps: Findings from a national study of county health o”-
cials. Washington, DC: American Institutes for Research.
EBSCOhost – printed on 3/9/2021 10:14 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
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7
Health and Behavior
Brian Elbel, Elaine F. Cassidy, Matthew D. Trujillo,
and C. Tracy Orleans
LEARNING OBJECTIVES
Learn about the contributions of personal health practices (e.g., tobacco use, risky
drinking, physical activity, diet, obesity) to individual and population health status
Understand how strategies for changing individual and population health
behavior have evolved, and identify the targets and characteristics of effective interventions
Learn about the social, policy, and environmental determinants of healthy and
unhealthy behaviors and the disparities and inequities in exposure to them
Understand models and prospects for addressing behavioral risk factors
through national health care quality improvement efforts and health reform
Describe provider-oriented interventions for changing individual and population health behavior and their influence in achieving national health care
quality objectives
KEY TERMS
behavioral risk factors
chronic care model
energy balance equation
practice ecology model
quality improvement
social determinants of health
social ecological models
social marketing strategies
© Springer Publishing Company DOI: 10.1891/9780826172730.0007
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

152 Part II. Keeping Americans Healthy
TOPICAL OUTLINE
Behavioral risk factors: overview and national goals
Changing health behavior: closing the gap between recommended and
actual health lifestyle practices
The role and impact of primary care interventions
Multilevel models for population-based health behavior change
Changing provider behavior: closing the gap between best practice and
usual care
INTRODUCTION
Health care professionals, who live in a world in which often heroic e!orts are
needed to save lives, can easily believe that medical care is the most important
instrument for maintaining and ensuring health.
“is chapter explains, however, that behavioral
choices—and the social, environmental, and policy factors that in#uence them—are key determinants of Americans’ health and well-being.
To some extent, the task of helping people adopt healthy lifestyles falls into multiple
realms, including behavioral psychology, public health, and even social marketing. However,
current models for shaping healthy lifestyles
include major roles for medical providers and the
health care systems in which they practice. “erefore, clinicians, health care payers, managers of provider organizations, and health care policy makers need to
understand and address the powerful behavioral determinants of health and illness.
“is chapter begins with a brief overview of the major
behavioral risk factors that contribute to the growing burden of preventable chronic disease in the
United States—tobacco use; alcohol abuse; and sedentary lifestyle and unhealthy
diet, including the joint e!ects sedentary lifestyle and unhealthy diet have on
adult and childhood obesity and overweight. “ere is now voluminous and incontrovertible evidence for the roles these behaviors and risk factors play in shaping
public health, along with growing knowledge of the power of
social determinants of health and health outcomes: education; income; access to safe places to
walk, bike, and play; and healthy a!ordable foods (as noted in Chapters 5 and 6).
“e chapter then describes the progress that has been made over the past
four decades to help adults modify these risk factors by intervening both at the
individual level—with behavioral and clinical treatments that can be delivered
in health care settings—and at the broader population level—with public health
environmental and policy changes and social marketing and media strategies that
Chronic diseases such as
cancer and heart and lung
disease have now replaced
acute and infectious diseases
as the major causes of death
in the United States. Yet a
large part of the burden these
illnesses cause is actually
preventable.*
*To hear the podcast, go to https://bcove.video/2PfVAmp or access the ebook on Springer Publishing ConnectTM.
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Chapter 7. Health and Behavior 153
can prompt and support the development and maintenance of healthy behavior.
!eoretical advances (e.g., social learning theory and stage-based and social ecological models) have led to a clear understanding of the need for broad-spectrum,
multilevel ecological approaches, and new science-based clinical and community
practice guidelines have been developed to guide them.
While it is increasingly widely understood that social determinants play a major
role in shaping health and health outcomes multifaceted e”orts have been successful in encouraging clinicians to use proven health behavior change protocols in their
interactions with patients. Many parallels can be drawn between what we have learned
about ways to promote health through individual behavior change and what we have
learned about strategies to improve health care quality through provider behavior
change. Health reform legislation at the local, state, and national levels increasingly
recognizes that the signi#cant progress in both areas holds unprecedented potential
for breakthrough improvements in national health status and health care quality.
BEHAVIORAL RISK FACTORS: OVERVIEW AND NATIONAL GOALS
Acute and infectious diseases are no longer the major causes of death, disease,
and disability in the United States. Today, chronic diseases—cancer, heart, and
lung disease—are the nation’s leading causes of illness and death (Mokdad et al.,
2018). Given the continued aging of the population, both the prevalence and the
costs of chronic illness care will continue to rise. Yet, much of the growing burden
of chronic disease is preventable.
More than two decades ago, McGinnis and Foege (1993) estimated that 50% of
the mortality from the 10 leading causes of death could be attributed to personal
behavior. A more recent analysis by Mokdad and colleagues (2018) reinforced this
estimate, #nding that tobacco use, high body mass index (BMI), dietary risk, and
alcohol and drug abuse are the four largest risk factors for mortality in the United
States. Moreover, research #ndings over the past two decades have established that
modifying these behavioral risk factors leads to improved health and quality of life
and to reduced health care costs and burden (Orleans, Ulmer, & Gruman, 2004).
Almost 90% of Americans have reported they have at least one of these risk
factors, and 52% have reported having two or more, with the highest prevalence of
individual and multiple behavioral risks occurring in low-income and racial and
ethnic minority groups (Coups, Gaba, & Orleans, 2004). Given these statistics,
it is not surprising that many of the leading health indicators tracked by
Healthy
People 2020
(U.S. Department of Health and Human Services, 2011)which
updates the nation’s primary objectives for promoting longer, healthier lives and
eliminating health disparities—relate to healthy lifestyles. Although recent analyses suggest that our nation had an uneven record in achieving
Healthy People
2010
(U.S. Department of Health and Human Services, 2000) targets in previous
years (see Chapter 6), more well-rounded improvements across multiple health
indicators are needed in order to advance quality of life and signi#cantly reduce
health disparities (Koh, 2010). Selected indicators for tobacco use, alcohol abuse,
physical activity, diet, and obesity are shown in Table 7.1.
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154 Part II. Keeping Americans Healthy
TABLE 7.1 SELECTED HEALTHY PEOPLE 2020 OBJECTIVES: BEHAVIORAL RISK FACTORS

BASELINE a (%) 2020 GOALS (%)
Tobacco Use
Cigarette smoking
■■ Adults (18 years and older)
■■ Adolescents (grades 9 through 12)
Exposure to secondhand smoke
■■ Children (6 years and younger)
24
35
27
12
16
10
Alcohol Misuse/Risky Drinking
Proportion of adults who drank excessively
during past 30 days
Binge drinking
■■ Adults (18 years and older)
■■ Adolescents (12 to 17 years old)
Deaths from alcohol-related auto crashes
b
28
27
10
.39
25
24
9
.38
Physical Activity
Regular moderate physical activity
■■ Adults (18 years and older)c
■■ Adolescents (grades 9 through 12)d
Vigorous physical activity
(at least 3 days per week for 20 minutes)
■■ Adults (18 years and older)c
■■ Adolescents (grades 9 through 12)d
15
27
23
65
30
35
30
85
Diet and Overweight (Older Than Age 2)
■■ Proportion of people eating at least two
servings of fruit daily
■■ Proportion of people eating at least three
servings of vegetables (at least one of
which is dark green or orange) daily
■■ Proportion of people eating at least six
servings of grain products (at least three
being whole grains) daily
Overweight and obesity
■■ Obesity among adults (aged 20 years and
older)
■■ Overweight and obesity among children
and adolescents (aged 6 to 19)
28
3 7
23
11
75
50
50
15
5

a Baseline data extracted from sources between 1988 and 1999.
b Per 100 million vehicle miles traveled.
c At least 30 minutes per day.
d At least 30 minutes 5 or more days per week.
Source: U.S. Department of Health and Human Services. (2011). Healthy People 2020: Understanding and improving health. Washington, DC: Author.
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Chapter 7. Health and Behavior 155
!e past decade of social science, behavior change, and population health
research also has revealed the profound sociodemographic inequities in access
to community-level and health care supports for healthy behavior and health
behavior change (Adler, Bachrach, Daley, & Frisco, 2013). !ese inequities are
powerful drivers of health disparities and threats to the health of the nation.
In fact, the Robert Wood Johnson Foundation’s Commission for a Healthier
America convened in 2013 to emphasize that the nation’s health depends
fundamentally on ensuring equitable access to the supports and resources
needed for making healthy choices in the environments where people live,
learn, work, and play.
Tobacco Use
Tobacco use causes more preventable deaths and diseases than any other behavioral
risk factor, including at least 480,000 premature deaths from several forms of
cancer, heart, and lung disease (U.S. Department of Health and Human Services
[DHHS], 2014). It accounts for annual health care costs of $170 billion, in addition
to an estimated $156 billion in lost productivity costs (Xu, 2014; DHHS, 2014).
Smoking remains the single most important modi”able cause of poor
pregnancy outcomes, accounting for 20% of low birth weight deliveries, 8%
of preterm births, and 5% of perinatal deaths. For infants and young children,
parental smoking is linked to sudden infant death syndrome (SIDS), respiratory
illnesses, middle ear infections, and decreased lung function, with annual
direct medical costs estimated at $4.6 billion. Quitting, even after 50 years
of smoking, can produce signi”cant improvements in health and less use of
health care services.
Although the adult smoking prevalence rate decreased to 15.5% in 2016 (Jamal
et al., 2018), smoking prevalence among adults remains well above the
Healthy
People 2020
target of 12% (Ward, Barnes, Freeman, & Schiller, 2012). Nearly one
in “ve adults still smokes, with the highest rates (29%) among members of lowincome populations (Centers for Disease Control and Prevention [CDC], 2018).
And even though rates of smoking during pregnancy also have dropped in the
past decade, 10% of women reported in 2011 that they smoked during pregnancy
(CDC, 2017). Vaping and e-cigarette use is also a broad concern, particularly
among youth, with controversy over its potential for harm reduction at the same
time (as noted below).
Each day, more than 3,200 children and teens become new smokers, and 30%
of those young people will become addicted to tobacco (DHHS, 2014). Some 18%
of high school students smoke cigarettes, and more than 8 million Americans,
mostly adolescent and young adult males, report using smokeless tobacco, which
is linked to oral cancer, gum disease, and tooth loss (American Cancer Society,
2012; CDC, 2013d). Furthermore, public health and tobacco control experts are
concerned that the availability and marketing of electronic cigarettes (e-cigarettes)
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156 Part II. Keeping Americans Healthy
may reverse recent declines in youth tobacco use initiation and tobacco addiction by re-glamorizing smoking and igniting lifelong nicotine addiction (Richtel, 2013). In addition, the most recent survey data from 2009 and 2010 suggest
that 42% of children ages 3 to 11 and 28% of adult nonsmokers were exposed to
secondhand smoke. Socioeconomics may play an important role in in!uencing
smoking behaviors and exposure to tobacco-control policies. A study by Giovino
and colleagues (2009) revealed that increasing median household income was
associated with decreasing prevalence of smoking, higher cessation rates among
smokers, higher state cigarette excise tax rates, and stronger legal protections
from tobacco smoke pollution.
Alcohol Use and Misuse
“e millions of Americans who abuse or misuse alcohol include those who are
alcohol dependent as well as those who engage in drinking behavior that is risky
(e.g., because they drive after drinking alcohol) or harmful (e.g., because they
su#er the e#ects of episodic binge drinking). About 5% of the U.S. adult population meets the criteria for alcoholism or alcohol dependence, and another 20%
engages in harmful or risky drinking, de$ned as drinking more than 1 drink per
day or 7 drinks per week for women, more than 2 drinks per day or 14 drinks
per week for men; periodic binge drinking (5 or more drinks on a single occasion for men; 4 or more for women); drinking and driving; or drinking during
pregnancy.
“e 2017 Monitoring the Future Survey indicated that 16.6% of high school
seniors reported that they engaged in binge drinking in the two weeks before the
survey (Miech et al., 2018). Alcohol misuse is most common in young adults,
particularly among White and Native American men. And excessive alcohol use
among U.S. college students remains a problem with college students, compared
with their noncollege peers, reporting more instances of heavy drinking and
being drunk (Johnston, O’Malley, Bachman, & Schulenberg, 2013a). It should
be noted, however, that low and moderate levels of alcohol use in adults (below
those de$ned as risky) have been linked to modest health bene$ts, such as lowered risk for heart disease.
Alcohol misuse accounts for approximately 80,000 deaths and more than
2 million years of potential life lost a year (CDC, n.d.). “e estimated cost of
excessive alcohol use was recently estimated at $249 billion (CDC, 2016). Of this
$249 billion, $191 billion was attributed to binge drinking, $24 billion to underage
drinking, and $5.5 billion to drinking during pregnancy (Sacks, Gonzalez,
Bouchery, Tomedi, & Brewer, 2015).
Factors associated with alcohol access, such as alcohol retail density and
alcohol-related advertising, can vary by certain neighborhood sociodemographic
characteristics. For instance, compared with individuals living in high-income,
high-education, mostly White neighborhoods, those living in low-income, loweducation, predominantly minority neighborhoods have relatively higher densities of alcohol retail outlets available to them (Berke et al., 2010). Disparities
also exist in completion rates for alcohol treatment, with people from minority
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Chapter 7. Health and Behavior 157
backgrounds having signi!cantly lower completion rates than their White counterparts (Saloner & LêCook, 2013).
“e health bene!ts of treating alcohol dependence are well established,
and the U.S. Preventive Services Task Force (USPSTF) found that brief behavior change interventions to modify risky drinking levels and practices produced
positive health outcomes detectable 4 or more years later.
Physical Activity and Sedentary Lifestyle
“e health risks associated with physical inactivity and sedentary lifestyle are
numerous. “ey include heart disease, type 2 diabetes, stroke, hypertension,
osteoarthritis, colon cancer, depression, and obesity (Micha et al., 2017; Yu et al.,
2016). Engagement in physical activity helps to maintain healthy bones, muscles,
joints, and weight, and it is also associated with positive psychological bene!ts.
Physical activity has been shown to reduce feelings of anxiety and depression and
promote feelings of well-being.
In 2011, 48% of adults engaged in at least 75 minutes per week of moderate-tovigorous aerobic exercise, a proportion that met the
Healthy People 2020 guideline for recommended physical activity among adults. In comparison, national
guidelines recommend at least 60 minutes of moderate-to-vigorous physical
activity every day for children and teens, but the majority of young people do
not meet this goal (Troiano et al., 2008). Sedentary behavior also has risen for
U.S. youth, with the amount of time young people spend in sedentary behaviors, including all forms of screen time, increasing dramatically in recent years
(Rideout, Foehr, & Roberts, 2010). Sedentary behaviors are independently linked
to a higher risk for obesity, diabetes, and other chronic health problems among
adults, even those who are physically active and consume healthy diets (Hamilton, Hamilton, & Zedric, 2007).
Re$ecting the power of social determinants of health, the adults, youth, and
families most at risk for inactivity include those with lower income and education
levels, those living below the poverty line in all racial and ethnic groups, members
of several racial/ethnic minority groups (e.g., African Americans, Hispanics), and
those with disabilities. Sallis and colleagues (2011) found neighborhood-level
income disparities for numerous variables a%ecting everyday physical activity.
For instance, residents of high-income neighborhoods reported more favorable
pedestrian and building facilities, safety from tra&c, safety from crime, and access
to recreation facilities than residents of low-income areas. Furthermore, growing evidence shows that within the United States, African American and Latino
youth, and youth living in lower-income communities, do not have as many built
and social environmental supports for physical activity as White children or those
living in middle- and higher-income communities (Taylor & Lou, 2012).
Although the societal costs of physical inactivity are di&cult to quantify, the
CDC has estimated that nearly $95 billion (adjusted to 2009 dollars) would be
saved if all inactive American adults were to become active (CDC, 2013c). In
addition to providing objectives for physical activity behaviors,
Healthy People
2020
includes objectives for policies that facilitate physical activity, particularly
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158 Part II. Keeping Americans Healthy
Four of the 10 leading causes of
death—coronary heart disease,
some cancers, stroke, and type 2
diabetes—are associated with
an unhealthy diet.
for children. !ese policy objectives focus on policies that promote physical activity in childcare settings as well as during recess and physical education classes in
schools.
Diet and Nutrition
Approximately 45% of deaths from heart disease, stroke, and type 2 diabetes in
2012 can be attributed to poor diet (Micha et al., 2017). Poor diet and nutrition also has contributed to a surge in overweight and obesity that has reached
epidemic proportions over the last 20 years, particularly within low-income and
minority populations with limited access to healthy a”ordable foods and greater
advertising for unhealthy foods.
Four of the 10 leading causes of death—coronary heart disease, some
cancers, stroke, and type 2 diabetes—are associated with an unhealthy diet. !e
relationships between dietary patterns and health outcomes have been examined
in a wide range of observational studies and randomized trials with patients at
risk for diet-related chronic diseases. !e majority of studies suggest that people
consuming diets that are low in fat, saturated fat, trans fatty acids, and cholesterol and high in fruits, vegetables, and whole grain products containing #ber
have lower rates of morbidity and mortality from coronary artery disease and
several forms of cancer (Micha et al., 2017;
Yu et al., 2016). Moreover, dietary change
has been found to reduce risks for many
chronic diseases as well as for overweight
and obesity.
!e 2010 Dietary Guidelines for Americans recommended that Americans reduce
their caloric intake from solid fats and
added sugars and increase the amount of fruits, vegetables, and whole grains
in their diets. Again, as Table 7.1 shows, gaps exist between the recommended
guidelines and actual diets of American children and adults. Numerous studies have documented wide racial, ethnic, and socioeconomic inequalities in
access to healthy food outlets, particularly chain supermarkets (Powell, Han, &
Chaloupka, 2010), and that access to healthy food is associated with lower
risks of obesity and diet-related chronic
diseases. In 2010, PolicyLink and the Food
Trust published “!e Grocery Gap: Who
Has Access to Healthy Food and Why It
Matters,” a comprehensive review of two
decades of food access research (Treuhaft & Karpyn, 2010). !is review found
evidence that access to healthy food was
particularly limited for low-income communities, communities of color, and rural
communities.
The 2010 Dietary Guidelines
for Americans recommended
that Americans reduce their
caloric intake from solid
fats and added sugars and
increase the amount of fruits,
vegetables, and whole grains
in their diets.
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Chapter 7. Health and Behavior 159
Obesity
As poor dietary habits and physical inactivity have become endemic, national
obesity rates have soared. Nearly 70% of all American adults are overweight or
obese—up almost 10% from just one decade ago. !is trend is alarming, given
the strong links between obesity and many chronic diseases. Total global expenditures related to overweight- and obesity-related problems were estimated at
nearly $2 trillion—a number that will continue to increase without e”ective
interventions to teach and reinforce healthy behavior and change the physical
and media environments and economic incentives that enable, promote, and supply healthy diets. Even modest weight loss (e.g., 5% to 10% of body weight) over a
period of 12 to 24 months can reduce these risks and prevent the onset of diabetes among adults with impaired glucose tolerance.
More alarming is the prevalence of overweight and obesity among children
and adolescents (ages 6 to 19), which has increased signi#cantly over the past
three decades. Like adults, overweight youth are at risk for coronary heart disease, hypertension, certain cancers, and even type 2 diabetes early in life. !e
highest and fastest-rising rates of childhood obesity are seen among children
and adolescents of African American or Latino descent and children (particularly girls) from low-income backgrounds and residing in communities with historically limited access to the resources and opportunities for physical activity
and healthy diets—making e”orts to reach these groups a public health priority
(White House Task Force on Childhood Obesity, 2010).
Reducing obesity among adults, adolescents, and children are leading
health goals for
Healthy People 2020, which set the target rates of adult and
child and adolescent obesity at 31% and 15%, respectively. In 2012, the Institute
of Medicine (IOM) released the report
Accelerating Progress in Obesity
Prevention: Solving the Weight of the Nation
, which identi#ed #ve critical
environments in which reform was urgently needed to prevent obesity:
(a) environments for physical activity, (b) food and beverage environments,
(c) message environments, (d) health care and work environments, and (e)
school environments. In a 2013 follow-up report,
Creating Equal Opportunities
for a Healthy Weight
, the IOM focused on the research, policies, and actions
most needed to ensure greater equity in opportunities to achieve a healthy
weight and address the pervasive disparities in obesity prevalence and health
and economic tolls in the United States.
CHANGING HEALTH BEHAVIOR: CLOSING THE GAP BETWEEN
RECOMMENDED AND ACTUAL HEALTH LIFESTYLE PRACTICES
In 1982, the IOM published Health and Behavior, one of the #rst scienti#c documents to establish convincingly the links between behavioral risk factors and
disease, and to identify the basic biopsychosocial mechanisms underlying them.
!e IOM recommended intensi#ed social and behavioral science research to
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160 Part II. Keeping Americans Healthy
develop interventions that could help people change their unhealthy behaviors
and improve their health prospects. !is section presents a broad overview of the
ensuing research—research that has attempted to close the gap between what we
know and what we do when it comes to adopting and fostering healthy lifestyles.
A Brief History of Behavior Change Interventions
Early behavior change e”orts in the 1970s and 1980s relied primarily on public
education campaigns and individually oriented health education interventions.
!ey were guided by the health belief model and similar theories (the theory of
reasoned action, the theory of planned behavior), which emphasized the cognitive
and motivational in#uences on health behavior change and recommended raising
awareness of the harms of unhealthy behavior versus the bene$ts of behavior
change as a primary intervention. !ese cognitive/decisional theories were based
on an underlying premise that people’s intentions and motivations to engage in
behavior strongly predict their actually doing so (i.e., “if you tell them, they will
change”). Because raising health risk awareness and motivation was a primary
goal, the doctor–patient relationship was seen as a unique and powerful context
for e”ective health education.
Both population-level and individual clinical health education e”orts based
on these theories achieved initial success. For instance, tens of thousands of
smokers quit in response to the publication of the $rst U.S. Surgeon General’s
Report on Smoking and Health in 1964 and the multiple public education campaigns that followed.
By 2000, hundreds of studies had con$rmed that even brief physician advice
could be an important catalyst for health behavior change—boosting the number
of patients who quit smoking for at least 24 hours or who made some changes
in their diet and activity levels. But a growing body of research found these successes to be modest—the interventions were important and perhaps
necessary
for changing people’s health knowledge, attitudes, and beliefs, as well as broader
social norms, but
not su!cient to produce lasting behavior change. Cumulative
$ndings made it clear that people needed not only motivation, but also new skills
and supports to succeed in changing deeply ingrained health habits, including
supportive community, social, and media environments.
!ese $ndings spurred the development and testing of expanded
multicomponent, cognitive behavioral treatments designed not only to (a) raise
perceptions of susceptibility to poor health outcomes and bene$ts of behavior
change, but also to (b) teach the skills required to replace ingrained unhealthy
habits with healthy alternatives and to (c) help people make changes in their natural
(home, work, social) environments to assist them in successfully establishing and
maintaining new behaviors. Social learning theory, which emphasized interactions
between internal and external environmental in#uences on behavior, provided the
primary theoretical basis for this evolution, and it remains the dominant model
for e”ective cognitive behavioral health behavior change interventions.
Lifestyle change interventions derived from social learning theory combined
education and skills development. !ey included techniques such as modeling
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Chapter 7. Health and Behavior 161
and behavioral practice to help people learn not just why, but how, to change
unhealthy habits. For instance, they taught e!ective self-management and behavior change skills, such as goal-setting, self-monitoring, and stress management
skills for people who had relied on smoking, eating, or drinking as coping tactics. “ey taught skills for reengineering the person’s immediate environments,
replacing environmental cues and supports for unhealthy behavior with new cues
and supports for healthy ones (e.g., removing ashtrays; replacing unhealthy highcalorie foods with healthy alternatives; #nding exercise buddies; and avoiding
high-risk events, such as o$ce parties at which risky drinking was expected).
“e “nudge” principles of modern behavioral economics that, for instance,
are used to advocate for replacing soda with water and French fries with apple
slices in fast-food children’s meals have their roots in these approaches. Another
principle was that problem solving should start with helping people set realistic,
personal behavior change goals and go on to address the unique barriers and
relapse temptations they face. Finally, new social learning theory treatments
taught patients to take a long-range perspective, viewing repeated attempts over
time as part of a cumulative learning process rather than as signs of failure.
E!ective multicomponent treatments were initially delivered and tested in
multisession, face-to-face group or individual clinic-based programs, typically
o!ered in clinical or medical settings and usually led by highly trained (e.g., MD,
PhD) professionals. Results were extremely encouraging, with substantial behavior change—for example, smoking quit rates as high as 40%—maintained 6 to
12 months after treatment. However, participants were typically self-referred or
recruited based on high readiness or motivation for change and thus represented
a small fraction of those who could bene#t.
“e next push was to distill core elements of this treatment approach
into lower-cost formats with much wider reach. “ese formats included
paraprofessional-led worksite clinics, self-help manuals and programs, and brief
primary care counseling. Absolute treatment e!ects were smaller—for example,
20% long-term smoking quit rates—but potential population e!ects were much
greater. Only 5% to 10% of smokers might ever attend intensive clinics, whereas
70% of U.S. smokers might receive brief, e!ective tobacco interventions during
visits with their primary care physicians, introducing a context that could double
the nation’s annual quit rate. Access to telephone quitlines providing free or
no-cost counseling and medication proved equally e!ective and had the bene#t
of better reaching smokers in sociodemographic populations with limited access
to high-quality health care (Schlam & Baker, 2013).
Development of the stages-of-change model in the mid-1980s accelerated the
shift from individual to population intervention models and has had a profound,
lasting e!ect on the design and delivery of health behavior change programs.
Studying how people went about changing on their own, Prochaska and DiClemente (1983) discovered that health behavior change was a multistage process:
■■ Precontemplation: no plans to change behavior; behavior is not seen as a problem
■■ Contemplation: serious plans to change behavior within the next 6 months, weighing
the pros and cons, and building supports and con#dence
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162 Part II. Keeping Americans Healthy
■■ Preparation: plans to change are imminent; small initial steps are taken
■■ Action: active attempts are made to quit smoking, drink less, become more active, or
change to a healthier diet and to sustain changes for up to 6 months
■■ Maintenance: change is sustained beyond 6 months
■■ Relapse: the individual returns to any earlier stage and begins to recycle through the
earlier stages
Based on these !ndings, di”erent skills, knowledge, and types of treatment
were recommended to help people in each stage; motivational and educational
interventions were helpful to people in the precontemplation and contemplation
stages, and active cognitive behavioral interventions were needed for those in
the preparation, action, and maintenance stages. Many population surveys found
that, at any given time, the vast majority of people (80%) are in the precontemplation and contemplation stages, which helped to explain why so few enrolled
in weight-loss or quit-smoking clinics, even when these were free and accessible.
#e stages-of-change model has been successfully applied to numerous behavioral health risks and has helped people with multiple risk factors make progress
in changing several at the same time. One of the greatest e”ects of this model was
to propel a dramatic shift away from one-size-!ts-all approaches to individualized, stage-tailored strategies that could be applied e”ectively to entire populations—in communities, worksites, and health care settings—assisting people at
all stages of change, not just the motivated volunteers in action stages, but also
those needing motivation and support to reach action stages. #e model stimulated the development and wider use of e”ective motivational interventions for
clinical settings, especially motivational interviewing, which seeks to help people
strengthen their determination to change behavior (Emmons & Rollnick, 2001).
Originating as they did in the study of successful self-change, stages-of-change
models fueled a burgeoning movement toward low-cost self-help tools and treatment formats. Some tools capitalized on computer-based and interactive communication technologies to design and deliver print and web-based materials,
interactive video, and telephone interventions geared to the individual’s stage of
change. #ese treatments also addressed many other variables important for tailoring treatment methods and improving treatment outcomes—for example, degree
of nicotine addiction, unique behavior change assets, barriers, and cultural norms.
A !nal force in the evolution from individual to population-based approaches
was the emergence of
social marketing strategies, which apply the concepts
and tools of successful commercial marketing to the challenge of health behavior change. Basic marketing principles and methods—including market analysis,
audience segmentation, and a new focus on consumer wants and needs—catalyzed
the development of culturally appropriate communication and intervention
strategies for reaching underserved, high-risk, low-income, and racial/ethnic
minority populations for whom the prevalence of behavioral health risks is often
highest and access to health-promoting environments and resources is often
lowest. For instance, one model program employed social marketing strategies
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Chapter 7. Health and Behavior 163
to tailor a no-cost smoking cessation intervention to the needs of African American
smokers, using messages on Black-format
radio stations to promote culturally tailored
quitline counseling and materials. Results
included a higher quitline call rate and a
higher quit rate among African Americans
receiving the tailored intervention versus a generic one.
Social networks have been found to help motivate and support health behavior change in multiple areas—including weight loss, alcohol use, and smoking
cessation (Volpp & Mohta, 2017). !rough the Internet, individuals can share
and receive health information through open forums, such as those provided
through Facebook or Twitter. !ey can upload health-related apps or access
online communities intentionally designed to promote good health. Additionally,
social media platforms can provide a more stable source of support as individuals
switch social media user names less frequently than they do cell phone numbers
(Volpp & Mohta, 2017). !ese social media tools have made health interventions
more accessible than ever before by delivering strategic, e”ective, user-friendly
messages directly to target audiences, even right into people’s hands via their
hand-held mobile devices.
!e use of using social media tools to promote health has become so widespread in the past decade that the CDC now o”ers communication guidelines
and a social media toolkit for creating social messages in health communications
and activities (CDC, 2013a). Similarly, in 2013, the National Library of Medicine,
a division of the DHHS, announced its plan to install software that will mine
Facebook and Twitter to assess how Tweets and Facebook posts can be used as
change agents for health behaviors. Still, more research is needed to assess the
e”ect of social media on health behavior.
THE ROLE AND IMPACT OF PRIMARY CARE INTERVENTIONS
!e progress in health behavior change research and treatment set the stage for
the development of brief, individually oriented, primary care health interventions
that could be o”ered and tailored to all members of a practice, health plan, or
patient population.
!ese e”orts were based on a strong rationale for primary care interventions
to address behavioral health risks. Patient surveys have repeatedly found that
patients expect and value advice from their providers about diet, exercise, and
substance use and are motivated to act on this advice. Most primary care providers describe health behavior change advice and counseling as an essential part of
their role and responsibilities.
!e unique extended relationship that is the hallmark of primary care a”ords
multiple opportunities, over time, to address healthy behavior in a “string of
Social marketing strategies
apply the concepts and tools
of successful commercial
marketing to the challenge of
health behavior change.
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164 Part II. Keeping Americans Healthy
pearls” approach, capitalizing both on teachable moments—for example, introducing physical activity or diet counseling when test results show elevated cholesterol levels—and on a therapeutic alliance that often extends beyond the patient
to include key family members. Moreover, evidence suggests that the health bene!ts and cost-e”ectiveness of evidence-based preventive health behavior change
interventions rival, and frequently surpass, those of remedial disease treatments
(Maciosek et al., 2006).
In the minimal contact primary care counseling interventions that were distilled from the successful multicomponent models, the physician was seen as the
initial catalyst for change, providing brief motivational advice, social support,
and follow-up, with referral to other sta” members or community resources for
more intensive assistance. Stage-based and social marketing approaches held
the potential to reach and assist entire populations of patients, including those
not yet motivated for change and those in underserved and high-risk groups.
As social media introduced innovative options to promote health information,
computer-based, patient-tailored, and population-targeted interventions provided new ways to reduce provider burden. In fact, in 2013, the Community
Preventive Services Task Force added mobile phone–based quit smoking counseling to its roster of recommended tobacco control interventions.
Progress in developing e”ective minimal-contact, primary care interventions
occurred !rst in the area of smoking cessation, culminating in the development of an
evidence-based, practice-friendly intervention model now known as the 5 A’s: Ask,
Advise, Agree, Assist, Arrange follow-up. #e 5 A’s model was found to be e”ective
when used by a variety of health care providers (physicians, nurses, dentists, dental
hygienists), with as few as two to three minutes of in-o$ce provider time.
#e model starts with
asking about tobacco use, leading to clear and personal
advice to quit for smokers (or congratulations for quitters), and the o”er of
help. #e
agree step starts with assessing patient readiness to quit and goes
on to establish a goal and quitting plan. For those not ready to quit,
assistance
includes a recommended motivational intervention; for those who are ready
to quit,
assistance combines brief face-to-face or telephone-based behavior
change counseling with Food and Drug Administration (FDA)–approved
pharmacotherapy, such as nicotine gum, patch, nasal spray or inhaler; bupropion
hydrochloride (Zyban); varenicline (Chantix); or some combination of these,
unless medically contraindicated (e.g., in pregnancy).
Behavioral counseling was e”ective when provided through multiple formats—
self-help materials
and face-to-face or telephone counseling—and there is a clear
dose-response relationship between the amount of counseling and quit rates.
E”ective follow-up
arrangements include planned visits, calls, or contacts to
reinforce progress, adjust the quitting plan to better meet individual needs, or refer
for more intensive help. One-year quit rates for patients receiving these interventions
are typically two to three times higher than the 5% to 7% quit rates among people
who try quitting on their own. In fact, the CDC and Prevention and Partnership
for Prevention found the 5A’s intervention to be one of the most e”ective and coste”ective of all evidence-based clinical preventive services (Maciosek et al., 2006).
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Chapter 7. Health and Behavior 165
!e 5 A’s model has been formally adopted by the USPSTF as a unifying conceptual framework or guideline applicable to addressing all behavioral health risks,
including risky drinking, physical activity, diet, and obesity. In most cases, the
USPSTF found that counseling interventions could produce clinically meaningful,
populationwide health improvements that were sustained for at least 6 to 12 months.
Although there are many common elements, the speci”c intervention components
and intensity of recommended strategies vary from behavior to behavior, as does
their e#ectiveness with unselected versus high-risk patients. Primary care providers may intervene more forcefully with healthy patients when they are known to be
at high risk for a particular chronic disease, and patients at high risk may feel more
vulnerable and motivated to act on the advice and assistance they receive.
!e “rst step is always to
assess not only the relevant behavior (using a standard
health-risk appraisal or brief screening that can easily be administered in a busy
practice setting), but also the individual factors that are helpful in tailoring the
intervention, such as medical and physiologic factors, motives, barriers, patient’s
stage of change, social support, and cultural values. Based on this information, and
with reference to the patient’s immediate health concerns and symptoms, the clinician provides brief, personalized
advice, expressing con”dence in the patient’s ability to change and soliciting the patient’s thoughts about the recommended changes.
!e next critical step is to negotiate and
agree on a collaboratively de”ned
behavior change goal and treatment plan, which commonly includes practical
problem solving to
assist the patient in addressing personal change barriers,
building social support, developing a more supportive immediate social and
physical environment, and securing adjunctive behavior change resources and
pharmacologic aids, such as nicotine replacement. Adjunctive resources can
include evidence-based face-to-face, telephone, or mobile phone counseling; targeted or generic self-help materials; and interactive Internet-based tools that are
tailored to a patient’s gender, age, racial/ethnic or cultural group, health status or
condition, stage of change, and other relevant variables. !ese resources can be
used before, during, and after the o$ce visit.
!e “nal step is to
arrange follow-up support and assistance, including referral to more intensive or customized help, or to online tools and supports to help
the patient maintain behavior change maintenance.
!ese new guidelines provided unprecedented scienti”c support for the
USPSTF assertion that “the most e#ective interventions available to clinicians for
reducing the incidence and severity of the leading causes of disease and disability
in the United States are those that address patients’ personal health practices”
(USPSTF, 1996, p. iv).
However, several important limitations and gaps remain. !e greatest limitation is the lack of long-term maintenance after successful behavior change for 12
months or longer. !is is not surprising, given that patients return to the environments that shaped and supported their unhealthy lifestyles and choices. Higher
maintenance rates are achieved in clinic-based programs that o#ered extended
booster or maintenance sessions, providing ongoing social support and behavior change assistance, or in those that helped patients to create an enduring
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166 Part II. Keeping Americans Healthy
“therapeutic microenvironment” to shield them from unhealthy in!uences—for
example, implementing an in-home smoking ban, arranging for the delivery of
recommended diet foods, or arranging ongoing behavior change buddies.
Researchers and policy makers agree that current research and evidence gaps
are the result of too few studies that have developed and tested primary care
interventions for children, adolescents, and underserved populations.
MULTILEVEL MODELS FOR POPULATION-BASED
HEALTH BEHAVIOR CHANGE
“e shift to population-based models of health promotion and disease prevention was prompted by several factors:
■■ “e success of e#ective, brief, and intensive interventions based on social learning
theory, which gave greater prominence to environmental factors in behavior
■■ “e emergence of new stage-based and social marketing models for populationwide
interventions
■■ “e disappointing reach and long-term e#ectiveness of even the most successful
cognitive behavioral treatments
“e lackluster performance of individual treatment approaches was especially
apparent when contrasted with new evidence from public health research showing far-reaching and lasting health e#ects from environmental and policy changes
that eliminated the need for individual decision making. A prime example is the
development of safer roads and more crashworthy automobiles, combined with
shifts in laws and norms regarding seat belt use and drinking and driving, which
collectively produced a dramatic decline in auto-related deaths and injuries.
With the stage well set, the $nal push for a change in approach came in the 1990s
with the development of
social ecological models of health behavior. “ese models
integrate behavioral science with clinical and public health approaches. “ey rede-
$ned what the targets of successful health interventions need to be—not just individuals but also the powerful social contexts in which they live and work. And they
emphasized that a person’s health behavior is a#ected by multiple levels of in!uence:
interpersonal factors (e.g., physiologic factors, knowledge, skill, motivation), social
factors (e.g., social–cultural norms, supports, and networks), organizational and
community factors, broader environmental in!uences, and public policies.
Proponents of the ecological model recommend multilevel strategies that
address all these levels of in!uence (Glickman, Parker, Sim, Del Valle Cook, & Miller,
2012; IOM, 2000, 2013; Koh, 2010). Speci$cally, they propose that educational and
clinical interventions to improve the motivation, skills, and supports for individual
behavior change (e.g., for permanently quitting smoking or risky drinking, or for
adopting and maintaining healthier activity and eating patterns) would be more
successful when policies and in!uences in the wider environment prompt and
reinforce healthy behavior through, for example, clean indoor air laws and access
to safe and attractive places to walk or bike and obtain healthy, a#ordable foods.
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Chapter 7. Health and Behavior 167
A strong, early proponent of the ecological approach to prevention, McKinlay
(1995) proposed a template for more e!ective population health promotion strategies that linked individual-level, clinical health behavior change strategies with
broader, population-level health promotion e!orts, including upstream policy
and environmental interventions. “e model McKinlay proposed (see Table 7.2)
recommended interventions across a broad spectrum of factors, linking
downstream individual clinical approaches with midstream interventions aimed at
health plans, schools, worksites, and communities with
upstream macro-level
public policy and environmental interventions strong enough to subvert or redirect countervailing societal, economic, and industry forces. In essence, McKinlay was one of the $rst to argue that success in achieving lasting populationwide
health behavior change required a “full court press.”
In its landmark review of the past three decades of progress in population
health promotion, the IOM’s (2000) report,
Promoting Health: Intervention
Strategies from Social and Behavioral Research
, recommended individual-level
interventions aimed at those who possess a behavioral risk factor or su!er from
risk-related disease. For these groups, the emphasis is on changing rather than
preventing risky behavior. Population-level interventions that target de$ned populations in order to change and/or prevent behavioral risk factors may involve
TABLE 7.2 THE POPULATION-BASED INTERVENTION MODEL

DOWNSTREAM INTERVENTIONS MIDSTREAM INTERVENTIONS UPSTREAM INTERVENTIONS
Individual-level interventions
aimed at those who possess a
behavioral risk factor or suffer from
risk-related disease; emphasis on
changing rather than preventing
risky behavior
Population-level interventions
that target de!ned populations
in order to change and/or
prevent behavioral risk factors;
may involve mediation through
important organizational channels
or natural environments
State and national public policy/
environmental interventions that
aim to strengthen social norms
and supports for healthy behavior
and redirect unhealthy behavior
■■ Group and individual counseling ■■ Worksite and community-based
health promotion/disease
prevention programs
■■ National public education/
media campaigns
■■ Patient health education/cogni
tive behavioral interventions
■■ Health plan–based primary
care screening/intervention
■■ Economic incentives (e.g.,
excise taxes on tobacco
products; reimbursement for
effective primary care, diets,
and extensive counseling)
■■ Self-help programs and tailored
communications
■■ School-based youth prevention
activities
■■ Policies reducing access to
unhealthy products (e.g., pric
ing, access, labeling)
■■ Pharmacologic treatments ■■ Community-based interven
tions focused on de!ned at-risk
populations
■■ Policies reducing the advertis
ing and promotion of unhealthy
products and behavior

Source: From McKinlay, J. B. (1995). !e new public health approach to improving physical activity and autonomy in older populations. In E. Heikkinen, J. Kuusinen, & I. Ruoppila (Eds.), Preparation for aging (pp. 87–102).
New York, NY: Plenum.
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168 Part II. Keeping Americans Healthy
mediation through important organizational
channels or natural environments. State and
national public policy/environmental interventions aim to strengthen social norms and
supports for healthy behavior and redirect
unhealthy behavior.
!e IOM used McKinlay’s broadspectrum, multilevel model for describing
the balance needed between the dominant
clinical and individually oriented approaches to disease prevention on the one
hand and the population-level approaches addressing the generic social and
behavioral factors linked to disease, injury, and disability on the other. Observing
that many forces in the social, cultural, and physical environment often constitute
enormous barriers to health behavior change (IOM, 2000, p. 2), the authors
recommended population-based health promotion e”orts that:
■■ Use multiple approaches (e.g., education, social support, laws, incentives, behavior
change programs) and address multiple levels of in#uence simultaneously (i.e., individuals, families, communities, nations)
■■ Take account of the special needs of target groups (e.g., based on age, gender, race,
ethnicity, and social class)
■■ Apply a long view of health outcomes because changes often take many years to
become established
■■ Involve a variety of sectors in society that have not traditionally been associated with
health promotion e”orts, including law, business, education, social services, and the
media
Examples From Tobacco Control
!e last three decades of progress in national tobacco control, hailed by some as
one of the greatest public health successes of the second half of the 20th century,
is the example most often used to illustrate the power and promise of ecological
approaches for health intervention.
Although major disparities in tobacco use and its addiction remain, regressive
tobacco tax and price increases have proved especially e”ective in certain highrisk and underserved populations—including adolescents, pregnant women, and
low-income smokers. State telephone quitlines (1-800-QUIT-NOW) o”ering
cost-free counseling and medication have greatly expanded the reach of evidencebased individual cessation treatments to traditionally underserved low-income
and minority populations.
Re#ecting the growth in research evaluating the population e”ects of midstream and upstream interventions for tobacco control, the CDC’s Task Force
for Community Preventive Services was launched in 1996 to conduct systematic
reviews of community-based and policy interventions to change health behavior, similar to the reviews conducted by the USPSTF of downstream clinical
It is unreasonable to expect
that people will change their
behavior easily when so many
forces in the social, cultural, and
physical environment conspire
against such change (Institute of
Medicine, 2000).
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Chapter 7. Health and Behavior 169
preventive interventions. Based on its review of evidence for 14 di!erent tobacco
control interventions, the CDC makes these recommendations:
■■ Smoking bans and restrictions to reduce exposure to environmental tobacco smoke
■■ Tax and price increases and mass media campaigns to reduce the number of youth
who start smoking and to promote cessation
■■ Telephone quitline and mobile phone-based support, as well as a number of health
care system interventions, also to increase cessation
Similar ecological models have been described and proposed for each of the
other major behavioral risk factors discussed in this chapter—risky drinking,
physical inactivity, dietary behavior change, and obesity. “ese are summarized
on the CDC’s Community Preventive Services Task Force Community Guide
website (CDC, 2013b) and in the Task Force’s 2013
!ird Annual Report to
Congress
(CDC, 2013), presenting more than 200 evidence-based recommendations for promoting better health among community members.
Examples From Childhood Obesity Prevention
A great sense of urgency surrounds the need to identify evidence-based “fullcourt press” strategies that can halt the nation’s current obesity epidemic,
especially among children (Glickman et al., 2012; Kumanyika, Parker, & Sim,
2010; White House Task Force on Childhood Obesity, 2010). “e dramatic rise
in the prevalence of overweight and obesity among youth and adults over the
past several decades is primarily due to environmental and economic changes
a!ecting behavior on both sides of the
energy balance equation; that is, the
amount of energy (calories) used versus the amount consumed.
“e cumulative e!ects of technology—such as automobile-dependent transportation and more sedentary jobs—along with changes in lifestyles in typical
suburban environments, which limit the places to which adults and children can
walk, have reduced the amount of physical activity in everyday life.
At the same time, increased access to low-cost, sugar-laden, and high-fat foods
and beverages; increased exposure to marketing for these unhealthy products;
larger portion sizes; increased restaurant use; an exodus of grocery stores and
other sources of fresh fruits and vegetables from cities to suburbs; and the rising
cost of fresh produce relative to soda and snack foods have all played a critical role
in promoting excessive caloric intake, especially for low-income and racial/ethnic
minority populations facing inequalities in access to healthy a!ordable foods. Pervasive racial/ethnic disparities in access to safe places to walk, bike, and play have
sparked numerous studies documenting socioeconomic di!erences in access to
community sports areas, parks, swimming pools, beaches, and bike paths.
Continued progress is being made to understand the environmental and policy factors that a!ect physical activity and identify promising multilevel, broadspectrum interventions to address the nation’s obesity epidemic. “e CDC’s
Community Preventive Services Task Force reviewed research on interventions
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170 Part II. Keeping Americans Healthy
and found evidence for recommendations spanning the full McKinlay model.
!ese include the following:
■■ Downstream health behavior change programs that increase social supports for physical activity and exercise (e.g., health care provider reminder systems plus provider
education)
■■ Midstream requirements for school physical education classes that increase the time
students spend in moderate or vigorous physical activity and “point of decision”
prompts on elevators and escalators that encourage people to use nearby stairs
■■ Upstream e”orts to create, or increase, access to safe, attractive, and convenient places
for physical activity, along with informational outreach to change knowledge and attitudes about the bene#ts of and opportunities for physical activity
Additionally, the IOM used a systems approach to analyze hundreds of strategies for obesity prevention and prioritize the most promising recommendations
(Glickman et al., 2012). Together, these guidelines have provided a strong, sciencebased blueprint for multisector e”orts by professionals in public health, urban
planning, transportation, parks and recreation, architecture, landscape design,
public safety, and the mass media to close the gaps between recommended and
actual physical activity levels for U.S. children and adults.
Some upstream e”orts come in the form of federal payments that can help
communities create or improve access to healthy options. !e Patient Protection
and A”ordable Care Act (ACA), passed in 2010, provided states and communities with a new stream of funds to promote healthy living by creating and improving multiple factors—such as housing, education, child care, and food outlets—in
ways that address health disparities, improve access to behavioral health services,
and reduce and control behavioral risk factors.
Other federal and state health-related policy changes have been in$uential in
reducing childhood obesity, particularly among children from low-income families who participate in the Special Supplemental Nutrition Program for Women,
Infants, and Children (better known as WIC). A 2008 overhaul of the WIC food
package changed the mix of foods covered by the program, making more fruits
and vegetables, skim and low-fat milk, and whole grain breads and cereals available to participants. Grocery stores and schools serving WIC children changed
their inventories to meet the new standards, which bene#ted not only WIC families but also entire communities. In 2013, evidence pointed to declining obesity
rates among children from low-income communities in 18 states and one U.S.
territory (CDC, 2013c).
Among U.S. cities, Philadelphia set itself apart by reporting a signi#cant
decrease in obesity between 2006 and 2010, particularly among school children in
grades K through 12 and adolescents of color. !ese decreases emerged after the
city instituted a decade-long, multipronged e”ort to combat obesity and in$uence
health behavior. Over those 10 years, Philadelphia implemented the following:
■■ Nutrition education to public school students whose families are eligible for the federal Supplemental Nutrition Assistance Program
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Chapter 7. Health and Behavior 171
■■ Financial incentives to attract grocers to open stores in underserved areas
■■ A school districtwide wellness policy
■■ Improved nutritional o!erings in schools, which included the removal of deep-fried
foods, sodas, and sugar-sweetened beverages
■■ Improved in-store food marketing practices in local grocery and locally owned corner
stores
■■ Required calorie postings at chain restaurants
With respect to high-risk populations and environments, systematic surveillance can increasingly monitor the prevalence of behavioral risk factors and
related health-promoting programs, resources, and policies. Such surveillance
systems, which already exist for tobacco control and are rapidly developing for
physical activity, establish a national baseline that makes it possible to assess
the e!ects of speci”c interventions and to evaluate important local, state, and
national intervention e!orts (Sallis et al., 2011). Although some events and political changes may create opportunities for rapid change, as did the Tobacco Master
Settlement Agreement, a long-term view is essential. Most successful health promotion and social change e!orts have required decades of hard work.
As we learned from the success of tobacco control, highly credible scienti”c
evidence can persuade policy makers and withstand the attacks of those whose
interests are threatened. Collaboration among public health researchers, advocates, communicators, strategists, and health care providers is needed to ensure
that high-quality evidence reaches policy decision makers at the right times.
#e di$culty of implementing e!ective broad-spectrum approaches should
not be underestimated. Powerful political opponents bene”t from the sale, promotion, and marketing of unhealthy products. Other barriers include industry
lobbying, chronically limited public support for healthy public policies, and inadequate funding for and enforcement of e!ective policies and programs. Creating
a favorable political climate requires advocacy in order to instigate broad public
pressure and support for change, clear and well-communicated evidence of public demand and support for change, and evidence of the bene”cial health and
economic e!ects of proposed programs and policies.
CHANGING PROVIDER BEHAVIOR: CLOSING THE GAP BETWEEN
BEST PRACTICE AND USUAL CARE
One of the most basic measures of national health care quality is the extent to
which patients receive recommended, evidence-based care. Evidence-based
guidelines exist for prevention-oriented primary care interventions related to
behavioral risks, and putting these guidelines into practice has become an important objective for national health care
quality improvement e!orts.
#e IOM’s (2001) transformative report,
Crossing the Quality Chasm, set
forth a bold national agenda for improving health care quality across the full
spectrum of care, from prevention to acute and chronic illness and palliative care,
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172 Part II. Keeping Americans Healthy
including health behavior change. A follow-up IOM report (Adams & Corrigan,
2003) selected health behavior change interventions for tobacco and obesity as
two of the top 20 priorities for national action.
!ese reports and the reviews and recommendations issued over the past decade
by the USPSTF and CDC’s Community Preventive Services Task Force have had a
signi”cant in#uence on the prevention and public health provisions of the ACA,
enacted in 2010. !ey helped researchers, health professionals, and policy makers
understand the need for a multisystemic approach to obesity prevention—one
that involved a range of recommendations
to build sustainably healthy communities
that o$er opportunities for everyone to
make healthy, productive choices. !is
strategy was outlined in the IOM’s 2012
report,
Accelerating Progress in Obesity
Prevention: Solving the Weight of the Nation
(Glickman et al., 2012), which emphasized
the need for targeted health interventions
to reduce the inequitable distribution of
health promotion and health care resources
and risk factors that contribute to health
disparities among members of low-income,
low-resource communities.
Despite strong evidence for behavioral
prevention in primary care, signi”cant gaps persist between recommended and
actual care. One of the landmark studies of the quality of outpatient health care
found that U.S. adults, on average, receive about
half the services recommended
for people with their speci”c health problems and even less—only 18%—of
the recommended lifestyle screening and counseling services (McGlynn et al.,
2003). It is safe to say that most patients who could bene”t from health behavior change counseling—particularly those from lower-income and economically
disadvantaged racial/ethnic populations, communities, and neighborhoods—are
not receiving it. In most studies, patients receive only the “rst two of the 5 A’s—
assessment and advice.
■■ Tobacco use: According to national data in 2010, 68% and 19% of visits to o%ce-based
ambulatory care settings involved tobacco use screening and tobacco cessation counseling, respectively (DHHS, 2011). !ese percentages, though higher than those in the
baseline year of 2007, are below the
Healthy People 2020 target.
■■ Alcohol use: A 2005 study found that less than one-third of individuals who saw a
general medical provider were screened for alcohol or drug use (D’Amico, Paddock,
Burnam, & Kung, 2005). !e probability of problem drinkers in the study’s sample
being screened for alcohol use was less than 50%.
■■ Physical inactivity and unhealthy diet: National surveys indicate that in 2010,
9% of physician visits by children and adults included counseling about exercise
(DHHS, 2011). Among patients diagnosed with diabetes, cardiovascular disease, or
The Institute of Medicine’s
2012 Report,
Accelerating
Progress in Obesity Prevention
,
presents an ambitious vision of
“a society of healthy children,
healthy families, and healthy
communities in which all people
realize their full potential” made
possible through “large-scale
transformative changes focused
on multi-level environmental and
policy changes” (p. 19).
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Chapter 7. Health and Behavior 173
hyperlipidemia, the percentage of their physician visits that included counseling or
education related to exercise was 12%. Survey data also found that in 2010, 14% of
physician visits by children and adults included counseling about nutrition or diet.
!is percentage increases to 19% for patients diagnosed with diabetes, cardiovascular
disease, or hyperlipidemia.
■■ Obesity: In 2008, just under half of primary care physicians regularly assessed BMI
for their child, adolescent, and adult patients (DHHS, 2011). Similarly, multiple
surveys of family practitioners (Sesselberg, Klein, O’Connor, & Johnson, 2010) and
pediatricians (Klein et al., 2010) found that only about half of these primary care
providers (45% and 52%, respectively) routinely assess BMI in children over age 2.
Among adult patients diagnosed with obesity, the percentage of physician visits that
include counseling or education regarding weight reduction, physical activity, or
nutrition was 28% (DHHS, 2011).
Systematic evidence reviews beginning in the 1990s have found that most educational approaches, including traditional continuing medical education (CME),
had limited e”ect. More interactive and skills-based educational e”orts that used
principles of adult learning and social-learning theory (including modeling by
respected peer “opinion leaders”) were somewhat more e”ective. Multicomponent interventions that addressed the multiple intrapersonal and environmental
barriers to provider adherence, especially system barriers, were most e”ective.
!e limited success of “if you tell them, they will change” provider education
strategies drew critical attention to the many system-level barriers to adherence
to evidence-based guidelines and recommendations, including the pressure of
time (in the face of more urgent medical issues), inadequate o#ce supports, a
lack of provider and patient resources, and missing $nancial incentives.
Follow-up studies con$rmed that clinician training was most e”ective when
combined with e”orts to create o#ce supports to prompt, facilitate, and reward
the delivery of preventive interventions, especially behavioral counseling, and
that the most successful interventions were not one-size-$ts-all, but tailored to
the unique circumstances present in any particular o#ce practice.
Multilevel Models for Improving Delivery of Effective Health
Behavior Change Interventions
Collectively, these $ndings led to a shift in understanding what the targets of
interventions to change
provider health care practices needed to be. Crabtree and
colleagues (1998) introduced a
practice ecology model, emphasizing the need to
address not just the behavior of individual providers, but also the powerful e”ects
of the health care systems and environments in which providers practice.
!ey and other proponents of a broader view of health care improvement
emphasized the need for broad-spectrum strategies addressing multiple levels of in%uence: downstream intrapersonal/individual provider-level factors;
midstream interpersonal/practice team, o#ce microsystems and health plan
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174 Part II. Keeping Americans Healthy
in!uences; and upstream macro-level health care systems and policies (Goodwin
et al., 2001; see Figure 7.1).
Responding to the same evidence, the IOM’s (2001)
Crossing the Quality
Chasm
report recommended a fundamental reengineering of the nation’s health
care system—moving from a system designed primarily to support and pay for
the delivery of reactive acute and remedial illness care to one that would support
and pay for the proactive, preventive, and behavioral care needed to prevent and
manage chronic disease.
It has been said that “an ounce of prevention takes a ton of o”ce system
change.” Until recently, we lacked a coherent model for what this “ton of change”
involved. Filling this void, Wagner, Austin, and Von Kor# (1996) reviewed the
research on e#ective chronic illness care and prevention and devised a model for
the multiple interlocking systems supports required for e#ective planned, proactive chronic illness care—the
chronic care model.
$is model applies equally to the
prevention and to the treatment of chronic
disease, both of which require helping patients to change the behavioral risk factors
that cause or complicate their illnesses. $e chronic care model helped to pave the
way for the concept of the “medical home” as a means for reorganizing primary care
practices to improve health outcomes and reduce health care costs and disparities.
$e six key elements of the chronic care model can be implemented at the level
of the o”ce practice or larger health care delivery system. Each element includes
interventions that are planned rather than reactive, are patient-centered and
informed by individually relevant patient data, are proactive, involve scheduled
UPSTREAM MIDSTREAM DOWNSTREAM
FIGURE 7.1 COMPREHENSIVE APPROACH TO CHANGING PROVIDER PRACTICE
CQI, continuous quality improvement; CME, continuing medical education; NCQA/HEDIS, National
Committee for Quality Assurance/Healthcare E!ectiveness Data and Information Set.
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Chapter 7. Health and Behavior 175
outreach and follow-up, and are population-based—that is, focused on an entire
panel of patients with a speci!c behavioral risk factor, disease, or condition and
not just on individuals who seek care. Both prevention and treatment of chronic
conditions require regular (nonsymptom-driven) screening and counseling for
health behavior change, involve ongoing planned care with proactive follow-up,
depend on active patient involvement in decision making and adherence, and
require links to supportive community resources and services.
As an example, the chronic care model proved a helpful heuristic for describing an organizationwide initiative at Group Health Cooperative of Puget Sound
that integrates screening and treatment for tobacco use with routine primary
care. “is successful plan applied all six model elements as follows:
■■ Health care organization: Health plan leaders made reducing tobacco use their top
prevention priority, provided !nancial and other incentives to providers (including
hiring dedicated clinic counselors), and eliminated patient copayments for counseling.
■■ Clinical information systems were used to create a registry of the tobacco users enrolled
in the health plan, track their use of treatment resources and programs, and generate
proactive telephone quitline calls for patients and feedback reports for providers.
■■ Decision support tools included extensive provider training, ongoing consultation,
automated patient assessment and guideline algorithms, and reminder tools.
■■ Practice redesign and self-management support included self-help materials and a
telephone quitline to deliver counseling and pharmacotherapy without burdening the
provider.
■■ Community resources and policies included referral to community and worksite quitsmoking clinics and related healthy lifestyle change programs and focused on stress
management, exercise, and weight loss, as well as support for worksite smoking cessation. “eir e#orts also involved campaigns and smoking restrictions and expanded
state funding for tobacco prevention and control programs.
“e chronic care model has provided a unifying approach to health care quality improvement that cuts across di#erent types of health behavior and chronic
conditions with the promise of a more e$cient, sustainable, and cost-e#ective
approach to health care quality improvement. “is is especially the case given
the development of several successful continuous quality improvement (CQI)
techniques for putting chronic care model–based system changes into place.
Promising midstream CQI techniques have been used to design and test o$ce
system changes to !nd ways to eliminate barriers and strengthen the supports for
recommended care, often through a series of “rapid cycle” (plan-do-study-act)
improvement e#orts.
Successful preventive CQI interventions have been delivered through learning
collaboratives involving multiple health care teams from di#erent organizations
that meet and work over a 12- to 18-month period with faculty experts in CQI
techniques and in the type of care targeted for improvement (e.g., tobacco dependence, obesity, diabetes management). Individual practice-level, chronic care
model–based improvements involve planning, implementing, evaluating, and
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176 Part II. Keeping Americans Healthy
re!ning changes in individual practices. “ese e#orts have substantially increased
the proportion of patients—including the most disadvantaged patients—who
receive evidence-based preventive care and for whom individual behavior change
plans were developed and implemented.
E#ective individual practice consultation models for CQI with a focus on
multiple risk behavior change were pioneered in the STEP-UP (Study to Enhance
Prevention by Understanding Practice) trial conducted by Goodwin and colleagues (2001). “is randomized, controlled trial tested a brief practice-tailored
approach to improving preventive service delivery, emphasizing improving rates
of health habit counseling and the usage of e#ective community-based programs
and supports for health behavior change.
Intervention practices received a 1-day practice assessment, an initial
practicewide consultation, and several brief follow-up visits to assess and address
practice-speci!c barriers. All interventions were delivered by a specially trained
nurse facilitator who helped practices to identify promising changes and presented
a menu of tools for implementing them (e.g., reminder systems, $ow sheets, patient
education materials, clinical information systems), including a practice improvement manual. “is brief CQI intervention resulted in signi!cant improvements at
6 and 12 months, which were maintained at a 24-month follow-up.
Improvements in behavioral counseling services were especially dramatic. “e
investigators attributed these lasting results to the maintenance of the practice and
system changes that were made—changes that may have been easier to institutionalize because they were tailored to the unique characteristics of each practice.
“e success of the STEP-UP trial and similar chronic care model–based
primary care practice redesign approaches inspired the Robert Wood Johnson
Foundation’s Prescription for Health national program. “is program funded 27
studies in primary care practice–based research networks to discover and test
innovative ways of delivering 5 A’s interventions for two or more health behaviors:
tobacco use, sedentary lifestyle, unhealthy diet, and/or risky drinking.
Projects in round 1 of the program demonstrated that practices could identify at-risk patients and motivate them to make changes. Round 2 projects built
linkages between clinical practices and community resources to reduce provider
burden and help patients sustain behavior changes. Each project required policy
and environmental changes in the practice (e.g., reminder systems, patient registries, performance incentives) to facilitate delivery of evidence-based counseling
and related treatments and to facilitate use of needed follow-up support from
community resources, such as telephone quitlines. Results showed that primary
care providers were able to deliver e#ective health behavior change interventions
when working in supportive health care systems and practices.
In the long run, just as upstream macro-level societal and policy change is
needed to sustain individual behavior change, upstream macro-level health system
and policy change is needed to improve care in o%ce practices and health plans.
Such changes include quality performance measurement and public reporting, “payfor-performance” initiatives that reward providers based on the quality of care they
o#er, and improved information technology to drive and support care improvement.
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Chapter 7. Health and Behavior 177
Some research has found that providers were more likely to o!er health behavior
change counseling when a portion of their
capitation payment depended on their doing
so. Providers in physician organizations
were found to be more likely to o!er proven
health promotion services if their performance measures were publicly reported or
they received public recognition or economic bene”t, and they had greater clinical
information technology capacity (McMenamin et al., 2004).
CONCLUSION
Changing health-related behavior represents a prime target for improving
national health and health care. Never have we known more about the importance
of addressing the lifestyle factors that pose the most serious threats to Americans’
health, produce the greatest demands on our health system, and contribute most
to health care costs. #e growing burden of chronic disease, a national epidemic
of obesity, and escalating health care costs—at a time when health care spending
already is growing faster than the U.S. gross domestic product—makes establishing a stronger preventive orientation in the nation’s health care and public health
systems an urgent priority.
Never have we known as much about how to motivate, support, and assist
individuals to make lasting lifestyle changes or how to support and assist health
care professionals to deliver evidence-based preventive care aimed at behavior change. #e tremendous parallel gains made in what we have learned about
how to achieve e!ective health promotion for individuals and health care quality
improvement for providers have created unprecedented potential.
#e landmark ACA represents one promising strategy that places prevention
at the heart of the e!orts needed to improve the nation’s health and health care.
Its prevention-oriented provisions include (a) full Medicaid and Medicare coverage
for all preventive health services recommended by USPSTF, including those focused
on health behavior change; (b) funding for community-based prevention grants to
implement programs and policy; (c) environmental changes to improve nutrition,
increase physical activity, reduce tobacco use and substance abuse, and reduce health
risk disparities; (d) funding for childhood obesity community demonstration projects;
and (e) the establishment of a National Prevention, Health Promotion, and Public
Health Council to set and track goals and objectives for improving health through
federally supported prevention, health promotion, and public health programs.
#e law also requires funding for the continuation and greater coordination of
the USPSTF and CDC’s Community Preventive Services Task Force. Combined,
these e!orts hold unprecedented potential to capitalize and build on the strong
evidence for health-related behavior change created over the past three decades.
Just as upstream macro-level
societal and policy change is
needed to sustain individual
behavior change, upstream
macro-level health system and
policy change are needed to
support and improve care in
of!ce practices and health plans.
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178 Part II. Keeping Americans Healthy
CASE EXERCISE—COMPREHENSIVE PLAN FOR ADDRESSING
RISK FACTORS
You have just been hired as the director of strategic planning for a health plan that insures
30% of the residents in a metropolitan area of 500,000. Most of those insured by this health
plan are employed by large companies in the metropolitan area, and these companies pay for
their employees’ health insurance. The health plan leaders and the employers both recognize
that their business model depends on their success in addressing behavioral risk factors that
play a critical role in the prevention and management of chronic diseases, the containment of
health care costs, and the enhancement of employee productivity.
In your new role, you are asked to create a comprehensive plan for addressing these
behavioral risk factors—by improving both the clinical care provided and the plan’s
community-based efforts. Speci!cally, you want to develop strategies to reduce the levels of
tobacco use, unhealthy diet, and physical inactivity. In constructing your plan, consider the
following questions:
1. What mix of interventions would you need to consider that might change enrollee behavior, provider behavior, and community policies and environments and maximize the costeffectiveness of this plan?
2. What is the evidence that these interventions would work?
3. What would be the implementation challenges of the plan?
t
DISCUSSION QUESTIONS
1. Brie!y describe the e”ects of personal health behavior (e.g., tobacco use, risky drinking, diet, and physical activity) on individual and population health status and health
care costs in the United States.
2. How have health behavior change programs and interventions evolved over the past
40 years?
3. In order to achieve e”ective behavioral interventions, most physicians use clinical
practice guidelines that are based on the 5A’s model. Brie!y describe this model, using
tobacco cessation counseling as an example.
4. Describe the parallel shifts that have taken place during the past 30 years in understanding what the essential targets must be for successful interventions (a) to increase
patients’ adherence to recommended prevention-oriented health behavior and
(b) to increase providers’ use of recommended clinical preventive behavior change
interventions.
5. With reference to McKinlay’s population-based intervention model, outline possible
coordinated
downstream, midstream, and upstream strategies that can be used to
achieve one of the following: (a) curb binge drinking on a college campus; (b) increase
smoking cessation, especially among pregnant smokers enrolled in a Medicaid managed care plan; or (c) increase physical activity and healthy eating among middle school
students in an urban center. Be sure to mention the di”erent sectors that would need
to be involved (public health, law enforcement, local business, school o#cials, policy
makers, community planning, transportation, health plan leaders/providers, and so on).
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Chapter 7. Health and Behavior 179
REFERENCES
Adams, K., & Corrigan, J. M. (Eds.). (2003). Priority areas for national action: Transforming
health care quality. Quality chasm series
. Washington, DC: National Academies Press.
Adler, N., Bachrach, C., Daley, D., & Frisco, M. (2013).
Building the science for a population
health movement
[Discussion paper]. Washington, DC: Institute of Medicine.
American Cancer Society. (2012). Health risks of smokeless tobacco. Retrieved from http://
www.cancer.org/cancer/cancercauses/tobaccocancer/smokeless-tobacco
Berke, E. M., Tanksi, S. E., Demidenko, E., Alford-Teaster, J., Shi, X., & Sargent, J. D. (2010).
Alcohol retail density and demographic predictors of health disparities: A geographic analysis.
American Journal of Public Health, 100, 1967–1971. doi:10.2105/AJPH.2009.170464
Centers for Disease Control and Prevention. (n.d.). Alcohol-related disease impact (ARDI)
application. Retrieved from https://nccd.cdc.gov/DPH_ARDI/default/default.aspx
Centers for Disease Control and Prevention. (1964). Surgeon General’s Report on Smoking and
Tobacco Use. Retrieved from https://www.cdc.gov/tobacco/data_statistics/sgr/index.htm
Centers for Disease Control and Prevention. (2013). Community Preventive Services Task
Force: Annual Report to Congress, 2013. Retrieved from https://www.thecommunityguide.
org/sites/default/!les/assets/2013-congress-report-full_0.pdf
Centers for Disease Control and Prevention. (2013b). Tobacco: Guide to community preventive services. Reducing tobacco use and secondhand smoke exposure. Retrieved
from https://www.thecommunityguide.org/topic/tobacco
Centers for Disease Control and Prevention. (2013c). Vital signs: Obesity among lowincome, preschool-aged children—United States, 2008–2011.
Morbidity and Mortality
Weekly Report
, 62(31), 629–634. Retrieved from https://www.cdc.gov/mmwr/preview/
mmwrhtml/mm6231a4.htm
Centers for Disease Control and Prevention. (2013d). Youth and tobacco use fact sheet.
Retrieved from http://www.cdc.gov/tobacco/data_statistics/fact_sheets/youth_data/
tobacco_use/#estimates
Centers for Disease Control and Prevention. (2016). “e cost of excessive alcohol use.
Retrieved from https://www.cdc.gov/alcohol/onlinemedia/infographics/cost-excessive
-alcohol-use.html
Centers for Disease Control and Prevention. (2017). CDC social media tools, guidelines, and best
practices. Retrieved from https://www.cdc.gov/socialmedia/tools/guidelines/index.html
Centers for Disease Control and Prevention. (2017). Tobacco use and pregnancy. Retrieved from
https://www.cdc.gov/reproductivehealth/maternalinfanthealth/tobaccousepregnancy/
index.htm
Centers for Disease Control and Prevention. (2018). Smoking is down, but almost 38 million American adults still smoke [Press release]. Retrieved from https://www.cdc.gov/
media/releases/2018/p0118-smoking-rates-declining.html
Coups, E. J., Gaba, A., & Orleans, C. T. (2004). Physician screening for multiple behavioral health risk factors.
American Journal of Preventive Medicine, 27(2 Suppl.), 34–41.
doi:10.1016/j.amepre.2004.04.021
Crabtree, B. F., Miller, W. L., Aita, V. A., Flocke, S. A., & Stange, K. C. (1998). Primary care
practice organization and preventive services delivery: A qualitative analysis.
Journal of
Family Practice
, 46, 403–409.
D’Amico, E. J., Paddock, S. M., Burnam, A., & Kung, F. Y. (2005). Identi!cation of and guidance for problem drinking by general medical providers: Results from a national survey.
Medical Care, 43(3), 229–236. Retrieved from https://www.jstor.org/stable/3768221
Emmons, K. M., & Rollnick, S. (2001). Motivational interviewing in health care settings:
Opportunities and limitations.
American Journal of Preventive Medicine, 20, 68–74.
doi:10.1016/S0749-3797(00)00254-3
EBSCOhost – printed on 3/9/2021 10:14 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
180 Part II. Keeping Americans Healthy
Giovino, G. A., Chaloupka, F. J., Hartman, A. M., Joyce, K. G., Chriqui, J., Orleans, C. T., …
Larkin, M. (2009).
Cigarette smoking prevalence and policies in the 50 states: An era of
change—!e Robert Wood Johnson Foundation impact teen tobacco chart book
. Bu!alo:
State University of New York at Bu!alo.
Goodwin, M. A., Zyzanski, S. J., Zronek, S., Ruhe, M., Weyer, S. M., Konrad, N., & Stange, K. C.
(2001). A clinical trial of tailored o”ce systems for preventive service delivery: #e
Study to Enhance Prevention by Understanding Practice (STEP-UP).
American Journal
of Preventive Medicine
, 21, 20–28. doi:10.1016/S0749-3797(01)00310-5
Glickman, D., Parker, L., Sim, L., Del Valle Cook, H., & Miller, E. A. (Eds.). (2012).
Accelerating progress in obesity prevention: Solving the weight of the nation. Washington, DC:
National Academies Press.
Glickman, D., Parker, L., Sim, L., Del Valle Cook, H., & Miller, E. A. (Eds.). (2013).
Creating equal opportunities for a healthy weight: Workshop summary. Washington, DC:
National Academies Press.
Hamilton, M. T., Hamilton, D. G., & Zedric, T. W. (2007). Role of low energy expenditure
and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease.
Diabetes, 56, 2655–2667. doi:10.2337/db07-0882
Institute of Medicine. (1982).
Health and behavior. Washington, DC: National Academies Press.
Institute of Medicine. (2001).
Crossing the quality chasm: A new health system for the 21st
century
. Washington, DC: National Academies Press.
Institute of Medicine. (2013).
Creating equal opportunities for a healthy weight: Workshop
summary
. Washington, DC: National Academies Press.
Jamal, A., Phillips E., Gentzke A. S., Homa, D. M., Babb, S. D., King, B. A., Ne!, L. J.
(2018). Current cigarette smoking among adults—United States, 2016.
Morbidity
and Mortality Weekly Report, 67
, 53–59. doi:10.15585/mmwr.mm6702a1
Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2013a).
Monitoring the
future: National results on drug use, 1975–2012
(Vol. 2, College students and adults ages
19–50). Ann Arbor: University of Michigan, Institute for Social Research.
Klein, J. D., Sesselberg, T. S., Johnson, M. S., O’Connor, K. G., Cook, S., Coon, M., … Washington, R. (2010). Adoption of body mass index guidelines for screening and counseling
in pediatric practice.
Pediatrics, 25, 265–272. doi:10.1542/peds.2008-2985
Koh, H. K. (2010). A 2020 vision for healthy people.
New England Journal of Medicine, 362,
1653–1656. doi: 10.1056/NEJMp1001601
Kumanyika, S. K., Parker, L., & Sim, L. J. (Eds.). (2010).
Bridging the evidence gap in obesity prevention: A framework to inform decision making. Washington, DC: National Academies Press.
Maciosek, M. V., Edwards, N. M., Co”eld, A. B., Flottemesch, T. J., Nelson, W. W.,
Goodman, M. J., & Solberg, L. I. (2006). Priorities among e!ective clinical preventive
services: Methods.
American Journal of Preventive Medicine, 31, 90–96. doi:10.1016/j.
amepre.2006.03.011
McGinnis, J. M., & Foege, W. H. (1993). Actual causes of death in the United States.
Journal of the American Medical Association, 270, 2207–2212. doi:10.1001/
jama.1993.03510180077038
McGlynn, E. A., Asch, S. M., Adams, J., Keesey, J., Hicks, J., DeCristofaro, A., & Kerr, E. A.
(2003). #e quality of health care delivered to adults in the United States.
New England
Journal of Medicine
, 348, 2635–2645. doi:10.1056/NEJMsa022615
McKinlay, J. B. (1995). #e new public health approach to improving physical activity and
autonomy in older populations. In E. Heikkinen, J. Kuusinen, & I. Ruoppila (Eds.),
Preparation for aging (pp. 87–102). New York, NY: Plenum.
McMenamin, S. B., Schmittdiel, J., Halpin, H., Gillies, R., Rundall, T. G., & Shortell, S. M.
(2004). Health promotion in physician organizations: Results from a national study.
American Journal of Preventive Medicine, 26, 259–264. doi:10.1016/j.amepre.2003.12.012
EBSCOhost – printed on 3/9/2021 10:14 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 7. Health and Behavior 181
Micha, R., Penalvo, J. L., Cudhea, F., Imamura, F., Rehm, C. D., Moza!arian, D. (2017).
Association between dietary factors and mortality from heart disease, stroke, and type
2 diabetes in the United States.
Journal of the American Medical Association, 317(9),
912–924. doi:10.1001/jama.2017.0947
Miech, R. A., Johnston, L. D., O’Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Patrick, M. E.
(2018).
Monitoring the future: National survey results on drug use, 1975–2017: Volume
I, Secondary school students
. Ann Arbor: Institute for Social Research, “e University of Michigan. Retrieved from http://monitoringthefuture.org/pubs/monographs/
mtf-vol1_2017.pdf
Mokdad, A. H., Ballestros, K., Echko, M., Glenn, S. Olsen, H. E., Mullany, E., . . . Murray, C. J. L.
(2018). “e state of U.S. health, 1990–2016: Burden of diseases, injuries, and risk factors among U.S. states.
Journal of the American Medical Association, 319(14), 1444–1472.
https://jamanetwork.com/journals/jama/fullarticle/2678018
Orleans, C. T., Ulmer, C. C., & Gruman, J. C. (2004). “e role of behavioral factors in achieving national health outcomes. In T. J. Boll, R. G. Frank, & A. Baum (Eds.),
Handbook
of clinical health psychology: Models and perspectives in health psychology
(Vol. 3, pp.
465–499). Washington, DC: American Psychological Association.
Powell, L. M., Han, E., & Chaloupka, F. J. (2010). Economic contextual factors, food consumption, and obesity among U.S. adolescents.
Journal of Nutrition, 140, 1175–1180.
doi:10.3945/jn.109.111526
Prochaska, J. O., & DiClemente, C. C. (1983). Stages and processes of self-change of smoking: Toward an integrative model of change.
Journal of Consulting and Clinical Psychology, 51, 390–395. doi:10.1037/0022-006X.51.3.390
Richtel, M. (2013, October 26). “e e-cigarette industry, waiting to exhale.
!e New York
Times
. Retrieved from http://www.nytimes.com/2013/10/27/business/the-e-cigarette
-industry-waiting-to-exhale.html?adxnnl = 1&adxnnlx = 1388415666-ONxkwS17kyrjn
WucGjHSGg
Rideout, V. J., Foehr, U. G., & Roberts, D. F. (2010).
Generation M2: Media in the lives of 8- to
18-year-olds
. Menlo Park, CA: Kaiser Family Foundation.
Robert Wood Johnson Foundation’s Commission to Build a Healthier America. (2013).
Overcoming obstacles to health in 2013 and beyond. Princeton, NJ: Robert Wood
Johnson Foundation. Retrieved from http://www.rwjf.org/content/dam/farm/reports/
reports/2013/rwjf406474
Sacks, J. J., Gonzales, K. R., Bouchery, E. E., Tomedi, L. E., & Brewer, R. D. (2015). 2010
National and state costs of excessive alcohol consumption.
American Journal of Preventive Medicine, 49(5), e73–e79. doi:10.1016/j.amepre.2015.05.031
Sallis, J. F., Slymen, D. J., Conway, T. L., Frank, L. D., Saelens, B. E., Cain, K., & Chapman, J. E.
(2011). Income disparities in perceived neighborhood built and social environment
attributes.
Health & Place, 17, 1274–1283. doi:10.1016/j.healthplace.2011.02.006
Saloner, B., & Lê Cook, B. (2013). Blacks and Hispanics are less likely than Whites to complete addiction treatment, largely due to socioeconomic factors.
Health A”airs, 32,
135–145. doi:10.1377/hltha!.2011.0983
Schlam, T. R., & Baker, T. B. (2013). Interventions for tobacco smoking.
Annual Review of
Clinical Psychology
, 9, 675–702. doi:10.1146/annurev-clinpsy-050212-185602
Sesselberg, T. S., Klein, J. D., O’Connor, K. G., & Johnson, M. S. (2010). Screening and counseling for childhood obesity: Results from a national survey.
American Board of Family
Medicine
, 23, 334–342. doi:10.3122/jabfm.2010.03.090070
Smedley, B. D., & Syme, S. L. (Eds.). (2000).
Promoting health: Intervention strategies from
social and behavioral research
. Washington, DC: National Academies Press.
Smedley, B. D., & Syme, S. L. (Eds.). (2001).
Crossing the quality chasm: A new health system
for the 21st century
. Washington, DC: National Academies Press.
EBSCOhost – printed on 3/9/2021 10:14 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
182 Part II. Keeping Americans Healthy
Taylor, W. C., & Lou, D. (2012). Do all children have places to be active? Disparities in access
to physical activity environments in racial and ethnic minority and lower-income communities. A research synthesis
. Princeton, NJ: Active Living Research.
Treuha!, S., & Karpyn, A. (2010).
!e grocery gap: Who has access to healthy food and why it
matters
. Oakland, CA: PolicyLink.
Troiano, R. P., Berrigan, D., Dodd, K. W., Mâsse, L. C., Tilert, T., & McDowell, M. (2008).
Physical activity in the United States measured by accelerometer.
Medicine & Science in
Sports & Exercise
, 40, 181–188. doi:10.1249/mss.0b013e31815a51b3
U.S. Department of Health and Human Services. (2000).
Healthy people 2010. Washington,
DC: Author.
U.S. Department of Health and Human Services. (2011).
Healthy people 2020. Washington,
DC: Author.
U.S. Department of Health and Human Services. (2014).
!e health consequences of smoking—
50 years of progress: A report of the Surgeon General
. Atlanta, GA: U.S. Department of
Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, O”ce on Smoking and Health.
U.S. Preventive Services Task Force. (1996).
Guide to clinical preventive services (2nd ed.).
Baltimore, MD: Williams & Wilkins.
Volpp, K. G., & Mohta, N. S. (2017). Patient engagement survey: Social networks to improve
patient health.
NEJM Catalyst: Insights Report. Retrieved from https://catalyst.nejm
.org/survey-social-networks-patient-health
Wagner, E. H., Austin, B. T., & Von Kor#, M. (1996). Organizing care for patients with
chronic illness.
Milbank Quarterly, 74, 511–544. doi:10.2307/3350391
Ward, B. W., Barnes, P. M., Freeman, G., & Schiller, J. S. (2012, March 21).
Early release
of selected estimates based on data from the January–September 2011 National Health
Interview Survey
[Online]. Retrieved from http://www.cdc.gov/nchs/data/nhis/early
release/earlyrelease201203.pdf
White House Task Force on Childhood Obesity. (2010).
Report to the President: Solving the
problem of childhood obesity within a generation
. Retrieved from https://letsmove.obama
whitehouse.archives.gov/sites/letsmove.gov/files/TaskForce_on_Childhood_Obesity_
May2010_FullReport.pdf
Xu, X., Bishop, E. E., Kennedy, S. M., Simpson, S. A., Pechacek, T. F. (2014). Annual healthcare spending attributable to cigarette smoking.
American Journal of Preventive Medicine, 48(3), 326–333. doi:10.1016/j.amepre.2014.10.012
Yu, E., Rimm, E., Qi, L., Rexrode, K., Albert, C. M., Sun, Q., … F. B., & Manson, J. E.
(2016). Diet, lifestyle, biomarkers, genetic factors, and rick of cardiovascular disease
in the nurses’ health studies.
American Journal of Public Health, 106(9), 1616–1623.
doi:10.2105/AJPH.2016.303316
EBSCOhost – printed on 3/9/2021 10:14 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
8
Vulnerable Populations:
Meeting the Health Needs
of Populations Facing
Health Inequities
Monique J. Vasquez, Jacqueline Martinez Garcel,
Elizabeth A. Ward, and Lourdes J. Rodríguez
LEARNING OBJECTIVES
Understand the predisposing and enabling factors that increase the vulnerability of people disproportionately affected by health inequities
Identify the growing number of health inequities
Describe how the Great Recession has led to a strained social service sector
Explain how the U.S. health care system provides and pays for services to
vulnerable populations
Discuss social needs of populations affected by health inequities and the
safety net currently provided by the social service sector
Identify challenges and opportunities to reduce health care costs and improve
health outcomes of people disproportionately affected by health inequities
KEY TERMS
behavioral health services
cash assistance programs
chronic illnesses
Disproportionate Share Hospitals (DSH) program
dual eligibles
enabling factor
© Springer Publishing Company DOI: 10.1891/9780826172730.0008
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

184 Part II. Keeping Americans Healthy
fragmentation
health need factor
Medicaid
Medicare
patient engagement
predisposing factor
safety-net providers
TOPICAL OUTLINE
Understanding factors and systems that affect people disproportionately
affected by health inequities
The growing number of health inequities
Uneven footing after the Great Recession and a strained social service sector
Organization and financing of health care, population/public health/
prevention, and other services for populations experiencing health inequities
Social service needs
Federal and state financing of care for vulnerable populations
Challenges for service delivery and payment
Emerging and tested ideas for better health delivery
Opportunities in the ACA to meet health care needs of vulnerable populations
Challenges of health care reform and threats to the ACA
INTRODUCTION
In order to better understand health, we must understand the way in which life
experiences a!ect the health and well-being of di!erent groups. When power and
oppression result in groups being treated di!erently because of race, ethnicity, income, gender,
sexual orientation, immigration status, ability
level, or other factors, people in groups that
have less power or social status are more vulnerable to health inequities. “is vulnerability makes it harder for people to be healthy,
to stay healthy, to prevent illness, and to
have better outcomes when they become sick
or ill. “roughout the 20th century, the United
States—one of the wealthiest nations in the
world—has made strides toward increasing access to health care for vulnerable
populations. “e advent of employer-based health insurance, passage of
Medicare
With the nation’s population
growing both older and
more diverse in terms of
demographics and income,
policymakers face increasing
challenges in ensuring that
health care is provided to
vulnerable populations, and
at affordable costs.*
*To hear the podcast, go to https://bcove.video/2zGiJte or access the ebook on Springer Publishing ConnectTM.
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Chapter 8. Vulnerable Populations 185
and Medicaid in the 1960s, the establishment of community health centers in the
1970s, and the creation of the Children’s Health Insurance Program in the 1990s
all worked together to connect medically and socioeconomically disadvantaged
populations to the U.S. health care system. !e passage of the landmark Patient
Protection and A”ordable Care Act (ACA) in the 21st century was yet another
major victory in narrowing the gap between those who have access to health care
services and those who have been historically marginalized from them. Progress
thus far, however, has barely scratched the surface of a mounting problem—the
health and well-being of people living in the United States who are disproportionately a”ected by health inequities. !ere remain millions of people living in the
United States who have not bene#ted from these improvements. Moreover, the
solutions developed to address the needs of people disproportionately impacted
by health inequities have been fragmented and categorical. Populations disproportionately a”ected by health inequities are strong. !ey have weathered and
fought against generations of oppression, but our current system provides little
support for the growing number of people disproportionately a”ected by health
inequities. As demographics shift in the United States, the population is becoming older, the number of people of color is increasing, and a growing number of
people are living with chronic disease(s). Income gaps have been increasing since
the 1970s, and wealth gaps have increased dramatically, with the top 1% owning
almost half (49%) of the wealth in 2016 (Stone, Trisi, Sherman, & Debot, 2015). At
the same time, there is a strained social sector that provides support for vulnerable
populations.
Current solutions come with growing price tags. As a result, they are at heightened risk of funding cuts. !is is the case with the ACA, at threat of being repealed,
undermining access to health care services for those who are already vulnerable to
health inequities. Developing solutions that will contain health care expenditures
and meet the health needs of vulnerable populations is one of the leading challenges facing policy makers in the United States.
In order to meet these shifting needs and
address health inequities, our health care
system must utilize innovative approaches
to increase access to care and rethink the
ways in which health care is delivered.
!is chapter examines the factors
a”ecting populations disproportionately
impacted by health inequities. !e #rst section provides an overview of the segments
of the population that fall under this category as well as a framework for understanding enablers of vulnerability. In subsequent sections, we explore the organization
and #nancing of health care for vulnerable populations, examine limitations, and
explore the importance of social services to achieve and maintain health. Finally,
we discuss the role of the ACA in addressing the health needs of people experiencing disproportionate health inequities.
Developing solutions that will
contain health care expenditures
and meet the needs of
populations disproportionately
affected by health inequities is
one of the leading challenges
facing policy makers in the
United States.
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186 Part II. Keeping Americans Healthy
UNDERSTANDING FACTORS AND SYSTEMS THAT IMPACT PEOPLE
DISPROPORTIONATELY AFFECTED BY HEALTH INEQUITIES
Whether we identify as part of this population ourselves or whether they are our
friends, loved ones, or neighbors, the lives of people who are disproportionately
a!ected by health inequities are interwoven into our communities and
neighborhoods. People a!ected by inequities are everywhere, regardless of
whether we live in a thriving metropolis, a gated suburban community, or a
small town in rural America. In order to better understand how groups of
people are impacted by health inequities, we must “rst distinguish between
inequalities and inequities. Figure 8.1 illustrates the di!erence between the
two terms.
#e illustration shows three people confronted with a barrier, the fence, that
prevents them from watching a ball game. #e “rst panel shows what happens
when an intervention seeks to be equal; although each individual has been provided with the same resources, one person is excluded from being able to see
the game, even though they have equal access to the resource (the box). In the
second panel, the same amount of resources (boxes) are distributed, but this time
resources are distributed in an intentional way that takes into account the needs
of each person relative to the barriers (the fence). Rather than seeking equality,
health equity seeks to address the systemic barriers that groups of people face
that result in disproportionate poor health outcomes. It can be tempting to view
the individual on the right from a de”cit lens or simply label them as “in need.”
FIGURE 8.1 EQUALITY VS. EQUITY
EQUALITY EQUITY
Source: Interaction Institute for Social Change. Retrieved from http://interactioninstitute.org
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Chapter 8. Vulnerable Populations 187
It is more useful, however, to recognize that there are a variety of factors that,
when ignored, make it di!cult for individuals and groups to overcome systemic
barriers. “e World Health Organization (WHO) de#nes health inequities as systematic di$erences in health that occur between and within countries and are
avoidable and unfair (Commission on Social Determinants of Health, 2008). In
their 2008 study, the WHO discusses the need to embrace a holistic view toward
the social determinants of health in order to understand how “circumstances
in which people grow, live, work and age, and the systems put in place to deal
with illness” a$ect health inequities (Commission on Social Determinants of
Health, 2008).
“e United States has a long history of oppression, discrimination, social
exclusion, and marginalization of groups that are non-European; that are poor,
or not male; and who, because of these factors, are not part of an advantaged
social or economic group. “is history began with the colonists’ violence,
exploitation, and decimation of Native American peoples and the forced migration and enslavement of people from Africa. Despite improvements, mainly at
the impetus of marginalized peoples pushing for change, many policies, systems, and institutions in the United States continue to oppress people of color;
people who are poor; people living with physical disabilities; people with mental health issues; people practicing nondominant faiths; and people who identify as lesbian, gay, bisexual, transgender, or queer (LGBTQ). Factors such as
poverty, discrimination, unbalanced power dynamics, and lack of equal and fair
access to opportunities further contribute to poor health outcomes (Braveman,
Arkin, Orleans, Proctor, & Plough, 2017). Braveman et al. (2011) discussed that
these health inequities serve to further marginalize oppressed groups, noting
that “Health di$erences adversely a$ecting socially disadvantaged groups are
particularly unacceptable because ill health can be an obstacle to overcoming
social disadvantage.” “e obstacles that people from historically marginalized
populations face make them vulnerable to poor health status, poor health outcomes, and health care access.
Vulnerability can be in&uenced by a variety of factors, including disease
status (such as chronic conditions, mental illness, HIV-positive status), demographics (such as socioeconomic status [SES], educational attainment, housing
situation, racial/ethnic background, immigration or refugee status), age group
(such as children or the elderly), or the ability to access health services (uninsured, those who live in a remote rural area, those who lack a regular source
of care) (Aday, 2001). For instance, children, senior citizens, refugees, immigrants, non-native English speakers, formerly incarcerated individuals, people
who experience homelessness, and many other groups are more vulnerable
to health inequities due to risk of discrimination, oppression, and diminished
agency or power.
Our humanity and the range of life experiences we face put us all at risk of
being vulnerable at di$erent points in our lives. We are all susceptible to a host of
negative or stressful events such as sudden or chronic or acute illness, unemployment, homelessness, or divorce. “ere are, however, individual and community
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188 Part II. Keeping Americans Healthy
factors that mediate this risk. For instance, according to the Conservation of
Resources theory, the e!ect of a stressful life event on a person who lives in a
poor neighborhood with limited access to resources is much more adverse than
that on a person who lives in a wealthy neighborhood with access to a variety of
options to ameliorate the problem (Hobfoll, 2001).
“e Conservation of Resources theory states that people are motivated to
obtain, keep, and protect resources they value, which can range from a house
or vehicle to marriage, employment, self-esteem, credit, knowledge, or money
(Hobfoll, 2012). Resource loss, which can be caused by an adverse event or disaster, has a stronger impact on an individual than if they had gained resources. An
individual will need to invest resources in order to recover or protect against
resource loss, but those who already have limited resources prior to a disaster will
have less capacity to manage stress and leverage resources when resources are
lost (Hobfoll, 2012). As an example, over the last few decades, a series of natural
disasters has caused many Americans to lose their loved ones, their homes, and
their possessions and to be at risk for signi#cant medical and/or mental health
issues. Since 2005, extreme weather conditions caused by hurricanes Katrina,
Rita, Harvey, Irma, and Maria devastated parts of Texas, Louisiana, Florida, and
Puerto Rico. Everyone a!ected by a hurricane will experience resource loss, but
the people with fewer resources—such as people living in poverty, renters, people
with low-quality housing, people with low-levels of social support or social capital, people who have a disability or chronic medical condition, or people who are
elderly—may #nd themselves with increased vulnerability because of their circumstances prior to the disaster. Vulnerability can be two fold as people who are
disproportionately a!ected by inequities are also likely to live in high-risk areas,
including $ood zones and in substandard housing (Cutter & Emrich, 2006).
A Framework for Understanding Vulnerability
Shi and colleagues (2008) introduced a general model of vulnerability, which was
adapted from a model from Andersen and Aday that categorized risks as predisposing,
enabling, and need (Andersen, 1995). “e general model of vulnerability can be
used to understand the convergence of individual, social, community, and accessto-care risks (Shi & Stevens, 2010). In this model, individual risk factors, such as
demographics (age, gender, race/ethnicity, SES), health status, health insurance,
and individual belief systems associated with health behaviors, are studied in light
of the larger context of a person’s life. Environmental (or ecological) risk factors
include the geographical location (rural versus urban), SES of an entire community
(neighborhood income level and unemployment rates), resource inequalities, and
the social capital (or social cohesion) of the neighborhood.
Vulnerability to poor health, as posited by this model, is determined by a
convergence of predisposing, enabling, and need characteristics at the individual
and ecological levels.
For example, a man who has hypertension (
health need factor), is African
American (
predisposing factor), and is uninsured (enabling factor) would be
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Chapter 8. Vulnerable Populations 189
Community
Predisposing
Enabling Enabling
Need Need
Predisposing
Individual
Quality of Care
Risk Factors
Health Outcomes
VULNERABLITY
Access to Care
Individual
Physical,
Mental, and
Social Health
Outcomes
Community
Physical,
Mental, and
Social Health
Outcomes
Source: Shi, L,Stevens, g.d., Faed, P., & Tsai, J. (2008). Rethinking vulnerable population in the United States: an introduction to a general mode of vulnerability. Harvard Health Policy Rev, 9(1), 43–48.
FIGURE 8.2 GENERAL MODEL OF VULNERABILITY
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190 Part II. Keeping Americans Healthy
considered more vulnerable than a man who has hypertension but is not part of
a historically marginalized population.
In this model,
health needs directly imply vulnerability, predisposing factors
indicate the propensity for vulnerability, and enabling factors re!ect the resources
available to overcome the consequences of vulnerability (Shi & Stevens, 2010).
Health Need Factor
In this chapter, we frame health needs using the de”nition of health developed
by the WHO, which de”nes health as a “state of complete
physical, mental, and
social well-being and not merely the absence of disease or in”rmity” (WHO,
1948). #is de”nition may be understood as follows:
■■ Physical health needs are characterized according to the physiological and physical
status of the body. Problems a$ecting physical health include speci”c acute or chronic
diseases (such as HIV/AIDS, diabetes, asthma) or disabilities.
■■ Mental (or psychological) health needs are characterized by emotional and behavioral
health—in essence, by an individual’s state of mind. Problems a$ecting mental health
include speci”c mental illnesses, chronic dependence on drugs or alcohol, or a susceptibility to harm oneself or others.
■■ Social health needs extend beyond the individual and include both the quantity and
quality of social contacts with other people. Individuals who have been marginalized
or ostracized from their communities (such as individuals experiencing homelessness,
immigrants or refugees, the formerly incarcerated, people living in an abusive home)
would be characterized as having unmet social health needs (Aday, 2001).
Poor health along one dimension, as in the previous example’s physical health,
is very likely to converge with poor health along others, such as the individual’s
psychological or social needs. For instance, a person who does not have insurance
would be more susceptible to depression because of the compounding stresses
associated with receiving a diagnosis, managing a chronic health condition, and
confronting the high cost of medical bills.
Predisposing Factor
In the previous example, being African American is listed as a predisposing factor
because African Americans experience a multitude of health inequities, including
higher chronic disease rates, barriers and obstacles to receiving medical care, worse
disease outcomes, and higher mortality and morbidity rates; in addition to systemic
disparities in income, educational outcomes, and access to resources, multiple
studies have linked adverse health outcomes to the cumulative burden of stress and
racial discrimination (Williams, 2012; Williams, Priest, & Anderson, 2016).
In a longitudinal study, 17- to 19-year-old African Americans who reported
high levels of racial discrimination had higher levels of cytokine at age 22 than their
peers (Brody, Yu, Miller, & Chen, 2015). Cyokine are proteins secreted by cells and
found in the blood that serve an important modulating function in the immune
system. Higher levels of cytokine are linked to low-grade in!ammation, which can
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Chapter 8. Vulnerable Populations 191
cause increased risk of chronic disease and problems associated with aging such
as hypertension, obesity, insulin resistance, diabetes risk, and stroke. Researchers
also found that youth who showed positive racial identity did not show the same
association between discrimination and cytokine (Brody et al., 2015). Studies focused
on adults show an association between hypertension risk, control of hypertension
symptoms, and elevated blood pressure with perceived discrimination (Cu!ee,
Hargraves, & Allison, 2012). A survey conducted in 2017 of African Americans,
Asian Americans, Latinos, Native Americans, White Americans, and LGBTQ
adults asked about experiences with discrimination. African Americans reported
experiencing high levels of discrimination when being considered for a promotion or
receiving equal pay at work (57%), during job applications (56%), and being unfairly
stopped or unfairly treated by police due to their race (National Public Radio, 2017).
“e American Psychological Association (APA) found that people who experienced
discrimination reported worse health and higher levels of stress (APA, 2016).
Predisposing factors include not only individual risk but also community
risk. Community risk includes issues that a!ect groups of individuals such as
less access to parks and places to exercise, less access to a!ordable and accessible
healthy foods, and increased stress levels from low-wage jobs (Shi, Stevens, Faed
& Tsai, 2008). Socioeconomic determinants of health are structural determinants
and conditions that in#uence health; they include a variety of factors such as economic stability, neighborhood and physical environment, education, food, community and social context, and certain characteristics of the health care systems
(Heiman & Artiga, 2015). Health experts believe these factors have a much larger
in#uence than health care itself (Heiman & Artiga, 2015), and the WHO places
a high priority on addressing the social determinants of health and training a
workforce that both understands and can raise public awareness about the social
determinants (Commission on Social Determinants of Health, 2008).

Economic
Stability
Neighborhood
and Physical
Environment
Education Food Community
and Social
Context
Health Care
System
Employment
Income
Expenses
Debt
Medical bills
Support
Housing
Transportation
Safety
Parks
Playgrounds
Walkability
Literacy
Language
arly childhood
education
Vocational
training
Higher
education
Hunger
Access to
healthy
options
Social
integration
Support
systems
Community
engagement
Discrimination
Health
coverage
Provider
availability
Provider
linguistic and
cultural
competency
uality of care
E

Health Outcomes
Mortality, Morbility, Life Expectancy, Health Care Expenditures, Health Status, Functional Limitations
FIGURE 8.3 SOCIAL DETERMINANTS OF HEALTH
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192 Part II. Keeping Americans Healthy
Enabling Factors
Previously, we described that enabling factors mediate our access to resources
necessary to overcome the consequences of vulnerability. One example is social
capital. Social capital is measured by the quantity and quality of interpersonal ties
among people and groups sharing a community, which can be de!ned geographically or by a common characteristic. It is critical for mitigating or minimizing the
e”ect of negative life events on health. Family structure, friendship ties, religious
organizations, and neighborhood connections provide social capital to members
in the form of social support and associated feelings of belonging, psychological
well-being, and self-esteem (Aday, 2001).
Building on the example of an uninsured
African American man who has hypertension and symptoms of depression: If, in addition, he is also socially isolated, with little
or no social network in his community, it is
unlikely that he will succeed in long-term
e”orts to improve his health, such as establishing healthier eating habits or adhering to a
strict medication regimen. A strong social support system is key to making a signi!-
cant di”erence in the likelihood of starting—and sticking with—lifestyle changes.
#e general model of vulnerability is used throughout this chapter to illustrate
best practices, including an examination of predisposing factors, enabling factors,
and need; later in the chapter are recommendations for programs and policies
that can improve the health outcomes of this population. Before we describe the
network of existing services and programs—and their !nancing mechanisms—
that care for the needs of vulnerable populations, we focus in the next section
on why the number of vulnerable groups is increasing in the United States. #is
increase is one of the critical reasons health care leaders and policy makers must
!nd more e”ective and e$cient ways to address the needs of vulnerable populations than are currently available.
THE GROWING NUMBER OF HEALTH INEQUITIES
#ree leading and concurrent factors have contributed to the growing number
of populations who are currently at risk of disproportionally experiencing health
inequities:
■■ #e di”erential rise in prevalence of chronic conditions such as diabetes, cancer, and
cardiovascular disease
■■ Shifting demographics of the overall U.S. population, especially the growing income
inequality between rich and poor, the shift to a majority of people of color population,
and the graying of the baby boomer generation
■■ An uneven footing after the Great Recession for already vulnerable communities and
a strained social service sector
A strong social support system
is key to making a signi!cant
difference in the likelihood of
starting—and sticking with—
lifestyle changes.
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Chapter 8. Vulnerable Populations 193
Prevalence of Chronic Conditions
Chronic illnesses, such as heart disease, diabetes, cancer, respiratory diseases,
and arthritis, are ongoing medical conditions that can be treated but not cured.
!ese conditions require constant management, and they signi”cantly alter the
daily life of those who su#er from them. !e 2012 National Health Interview Survey estimated that 49.8% of civilians who are not institutionalized, or 117 million
adults, had at least one chronic physical health condition. In the United States,
the rise in chronic conditions has been unprecedented, and these conditions have
exacted an enormous human and “nancial toll.
While everyone is at risk for developing a chronic illness, vulnerable groups
are more likely to have a chronic illnesses because of disparities in resources and
tools to prevent illness and maintain health and well-being. Lifestyle behaviors
that can often be associated with the socioeconomic determinants of health—
such as tobacco use; lack of regular physical activity; and consumption of diets
rich in saturated fats, sugars, and salt—have greatly contributed to the increase
in chronic conditions in the United States (Bauer, Briss, Goodman, & Bowman,
2014). Studies have shown that people who live in areas of more socioeconomic
disadvantage are more likely to take part in these risky health behaviors (DiezRoux, 2003; Do, 2009; Lang et al., 2009). In order to truly address health inequities, particularly as they pertain to socioeconomic determinants of health, we
must explicitly focus on health equity throughout intervention design and implementation; otherwise, we run the risk of inadvertently increasing disparities in
populations. For instance, public smoking campaigns in the past have been more
e#ective with a$uent educated populations, not because they are the ones who
care more about their health, but because the interventions did not have marginalized populations and lower socioeconomic populations in mind during their
implementation (Braveman et al., 2017).
Although having a chronic physical or mental health condition does not mean
that an individual will not have a good quality of life, for many, one or more of
these conditions can be disabling, thereby reducing the quality of life and leading
to isolation and depression. Vulnerable groups are more likely to feel the impacts
of chronic disease in a di#erent way than populations with more resources or
socieconocomic status. Groups with fewer resources may struggle to “nd and
access care to monitor and treat their condition, to pay for treatment, and to have
adequate social support. Additionally, vulnerable populations may struggle to
change the very lifestyle behaviors that put them at risk for a chronic illness in the
“rst place, because a diagnosis rarely has the ability to alter the socioeconomic
determinants of health. !us, it is di%cult for already vulnerable populations to
seek care and manage their illness. Chronic illness also impacts an individual’s
ability to maintain employment and care for themselves and family members,
which in turn can increase their vulnerability. !e prevalence of
multiple chronic
conditions—comorbidity of any combination of the previously mentioned conditions—makes it even harder to coordinate e#orts and address the problems
at hand. More than 25% of adults had two or three chronic conditions (Ward,
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194 Part II. Keeping Americans Healthy
Schiller, & Goodman, 2014). !ese estimates look worse for speci”c segments
of the population, especially people of color and the poor. If these trends continue unchanged, we can expect the number of adults with at least one chronic
disease to reach more than 171 million by 2030 (Figure 8.4) (Wu & Green, 2000).
Not only is the toll on life high—with 7 out of 10 deaths each year attributed to
chronic conditions—but so is the toll on the health care system because people
with chronic conditions account for more than 80% of hospital admissions (Partnership for Solutions, 2004).
Shifting Demographics in the United States
Growing Income Inequalities
In 2014, the United States marked the 50th anniversary of President Lyndon
B. Johnson’s War on Poverty. As a nation, however, the United States has fallen
short of the commitment made in 1964 that American citizens would have a fair
opportunity to pursue a productive future, earn a decent living wage, and live in
a safe community with access to good schools. In 2016, more than 40.6 million
Americans—approximately 12.5% of the population—were living at or below the
federal poverty threshold ($24,600 for a family of four) (U.S. Census Bureau, 2017).
In 2016, more than one-third of the poor—5.8% of the overall U.S. population—
lived in deep poverty, earning less than $6,000 a year. While poverty rates have
#uctuated with the economy, the number of people in deep poverty has increased
over time from 3.7% of the population in 1975. !e rate of deep poverty increased
FIGURE 8.4 PROJECTION OF GROWTH IN CHRONIC ILLNESS PREVALENCE
118
1995*
125
2000
133
2005
141
2010
149
2015
157
2020
164
2025
171
44.7%
45.4%
46.2%
47.0%
47.7%
48.3%
48.8%
49.2%
2030
Number of People With Chronic Conditions
(millions)
Source: Wu, S.-Y., & Green, A. (2000). Projection of chronic illness prevalence and cost in!ation.
Santa Monica, CA: RAND Corporation. Retrieved from http://www.!ghtchronicdisease.org/ sites/
!ghtchronicdisease.org/!les/docs/GrowingCrisisofChronicDiseaseintheUSfactsheet_81009.pdf
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Chapter 8. Vulnerable Populations 195
in the early 1980s, reaching 5.9% in 1983. It lowered again until 1993 where it
peaked at 6.2% before going back to a range of 4.5% to 5.7%. !e rate of deep
poverty rose to its highest level in 2010 at 6.7% and has remained high since the
recession, with 2016 as the “rst time it has dropped below 6% since that time (U.S.
Census Bureau, 2017).
Poverty has persistently a#ected certain segments of the population more
than others. Children under the age of 18 are more likely to live in poverty. In
2012, nearly 22% of children—one out of every “ve—were living in poverty. Certain racial and ethnic groups are more likely to be poor than others. Poverty rates
for African Americans (27%) and Latinos (25%), as well as their children (38% and
33%, respectively), are signi”cantly higher than for White Americans (10%) and
their children (20%). To put this in perspective, one out of every three African
American children and one out of every four Latino children lives in poverty.
Single-parent families are also more likely to live in poverty. !irty-one percent
of female-headed households, for instance, live in poverty, compared with 6% of
married-couple households. People with disabilities (28%) are more than twice as
likely to live in poverty as their counterparts without a disability (12%).
Although poverty has been concentrated in cities and in rural communities
throughout U.S. history, there has been a steady increase in the number of people living in poverty in suburban neighborhoods. In 2008, the number of suburban poor exceeded the urban poor in central cities by 1.5 million. Although the
rates of poverty continue to be higher in urban areas than in suburbs (18% versus
9.5%), poverty rates are increasing at a faster pace in suburban areas (Allard &
Roth, 2010). !is is an especially troubling trend, since suburban communities
tend to be mostly residential (with little or no access to commercial services), disconnected from public amenities (i.e., mass transit), and lacking in public spaces
for social interaction.
Income—or lack thereof—is one of the key enablers of vulnerability. People
with “nancial resources not only have the ability to obtain access to the highestquality health services, but also have access to other material goods that bene”t
health and greater opportunities to build the social capital that can serve as a buffer for adverse life events. Income also has a more substantive and complex e#ect
on health when it is considered in the context of a neighborhood. Concentrated
wealth has a larger e#ect on the environment (neighborhood) that shapes a person’s position along the socioeconomic gradient, which includes an individual’s
education level and employment opportunities. In the United States, where you
live determines the quality of the education system your children have access to
because the local tax base determines funding for public schools. In communities with concentrated poverty, students have lower average test scores, fewer
quali”ed teachers, fewer interactions with colleges and potential employers,
higher levels of teen pregnancy, and higher high school dropout rates than public
schools in neighborhoods with more resources (Willms, 1999).
!us far, we have explored the e#ect of absolute income and SES status on
health and the role of SES as an enabling factor of vulnerability. However, distribution of income is also an important factor in determining the health of a
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196 Part II. Keeping Americans Healthy
population. Income inequalities are on the
rise in the United States; in fact, in 2012 the
gap between the richest 1% and the remaining 99% was the largest it has been since
the 1920s. According to recent analysis,
the 400 richest people in the United States
have more combined wealth than the bottom 150 million put together. !e relationship between income inequality and health
has broader implications in determining
health outcomes beyond personal income.
Concentrated wealth leads to concentrated poverty, which in turn leads to poor
neighborhoods and communities.
Myriad studies have shown the correlation between disadvantaged communities and poor health outcomes (Diez-Roux, 2003; Do, 2009; Lang et al., 2009).
!e widening gap between rich and poor leads to a greater separation between
the institutions, organizations, and services that promote and protect health.
People living in neighborhoods with many resources are more likely to engage
in healthy behaviors, whether these behaviors are due to the wider availability
of primary care services, stores o”ering healthy food, or environments for safe
physical activities. An entire population is at greater risk of poor health outcomes
when they are persistently exposed to poverty, have limited access to high-quality
health organizations, and have major stressors impeding their daily life activities.
Growing Numbers of People of Color
!e U.S. Census Bureau predicts that by 2044, the United States will be made
up by a majority of people of color as opposed to a nation with a majority White
population. (Pastor, Scoggins, & Treuhaft, 2017). Our nation has not e”ectively
addressed racial and ethnic inequities, which means that while the number of
people of color increase, it is accompanied by the problematic and disproportionate burden created by systemic inequities that negatively impact people of color.
!ere is a growing need to address these inequities, especially for the subset of
people of color who are most vulnerable to health challenges due to low incomes
and frequent challenges related to the social determinants of health. While it is the
case that most people with low incomes face health challenges, being a person of
color intersects with SES; thus, a person of color living in poverty will experience
worsened health impacts than a person living in poverty without this identity.
Inequities in health associated with race, for example, do not simply put patients
of color at risk of receiving less e”ective care, they also appear to be often at risk of
receiving more ine”ective care (Schpero et al., 2017) when they receive care. Inequities are also associated with system related factors such as ambulance diversion
(Hsia, Sarkar, & Shen, 2017), organ allocation protocols (Mathur, Ashby, Sands,
& Wolfe, 2010; Patzer & McClellan, 2012), and implementation of care delivery
models such as the patient-centered medical home (Washington et al., 2017).
People living in neighborhoods
with many resources are more
likely to engage in healthy
behaviors, whether these
behaviors are due to the wider
availability of primary care
services, stores offering healthy
food, or environments for safe
physical activities.
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Chapter 8. Vulnerable Populations 197
The Graying of America
On January 1, 2011, the !rst baby boomers turned 65 years old. Over the next
5 years, 8,000 people will turn 65 each day, qualifying many for Medicare. “e
population aged 65 and over increased from 35 million in 2000 to 41 million in
2011 (an 18% increase). As of 2013, people over 65 represented 13% of the U.S.
population, about one in every eight Americans. In 2030, when the entire baby
boom generation will have turned 65, seniors will make up one-fourth of the population. “e segment of the population 85 years and older is projected to increase
from 5 million in 2011 to 9 million in 2030 (Knickman & Snell, 2002).
Baby boomers will live longer than previous generations because of improvements in health care, technology, and lifestyles. “e elderly of 2030 will also be
better educated than the current elderly population, with rates of college graduation two times higher and high school dropout rates one-third less than the current elderly generation (Knickman & Snell, 2002). “is is good news for the future
health of baby boomers because there is a strong association between education and disability. College graduates have a disability rate about half that of high
school dropouts (Knickman & Snell, 2002). However, with the aging of America
and longer average life spans, the rates of chronic conditions associated with an
older population will also grow.
According to the Centers for Disease Control and Prevention (CDC), the average American over the age of 65 has multiple chronic conditions such as hypertension (72%), arthritis (51%), heart disease (31%), cancer (24%), and diabetes
(20%). In 2010, about 13.6 million persons aged 65 or older were discharged from
short-stay hospitals. “eir rate of discharge is three times the comparable rate
for persons of all ages. “e average length of stay in a hospital is longer for older
people. “e average length of stay for persons aged 65 to 74 was 5.4 days; for those
aged 75 to 84, it was 5.7 days; and for those aged 85 and over, it was 5.6 days. “e
comparable rate for persons of all ages was 4.8 days.
Health expenditures are a greater !nancial burden for older people, in particular for those with lower SES. “e majority of Medicare recipients (83%) are over
65 (Centers for Medicare & Medicaid Services [CMS], 2016). In 2013, the average out-of-pocket health care expenditures for all Medicare recipients was $5,503.
Average costs increased with age with people aged 65–74 with expenses at $4,676,
people aged 75–84 at $5,745, and out of pocket costs rising to $10,208 for people
85 and over (Cubanski, Neuman, Damico, & Smith, 2018). “is is an especially
large amount given that half of all people enrolled in Medicare live on less than
$26,000 a year, and the average Social Security income (SSI) in 2013 was $13,375.
For elderly populations on Medicare with no other income other than SSI, out-ofpocket health care spending in 2013 averaged a large portion of their income at
nearly a third (34%) for ages 65–74, 40% for those aged 75–84, and 74% for ages 85
and older. (Cubanski et al., 2018). “ese numbers are expected to increase by 2030
at 44%, 48%, and 87%, respectively. Out-of-pocket health care expenses made up
a larger proportion of costs for women, even though they had slightly higher SSIs,
their cost of care was higher, particularly for women over 75 (Cubanski et al., 2018).
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198 Part II. Keeping Americans Healthy
!eir age (a predisposing factor of vulnerability), coupled with the risk of
“nancial hardship (an enabling factor) and the increased possibility of chronic
conditions (another enabling factor), places older Americans—especially those
living in impoverished neighborhoods—at highest risk of vulnerability.
UNEVEN FOOTING AFTER THE GREAT RECESSION AND
A STRAINED SOCIAL SERVICE SECTOR
Between December 2007 and June 2009, the United States experienced an economic recession that was one of the longest and, by most measures, the worst
since the Great Depression (Grusky, Western, & Wimer, 2011). !is Great Recession began with the bursting of an $8 trillion housing bubble, which was then followed by massive job loss. A decade later, as a country, we “nd ourselves in a good
news/bad news moment. !e good news is that the Great Recession is behind
us. While most economic markers experienced low points through 2009–2010,
they began to recover by 2012–2014. For example, the annual Median Household
Income in the United States recovered from the Great Recession low of $54,569
in 2012 to an record high of $60,309 by 2016 (Federal Reserve Economic Data
[FRED], 2018). In December 2014, President Obama declared the Great Recession over and bailout measures instituted during the Bush and Obama administrations as mostly e$ective (Weisman, 2014).
!e bad news is that, despite more fully employed people, wage increases
have been sluggish and, since the Great Recession disproportionally a$ected
already vulnerable populations, imposing a larger burden and negative impact—
recovery has not been equitable. An analysis of the National Asset Scorecard and
Communities of Color found that while during the Great Recession White families typically saw 16% of their wealth taken, African American families had more
than half (53%) of their already proportionally lower wealth stripped away. Before
the Great Recession, African American families had less than a dime of wealth
for every dollar of wealth held by White families. After the recession, African
American families had, on average, about 6 cents for every dollar compared to
their White counterparts (Hamilton, Darity, Price Sridharan, & Tippett, 2015).
While the U.S. government passed a tax reduction plan aimed at alleviating the negative impact of the Great Recession, the bene”ts favored the wealthy
more than low- to middle-income persons (Saez & Zucman, 2016). To o$set the
resulting budget de”cits, policy makers reduced funding to the social service sector that aids vulnerable populations and keeps those at the edge from becoming
vulnerable (Stern & Axinn, 2018). In sum, the positive direction of the overall
economy has not been equitably distributed, and the tax cut is highly likely to
exacerbate economic and hence health and other inequities.
!e very same agencies that help to alleviate the economic and social e$ects
on families and communities are being stretched to the limit while experiencing cuts to their own budgets. One of such agencies is the U.S. Department of
Agriculture (USDA), which has experienced cuts to their Supplemental Nutrition
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Chapter 8. Vulnerable Populations 199
Assistance Program (SNAP). In 2018, SNAP bene!ts averaged close to $1.40 per
person per meal (Center on Budget and Policy Priorities, 2018). #ese cuts a$ect
some of the most vulnerable populations that participate in SNAP—including 22
million children (10 million of whom live in “deep poverty,” with family incomes
below 50% of the poverty line) and 9 million people who are elderly or have a
serious disability. Furthermore, while SNAP caseload declined as the economy
improved and the country recovered from the Great Recession, some of the
decline (at least 500,000 people) is the result of a provision that limits SNAP bene!ts for unemployed adults aged 18–49 who are not disabled or raising children.
#e 3-month limit, while contributing to falling caseloads, threatens to put individuals over the vulnerability edge.
ORGANIZATION AND FINANCING OF HEALTH CARE, POPULATION/
PUBLIC HEALTH/PREVENTION, AND OTHER SERVICES FOR
POPULATIONS EXPERIENCING HEALTH INEQUITIES
We have de!ned vulnerable populations and described the pathways through which
predisposing and enabling factors lead to vulnerability. We have also described
three main reasons why the number of vulnerable groups is projected to grow. In
this section, we provide an inventory of the existing resources and strategies set
in place to care for the vulnerable. First, we o$er a brief description of institutions
and structures within the health care system that deliver services for vulnerable
populations. #en, we describe !nancing mechanisms at the federal, state, and
private levels that support health care and social services for vulnerable groups.
More thorough and general treatments (not speci!c to vulnerable populations) of
some of the topics presented here are o$ered in other chapters of this book.
Public Hospitals
Public hospitals make up a large part of the safety net, providing services to large
portions of people who are uninsured, the underinsured, and those on Medicaid
and often serve some of the sickest, poorest, and most vulnerable populations.
#e mission of a public hospital within the safety net system is, quite simply, to
be the guarantor of health for the public (Gourevitch, Malaspina, Weitzman, &
Goldfrank, 2008). Public hospitals focus on providing care to the most vulnerable
groups within a community: the homeless, the disabled, documented and undocumented immigrants, high-risk mothers and infants, and those with limited pro-
!ciency in speaking and reading English. Public hospitals also provide services to
the incarcerated, respond to disasters within communities, provide trauma care,
and administer behavioral health and substance abuse treatment when necessary
(Gourevitch et al., 2008).
Most patients who receive health care services from public hospitals are low
income and uninsured; they also su$er disproportionately from preventable
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200 Part II. Keeping Americans Healthy
chronic health conditions. Many of these patients visit the emergency departments (EDs) of public hospitals to receive primary care because they lack a
primary care provider. Patients who use the ED for most of their health care,
regardless of urgency, are referred to as high utilizers (see case exercise 2).
Federally Qualified Health Centers
Federally quali!ed health centers (FQHCs) are systems of safety-net providers
that serve predominantly vulnerable groups living in underserved communities.
“ese centers are overseen by the Health Resources and Services Administration
(HRSA) of the U.S. Department of Health and Human Services (DHHS).
“e FQHC program allocates special Medicare and Medicaid cost-based
reimbursement payments to health centers for legislatively speci!ed services. To
qualify as an FQHC, a safety-net provider must meet the following criteria:
■■ Provide services in communities identi!ed as “predominantly medically underserved
areas” or provide services to a target population documented to be underserved
■■ O#er the required primary and preventive health services, meet speci!c sta$ng
requirements, and o#er a sliding-fee payment scale for services rendered
■■ Participate in an ongoing quality assurance program
■■ Have a governing board of directors that includes representatives from the populations served
FQHCs include these facilities:
■■ Community health centers (CHCs)
■■ Migrant health centers (MHCs)
■■ Health care for the homeless centers (HCHs)
■■ Public housing primary care centers (PHPCCs)
Community Health Centers
Riding on the successful passage of the 1964 Civil Rights Act and President Johnson’s War on Poverty e#orts, Tufts University physicians H. Jack Geiger and Count
Gibson submitted proposals to the federal O$ce of Economic Opportunity (OEO)
for funding to establish what they called “neighborhood health centers” in innercity, underserved areas across the United States (Hawkins & Groves, 2011). “e
Economic Opportunity Act of 1964 provided federal funds for two such centers;
both were built in Boston, Massachusetts, in 1965 (National Center for Farmworker Health, n.d.). Building on a community-based health care model already
thriving in South Africa, these two CHCs o#ered comprehensive primary health
care that focused on outreach, disease prevention, social support services, and
patient education activities, including nutritional education and counseling and
sanitation education. Dr. Geiger and Dr. Gibson believed that treating patients
with dignity and respect, regardless of age, race, health status, or income level,
and engaging them in their own health and health care were of critical importance
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Chapter 8. Vulnerable Populations 201
and promoted these beliefs as central tenets of CHC care (Adashi, Geiger, & Fine,
2010). !ese numbers have increased over the last few years. In 2010, there were
more than 8,000 CHCs, which served about 20 million people in the United States,
or 5% of the population (Adashi et al., 2010); in 2015 more than 9,750 CHCs served
more than 24.3 million individuals, or about nearly 8.3% of U.S. residents. More
than half the population served (55%) lived in rural areas. !is number of CHCs
has increased in the past few years, in part due to the increase in federal funding,
and the ACA’s provisions, which increased the number of people eligible for in
individuals eligible to receive care. A trust fund speci”cally for health centers was
also created through the ACA (Paradise et al., 2017).
Migrant Health Centers
MHCs serve the migrant and seasonal farm workers who come to the United
States each year to harvest, plant, and tend to agricultural crops. Patients pay for
care on a sliding scale (an average visit costs $30). Currently, 156 MHCs operate
within the CHC system in the United States. In 2011, the federal government
spent $166 million to help pay for the care of close to 1 million migrant and seasonal farmworkers (Galewitz, 2012).
Health Care for the Homeless Centers
Although eligible for federally funded health care, approximately 70% of homeless
health center patients lack health insurance and face signi”cant barriers to care
elsewhere in their communities (National Health Care for the Homeless Council, 2008). !e Health Care for the Homeless program was initially authorized
under the Stewart B. McKinney Homeless Assistance Act of 1987. HCHs provide
comprehensive medical services to the homeless, including pediatric and adult
primary care, screening, health education, referrals for specialty medical care,
transportation services, social service outreach, and both long- and short-term
rehabilitative care. By statute, the HCH program receives 8.7% of the total health
center appropriations for all FQHCs.
Public Housing Primary Care Centers
PHPCCs are health centers that provide comprehensive medical care and social
support services to individuals who live in public and assisted housing. Currently
there are 63 PHPCCs in 25 states and Puerto Rico, and these centers provided
services to nearly 171,731 public and assisted housing residents in 2012 (National
Center for Health in Public Housing, 2012).
RURAL HEALTH CLINICS AND RURAL HEALTH NETWORKS
Rural health clinics (RHCs) were created as a result of the Rural Health Clinic
Services Act of 1977. !is federal legislation provided reimbursement not just
for services provided by full-time doctors but also for preventive and primary care
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202 Part II. Keeping Americans Healthy
services done by health professionals called mid-level providers (MLPs), such as
nurse practitioners (NPs) and physician assistants (PAs) at clinics in underserved
rural areas across the United States. !is legislation was established both to
alleviate the burden on the limited number of full-time doctors and specialists
and to cut down on emergency care spending (DHHS, O”ce of Rural Health
Policy, 2006).
Rural health networks (RHNs)—also known as rural health alliances, cooperatives, or a”liations—are systems of care in rural areas that include at least
one rural hospital and two other separate community health organizations, such
as a nursing home or a public health unit. !ese networks operate by pooling
resources in ways such as developing continuing education programs, investing
money in electronic medical record systems for easier care coordination between
providers, and supporting advocacy activities within the communities served by
the RHN (DHHS, O”ce of Rural Health Policy, 2006). !ese networks were created out of necessity to foster collaboration and discourage reduction in services
due to unwarranted competition (Moscovice, Gregg, & Lewerenz, 2003).
Indian Health Services
Because of the history of oppression and enduring health inequities Native
Americans are considered a special group and have continued to face disproportionate health inequities. !e relationship between the U.S. federal government and North American native peoples (Indian tribes) began in 1787 and has
evolved ever since with various laws, treaties, and executive orders to protect
their status (DHHS, Indian Health Services [IHS], 2014).
!e IHS has an annual budget of about $4.8 billion and is the primary federal
health care provider for approximately 2.2 million of the estimated 3.7 million
American Indians and Alaska Natives who belong to the more than 567 federally
recognized tribes in 37 states (DHHS, IHS, 2017).
!rough a network of 45 hospitals and more than 293 clinics, IHS programs
provide Native Americans with preventive, primary, dental, and emergency medical care; mental health and substance abuse prevention and treatment; nutrition
education; access to referrals and resources; and social service support, including
(but not limited to) assistance in applying for federally designated public housing for Native Americans and other need-based bene#t programs such as SNAP,
Women, Infants, and Children (WIC), and Temporary Assistance for Needy
Families (TANF).
Mental Health and Chemical Dependency Services
In 1963, Congress passed the Mental Retardation Facilities and Community Health
Centers Construction Act, which provided federal funding for the development
and implementation of community-based mental health centers (CMHCs). With
the exception of the most severely mentally ill, most previously institutionalized
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Chapter 8. Vulnerable Populations 203
patients were released into their communities and encouraged to seek care at
these new CMHCs and other, similar facilities (Unite for Sight, n.d.).
Unfortunately, CMHCs are underfunded and understa!ed; as a result, many
people living with mental illness or chemical dependence are not receiving the
proper comprehensive care they need. Many ultimately end up homeless or in
prison. According to the
Journal of Community Mental Health, the combination
of deinstitutionalization and inadequate and underfunded community care has
led to transinstitutionalization, a phenomenon in which prisons, instead of psychiatric or detoxi”cation facilities, become the main providers of highly structured, controlled living environments for the severely mentally ill and chemically
dependent (Prins, 2011).
Not only are mentally ill individuals more likely to be incarcerated or homeless, they also contribute signi”cantly to the cost of ED care in hospitals across
the country. By one federal estimate, spending by general hospitals to care for
these patients will nearly double in 1 year—from $20.3 billion in 2013 to $38.5
billion in 2014 (Creswell, 2013).
Special Populations: HIV/AIDS Programs
Legislation to address the AIDS epidemic was “rst enacted in 1990 as the Ryan
White Comprehensive AIDS Resources Emergency (CARE) Act. Since then, the
legislation has been amended and reauthorized four times to accommodate new
and emerging medical and social needs; it is now called the Ryan White HIV/
AIDS Program (Henry J. Kaiser Family Foundation, 2013). HRSA estimates that
more than 500,000 individuals receive at least one medical, health, or related support service through a Ryan White program each year (Henry J. Kaiser Family
Foundation, 2013). #e multiple parts of the Ryan White Program all emphasize
risk reduction and prevention through interventions at both individual and community levels. For those a!ected, intensive case management in a communitybased health care setting is critical to a long life (Aday, 2001).
Despite the delayed response to the HIV/AIDS epidemic in the United States,
the wraparound services provided through the Ryan White Program serve as a
model for responding to health needs with a whole person approach. No other
vulnerable population has been able to advocate as e!ectively for that level of
support.
SOCIAL SERVICE NEEDS
Spanish philosopher José Ortega y Gasset posited, “Yo soy yo y mi circunstancia,
y si no la salvo a ella no me salvo yo
”, which loosely translates as “I am myself and
my circumstance; if I do not help it, I cannot help myself.” In that same spirit,
social needs are the
circunstancia that enables the events that lead people with
predisposing characteristics to become vulnerable. Toward the end of the 19th
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204 Part II. Keeping Americans Healthy
century and sporadically throughout the 20th century, the United States made
attempts to advance social change. Examples include President Franklin D. Roosevelt’s New Deal in response to the Great Depression; the previously mentioned
War on Poverty waged by President Johnson; President John F. Kennedy’s work in
support of progressive taxation, a!ordable housing, and extension of social welfare, and President Barack Obama’s passage of the Patient Protection and A!ordable Care Act (ACA). “e existing safety net of social services is an amalgam
of programs that, though not completely infallible, provides some support for
vulnerable populations, potentially making the di!erence between maintaining
good health outcomes and succumbing to illness.
In this section, we highlight three types of social service programs: (a) food
assistance, (b) monetary assistance, and (c) housing assistance.
Food Assistance
All food assistance programs listed in this section are administered and funded
through the USDA Food and Nutrition Service Agency.
Supplemental Nutrition Assistance Program
“e #rst food assistance program was implemented in May 1939 but was shut
down in 1943 because “unmarketable food surpluses and widespread unemployment no longer existed” (USDA, Food and Nutrition Service, n.d.). It wasn’t until
President Kennedy came along 18 years later that a second food assistance program was implemented. Kennedy’s program eliminated the concept of di!erent
stamps for di!erent foods and encouraged bene#ciaries to use their stamps to
buy healthy food (USDA, Food and Nutrition Service, n.d.). In September 2007,
the Food Stamp Program was renamed SNAP (Supplemental Nutrition Assistance Program) to decrease the stigma associated with the term “food stamps”
and to encourage those who need bene#ts to apply for them. SNAP enrollment
has generally increased over time and was at its highest point in 2013, when more
than 47 million individuals received SNAP bene#ts. Since 2013, this number of
SNAP enrollees has declined annually to mid-2010 levels with more than 42
million receiving SNAP bene#ts in 2017 (U.S. Department of Agriculture, 2018).
Women, Infants, and Children
“e Special Supplemental Nutrition Program for Women, Infants, and Children was authorized by the Child Nutrition Act of 1966 and o$cially launched
in 1974. WIC state agencies receive federal funding to pay for WIC foods,
nutrition-related services, and administrative costs (Association of State and Territorial Health O$cials, 2010). Pregnant, breastfeeding, or postpartum women,
as well as infants and children up to age 5, are eligible for bene#ts if (a) they
meet a predetermined income standard; (b) they already receive SNAP, Medicaid,
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Chapter 8. Vulnerable Populations 205
or TANF bene!ts; or (c) they have documentation from a medical professional
explaining that the mother, her children, or both are at nutritional risk (Kent,
2006). Preliminary data for 2017 estimates that WIC had more than 7.2 million
participants. “e program costs an average of $41.22 per month per participant
(USDA, Food and Nutrition Service, 2018).
Other Federal and Private Food Programs
“e USDA Food and Nutrition Service administers 11 additional supplemental
nutrition programs, ranging from reduced-price or free lunch programs for elementary school children (“e National School Lunch Program [NSLP]) to emergency food assistance programs that organize and fund food banks, pantries, and
soup kitchens to distribute food items to low-income people (USDA, Food and
Nutrition Service, n.d.).
“e rise in food insecurity since the 1980s has not kept up with federal food
program availability. “us, a network of private food assistance programs has
emerged to try to !ll the gap between need and federal support. “is private
food assistance network relies on food donations; at-cost bulk purchasing; and
food rescue of perishable, nonperishable, and prepared foods (Daponte & Bade,
2006).
Monetary Assistance
Support for vulnerable individuals and families in the form of monetary assistance is aimed at o#ering both short-term and long-term !nancial relief to meet
basic needs. Several federal agencies administer monetary assistance.
Temporary Assistance for Needy Families
TANF is a monthly cash assistance program for low-income families with children established under the Personal Responsibility and Work Opportunity Reconciliation Act of 1996 as a replacement to the Aid to Families with Dependent
Children (AFDC) program. TANF is overseen by the O$ce of Family Assistance
(part of the DHHS Administration for Children & Families), but control over
implementation is given to states (Purtell, Gersho#, & Aber, 2012).
Supplemental Security Income
President Richard M. Nixon passed the federal Social Security Amendments of
1972 in an e#ort to centralize the administration of Social Security and reduce
inequalities among the state-run adult assistance programs already in existence.
Today, the federal Supplemental Security Income (SSI) program administers cash
assistance each month to eligible individuals aged 65 and older, the blind, and
mentally or physically disabled children and adults. A preset federal bene!t rate
determines bene!t levels (U.S. Social Security Administration, n.d.).
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206 Part II. Keeping Americans Healthy
Unemployment Insurance
Unemployment insurance (UI) is available to people who have lost their jobs
through no fault of their own but as a result of circumstances such as employer
cutbacks. Federal funds are distributed through the U.S. Department of Labor
to each state; states then administer their UI programs according to statedetermined criteria.
Housing Assistance
!e “rst major investment in housing assistance in the United States took place
in 1932, when—in the midst of widespread unemployment and homelessness
resulting from the Great Depression—Congress passed the Emergency Relief
and Construction Act (U.S. Department of Housing and Urban Development,
n.d.). !is act created the Reconstruction Finance Corporation (RFC), an agency
whose responsibility it was to make loans to private corporations that were providing housing for low-income families. From 1932 to 1956, four housing acts
were enacted; these continued through the 1960s and into the 1970s. Funding
included federal investments in new housing construction; the preservation of
existing housing resources; and the development of safer, better public housing
communities.
!e McKinney-Vento Homeless Assistance Act of 1987 established the Supportive Housing Program (SHP) especially for the homeless. !e 2009 American
Recovery and Reinvestment Act (ARRA) included new housing programs, most
notably the Homelessness Prevention and Rapid Re-Housing Program (HPRP).
!is program allocated $1.9 billion in funding to homelessness housing. Funds
allocated for HPRP helped with short-term or medium-term rental assistance
and housing relocation and stabilization services, including such activities as
mediation, credit counseling, security or utility deposits, utility payments, moving cost assistance, and case management.
!is section has not presented an exhaustive list of federal and private social
services available for vulnerable populations. For example, in terms of housing,
there are services that o#er long-term care for elderly and disabled people, such
as nursing homes, and supportive at-home services that allow for aging in place,
such as home health aides.
!e next section o#ers a more detailed picture of the payment system that
covers the health care of vulnerable populations.
FEDERAL AND STATE FINANCING OF CARE FOR
VULNERABLE POPULATIONS
!ere are three main payers for health care for the vulnerable: (a) the federal
government; (b) the states; and (c) private sources, including employers, insurers,
and philanthropic organizations.
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Chapter 8. Vulnerable Populations 207
At the federal level, the primary health care payment programs are Medicare,
Medicaid, and the Children’s Health Insurance Plan (CHIP). !ese programs are
managed by the CMS; however, each state has the power to administer its Medicaid program. Medicaid-eligible individuals typically include low-income individuals and families who fall below a certain federal poverty level (FPL) threshold
and those receiving SSI. As we discuss toward the end of the chapter, the ACA
has greatly increased the enrollment for both CHIP and Medicaid.
Medicaid provided health coverage for approximately 34.5 million children (including the 6.5 million receiving coverage through CHIP), 26.7 million adults, 5.7 million seniors, and 10.6 million persons with disabilities on
average monthly in 2016 at a total cost of $565.5 billion (CMS, 2018a). CMS
reports that under the current law, national health spending is expected to
grow under in the period 2017–2026, at an average rate of 5.5% each year,
resulting in an estimated $5.7 trillion in 2026 (Center for Medicare & Medicaid
Services, 2018b).
Individuals eligible for Medicare include the elderly (ages 65 and older), some
people under 65 with qualifying disabilities, and people with kidney failure requiring dialysis. !e most recent estimate of Medicare expenses in 2016 reported a
yearly program cost of $672.1 billion, with bene”ciaries exceeding 57.1 million,
including 8.8 million people who are disabled, and 48.1 million people aged 65
and older (CMS, 2018b).
Individuals who are
dual eligibles qualify for both Medicare and Medicaid
and are among the sickest and poorest in the United States; more than half
have three or more chronic conditions, and more than 40% have a mental
health diagnosis (CMS, 2018c). !is population is three times more likely than
the Medicare-only population to be disabled (Fontenot & Stubble”eld, 2011).
Although they represent a relatively small percentage of the overall Medicare
and Medicaid populations, the cost for people who are dual eligible totals $306
billion (approximately 33%) of annual spending between the two programs
(CMS, 2018c). Disproportionate levels of funding for state Medicaid programs
means the resources available for people with dual eligibility vary from state
to state. Part of the high cost can be reduced through better care coordination
and treatment, as individuals who are dual eligible must also bear the burden of
navigating both programs. !e Medicare-Medicaid Coordination O#ce aims
to increase e$ectiveness and coordination between the two programs; however,
this is only a recent development as it was created by section 2602 of the ACA
(CMS, 2011).
!ere is a segment of the vulnerable population that neither quali”es for
subsidized care nor receives care through an employer or other private funder.
To o$set the burden of o$ering care for the uninsured, federal law o$ers a
modi”ed payment strategy called the Medicaid and Medicare
Disproportionate Share Hospital (DSH) program. DSH payments are available to qualifying
hospitals that have a high number of Medicaid and Medicare patients and uninsured individuals (Mitchell, 2013). Under the ACA federal payments through
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208 Part II. Keeping Americans Healthy
the DSH were scheduled to be reduced in 2014. !is reduction of a total of $43
billion was delayed and will take place in 2018, starting with a $2 billion cut.
!e reduction is set to increase incrementally until it reaches a $8 billion cut
by 2025. !is will signi”cantly reduce DSH funds, as federal spending for DSH
allotments in 2014 was $11.7 billion (Cunningham, Rudowitz, Young, Gar”eld,
& Foutz, 2016). Cuts to DSH pose risks to safety net hospitals and public hospitals that serve higher numbers of populations who are either without insurance,
on Medicaid or Medicare and who rely more heavily on DSH funding (Cunningham et al., 2016).
CHALLENGES FOR SERVICE DELIVERY AND PAYMENT
!e systems of care and “nancing mechanisms currently available in the United
States, well intentioned as they are, fall short of their goal of taking care of vulnerable populations. At best, the programs and services are disjointed and, at
worst, they o#er temporary solutions that deal with isolated problems, and for
very targeted populations. For instance, a person’s drug or alcohol dependency
may preclude him or her from eligibility for supportive housing. Yet, stable housing has been linked to recovery from addictions. !e common response by policy
makers—and common practice by researchers—is to focus on distinct populations when examining and addressing the needs of vulnerable populations. Disparate and disjointed programs are created to address the needs of children, the
elderly, the physically disabled, the chronically ill, the mentally ill, substance
abusers, persons with HIV/AIDS, the homeless, residents of rural areas, immigrants, individuals with limited or no English pro”ciency—the list goes on and
on. Yet, the distinctions among many of these vulnerable groups are thin and
arti”cial. Many of these groups share common traits and experience a convergence of multiple vulnerable characteristics. !ese subpopulations are more
likely to live in poor communities; less likely to have access to high-quality health
and education; and less likely to have the “nancial resources to secure adequate,
stable, a#ordable housing.
!e programs and services available are not very cost-e#ective; this puts
them at the mercy of critics who would prefer less government involvement in
the care of vulnerable individuals and their families. !e current market-driven
health care delivery and payment system is one that gives providers “nancial
incentives for the volume, not the quality, of services delivered. Some areas for
improvement related to delivery and payment are discussed later. In this section,
we “rst point out how (and where) the current ways in which care is delivered
and payment is structured fall short of their goal to take care of the vulnerable
while containing cost. Second, we highlight emerging service delivery models
and innovative payment strategies created to reach the Triple Aim—better care
for individuals, better health for populations, and lower cost—as it pertains to
vulnerable populations.
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Chapter 8. Vulnerable Populations 209
A Fragmented Delivery System
Health care initiatives to reduce the barriers created by vulnerability rarely recognize the common overlap of risk factors, and
few studies have examined the combined
in!uences of multiple risks on obtaining
needed health care services (Shi & Stevens,
2005). “e main issues that emerge in a
review of delivery systems created to care
for vulnerable populations include (a) fragmented and siloed structures and (b) a focus
on health and psychological needs that does
not always recognize the link between social
needs and health.
Fragmentation refers to care that is delivered by di#erent providers who are
not co-located or within proximity of each other. Where fragmentation exists,
patients must make and manage multiple appointments that may require, for
example, more days o# from work to attend appointments. Silo structures refer
to care o#ered by multiple providers who do not consult with each other. An
endocrinologist, for instance, may be unaware of the medications prescribed by a
psychiatrist treating a patient’s depression—which may have weight gain as a side
e#ect, thus disrupting the patient’s diabetes management.
Although there has been budding awareness of the importance of meeting social and other nonclinical needs in relationship to health, the U.S. delivery system has not made the necessary transformation to make this possible. For
example, food insecurity would make it hard for a person managing cardiovascular disease to eat more fruits and vegetables because that person may depend
on a local emergency food provider that is unequipped to receive and distribute
produce.
Volume Versus Value
A major weakness of our current payment system is that it encourages a
volume-driven health care system rather than a value-driven health care
system. Under fee-for-service (FFS), providers (such as hospitals, physicians,
and health centers) gain increased revenue and pro$t by delivering more services
to people.
“is payment model becomes an enormous barrier to delivering e#ective
and e%cient care to vulnerable populations. Providers have little or no incentive to spend the necessary time with an individual who has complex medical,
behavioral, and social needs in order to determine a course of action that will
address the underlying complexities of the patient’s life. Providers are more likely
to address the present health crisis a#ecting the individual—usually by delivering
Health care initiatives to
reduce the barriers created by
vulnerability rarely recognize the
common overlap of risk factors,
and few studies have examined
the combined in!uences of
multiple risks on obtaining
needed health care services.
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210 Part II. Keeping Americans Healthy
more diagnostic tests, prescribing more medication, or making more referrals
to costly specialists. FFS payment systems also reinforce fragmentation of care
by paying multiple providers for multiple services or tests for the same patient,
regardless of whether the care is coordinated or duplicative.
Behavioral and social services operate in an entirely di!erent realm than medical care; such a vast, complex web of disconnected services is available for vulnerable populations that the time and e!ort required to coordinate and manage
transitions across necessary services are beyond any reimbursement rate set by
public or private payer. Instead, there is a perverse payment system that rewards
the provider for delivering more health care services, rather than addressing (by
connecting patients to critical services) the pressing social and behavioral problems that negatively a!ect the patient’s health outcomes.
Reactive Versus Preventive Care
Only a small fraction of health care spending is devoted to the promotion of
healthier behavior, despite the fact that preventable chronic diseases are linked to
smoking, obesity, lack of exercise, and drug and alcohol use (DeVol et al., 2007).
“ere are very few incentives in the health care system to promote prevention
and early intervention, especially in the case of chronic diseases. Only a small
percentage of health care spending is devoted to promoting healthier behavior,
despite the fact that preventable chronic diseases are linked to lifestyle behaviors,
such as smoking, exercise, and drug and alcohol use, and to social determinants
of health (McGinnis, Russo, & Knickman, 2002). “is is explored more in Chapter 5 on population health.
EMERGING AND TESTED IDEAS FOR BETTER HEALTH DELIVERY
Health care leaders and policy makers are grappling with how to improve our
health delivery system. In this section, we highlight emerging service delivery
models created to improve health outcomes for vulnerable groups while containing the cost of care. De#nitions and descriptions of these budding models are
explained, along with case studies that have implemented these models.
Delivery Strategies That Work
Growing evidence shows that three distinct delivery strategies—care coordination, patient engagement and team-based care, and integration of care—help to
meet the needs of vulnerable populations. We describe these strategies and discuss the
meaningful use of data to drive them.
Care Coordination
Creating successful integrated delivery systems for vulnerable populations
requires several factors: (a) an emphasis on primary care; (b) coordination
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Chapter 8. Vulnerable Populations 211
of all care, including behavioral, social, and public health services; and (c)
accountability for population health outcomes (Witgert & Hess, 2012). !e
Agency for Healthcare Research and Quality (AHRQ) de”nes care coordination as:
[T]he deliberate organization of patient care activities between two or more participants (including the patient) involved in a patient’s care to facilitate the appropriate
delivery of health care services. Organizing care involves the marshaling of personnel and other resources needed to carry out all required patient care activities, and
is often managed by the exchange of information among participants responsible
for di#erent aspects of care. (AHRQ, 2014)
According to a 2011 report published by the American Hospital Association,
promising practices that will improve care coordination include (among other
practices) conducting periodic home visits, facilitating and encouraging data
sharing through the use of integrated health information systems (i.e., electronic
medical records [EMRs]), providing non–health care services such as transportation to appointments, and employing and incorporating specially trained teams
of providers that are aware of each patient’s cultural and language backgrounds
and can administer guidance and advice as they see “t (Fontenot & Stubble”eld,
2011).
Patient Engagement and Team-Based Care
Patient engagement is generally de”ned as the process of involving individuals in their health care, disease management, or preventive behaviors. Providers
can—and do—play an important role in the health outcomes of their patients;
however, after a patient has left the doctor’s o$ce, the patient’s health is largely in
his or her own hands. Low income, lack of education, language barriers, and not
having a regular source of care are some of the many risk factors that may create
signi”cant barriers to accessing necessary health care services (Shi & Stevens,
2005). Patients are expected to follow recommended care management plans,
communicate regularly with their providers, and make positive lifestyle changes;
however, patients—especially those within vulnerable populations—lack the
energy, money, knowledge, and skills needed to navigate successfully their often
complex health conditions, regardless of whether they are sick or well (Center for
Advancing Health, 2010).
Patient engagement works best when it involves a team that not only possesses clinical expertise, but also considers patients’ socioeconomic needs (such
as the importance to clinical outcomes of stable housing) and provides coordination (e.g., across multiple providers or between community-based organizations and the health system). !e ideal care team includes not only physicians
and nurses directing decisions related to medical care, but also psychiatrists,
psychologists, or other licensed clinical social workers who support behavioral
and mental health, as well as social workers who can provide counseling and
access to social services via referrals (Manahan, 2011; Volkmann & Castanares,
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212 Part II. Keeping Americans Healthy
2011). More and more, such multidisciplinary teams include outreach specialists and community health workers, especially when addressing the needs of
vulnerable populations (Martinez Garcel, 2012; Volkmann & Castanares, 2011).
A 2014 report on Bronx Lebanon Hospital’s utilization of community health
workers (CHWs) showed that CHWs help to reduce the number of ED visits
and hospitalizations, thus reducing health care costs and contributing to the
management of chronic disease (Findley, Matos, Hicks, Chang, & Reich, 2014).
Case Exercise 8.1 expands on the Bronx-Lebanon Hospital example (Findley
et al., 2014).
CHWs play a critical role in patient engagement. !ey can explain reasons for
their actions in layman’s terms and provide a support system that allows patients
to feel they have the power to navigate the system and take control of their condition. When care coordination includes the support of individuals such as CHWs,
patients have the help they need to think through how to integrate self-management of their chronic conditions into their existing life circumstances and—in
the best of cases—are directed to the auxiliary services they need to get a handle
on their nonmedical problems, stabilize their routines, and have better health
outcomes.
Bringing It All Together: An Integrated System
Populations that are vulnerable due to low income or poor health stand to bene”t
from the integration of care. Integrated health care delivery systems provide or
arrange a coordinated continuum of health care services to a de”ned population, and these delivery systems hold themselves accountable for the outcomes
and health status of their patients (Witgert & Hess, 2012). By ensuring appropriate care, avoiding duplication of services, and reducing fragmentation within a
preventive framework, integrated delivery systems seek to promote health care
equality while controlling costs.
Use of Data in Improving Care
EHRs (electronic health records) and advances in information technology (including geographic information systems) have created new opportunities to improve
the e#ectiveness and e$ciency of care—particularly for vulnerable populations.
Such technological advances have facilitated the use of large data sets to inform
health care delivery and to conduct comprehensive cost and utilization analysis
by population type, geography, and more.
One of the most compelling examples of data-reliant integrated care is the
work of New Jersey’s Camden Coalition of Healthcare Providers (CCHP), which
utilizes the Camden Health Information Exchange (HIE) to track, monitor, and
target services for the highest-cost patients across health systems in Camden.
Case Exercise 8.2 expands on the example of the Camden Coalition.
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Chapter 8. Vulnerable Populations 213
CASE EXERCISE 8.1—PATIENT ENGAGEMENT: BRONX-LEBANON
HOSPITAL DEPARTMENT OF FAMILY MEDICINE’S PATIENTCENTERED MEDICAL HOME
The South Bronx is home to a vibrant community, albeit poor, young, and with high rates
of every illness now reaching epidemic proportions in the United States: diabetes, asthma,
HIV, drug use, and obesity, to name a few. It is also the home of the Bronx-Lebanon Hospital
Department of Family Medicine’s Patient-Centered Medical Home.
The hospital’s chair of family medicine, Dr. Douglas Reich, was grappling with the department’s goal of improving health outcomes for the patients with the most complex life contexts.
Beyond completing the very important clinical tasks of diagnosis and treatment, Reich’s clinicians lacked the time and the skills to conduct meaningful discussions that would help to
provide a better context for patients’ care: What were the barriers to following a treatment
regimen? What was getting in the way of managing illness? Was there room for prevention?
An even greater challenge was reaching the hundreds of people who were in need of health
care but going without.
In 2007, the Community Health Worker (CHW) program was established. CHWs, supervised
directly by the department chair, received extensive training to ful!ll their role as care managers. Integration into the care team was achieved by creating opportunities for shared learning
and cross-education about team roles, for CHWs and clinical members alike, through continuing education, rounds, staff meetings, and so on.
Achieving CHW program sustainability required additional infrastructure, and protocol
changes were necessary, the following among them:
■■ Recognition of CHW team contributions, including assessments and feedback within the
department and hospital administration
■■ Shared group visits with a CHW and a physician
■■ Elaboration of the care management process
■■ Focus of work on interactions with patients
The patients assigned to CHWs demonstrated improvements in medication compliance,
increased self-management of chronic conditions, and showing up for follow-up primary care
appointments. In several cases, there has been a reduction of ED use and inpatient hospitalization. The CHW program at Bronx-Lebanon Hospital Department of Family Medicine has
yielded important lessons for other patient-centered medical homes interested in expanding
their care teams to enhance patient engagement.
t
CASE EXERCISE 8.2—INTEGRATED CARE: CAMDEN COALITION OF
HEALTH CARE PROVIDERS
Founded in 1828, Camden, New Jersey, was once the center of a thriving manufacturing
industry. As with many other U.S. cities, deindustrialization led to high poverty rates that,
coupled with political corruption and consistently high rates of violent crime, earned the city
the dubious title of poorest city in the country. In addition to high unemployment rates, Camden is home to many Medicaid and Medicare bene!ciaries and to others who are uninsured.
t
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214 Part II. Keeping Americans Healthy
Dr. Jeffrey Brenner, a family physician operating a solo practice in Camden, recognized
patterns of overspending that did not result in better health outcomes for Camden residents.
In 2002, he and a small group of other primary care providers began meeting over breakfast
once a month to discuss the issues they faced in their practices. It quickly became evident
that all of the providers experienced many of the same barriers. In 2003, Dr. Brenner and colleagues founded the Camden Coalition of Healthcare Providers and set out to convince local
stakeholders that an integrated health delivery model, in which patient data were shared and
care coordinated, would result in better care for Camden residents (Gawande, 2011).
The coalition showed how vulnerable populations, in absence of a well-integrated and
supportive health care system, have higher numbers of ED visits, suffer from more chronic
disease, have access to fewer preventive services, and seek more reactive care than their
peers living less chaotic lives. The analysis looked at 480,000 records for 98,000 patients by
pooling data from the major health care institutions serving Camden for the period between
2002 and 2009. They results showed that 50% of Camden residents used the ED or the hospital in one year. Those individuals with the highest number of ED visits and hospitalizations
citywide (“super utilizers”) accounted for 324 visits in !ve years and 113 visits in one year.
Thirty percent of costs were incurred by 1% of patients, 80% of costs were incurred by 13% of
patients, and 90% of costs were incurred by only 20% of patients. The most expensive patient
incurred $3.5 million in health care costs.
For vulnerable populations, crisis is the baseline. At the heart of crisis is the con”uence
of economic, social, geographic, and demographic factors that create the conditions for poor
health and make management of illness a dif!cult task. When conducting a spatial analysis
of Camden hospital cost data, the coalition found areas of the city with high concentrations of
utilizers. In fact, several buildings each year were responsible for between $1 and $3 million
in hospital costs. Furthermore, 6% of city blocks accounted for 18% of patients and 37% of
billable visits.
The Camden team created an integrated model of care in response to these !ndings. Members of the care team check in with individual patients to ask about issues including, but not
limited to, their un!lled prescriptions, reasons for missing appointments, and any emerging
health issues. All patients have access to the coalition’s health care crisis hotline, always
staffed by a health care provider who can offer advice in an emergency situation.
Since the coalition formed in 2003, analysis of the data from the !rst 36 super utilizers
has shown a 40% reduction in hospital and ED visits per month, and a 56% reduction in their
average combined hospital bills (from $1.2 million to $500,000; Gawande, 2011).
Opportunities in the ACA to Meet Health Care Needs of
Vulnerable Populations
On March 23, 2010, President Obama signed the ACA into law and altered the
landscape of U.S. health care policy, with the intention to increase and improve
health care access and quality of care for vulnerable populations. In addition,
the ACA provided major investments to expand FQHCs and initiated e!orts to
change how health care is delivered and paid for in the United States.
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Chapter 8. Vulnerable Populations 215
!e sections below discuss the and the improvements and opportunities for
increased access under the ACA as well as its gaps and current limitations.
Increased Insurance Coverage for Individuals
One of the most immediate e”ects of the ACA is that it has increased coverage for
millions of people, particularly for low-income adults (Sommers, Blendon, Orav,
& Epstein, 2016). !e United States is currently at a historically low uninsured
rate (Kantarjian, 2017); in 2010 an estimated 48.3 million people were uninsured,
in 2015 that number dropped to 28.7 (National Health Interview Survey, 2015).
!e ACA has played a signi#cant role in increasing coverage and has provided
a variety of pathways that allow people to access coverage who might otherwise
not be eligible (Kantarjian, 2017; Frean et al., 2016). !is included a provision that
allowed for extended coverage from a parent’s insurance until a young adult was
26 years old and expanded Medicaid eligibility to adults with incomes up to 138%
of the FPL. It also included tax credits and subsidies based on income for people
within 100% and 400% of the FPL, which lowered the cost of insurance through
the health care marketplace, and laws that prevented insurers from discrimination against individuals with preexisting health condition and an insurance mandate (Frean et al., 2016).
While researchers could not explain all of the increases in health insurance
coverage through the ACA, they estimate that of the 60% they can link to speci#c
provisions, 40% of the gains are due to price subsidies and 60% is from Medicaid
expansion (Frean et al., 2016). As of January 2018, all but 18 states have adopted
Medicaid expansion (Henry J. Kaiser Family Foundation, 2018). While the decision to not expand Medicaid has resulted in disproportionate rates of access to
care among states, the expansion of Medicaid is linked to an increase in coverage, even in states where coverage was not expanded. In states where Medicaid was expanded, uninsured people who were previously ineligible enrolled in
Medicaid for the #rst time. In non-Medicaid expansion states, scholars believed
a “woodwork e”ect” took place in which individuals who were previously eligible
for Medicaid but had not been enrolled seemingly came out of the woodwork
(Frean et al., 2016).
Improving Access to Community Health Centers
!e ACA included large investments to expand FQHCs. !rough the expanded
availability of health insurance, particularly Medicaid, to low-income people,
the ACA also included large investments in expanding FQHCs to improve care
to this population. For instance, the law appropriated $11 billion in mandatory funding increase for Section 330 grants from 2011 to 2015. !e law also
boosts funding for FQHCs through increased payment rates for primary care
physicians serving Medicaid bene#ciaries. As of 2014, Medicaid providers will
be paid at 100% of the rate paid to Medicare providers. !ese provisions will
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216 Part II. Keeping Americans Healthy
lead to increased access to primary care for vulnerable populations, both by
increasing the capacity of this safety net and by creating a !nancial incentive
through increased reimbursement for physicians to accept more people covered
by Medicaid.
Advancing Payment and Delivery Reform
“e ACA called for several underlying themes to alter proposed models of care
and payment structures: (a) a move toward value-based purchasing of health
services; (b) increased coordination of health, social services, and prevention;
and (c) better integration of physical and
behavioral health services. “e proposed models can potentially have a positive e#ect on the health outcomes
of vulnerable populations while reducing the cost of services delivered to this
population.
For example, the ACA encourages state Medicaid programs to develop
medical homes, known as Health Homes, for Medicaid patients with two or
more chronic conditions or patients who have one serious and persistent mental
health condition. “e CMS issued speci!c elements that need to be included as
part of a Health Home. “ese elements include comprehensive care management; intensive care transition services for patients moving out of acute care
services (such as hospitals, home-based care, and outpatient facilities); care
coordination among physical health, behavioral health, and social and community services (such as supportive housing); and individual and family support to
patients.
“rough better coordination of services through primary care, specialty and
hospital care, behavioral health, social service support, and stronger patient monitoring, Health Homes could improve health outcomes and reduce unnecessary
care. One study estimated that the U.S. health system would save approximately
$175 billion over 10 years if primary care providers shifted to this coordinated
system of care (“e Lewin Group, 2009).
“e ACA has also prompted a move away from the traditional FFS model to
payment models that would align reimbursement and incentives to the value of
care provided and hold providers accountable for health outcomes. “is move
toward value-based purchasing of services is central to a major Medicare demonstration supported by the ACA: accountable care organizations (ACOs).
ACOs are groups of doctors, hospitals, and other health care providers who
come together voluntarily to give coordinated, high-quality care to their Medicare patients (Bachrach, Bernstein, & Karl, 2012). As de!ned by the ACA, ACOs
must manage the health care needs of a minimum of 5,000 Medicare bene!ciaries
for at least three years. “e goal of an ACO is to ensure that patients, especially
the chronically ill, get the right care at the right time, while avoiding unnecessary duplication of services and preventing medical errors. “is approach to care
should lead to reductions in the total cost of care for the assigned population
of patients. Providers participating in an ACO will share accrued savings with
Medicare. In the end, providers get paid more for keeping their patients healthy
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Chapter 8. Vulnerable Populations 217
and out of the hospital—as opposed to getting paid more only for providing more
services. If an ACO is unable to save money, it can potentially be at risk for losing
money associated with the costs of investments made to improve care, or it may
have to pay a penalty if it does not meet performance and savings benchmarks.
Additional payment reform e!orts enacted by the ACA include bundled payment demonstration programs and reduced payments for potentially preventable
readmissions and complications. “e common goal of all of these e!orts is to
improve the quality of care and rein in cost of health care, with a special focus on
vulnerable populations.
Limitations of the ACA
“rough the ACA, it is up to each individual state to expand eligibility for Medicaid. As of January 16, 2018, 18 states have rejected the Medicaid expansion
(Henry J. Kaiser Family Foundation, 2018). As a result, an estimated 4.8 million
uninsured adults in 2016 were estimated to fall in a coverage gap, where they
did not earn enough to qualify for Medicaid but did not make enough money to
qualify for federal subsidies to help them buy into the health exchanges (Buettgens & Kenney, 2016). People of color are disproportionality a!ected by a lack
of Medicaid expansion, as they make up more than half of those who are in the
coverage gap, including an estimated 1.2 million African Americans (Buettgens
& Kenney, 2016). “is is in part because the states where Medicaid expansion
was not passed are also states where there is a high proportion of people of color
(Gar$eld, Damico, Stephens, & Rouhani, 2014). Texas, Florida, and Georgia
account for more than 50% of people who would be eligible for Medicaid if it
were expanded (Kantarjian, 2017). In addition to the gap in coverage, there are
many low-income people who quali$ed for ACA subsidies but did not enroll in
the Marketplace because of high premium costs.
“e ACA speci$cally excludes undocumented immigrants and their families from its provisions, leaving out the approximately 11 million undocumented
immigrants who reside in the United States. “ese same individuals and families
are likely to live in poverty, experience language and cultural barriers to accessing
health care services, and have higher risk factors for chronic conditions.
As a result of these ACA limitations, the safety-net hospitals that provide care
to vulnerable populations will experience a signi$cant burden. “is is especially
troubling in the states with high concentrations of undocumented immigrants
and a higher proportion of people who remain ineligible for insurance. Under
the ACA, a reduction is scheduled in payments to disproportionate share hospitals, which have helped to absorb the e!ects of providing uncompensated care.
“is reduction will add to the strain on the resources of these institutions (Davis,
2012).
Another important limitation of the ACA that will a!ect the health and
well-being of vulnerable populations is its narrow focus on the traditional
health care system. Although the law sets in motion delivery system and payment transformations that will help to bridge traditional health care institutions
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218 Part II. Keeping Americans Healthy
with agencies, programs, and services that address some of the key drivers of
poor health (such as housing and behavioral health services), it falls short of
making the necessary investments in the social service sector that will help vulnerable populations get on—and stay on—the path to a healthy life. !e United
States is one of only three industrialized countries to spend most of its health
and social services budget on health care itself (Bradley & Taylor, 2013). For
every dollar the United States spends on health care, an additional 90 cents is
spent on social services. In peer countries, for every dollar spent on health care,
an additional $2 is spent on social services. Researchers who looked at spending across health care relative to social services found that countries with high
health care spending compared with social spending had lower life expectancy
and higher infant mortality rate than countries that favored social spending.
European countries that have made greater investments in social services relative to health have experienced leaps in life expectancy (well over 80 years) and
infant mortality rates that are half those in the United States. Most medical providers concur with this logic. In a Robert Wood Johnson Foundation–funded
national survey, four out of “ve physicians agreed that unmet social needs lead
directly to worse health.
If the United States is to make a dent in improving the health outcomes of
vulnerable populations, we must go beyond shifting dollars from one part of the
health care system to another. Rather, we must make a transformative shift in
where the investments are made—and accept that subpar social conditions have
a direct consequence on health. As Bradley and Taylor state:
Homelessness isn’t typically thought of as a medical problem, but it often precludes
good nutrition, personal hygiene, and basic “rst aid, and it increases the risks of
frostbite, leg ulcers, upper respiratory infections, and trauma from muggings, beatings, and rape. (Bradley & Taylor, 2013)
A program in Boston that tracked the medical expenses of 119 chronically homeless people found that, in a “ve-year period, these individuals accounted for
18,834 emergency department visits estimated to cost more than $12 million.
Challenges of Health Care Reform and Threats to the ACA
At this time, health care reform is largely debated issue. !ere is heated political debate over whether health care is a right or is a privilege, which individuals
should be eligible for care, and how health care can be improved. President Trump
has used a series of executive orders to alter aspects of the ACA (Adamcyzk,
2017; Sanger-Katz, 2017). !ere have been several attempts in Congress to dismantle the ACA, including the American Health Care Act of 2017, which would
put 23 million people at risk of losing their insurance, but so far these orders have
not passed in Congress (Pearl, 2017). In October 2017, the DHHS announced it
would no longer make payments after President Trump’s decision to stop making
payments to insurance companies that subsidize care for low-income members
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Chapter 8. Vulnerable Populations 219
(Alonso-Zaldivar, 2017; Sanger-Katz, 2017). !is cut impacts insurers’ decisions
about future pricing and coverage, which further a”ects low-income members
ability to a”ord insurance if cost goes up.
CONCLUSION
Populations adversely impacted by health
inequities are at greatest risk of poor physical, behavioral, and social health. !ey have
high rates of disease burden and mortality.
When receiving care, people who are poor,
people of color, and people who have faced
historical oppression have the hardest time
accessing timely, high-quality health care
and, when receiving care, are more likely to
have worse health outcomes than the general population. Despite an extensive body of literature and myriad federal e”orts
to eliminate these inequities in health and health care between vulnerable groups
and the general population, the United States has barely made progress.
To some extent, the topic of eliminating disparities has been diluted and overused. It is almost as though the topic of health disparities has become an accepted
part of our health literary repertoire. But this issue contains an underlying, explosive problem: !e prevalence of vulnerable populations is increasing; if we fail to
institute policies and programs to improve the health of vulnerable populations,
little will be done to contain the cost of care in the United States. We will continue
to spend more on health but have signi#cantly poorer health status compared
with other industrialized countries.
In this chapter, we have o”ered an integrated framework that sets examines
how health inequities disproportionately a”ect certain groups due to social and
economic contexts. As opposed to examining the health of discrete subgroups
of people disproportionately impacted by health inequities, which are not
mutually exclusive, the chapter provided a general overview of the predisposing and enabling factors that lead to vulnerability. !e approach re$ects the
co-occurrence of risk factors
and helps to explain why existing approaches to
meet the health needs of this population will continue to fall short. !ough
well intended, current policies and programs are a patchwork of categorical,
fragmented, and uncoordinated attempts that cost a lot of money.
Health inequities are primarily a social issue created through social forces.
It will be addressed adequately only through broader social, communitywide
investments. A shift to community-oriented policies and programs that address
the social origins of vulnerability can lead to greater improvements in health
outcomes. !ese programs and policies should aim to produce networks of
collaboration and integration—rather than wedges of bureaucratic division—
across medical care, public health, social and economic solutions, and policies
The prevalence of vulnerable
populations is increasing; if
we fail to institute policies and
programs to improve the health
of vulnerable populations, little
will be done to contain the cost
of care in the United States.
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220 Part II. Keeping Americans Healthy
CASE EXERCISE 8.3—PLAN FOR REFUGEES
The commissioner of health in a large, mostly urban county has secured your services as a
consultant to identify strategies to meet the needs of the growing refugee population legally
settling in her region. A refugee is a person who has !ed from his or her home country and
cannot return because of a well-founded fear of persecution based on religion, race, nationality, political opinion, or membership in a particular social group. The commissioner of health
has at her disposal both federal and state resources and good relationships with colleagues
from other county agencies, such as planning, transportation, education, aging, and so on.
As a consultant, you have been asked to propose a coordinated plan to use existing
resources and relationships to better serve the needs of the growing refugee population. When
considering your plan, be sure to address the following questions:
1. What type of information would you collect, and how would you use it?
2. Whom else would you engage in developing a plan?
3. How will you ensure that the refugee population has access to existing and new services?
4. Explain how your plan will meet the immediate and long-term needs of this group as part
of an improved system of health care and social services.
t
DISCUSSION QUESTIONS
1. How have shifting demographics, the rise in prevalence of chronic conditions, and
the strained social service sector contributed to the growing number of vulnerable
populations?
2. A wide array of medical and social services exists to help meet the complex needs of vulnerable populations; however, the United States has been unable to curb health care costs
or improve health outcomes for this segment of the population. What are some of the
underlying problems with the current approach to services for vulnerable populations?
3. How does the current payment system fall short in meeting the needs of vulnerable
populations?
4. Review the limitations for meeting the needs of vulnerable populations in the ACA
provisions. Propose ways in which you would address these limitations using (a) new
policies, (b) existing policies and structures, and (c) innovative ideas (such as public/
private partnerships).
that permanently !x the risks and consequences of vulnerability. Investing time,
energy, and resources in improving the health of vulnerable populations as a
national priority is more than a social and moral imperative—it is an economic
one. “e human and !nancial costs of this problem weigh heavily on the future
of the United States to continue as a beacon of justice and equality and a global
!nancial leader. Who are considered vulnerable populations, and what does this
tell us about the nature of the problems that predispose and enable vulnerability
in the United States?
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Chapter 8. Vulnerable Populations 221
REFERENCES
Adamcyzk, A. (2017, January 21). What Trump’s Obamacare executive order means. Time.
Retrieved from http://time.com/money/4642125/trump-obamacare-executive-orde
Adashi, E. Y., Geiger, J. H., & Fine, M. D. (2010). Health care reform and primary care—!e
growing importance of the Community Health Center.
New England Journal of Medicine, 362, 2047–2050. doi:10.1056/NEJMp1003729
Aday, L. (2001).
At risk in America: !e health and health care needs of vulnerable populations in the United States (2nd ed.). San Francisco, CA: Jossey-Bass.
Agency for Healthcare Research and Quality. (2014).
Care coordination, quality improvement (structured abstract). Rockville, MD: Author.
Allard, S. W., & Roth, B. (2010).
Strained suburbs: !e social service challenges of rising suburban poverty. Metropolitan opportunity series (Vol. 7). Washington, DC: !e Brookings
Institution Metropolitan Policy Program. Retrieved from http://www.brookings.edu/
research/reports/2010/10/07-suburban-poverty-allard-roth
Alonso-Zaldivar, R. (2017, October 12). Trump plans to “immediately” stop ACA payments
to insurers.
Associated Press. Retrieved from https://www.pbs.org/newshour/politics/
trump-plans-stop-aca-payments-insurers
American Psychological Association. (2016).
Stress in America: !e impact of discrimination. Retrieved from https://www.apa.org/news/press/releases/stress/2015/impact-of
-discrimination.pdf
Andersen, R. M. (1995). Revisiting the behavioral model and access to medical care: Does it
matter?
Journal of Health and Social Behavior, 36(1), 1–10.
Association of State and Territorial Health O”cials. (2010). MCH technical assistance SNAP
& WIC side-by-side comparison. Retrieved from http://www.astho.org/Programs/
Access/Maternal-and-Child-Health/Technical-Assistance/Materials/SNAP-and-WIC
-Side-by-Side-Comparison
Bachrach, D., Bernstein, W., & Karl, A. (2012).
High-performance health care for vulnerable populations: A policy framework for promoting accountable care in Medicaid (M.
Hostetter, Ed.). New York, NY: !e Commonwealth Fund. Retrieved from https://
www.commonwealthfund.org/sites/default/#les/documents/___media_#les_publications_fund_report_2012_nov_1646_bachrach_high_performance_hlt_care_vulnerable_populations_medicaid_aco_v2.pdf
Bauer, U. E., Briss, P. A., Goodman, R. A., & Bowman, B. A. (2014). Prevention of chronic
disease in the 21st century: Elimination of the leading preventable causes of premature death and disability in the USA.
Lancet, 384(9937), 45–52. doi:10.1016/S0140-
6736(14)60648-6
Bradley, E. H., & Taylor, L. (2013).
!e American health care paradox: Why spending more is
getting us less
. New York, NY: PublicA$airs Books.
Braveman P., Arkin, E., Orleans, T., Proctor, D., & Plough, A. (2017).
What is health equity? And
what di”erence does a de#nition make?
Princeton, NJ: Robert Wood Johnson Foundation.
Braveman, P., Kumanyika, S., Fielding, J., LaVeist, T., Borrell, L. N., Manderscheid, R., &
Troutman, A. (2011). Health disparities and health equity: !e issue is justice.
American
Journal of Public Health
, 101(S1), S149–S155.
Brody, G. H., Yu, T., Miller, G. E., & Chen, E. (2015). Discrimination, racial identity, and
cytokine levels among African-American adolescents.
Journal of Adolescent Health,
56(5), 496–501.
Buettgens, M., & Kenney, G. (2016). What if more states expanded Medicaid in 2017?
Changes in eligibility, enrollment, and the uninsured. Retrieved from http://www.rwjf
.org/content/dam/farm/reports/issue_briefs/2016/rwjf430492
Center for Advancing Health. (2010).
A new de#nition of patient engagement: What is it,
and why is it important?
Washington, DC: Author. Retrieved from http://www.cfah
.org/#le/CFAH_Engagement_Behavior_Framework_current.pdf
EBSCOhost – printed on 3/11/2021 10:33 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
222 Part II. Keeping Americans Healthy
Center on Budget and Policy Priorities. (2018). Chart book: SNAP helps struggling families
put food on the table. Retrieved from https://www.cbpp.org/research/food-assistance/
chart-book-snap-helps-struggling-families-put-food-on-the-table.
Centers for Medicare and Medicaid Services. (2016). Medicare enrollment/trends. Retrieved
from https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trendsand-Reports/CMS-Statistics-Reference-Booklet/Downloads/2016_CMS_Stats.pdf
Centers for Medicare and Medicaid Services. (2018a). Fast facts. Retrieved from https://
www.cms.gov/fastfacts
Centers for Medicare and Medicaid Services. (2018b). National Health Expenditure Projections 2017–2026. Retrieved from https://www.cms.gov/Research-Statistics-Dataand-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/Downloads/
ForecastSummary.pdf
Centers for Medicare and Medicaid Services (2018c). People enrolled in Medicare and Medicaid. Medicare-Medicaid Coordination O!ce Fact Sheet. Retrieved from https://www
.cms.gov/Medicare-Medicaid-Coordination/Medicare-and-Medicaid-Coordination/
Medicare-Medicaid-Coordination-O!ce/Downloads/MMCO_Factsheet.pdf
Commission on Social Determinants of Health. (2008). Closing the gap in a generation: Health
equity through action on the social determinants of health.
Final Report of the Commission on Social Determinants of Health. Geneva, Switzerland: World Health Organization.
Creswell, J. (2013, December 25). ER costs for mentally ill soar, and hospitals seek better way.
New York Times. Retrieved from http://www.nytimes.com/2013/12/26/health/er-costs
-for-mentally-ill-soar-and-hospitals-seek-better-way.html?_r = 0
Cubanski, J., Neuman, T., Damico, A., & Smith, K. (2018). Medicare bene”ciaries’ out-ofpocket health care spending as a share of income now and projections for the future.
Henry J. Kaiser Family Foundation. Retrieved from https://www.k#.org/medicare/
report/medicare-beneficiaries-out-of-pocket-health-care-spending-as-a-share-of
-income-now-and-projections-for-the-future
Cu#ee, Y. L., Hargraves, J. L., & Allison, J. (2012). Exploring the association between reported
discrimination and hypertension among African Americans: A systematic review.
Ethnicity & Disease, 22(4), 422–431.
Cunningham, P., Rudowitz, R., Young, Y., Gar”eld, R., & Foutz, J. (2016). Understanding
Medicaid hospital payments and the impact of recent policy changes. Henry J. Kaiser
Family Foundation. Retrieved from https://www.k#.org/report-section/understanding
-medicaid-hospital-payments-and-the-impact-of-recent-policy-changes-issue-brief
Cutter, S. L., & Emrich, C. T. (2006). Moral hazard, social catastrophe: $e changing face of
vulnerability along the hurricane coasts.
Annals of the American Academy of Political
and Social Science
, 604(1), 102–112.
Daponte, B. O., & Bade, S. (2006). How the private food assistance network evolved: Interactions between public and private responses to hunger.
Nonpro!t and Voluntary Sector
Quarterly
, 35(4), 668–690.
Davis, C. (2012).
Q & A: Disproportionate share hospital payments and the Medicaid expansion. Washington, DC: National Health Law Program. Retrieved from http://www
.healthlaw.org/publications/qa-disproportionate-share-hospital-payments-and-the
-medicaid-expansion#.VMEVw_nF8yQ
Dean, S., Rosenbaum, D., & Foley, A. (2013). SNAP bene”ts will be cut for nearly all participants in November 2013. Center on budget and policy priorities. Retrieved from http://
www.cbpp.org/cms/?fa=view&id=3899
Devi, S. (2011). Native American health le% out in the cold.
Lancet, 377(9776), 1481–1482.
doi:10.1016/S0140-6736(11)60586-2
DeVol, R., Bedroussian, A., Charuworn, A., Chatterjee, A., Kim, I. K., Kim, S., & Klowden,
K. (2007).
An unhealthy America: “e economic burden of chronic disease. Santa
EBSCOhost – printed on 3/11/2021 10:33 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 8. Vulnerable Populations 223
Monica, CA: Milken Institute. Retrieved from http://assets1b.milkeninstitute.org/assets/
Publication/ResearchReport/PDF/chronic_disease_report.pdf
Diez-Roux, A. V. (2003). Residential environments and cardiovascular risk.
Journal of Urban
Health
, 80(4), 569–589.
Do, D. P. (2009). !e dynamics of income and neighborhood context for population health:
Do long-term measures of socioeconomic status explain more of the Black/White
health disparity than single-point-in-time measures?
Social Science and Medicine, 68(8),
1368–1375.
Findley, S., Matos, S., Hicks, A., Chang, J., & Reich, D. (2014). Community health worker
integration into the healthcare team accomplishes the Triple Aim in a patient-centered
medical home: A Bronx tale.
Journal of Ambulatory Care, 37(1), 82–91. Retrieved from
http://chwcentral.org/sites/default/files/Community_Health_Worker_Integration_
Into_the.10.pdf
FRED—Federal Reserve Economic Data. (2018). Retrieved from https://fred.stlouisfed.org
Fontenot, T., & Stubble”eld, A. G. (2011). Caring for vulnerable populations. American
Hospital Association 2011 Committee on Research. Retrieved from http://www.aha.
org/research/cor/caring/index.shtml
Federal Reserve Bank of St. Louis and U.S. O#ce of Management and Budget. (2018). Real
Median Household Income in the United States [MEHOINUSA672N]. Retrieved from
FRED, https://fred.stlouisfed.org/series/MEHOINUSA672N
Galewitz, P. (2012, June 6). Migrant health clinics caught in cross”re of immigration debate.
Kaiser Health News. Retrieved from http://www.kaiserhealthnews.org/stories/2012/
june/07/migrant-health-clinics-immigration-debate.aspx
Gar”eld, R., Damico, A., Stephens, J., & Rouhani, S. (2014). !e coverage gap: Uninsured
poor adults in states that do not expand Medicaid—An update. Menlo Park, CA: Kaiser Family Foundation. Retrieved from http://www.nasuad.org/sites/nasuad/”les/the
-coverage-gap-uninsured-poor-adults-in-states-that-do-not-expand-medicaid-issue
-brief.pdf
Garr, E. (2011).
!e landscape of repression: Unemployment and safety net services across
urban and suburban America
. Metropolitan opportunity series: Vol. 12. Retrieved from
http://www.brookings.edu/research/papers/2011/03/31-recession-garr
Gawande, A. (2011, January 24). !e hot spotters: Can we lower medical costs by giving the
neediest patients better care?
!e New Yorker. Retrieved from http://www.newyorker
.com/reporting/2011/01/24/110124fa_fact_gawande?currentPage = 3
Gourevitch, M. N., Malaspina, D., Weitzman, M., & Goldfrank, L. (2008). !e public hospital
in American medical education.
Journal of Urban Health, 85(5), 779–786. doi:10.1007/
s11524-008-9297-4
Grusky, D. B., Western, B., & Wimer, C. (Eds.). (2011).
!e great recession. New York, NY:
Russell Sage Foundation.
Hamilton, D., Darity, S., Price, A., Sridharan, V. & Tippett, R. (2015).
Umbrellas don’t make
it rain: Why studying and working hard isn’t enough for black Americans
. Chapel Hill,
NC: Duke Center on Social Equity, Duke University. Retrieved from https://socialequity.duke.edu/research/wealth
Hawkins, D., & Groves, D. (2011). !e future role of community health centers in a
changing health care landscape.
Journal of Ambulatory Care Management, 34(1),
90–99. Retrieved from http://www.nachc.org/client/documents/!e_Future_Role_of_
Community_Health_Centers_in_a.11.pdfhttp://www.nachc.org/client/documents/
!e_Future_Role_of_Community_Health_Centers_in_a.11.pdf
Heiman, H. J., & Artiga, S. (2015). Beyond health care: !e role of social determinants in
promoting health and health equity.
Health, 20(10), 1–10.
Henry J. Kaiser Family Foundation. (2011). A$ordable Care Act Provisions Relating to the
Care of Dually Eligible Medicare and Medicaid Bene”ciaries. Focus on Health Reform.
Retrieved from https://kaiserfamilyfoundation.”les.wordpress.com/2013/01/8192.pdf
EBSCOhost – printed on 3/11/2021 10:33 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
224 Part II. Keeping Americans Healthy
Henry J. Kaiser Family Foundation. (2013). !e Ryan White AIDS program. Retrieved from
http://k”.org/hivaids/fact-sheet/the-ryan-white-program
Henry J. Kaiser Family Foundation. (2018). Status of state action on the Medicaid expansion decision. Retrieved from https://www.k”.org/health-reform/state-indicator/state
-activity-around-expanding-medicaid-under-the-a”ordable-care-act/?currentTimefra
me=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D
Henry J. Kaiser Family Foundation. (n.d.,-a) Total Medicaid spending: FY 2016. Retrieved
from https://www.k”.org/medicaid/state-indicator/total-medicaid-spending/?current
Timeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%
22%7D#
Henry J. Kaiser Family Foundation. (n.d.,-c) Total number of Medicare bene#ciaries.
Retrieved from https://www.k”.org/medicare/state-indicator/total-medicare-bene#cia
ries/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort
%22:%22asc%22%7D
Hobfoll, S. E. (2001). !e in$uence of culture, community, and the nested-self in the stress
process: Advancing conservation of resources theory.
Applied Psychology: An International Review, 50(3), 337–421.
Hobfoll, S. E. (2012). Conservation applied psychology: An international review, of resources
and disaster in cultural context: !e caravans and passageways for resources.
Psychiatry,
75(3), 227–232.
Hsia, R. Y., Sarkar, N., & Shen, Y. (2017). Impact of ambulance diversion: Black patients with
acute myocardial infarction had higher mortality than whites.
Health A!airs, 36(6),
1070–1077.
Kantarjian, H. M. (2017). !e A”ordable Care Act, or Obamacare, 3 years later: A reality
check.
Cancer, 123(1), 25–28.
Kent, G. (2006). WIC’s promotion of infant formula in the United States.
International
Breastfeeding Journal
, 1(8). doi:10.1186/1746-4358-1-8
Kiel, P. & Nguyen, D. (2018). [Insert article title.]
ProPublica. Retrieved from http://projects
.propublica.org/bailout
Knickman, J. K., & Snell, E. K. (2002). !e 2030 problem: Caring for aging baby boomers.
Health Services Research, 37(4), 849–884. doi:10.1034/j.1600-0560.2002.56.x
Lang, I. A., Hubbard, R., Andrew, M. K., Llewellyn, D. J., Melzer, D., & Rockwood, K. (2009).
Neighborhood deprivation, individual socioeconomic status, and frailty in older adults.
Journal of the American Geriatrics Society, 57(10), 1776–1780. doi:10.1111/j.1532
-5415.2009.02480.x
!e Lewin Group. (2009).
“e path to a high performance U.S. health system: Technical
documentation
. Washington, DC: Author.
Manahan, B. (2011). !e whole systems medicine of tomorrow: A half-century perspective.
Explore: “e Journal of Science and Healing, 7(4), 212–214.
Martinez Garcel, J. (2012). Casting an A-team to deliver results: Embedding and sustaining the role of community health workers in medical homes.
Medical Home News,
4(2), 6–7.
Mathur, A. K., Ashby, V. B., Sands, R. L., & Wolfe, R. A. (2010). Geographic variation in
end-stage renal disease incidence and access to deceased donor kidney transplantation.
American Journal of Transplantation, 10(4 Pt 2), 1069–1080.
McGinnis, J., Russo, P. W., & Knickman, J. K. (2002). !e case for more active policy attention to health promotion.
Health A!airs, 21(2), 78–93. doi:10.1377/hltha”.21.2.78
McLeod, J. D., & Kessler, R. C. (1990). Socioeconomic status and di”erences in vulnerability
to undesirable life events.
Journal of Health and Social Behavior, 31, 162–172. Retrieved
from http://www.ncbi.nlm.nih.gov/pubmed/2102495
McMorrow, S., Kenney, G. M., Long, S. K., & Anderson, N. (2015). Uninsurance among
young adults continues to decline, particularly in Medicaid expansion states.
Health
A!airs
, 34(4), 616.
EBSCOhost – printed on 3/11/2021 10:33 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 8. Vulnerable Populations 225
Mitchell, A. (2013). Medicaid disproportionate hospital share payments. Congressional
Research Service report. Washington, DC: Government Printing O!ce. Retrieved from
https://www.fas.org/sgp/crs/misc/R42865.pdf
Moscovice, I., Gregg, W., & Lewerenz, E. (2003).
Rural health networks: Evolving organizational forms and functions. Minneapolis, MN: University of Minnesota School of Public
Health Rural Health Research Center. Retrieved from http://rhrc.umn.edu/wp-content/
“les_mf/formsandfunctions2.pdf
National Center for Farmworker Health. (n.d.). Migrant health center legislation. Retrieved
from http://www.nc#.org/?pid = 186
National Center for Health in Public Housing. (2012). Public housing primary care program.
Retrieved from http://www.nchph.org/wp-content/uploads/2013/11/NCHPH-PHPC1
.pdf
National Health Care for the Homeless Council. (2008). $e basics of homelessness.
Retrieved from http://www.nhchc.org/resources/general-information/fact-sheets
National Health Interview Survey. (2015). Long-term trends in health insurance coverage.
Retrieved from https://www.cdc.gov/nchs/data/nhis/earlyrelease/trendshealthinsurance1968_2015.pdf
National Public Radio/Robert Wood Johnson Foundation/Harvard T. H. Chan School
of Public Health. (2017). Discrimination in America: Experiences and views of African Americans. Retrieved from https://cdn1.sph.harvard.edu/wp-content/uploads/
sites/21/2017/10/NPR-RWJF-HSPH-Discrimination-African-Americans-Final
-Report.pdf
Paradise, J., Rosenbaum, S., Markus, A., Sharac, J., Tran, C., Reynolds, D., & Shin, P. (2017).
Community Health Centers: Recent role of the ACA. $e Henry J. Kaiser Family Foundation. Retrieved from https://www.k%.org/report-section/community-health-centers
-recent-growth-and-the-role-of-the-aca-issue-brief
Partnership for Solutions. (2004).
Chronic conditions: Making the case for ongoing care, September 2004 update. Baltimore, MD: Johns Hopkins University. Retrieved from http://
www.partnershipforsolutions.org/DMS/”les/chronicbook2004.pdf
Pastor, M., Scoggins, J., & Treuha&, S. (2017). Bridging the racial generation gap is key to
America’s economic future. Retrieved from http://nationalequityatlas.org/sites/default/
“les/RacialGenGap_%20″nal.pdf
Patzer, R. E., & McClellan, W. M. (2012). In’uence of race, ethnicity, and socioeconomic
status on kidney disease.
Nature Reviews Nephrology, 8(9), 533–541.
Pearl, R. (2017, December 18). $e 3 biggest healthcare stories of 2017.
Forbes. Retrieved
from https://www.forbes.com/sites/robertpearl/2017/12/18/the-3-biggest-healthcare
-stories-of-2017/#323ba15653e4
Prins, S. J. (2011). Does transinstitutionalization explain the overrepresentation of people
with serious mental illnesses in the criminal justice system?
Community Mental Health
Journal, 47
(6), 716–722. doi:10.1007/s10597-011-9420-y
Purtell, K. M., Gersho%, E. T., & Aber, J. L. (2012). Low income families’ utilization of the
federal “safety net”: Individual and state-level predictors of TANF and food stamp receipt.
Children in Youth Services Review, 34(4), 713–724. doi:10.1016/j.childyouth.2011.12.016
Robertson, B., & Ramiah, K. (2017). Essential data: Our hospitals, our patients—Results
of America’s essential hospitals 2015 annual member characteristics survey.
Essential
Hospitals
. Retrieved from https://essentialhospitals.org/wp-content/uploads/2017/06/
AEH_VitalData_2017_Spreads_NoBleedCropMarks.pdf
Saez, E., & Zucman, G. (2016). Wealth inequality in the United States since 1913: Evidence
from capitalized income tax data.
Quarterly Journal of Economics, 131(2), 519–578.
doi:10.1093/qje/qjw004
Sanger-Katz, M. (2017, October 12). What we know about Trump’s twin blows to Obama
care.
!e New York Times. Retrieved from https://www.nytimes.com/2017/10/12/upshot/
EBSCOhost – printed on 3/11/2021 10:33 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
226 Part II. Keeping Americans Healthy
what-did-trumps-health-care-executive-order-do.htmlhttps://www.nytimes
.com/2017/10/12/upshot/what-did-trumps-health-care-executive-order-do.html
Schpero, W. L., Morden, N. E., Sequist, T. D., Rosenthal, M. B., Gottlieb, D. J., & Colla, C. H.
(2017). For selected services, blacks and Hispanics more likely to receive low-value care
than whites.
Health A!airs, 36(6), 1065–1069.
Shi, L., & Stevens, G.D. (2005). Vulnerability and unmet health needs: !e in”uence of
multiple risk factors.
Journal of General Internal Medicine, 20(2), 148–154. doi:10.1111/
j.1525-1497.2005.40136.x
Shi, L., & Stevens, G. (2010).
Vulnerable populations in the United States (2nd ed.). San
Francisco, CA: Jossey-Bass Rethinking vulnerable populations in the United States: An
introduction to a general model of vulnerability.
Shi, L., Stevens, G. D., Faed, P., & Tsai, J. (2008). Rethinking vulnerable populations in the
United States: An introduction to a general model of vulnerability.
Harvard Health
Policy Review
, 9(1), 43–48.
Sommers, B. D., Blendon, R. J., Orav, E. J., & Epstein, A. M. (2016). Changes in utilization
and health among low-income adults a#er Medicaid expansion or expanded private
insurance.
Journal of the American Medical Association Internal Medicine, 176(10),
1501–1509. doi:10.1001/jamainternmed.2016.4419
Stern, M. J., & Axinn, J. (2018).
Social welfare: A history of the American response to need (9th
ed.). Merrill Social Work and Human Services Series. New York, NY: Pearson.
Stone, C., Trisi, D., Sherman, A., & Debot, B. (2015). A guide to statistics on historical trends
in income inequality.
Center on Budget and Policy Priorities, 26. Retrieved from https://
www.cbpp.org/research/poverty-and-inequality/a-guide-to-statistics-on-historical
-trends-on-income-inequality
Unite for Sight. (n.d.). Module 2: A brief history of mental illness and the U.S. mental health
care system. Retrieved from http://www.uniteforsight.org/mental-health/module2
U.S. Census Bureau. (2017). Historical poverty tables: People and families—1959 to 2016.
Data. Retrieved from https://www.census.gov/data/tables/time-series/demo/income
-poverty/historical-poverty-people.html
U.S. Department of Agriculture, Food and Nutrition Service. (n.d.). Food and Nutrition Service (FNS) programs and services. Retrieved from http://www.fns.usda.gov/programs
-and-services
U.S. Department of Agriculture, Food and Nutrition Service. (2018). Supplemental Nutrition Assistance Program participation and costs, 1969–2017. Retrieved from https://
www.fns.usda. gov/pd/supplemental-nutrition-assistance-program-snap
U.S. Department of Health and Human Services, Health Resources and Services Administration. (n.d.). HIV/AIDS programs: Legislation. Retrieved from http://hab.hrsa.gov/
abouthab/legislation.html
U.S. Department of Health and Human Services, Indian Health Services. (2018). Indian
Health Services Pro$le. Retrieved from https://www.ihs.gov/newsroom/factsheets/
ihspro$le/
U.S. Department of Health and Human Services, O%ce of Rural Health Policy. (2006).
Comparison of the rural health clinic and federally quali”ed health center programs. Washington, DC: U.S. Government Printing O%ce. Retrieved from http://www.hrsa.gov/
ruralhealth/policy/confcall/comparisonguide.pdf
U.S. Department of Housing and Urban Development. (n.d.). HUD historical background.
Retrieved from http://www.hud.gov/o%ces/adm/about/admguide/history.cfm
U.S. Social Security Administration. (n.d.). SSI federal payment amounts for 2014. Retrieved
from http://www.ssa.gov/OACT/cola/SSI.html
Volkmann, K., & Castanares, T. (2011). Clinical community health workers: Linchpin of the
medical home.
Journal of Ambulatory Care Management, 34(3), 221–233.
EBSCOhost – printed on 3/11/2021 10:33 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 8. Vulnerable Populations 227
“Vulnerable”. (n.d.). Merriam-Webster online. Retrieved from http://www.merriam-webster
.com/dictionary/vulnerable
Ward, B. W., Schiller, J. S., & Goodman, R. A. (2014). Peer reviewed: Multiple chronic
conditions among U.S. adults: A 2012 update.
Preventing Chronic Disease, 11, E62.
doi:10.5888/pcd11.130389
Washington, D. L., Steers, W. N., Huynh, A. K., Frayne, S. M., Uchendu, U. S., Riopelle,
D., . . . & Hoggatt, K. J. (2017). Racial and ethnic disparities persist at Veterans Health
Administration patient-centered medical homes.
Health A!airs, 36(6), 1086–1094.
Weisman, J. (2014, December 19). U.S. declares bank and auto bailouts over, and pro!table.
New York Times. Retrieved from https://www.nytimes.com/2014/12/20/business/
us-signals-end-of-bailouts-of-automakers-and-wall-street.html?_r=0
Williams, D. R. (2012). Miles to go before we sleep: Racial inequities in health.
Journal of
Health and Social Behavior
, 53(3), 279–295.
Williams, D. R., Priest, N., & Anderson, N. B. (2016). Understanding associations among
race, socioeconomic status, and health: Patterns and prospects.
Health Psychology,
35(4), 407–411. doi:10.1037/hea0000242
Willms, D. (1999).
Inequalities in literacy skills among youth in Canada and the United States.
Ottawa, ON, Canada: Minister of Industry.
Witgert, K., & Hess, C. (2012).
Including safety-net providers in integrated delivery systems:
Issues and options for policymakers
. National Academy of Health Policy. New York, NY:
“e Commonwealth Fund. Retrieved from http://www.nashp.org/sites/default/!les/
Including.SN_.Providers.in_.IDS_.pdf
World Health Organization. (1948).
Constitution of the World Health Organization. Geneva,
Switzerland: Author.
Wu, S. Y., & Green, A. (2000).
Projection of chronic illness prevalence and cost in”ation. Santa
Monica, CA: RAND corporation. Retrieved from http://www.!ghtchronicdisease.org/sites/
!ghtchronicdisease.org/!les/docs/GrowingCrisisofChronicDiseaseintheUSfactsheet_
81009.pdf
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9
The Health Workforce
Joanne Spetz and Susan A. Chapman
LEARNING OBJECTIVES
Identify who is part of the health workforce
Understand the importance of the entire health workforce in delivering health
care services
Describe the different education paths for the health workforce
Critically assess the reasons for shortages of health care providers
Review new models and new roles of deploying health workers
Assess the effects of health reform on the health workforce
KEY TERMS
health professionals
interprofessional education
labor market
licensure
on-the-job training
scope of practice
TOPICAL OUTLINE
Who is part of the health workforce?
Traditional approaches to health workforce planning
Health workforce education
Critical issues for the health workforce
Building the future health care workforce
© Springer Publishing Company DOI: 10.1891/9780826172730.0009
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

232 Part III. Medical Care: Treating Americans’ Medical Problems
INTRODUCTION
!e health care workforce is essential to the delivery of health care; essentially all
types of health services require the contributions of individual workers. !e health
care workforce includes well-known professionals such as nurses, pharmacists, and dentists; it also includes many other, less obvious
professions that encompass a wide variety of
technicians, therapists, assistants, administrative personnel, and managers. In 2016, there
were approximately 16.4 million jobs in the health care industry in the United
States, and compensation for these jobs accounted for nearly half of total health
care spending—$1.03 billion of the $2.1 billion spent on health care (U.S. Bureau
of Economic Analysis, 2017; U.S. Bureau of Labor Statistics, 2017). !e health
workforce’s central role in all aspects of health care and its signi”cant contribution to total health care costs guarantee that any policies intended to change how
health care is “nanced or delivered will be fundamentally shaped by their interactions with the workforce. !is fact becomes more complex when one recognizes
that the health workforce plays an important role in economic development and
income distribution. Health care jobs often pay well and are stable, and they are
frequently “lled by people living where the health care is provided (Gitterman,
Spetz, & Fellowes, 2004; Zacker, 2011). As health reform reshapes the system of
health care in the United States, we will continue to see major changes in the size,
composition, and practice of health professionals. Such changes will be complicated by the broader role of health care employment in our economy and society.
WHO IS PART OF THE HEALTH WORKFORCE?
!e health workforce includes all health professionals and workers who contribute to the delivery of health care. !e determination of who falls into this de”nition
can involve some debate. Many occupations are consistently classi”ed as within
the health workforce, such as physicians, radiation technologists, dental assistants,
and nurses. Health occupations also include people who do not work in health care
delivery settings but instead provide health services in homes, educational institutions, and other places, such as home care aides, personal care assistants, and school
nurses (Bipartisan Policy Center, 2011; Matherlee, 2003). In 2016, these and related
health care occupations included more than 13.1 million people, accounting for
nearly 1 in 12 workers in the United States (U.S. Bureau of Labor Statistics, 2017).
!e largest health care occupation is registered nurses (RNs), of whom about
2.9 million were employed in 2016 (U.S. Bureau of Labor Statistics, 2017). RNs
work in nearly all health care settings; about 54.4% work in hospitals (Budden,
Moulton, Harper, Brunell, & Smiley, 2016). Personal care aides, of whom there are
about 1.5 million, are the second-largest occupation in health care and primarily
By about 2025, the nation’s
health care sector is expected
to be facing a shortfall of
2.3 million new workers.*
*To hear the podcast, go to https://bcove.video/2zI5NTt or access the ebook on Springer Publishing ConnectTM.
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Chapter 9. The Health Workforce 233
provide services and support in the home. Unlicensed nursing assistants are the
third-largest health care occupation, with about 1.4 million workers employed.
Unlicensed nursing assistants usually work in hospitals and long-term care facilities. About 603,000 certi!ed nursing assistants and 702,400 licensed practical/
vocational nurses work in skilled nursing facilities (U.S. Bureau of Labor Statistics, 2017). About 649,850 physicians were employed in the United States in 2016.
Other large occupations in health care include home health aides, medical
assistants, dental assistants, pharmacy technicians, and emergency medical
technicians/paramedics. “e health care occupations also include licensed alternative and complementary providers, such as chiropractors and acupuncturists.
Table 9.1 presents data on the wide variety of health care practitioner and support
occupations in the United States with jobs in hospitals, outpatient settings, and
long-term care.
“e broadest de!nition of the health workforce includes anyone who works
in a health care occupation or the health care industry, even if that worker is not
directly involved in providing health care services—for example, insurance billing
specialists, facilities managers, accountants, and other occupations. Within the
health care industry, about 3.3 million people are employed in o$ce, administrative, and support occupations, such as secretaries and administrative assistants,
TABLE 9.1 HEALTH CARE OCCUPATIONS IN THE UNITED STATES: 2016

OCCUPATION NUMBER OF WORKERS
Registered nurse 2,857,180
Nursing assistant 1,443,150
Personal care aide 1,492,250
Home health aide 814,300
Licensed practical nurse/vocational nurse 702,400
Physician/surgeon 649,850
Medical assistant 623,560
Pharmacy technician 398,390
Dental assistant 327,290
Pharmacist 305,510
Emergency medical technician/paramedic 244,960
Radiological technologist 200,650
Physical therapist 216,920
Dental hygienist 204,990
Medical records and health information technician 200,140
Medical and clinical laboratory technologist 166,730

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234 Part III. Medical Care: Treating Americans’ Medical Problems
information and records clerks, food preparation and food service workers, custodial services, security, and education and training.
!is chapter focuses on the workforce of more than 16 million people dedicated to delivering medical care services broadly de”ned. In addition, many other
American workers focus on e#orts to promote health among the population.
Workers in public health departments across the country deliver essential social
services that impact people’s health and well-being and other practitioners deliver
alternative health care services. Researchers, advocates, innovators, and others
focus on developing new approaches to delivering health care and keeping people
healthy. All these workforce resources are dedicated to the American health enterprise. Approximately 450,000 people work in public health agencies that focus on a
broad range of activities that prevent poor health at the community level (Sumaya,
2012). It is more di$cult to assess the scope of health promotion work done in
other sectors, but it is clear that many people spend time on activities that a#ect
the health of Americans throughout the private, public, and nonpro”t sectors.
TRADITIONAL APPROACHES TO HEALTH WORKFORCE PLANNING
Approaches to health workforce planning vary across countries. Countries with
national health care systems often closely manage the employment of health professionals, as well as the pipeline of new graduates from education programs. Many
countries, including the United States, do not have a highly centralized health care
system and engage in limited national health workforce planning e#orts. Planning
is left primarily to the private sector and local government agencies.
!e traditional supply-and-demand approach to workforce planning compares the number of working health professionals to estimates of the demand for
health workers. Projections of supply are typically built from data about the current number of workers, the number of new entrants per year, the number leaving the profession per year, and the share that is employed. In some cases, supply
estimates account for other factors that may a#ect supply, such as the loss of
health professionals to international migration. However, supply estimates rarely
can estimate changes in overall supply that might arise due to the development of
new health care occupations.
Projections of demand are usually based on current approaches to providing
health care services. Some demand projections attempt to establish a targeted
number of providers in order to deliver a desired level of services to the population. However, this “ideal” need-based demand may not align with budgetary
realities and thus not match the demand we actually see in the
labor market. For
example, during economic recessions, demand for health workers usually drops
even though demand for health services may remain stable because employers
have less money for hiring. If the amount of money available in the health system
is not su$cient to recruit workers and pay salaries, need-based demand and economic demand will diverge.
Two fundamental shortcomings of workforce planning are that (a) it is usually tied to current care delivery models and (b) it treats each health professional
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Chapter 9. The Health Workforce 235
independently. Innovative approaches to
care delivery and team-based care could
address many reported shortages of health
professionals. For example, a growing body
of research argues that new, integrated primary care delivery models, e!ective use
of information technology, and expanded
roles for nonphysician health professionals
could solve shortages of primary care physicians (Auerbach et al., 2013; Bodenheimer
& Smith, 2013; Green, Savin, & Lu, 2013;
Rosenthal, 2014; U.S. Health Resources and Services Administration [HRSA],
2016; Willard & Bodenheimer, 2012). For example, the patient-centered medical
home (PCMH) model of care (described in more detail below) brings together
teams of physicians, advanced practice clinicians such as nurse practitioners
(NPs), licensed nurses, medical assistants, health coaches, community health
workers, and other professionals. Each worker plays a unique and expanded role,
and this team-based approach can improve patient outcomes and satisfaction
while reducing the demand for physician time (Alexander et al., 2015). But health
workforce planning models are not designed to account for the variety of ways in
which such teams might be structured and how they can shift demand for each
type of professional.
HEALTH WORKFORCE EDUCATION
Educational and training requirements vary signi”cantly across health care occupations: Some health workers enter the “eld without a high school diploma, whereas
others complete many years of postgraduate education. Many occupations, such
as personal care aides and medical secretaries, require little or no formal preparation, and training occurs on the job. In other occupations, such as medical assistants and pharmacy technicians, there is variation in employers’ preferences for
formal education programs versus longer-term,
on-the-job training.
Most technical health care occupations require some formal postsecondary education but not a degree; such occupations include surgical technicians,
licensed practical/vocational nurses, and emergency medical technicians. A large
share of education in these occupations occurs in private vocational schools; for
example, about 82% of medical assistants are trained in private and for-pro”t
schools (U.S. National Center for Education Statistics, 2015). #ese schools often
lack program-speci”c accreditation and standardized curricula. Some technical
professions, such as dental hygienist, respiratory therapist, clinical laboratory
technician, and radiology technician, require at least an associate degree. Registered nursing requires a minimum of an associate degree in most states, but
many RNs complete baccalaureate education before becoming licensed. Finally,
professions such as medicine, pharmacy, physical therapy, and optometry require
postgraduate education, typically at the doctoral level.
A growing body of research
argues that new, integrated
primary care delivery models,
effective use of information
technology, and expanded
roles for nonphysician health
professionals could solve
shortages of primary care
physicians.
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236 Part III. Medical Care: Treating Americans’ Medical Problems
Postsecondary education is available from many institutions: private vocational schools, public adult school programs, community colleges, and public
and private colleges and universities. !e costs of educational programs vary
signi”cantly. Private education is generally much more expensive than public
education; in the 2014–2015 academic year, annual costs for public postsecondary education institutions averaged $16,188, whereas these costs averaged
$37,424 for private institutions (U.S. National Center for Education Statistics,
2016). Although prospective students might prefer to attend public institutions,
these often have many fewer admission spaces than applicants. Health worker
education is relatively expensive to deliver because it often requires the use of
laboratories and clinical sites and involves closely supervised clinical training.
Many public colleges and universities receive a “xed amount of funding per student, regardless of the major “eld of study. !us, these schools face a “nancial
loss if they expand their health professions
programs rather than expanding less-costly
programs. Moreover, because most health
care jobs have relatively high pay, it can be
di#cult for colleges to recruit faculty.
Di$erences in the costs of educational
programs a$ect choices made by students, especially when cost is compared
with expected earnings. For example, the education of a primary care physician
requires 4 years of postgraduate medical school education, followed by 3 or more
years of residency. Preparation for a specialized “eld of medicine requires more
time; for example, a cardiologist must complete 2 or 3 years of postresidency
fellowship after his or her residency. Some research has demonstrated that medical students’ choice of specialty is in%uenced by potential earnings compared
with education debt and that the lower earnings of primary care physicians do
not compare favorably, even though other “elds of medicine require more years
of residency and fellowship training (Bodenheimer, Berenson, & Rudolf, 2007;
Grayson, Newton, & !ompson, 2012; Hauer et al., 2008). Similar patterns have
been reported for dentistry (Nicholson, Vujicic, Wanchek, Ziebert, & Menezes,
2015). !ere also are mismatches between the cost of education and expected
earnings for many lower-skill health occupations. For example, medical assistant
wages averaged $15.17 per hour in 2016 (U.S. Bureau of Labor Statistics, 2017),
yet some medical assistants attend private training programs that charge tuition
and fees of more than $10,000 for a program of less than 1 year (U.S. Department
of Education, 2018).
Interprofessional Education
Health workforce education is traditionally focused on single professions. Physicians attend medical schools, nurses study in nursing schools, and dentists attend
dental schools. !ese siloed education programs rarely o$er opportunities to
Differences in the costs of
educational programs affect
choices made by students,
especially when cost is compared
with expected earnings.
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Chapter 9. The Health Workforce 237
learn together either in the classroom or through clinical experience. Alternative health care professionals, such as chiropractors, are rarely educated alongside physicians or other professionals. However, a growing body of evidence !nds
that
interprofessional education (IPE) and subsequent interprofessional practice, can improve the ability of health care professionals to provide high-quality
patient-centered care (Barr, Koppel, Reeves, Hammick, & Freeth, 2005), including
mental health care (Richards et al., 2013). Although the rapid emergence of initiatives to promulgate IPE seems recent, their roots date back to more than 40 years
ago, when the Institute of Medicine (IOM) published “Educating for the Health
Team” (1972). “e IOM’s second report on this subject, “Health Professions Education: A Bridge to Quality” (Greiner & Knebel, 2003), brought more attention to
the imperative to revamp health workforce training. “e report’s authors argued
that the silo approach to educating health professionals contributes to continuing
problems in the health care system.
Many private foundations, advocacy groups, and educational institutions are
now actively developing and implementing IPE programs to address future health
care needs. “e Interprofessional Education Collaborative—a consortium that
includes national organizations representing educators in allopathic and osteopathic medicine, dentistry, nursing, public health, and pharmacy—has made
speci!c recommendations regarding the competencies required for successful
interprofessional collaborative practice (Interprofessional Education Collaborative, 2011). “e competencies fall under four domains: (a) values and ethics for
interprofessional practice, (b) roles and responsibilities for collaborative practice,
(c) interprofessional communication, and (d) interprofessional teamwork and
team-based care. “e National Center for Interprofessional Practice and Education, established through a cooperative agreement between the federal government and four private foundations, is leading, coordinating, and studying the
advancement of interprofessional collaboration, with a particular focus on the
e#ect of IPE on quality, patient outcomes, and costs.
Innovative Models for Health Workforce Education
Traditionally, health professional students receive didactic instruction in the
classroom setting and develop clinical skills in health care delivery settings such
as hospitals, dental o$ces, and primary care clinics. As health professions programs have expanded, there has been increasing competition for clinical education sites, and some sites have reduced the number of students allowed to train
due to concerns about patient safety, demands for longer orientation periods,
and restrictions on access to electronic health records (Hayden, Smiley, Alexander, Kandong-Edgren, & Je#ries, 2014; Ironside & McNelis, 2009). “e development of increasingly sophisticated patient simulators, including high-!delity
mannequins, has facilitated growing use of simulation-based clinical education
(Hayden et al., 2014) as has recognition that simulation can be used to develop
clinical skills without risk to patients (Ziv, Wolpe, Small, & Glick, 2006). In 2002,
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238 Part III. Medical Care: Treating Americans’ Medical Problems
only 66 nursing programs were known to use patient simulators (Nehring & Lashley, 2004), but by 2010 at least 917 programs were using this technology (Hayden,
2010). Reviews of simulation in prelicensure education for multiple health professions, including medicine, nursing, and rehabilitation therapy, !nd that use
of simulation is associated with high satisfaction and con!dence as well as similar clinical performance between groups that have varying levels of simulation
experience during their education (Alanazi, Nicholson, & “omas, 2017; Cant &
Cooper, 2017; Hayden et al., 2014; Laschinger et al., 2008). Simulation education
also is playing an increasing role in supporting IPE and the development of skills
to practice e#ectively in health care teams (Palaganas, Epps, & Raemer, 2014).
Technological development also has fostered the growth of online health professions education for both initial education and continuing postlicensure education. Prelicensure programs frequently use “$ipped classroom” and “blended
classroom” approaches, in which there is a combination of in-person and online
learning modules (Wittich et al., 2017). Research on blended learning in health
professions education indicates that it has positive e#ects on learning both didactic and clinical content (Liu et al., 2016; McCutcheon, Lohan, Traynor, & Martin, 2015). Postlicensure education, including both advanced degree programs
and continuing education for license renewal, is increasingly o#ered online, in
web-based formats, and via videoconferencing (Cook et al., 2008). “ese strategies are highly e#ective for licensed professionals (Chipps, Brysiewicz, & Mars,
2012; Cook et al., 2008; Du et al., 2013; Richmond, Copsey, Hall, Davies, & Lamb,
2017). “ese innovative education approaches can improve the accessibility of
postlicensure degree programs and continuing education for those living in rural
communities (Chipps et al., 2012) and with mobility limitations (Marcyjanik &
Zorn, 2011).
In the face of rising costs and lengthy programs for health professions education, some U.S. schools have launched and expanded shorter training programs, most notably for medicine. “ree-year medical education programs are
not new; during the early 1970s, it was reported that 27% of schools of medicine
o#ered 3-year programs (Beran, 1979). Additional schools o#ered 6-year combined B.S.-M.D. programs. However, these programs were largely abandoned
owing to quality of life issues for students and faculty and the preference among
residency directors for 4-year program graduates (Kettel, Dinham, Drach, &
Barbee, 1979; Trzebiatowski & Peterson, 1979), even though there were no systematic reports of inadequacy of student preparation (Beran, 1979; Garrard
& Weber, 1974; Hallock et al., 1977; Kettel et al., 1979). In the 2000s, interest
in 3-year medical school programs was renewed in both allopathic and osteopathic medical schools, primarily as a strategy to increase interest in primary
care (Bell, Ferretti, & Ortoski, 2007; Raymond, Kerschner, Hueston, & Maurana, 2015). Some of these programs combine a 3-year undergraduate medical
program with a 3-year family or internal medicine residency. In 2012, it was
reported that more than 60 medical schools o#ered combined B.S.-M.D. programs lasting 6 or 7 years, and a small but growing number of schools were
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Chapter 9. The Health Workforce 239
o!ering 3-year medicine-only programs (Eaglen et al., 2012; Emanuel & Fuchs,
2012; Raymond et al., 2015). Accelerated education programs also are growing for nursing, including master’s degree entry and second-bachelor’s degree
programs designed for students with bachelor’s degrees in non-nursing “elds
(Aktan et al., 2009; Lindsey, 2009).
Increasing Educational Expectations
Concurrent with trends toward accelerated education and innovative education
delivery modalities has been a push among some professions, including pharmacists, NPs, certi”ed registered nurse anesthetists, and physical therapists, to
increase educational standards. For example, to support expanded roles of pharmacists in direct patient care and collaborative practice, in 2004 the Accreditation
Council for Pharmacy Education ended approval of 5-year bachelor’s of pharmacy
programs and made the Doctor of Pharmacy (PharmD) the only accredited pharmacy degree in the United States (Council on Credentialing in Pharmacy, 2010;
Maine, Knapp, & Scheckelho!, 2013; Schommer, Cline, & Larson, 2005). #at
same year, the American Association of Colleges of Nursing (AACN) approved
a position statement that supported adoption of the doctor of nursing practice
(DNP) degree by 2020 as the entry-level standard for advance practice RNs,
which includes NPs, certi”ed nurse midwives, clinical nurse specialists, and nurse
anesthetists (Martsolf, Auerbach, Spetz, Pearson, & Muchow, 2015). Although
the nurse anesthesia certi”cation board has dictated that all new graduates must
receive a DNP by 2025, only 25% of advance practice RN programs o!ered the
option for baccalaureate-educated RNs to go directly to a DNP in 2015. For PAs,
entry-level doctoral programs are now being launched, with the “rst one focused
on emergency medicine at Baylor University. Physical therapy, occupational therapy, laboratory medicine, speech therapy, and audiology also have moved toward
a clinical doctorate as the recommended or required entry-level education.
Many other health occupations are moving toward greater education requirements, including some that do not require bachelor’s-level education. #e IOM
recommended in 2011 that 80% of RNs attain a bachelor’s or higher degree by
2020 (IOM, 2011a), although this target will not be reached by that year. Similarly, the American Association for Respiratory Care issued a statement in 2015
that the share of respiratory therapists holding or working on a bachelor’s degree
should rise from 65% to 80% by 2020 (American Association for Respiratory
Care, 2015).
Supporters of increasing education standards for health professionals focus
on the additional time required to develop skills in patient care management as
well as development and execution of quality improvement programs. #ose who
oppose these education changes argue there is no evidence that higher educational requirements lead to better patient care and that higher levels of education increase costs for students and the health care system (Dickerson & Trujillo,
2009; Martsolf et al., 2015; Siler & Randolph, 2007).
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240 Part III. Medical Care: Treating Americans’ Medical Problems
CRITICAL ISSUES FOR THE HEALTH WORKFORCE
!e implementation of the Patient Protection and A”ordable Care Act (ACA)
and a growing focus on the a”ordability of health care have brought new
urgency to the need to reform the delivery of health care in the United States.
For nearly 20 years, it has been recognized that signi#cant changes are needed
to improve the quality of care, increase the
health status of the U.S. population, and control health care costs (IOM, 2001; Kohn, Corrigan, & Donaldson, 2000). !ese changes,
however, may be di$cult to implement in
the face of ongoing and worsening shortages of health professionals. !e most critical issues facing the health workforce now, in
addition to the educational reforms described earlier, include ongoing shortages;
changes in health care #nancing, which are rapidly spurring changes in the organization of care delivery; developing a workforce that can e”ectively coordinate the
care of patients; integrating physical health care services with behavioral health
and dental care; optimizing the use of information technologies in care delivery
and quality improvement; the need to revamp regulations so that health professionals can meet health care needs more e$ciently and e”ectively; and leveraging
the potential of health care labor unions and labor–management partnerships.
Health Professional Shortages
!e expansion of insurance coverage under the ACA led to a surge in the demand
for health services (Wishner & Burton, 2017), which exacerbated preexisting shortages of primary care providers and other health professionals (Bodenheimer &
Pham, 2010; Colwill, Cultice, & Kruse, 2008; IHS Inc., 2015; Institute of Medicine,
2014; Nicholson, 2009) and heightened concerns that there is not an adequate
workforce to meet the health care needs of the population (Ormond & Bovbjerg,
2011). Even if the ACA were to be modi#ed or repealed, population growth, the
aging of the U.S. population, and increased rates of chronic illness are expected to
increase the workloads of primary care providers over the next 15 years (Colwill
et al., 2008; IOM, 2008). !e proportion of the U.S. population over age 65 is rising rapidly, from 14.9% in 2015 to a projected 20.6% in 2030 (U.S. Census Bureau,
2014). !is is important for the health care workforce for several reasons:
■■ Health care for older Americans costs more than for other age groups. Data from 2006
show average annual costs ranging from about $11,000, for those ages 65 to 74, to
nearly $24,000 annually, for those over age 85 (Federal Interagency Forum on AgingRelated Statistics, 2010, p. 50). !ose costs rise even more when one adds the cost of
chronic conditions: Costs average $5,100 for those with no chronic conditions to more
than $25,000 annually for those with more than #ve chronic conditions.
For nearly 20 years, it has been
recognized that signi!cant
changes are needed to improve
the quality of care, increase
the health status of the U.S.
population, and control health
care costs.
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Chapter 9. The Health Workforce 241
■■ Older adults use more services from health professionals. !ose over age 65 account
for about 26% of all physician visits, 35% of all hospital stays, 34% of prescriptions, and
90% of nursing home use (IOM, 2008).
■■ Many health professions’ curricula do not contain signi”cant content in caring for
older adults. At a time when we will most need generalists and specialists in geriatric care, the U.S. workforce is ill-prepared for these challenges (Kottek, Bates, &
Spetz, 2017).
■■ Members of the workforce that provide the bulk of long-term care in the home, community, and nursing homes are poorly paid, lack recognition for their work, and have
high rates of job dissatisfaction and turnover (IOM, 2008).
Shortages exist when demand is greater than supply. !e economic response
to a shortage is an increase in wages, which leads to greater supply (because compensation is more lucrative) and lower demand (because labor costs employers
more). However, this normal economic response does not always occur in the
labor markets for health professionals. First, wages may not change. !e historical fee-for-service (FFS) reimbursement system favors specialized, complex, and
procedurally oriented services. Because standard o#ce visits receive lower payment, total compensation for primary care providers is lower. Signi”cant changes
in payment methods will be needed to rectify this di$erential; accountable care
organizations (ACOs), PCMHs, and other such innovations may have some
impact, but the degree to which they will support growth of the primary care
workforce is yet unknown.
!e second reason health care labor markets might not follow standard economic behavior is that their supply is constrained by
licensure and educational
requirements. !e time required to prepare a new health care professional for
entry into the workforce can be many years. For example, the education of a primary care physician requires 4 years of medical school education, followed by 3 or
more years of residency. Interest in primary care among medical school students
has been dropping for years, with particularly little interest in family medicine
(Council on Graduate Medical Education, 2010; McGaha, Schmittling, DeVilbiss
Bieck, Crosley, & Pugno, 2010). Registered nurses, who must have a license recognized by the state in which they practice, must complete at least 2 years of
postsecondary education before they are quali”ed to take a licensing examination
(Buerhaus, Staiger, & Auerbach, 2009). Many other health professions, including
physical therapists, medical technologists, and respiratory therapists, face similar
licensing and education requirements.
Further constraining the supply of health professionals are limits on educational capacity. Allied health educational programs exemplify some of the challenges in producing an adequate number of health professionals. Educational
programs can be expensive to operate, with small class sizes and the cost of supplies for clinical practicums. !is is true for many occupations, including radiologic technicians, imaging specialties, and medical laboratory technologists.
Many allied health professions education programs are taught in community
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242 Part III. Medical Care: Treating Americans’ Medical Problems
college settings, where !nancial resources may be more limited than in universities and private colleges (IOM, 2011b).
In addition to the challenge of educating enough health professionals, there is
often a problem with the geographic distribution of those workers. In the United
States, it has historically been di”cult to recruit professionals into rural and
poorer urban areas, particularly when jobs are plentiful elsewhere (Bourgueil,
Mouseques, & Tajahmadi, 2006). Despite direct government interventions in the
form of academic stipends and loan forgiveness programs, access to primary care
in particular remains a problem in many states and in speci!c regions of some
states. Several analyses of health workforce needs for the ACA have reported that
the maldistribution of professionals is a critical problem across professions (e.g.,
Bates, Blash, Chapman, Dower, & O’Neil, 2011). #ese and other studies have
reported that training and retaining allied health workers in rural areas is also
a challenge (California Hospital Association, 2011). For this reason, many rural
health care programs use a “grow your own” approach recruiting and training
students from rural areas to increase the likelihood they will stay to work in the
area (IOM, 2011b).
Health worker shortages, and the rising wages that accompany them, have
led many health policy experts to advocate for increasing the roles of nonphysicians and allied health workers in care delivery. As discussed above, greater use of
team-based care and nonphysician health professionals could address physician
shortages, at least to some degree (Auerbach et al., 2013; Bodenheimer & Smith,
2013; HRSA, 2016). Similarly, licensed vocational nurses, who have a certi!cate or
associate degree, can perform many tasks reserved for RNs (Seago, Spetz, Chapman, Dyer, & Grumbach, 2004). #e degree to which health care delivery systems
engage in the substitution of health professionals depends both on their relative
wages and regulations that designate the
scope of practice of each professional.
Changes in Health Care Financing and the Organization of Care
Some provisions of the ACA are intended to increase the e”ciency of health
care delivery and are likely to a$ect the mix of health workers demanded.
Performance-based payment programs, for example, give health care organizations a !nancial incentive to focus on implementing models of care that can
increase the quality of care at a reasonable cost (Davis & Guterman, 2007). For
example, many studies have found that higher RN sta”ng levels in hospitals
are linked to better patient outcomes (e.g., Aiken, Clarke, Sloane, Sochalski, &
Silber, 2002; Kane, Shamliyan, Mueller, Duval, & Wilt, 2007; Lang, Hodge, Olson,
Romano, & Kravitz, 2004; Needleman, Buerhaus, Mattke, Stewart, & Zelevinsky, 2002). Historically, however, hospitals have had little !nancial incentive to
increase nurse sta”ng because higher-quality nursing care is not rewarded and
nursing wages are expensive. Performance-based payment may lead hospitals to
reconsider the value of increasing nurse sta”ng because there could be a !nancial gain in improving quality (Kurtzman & Buerhaus, 2008).
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Chapter 9. The Health Workforce 243
Two other innovations in health care
!nancing are Medicare’s bundled payment
and ACO programs, both of which create
!nancial incentives for health care providers to take full responsibility for an episode
of care. “is is a signi!cant change from the
FFS approach by allowing health care organizations to retain !nancial savings from
delivering care e#ciently, as long as quality
is improved or maintained. “e potential
for !nancial gain gives health care providers an incentive to reassess their processes for providing care. ACOs have increased their use of interprofessional
health care teams, particularly for patients with high costs and complex illness (Sandberg, Erikson, & Yunker, 2017). Bundled payments, which provide
a single payment for hospital services during both initial hospitalization and
any subsequent hospitalization for a !xed period of time, also lead hospitals to
invest in services to prevent rehospitalizations.
Care Coordination
“e di$usion of payment systems that provide incentives to increase the e#ciency
of care delivery has given hospitals incentives to reduce the length of hospital
stay and ambulatory care providers incentives to reduce unnecessary ambulatory
care and emergency department visits. “is places increased importance on
coordinating the continuation of care and communication with the health care
team in the home. Care coordination and the employment of care managers are
associated with reduced hospitalizations and avoidable emergency department
visits (Conway, O’Donnell, & Yates, 2017; Erikson, Pittman, LaFrance, &
Chapman, 2017; Sandberg et al., 2017). Research has shown that health systems
are making greater investments in hiring and training nurses, social workers,
medical assistants, and other workers for care coordination (Ladden et al., 2013).
“ese workers hold a variety of job titles, including care coordinator, care manager,
case manager, and care navigator (Erikson et al., 2017). Erikson and colleagues
(2017) found that health systems often hire RNs for patients requiring clinical
management and social workers for patients needing social services; however,
these roles are often blended. As care coordination jobs become more prevalent
in the future, a challenge will be preparing the workforce for the skills needed
in these new roles: team communication, use of remote monitoring technology,
telehealth, and working with family caregivers.
“e ACA also includes provisions to support the PCMH model of care. A
PCMH engages a team of providers in the delivery of care, typically including
physicians, NPs, RNs, medical assistants, health educators, and pharmacists. Ideally, behavioral and mental health services are integrated into the PCMH (Bates
et al., 2011). Medical assistants might conduct expanded health assessments
Bundled payments, which
provide a single payment for
hospital services during both
initial hospitalization and any
subsequent hospitalization for
a !xed period of time, also lead
hospitals to invest in services to
prevent rehospitalizations.
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244 Part III. Medical Care: Treating Americans’ Medical Problems
and review patient records to identify those who need contact to ensure followup appointments and prescription re!lls occur (Chapman & Blash, 2017). RNs
often engage in care coordination and management, linking patients to specialists and other services. Health coaches support patients in adopting care plans
including diet and exercise, and community health workers engage patients with
community and social support services. Evaluations of the PCMH model !nds it
has positive impacts on quality of care and use of preventive services as well as
lower overall costs of care (Alexander et al., 2015). “is and similar team-based
approaches to providing primary care services may help to address anticipated
shortages of primary care providers by increasing the roles of other health care
professionals (Auerbach et al., 2013; Bates et al., 2011). In order for these models
of care to be fully successful, however, educational programs need to be realigned
to focus on interprofessional teams.
Integration of Physical Health, Behavioral Health, and Dental Care
Behavioral health care includes services for mental health and substance use
disorders. “e demand for behavioral health care services has increased for two
primary reasons. “e Mental Health Parity and Addiction Equity Act of 2008,
along with the ACA, ensured that mental health and substance abuse bene!ts
be no more restrictive than those for medical and surgical care (Frank, Beronio,
& Glied, 2014). “e ACA included mental health care as one of 10 essential bene!ts in all health care plans o#ered in the state insurance exchanges (Beronio, Po,
Scopec, & Glied, 2013). Even prior to these changes, there were national shortages of behavioral health providers. HRSA identi!es approximately 4,000 mental
health professional shortage areas in the United States (U.S. Health Resources and
Services Administration, 2016). Behavioral health providers include a wide range
of professionals and levels of preparation, including psychiatrists, psychologists,
psychiatric mental health nurse practitioners (PMHNPs), social workers, substance abuse counselors, and persons with lived experience called peer providers
who support persons in the recovery process. Some of the challenges in assuring
access to behavioral health care workers include a lack of growth in the number of
psychiatry trainees for more than a decade (National Resident Matching Program,
2017), PMHNP scope of practice limitations (Phoenix, Hurd, & Chapman, 2016),
maldistribution of the available workforce geographically and between public and
private practice, and the stigma of working in behavioral health. Behavioral health
is generally not well integrated with primary care services because services are
often provided at separate locations and have di#erent payment systems and electronic health records, and care coordination among the team members is di$cult.
“ere are promising e#orts in integrating primary and behavioral health care, but
much more needs to be done (Skillman, Snyder, Frogner, & Patterson, 2016).
Oral health care also has traditionally been separated from medical care,
even though dental disease has impacts on respiratory disease, cardiovascular disease, and diabetes (IOM, 2011c). Dental pain accounts for more than
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Chapter 9. The Health Workforce 245
1.3 million emergency department visits each year and up to 5% of adult primary care visits (Allareddy et al., 2014; IOM, 2011c). Increasing awareness of
the importance of oral health, along with requirements in the ACA that state
Medicaid plans insure oral health services for children, has prompted integration of dental and medical services by some providers. Some federally quali!ed
health centers and private medical groups have trained pediatricians to provide
enhanced dental screening and apply “uoride varnish to children’s teeth (Braun
et al., 2017; Pahel, Rozier, Stearns, & Quiñonez, 2011). NPs and physician assistants employed in primary care settings also are delivering similar services
(Mertz, Spetz, & Moore, 2017).
Information Technologies and the Workforce
#e continuing evolution of information technology in health care is changing
the work of health professionals as well as the way they communicate with each
other and with family members. Electronic health records enable health workers to exchange information rapidly and to engage patients more actively in care.
Electronic health records that facilitate greater use of telephone communication
with patients have been associated with a decrease in primary care visits (Chen,
Garrido, Chock, Okawa, & Liang, 2009) as well as fewer avoidable hospitalizations (Lammers, McLaughlin, & Barna, 2016). Even though the expanded use of
electronic health records is improving e$ciency, enhancing quality, and increasing patient engagement in health care, the implementation of such technologies
has demanded notable changes in skills and work”ow. Electronic health records
organize information di%erently than traditional paper charts, and health professionals need to navigate through structured menus to enter information rather
than rely on simple templates and free text. Many organizations have found that
in the short term these systems—and changes to the systems—disrupt work”ow,
and workers with poor typing and computer skills are challenged to use them
(Spetz, Phibbs, & Burgess, 2012). To make the best use of these systems, health
workers need enhanced computer skills, and health care organizations must
carefully redesign work”ow to take best advantage of what electronic health
records o%er.
Telemedicine also is rapidly changing the capacity of the health care
workforce, particularly in rural areas. Early use of telemedicine was limited largely
to telephone communication, but high-resolution digital imaging, real-time twoway video communication, and rapid transmission of electronic health records
make it possible for remote clinicians to access enough information to engage
in complex consultations remotely. Rural communities are increasingly using
electronic consultations to give patients access to specialists without traveling.
Widespread adoption of these technologies in both urban and rural settings
could greatly expand the capacity of the current workforce to meet health care
needs (Courneya, Palattao, & Gallagher, 2013; Green et al., 2013; Weiner, Yeh, &
Blumenthal, 2013).
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246 Part III. Medical Care: Treating Americans’ Medical Problems
The Need for Regulatory Reform
!e growth of team-based models of care, such as the PCMH, and continuing
concerns about shortages of physicians have led many researchers and policy
analysts to argue that nonphysician providers can and should play a larger role
in the delivery of primary care. For example, about half of NPs focus on the provision of primary care services (Spetz, Fraher, Li, & Bates, 2015). Many studies
demonstrate that the quality of care delivered by NPs is at least equivalent to that
of physicians, and some research has found that NPs have stronger patient communication skills (Horrocks, Anderson, & Salisbury, 2002; Lenz, Mundinger, &
Kane, 2004; Newhouse et al., 2011). However, NPs face scope-of-practice laws
that require them to work under physician supervision and limit their ability to
prescribe medications (Sekscenski, Sansom, Bazell, Salmon, & Mullan, 1994;
Wing, O’Grady, & Langelier, 2005). Removal of these barriers would enable NPs
to practice to their fullest potential to meet health care needs (IOM, 2011a). Regulations also limit the work of other health professionals, such as licensed practical nurses (LPNs) and medical assistants (Seago et al., 2004).
More than three-fourths of health workers are employed in licensed occupations. !ese occupations practice in the context of regulations regarding their
scope of practice which, for some states, stipulate whether they must be supervised or collaborate with other professionals and whether they can be reimbursed
directly by insurance companies (Kleiner & Park, 2010). !e often-stated purpose
of scope-of-practice regulation across the professions is consumer protection:
safeguarding consumers who cannot independently evaluate the skills or competence of health practitioners. State regulations, including licensure requirements, are meant to outline the basic education, skills, and competency of a
health care professional. Sometimes these regulations outline what practitioners
of a particular profession can do safely, and in some cases the regulations focus
on what members of the profession are not allowed to do. Both the breadth of
work permitted and prohibitions can be found in some state regulations. When
there is overlap in the potential roles of health professionals, scope of practice
regulations are more controversial and vary more across states (Kleiner, Marier,
Park, & Wing, 2014). Health care organizations also control the practice of health
professionals by establishing their own rules about what each provider can and
cannot do. For example, some hospitals do not permit NPs and PAs to oversee
patient care, and pharmacists are restricted from managing medications in some
organizations.
!e e”ect of NP scope-of-practice regulations has been studied more than
those of other professions. !ere is substantial variation in the scope of practice
permitted across states (Christian, Dower, & O’Neil, 2007). In 23 states and the
District of Columbia, NPs are permitted to provide care independently, but in
other states NPs are not permitted to practice without physician collaboration
or supervision, often requiring written practice protocols and sometimes including restrictions on the number of NPs with whom a physician may collaborate
(American Association of Nurse Practitioners, 2017). Even when NPs can practice
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Chapter 9. The Health Workforce 247
independently, they may be required to have a collaborative or supervisory relationship with a physician to prescribe medications. Restrictive scope-of-practice
regulations for NPs have been linked to lower utilization of primary care services (Stange, 2013) and higher costs in retail health care clinics (Spetz & Parente,
2013). At the same time, several systematic reviews have concluded that primary
care services provided by NPs are of similar quality as physician care (Horrocks
et al., 2002; Lenz et al., 2004; Newhouse et al., 2011). In order to fully leverage the
capacity of the health workforce and align care processes to emerging !nancial
incentives, scope-of-practice regulations may need to be reconsidered.
Since 2000, there has been a trend toward regulatory changes that allow many
NPs and PAs greater practice independence (Gadbois, Miller, Tyler, & Intrator,
2014). Other professions also have seen expansions in their scope of practice.
Dental hygienists are now practicing more autonomously in many states than in
the past, particularly in public health settings such as schools, nursing homes,
and correctional facilities (Mertz et al., 2017). In addition, new categories of
licensed health professionals have been added, such as dental therapists, who
are authorized to diagnose dental disease, treat caries, and perform extractions
in Minnesota, Maine, and Vermont as well as within the Alaskan Native Tribal
Health Consortium (Nash, 2009; Pew Charitable Trusts Dental Campaign, 2016).
Health Care Unions and Labor–Management Partnerships
Growing numbers of health care workers are represented by unions; this trend
dates to the 1970s when regulations permitted employees of nonpro!t organizations to become unionized and eased the unionization of public-sector workers.
About 14% of health practitioner and technical workers are represented by unions,
as are 10% of health care support occupations (U.S. Bureau of Labor Statistics,
2014). Unionized health workers tend to receive higher wages than those not represented by unions. Unions also have sought other concessions from employers,
particularly hospitals, such as establishment of !xed nurse-to-patient ratios, preferred shifts based on employment tenure, and improved health and retirement
bene!ts. Health care workers have engaged in highly visible strikes and labor
actions; they are politically active, supporting legislation and candidates.
Some employers have developed good working relationships with their
unions. For example, in 1997 the Service Employees International Union, which
represents multiple health occupations, and 10 other unions partnered with
Kaiser Permanente in a landmark agreement. “e partnership focused on multiple
goals, including improving quality of care for members, making Kaiser Permanente more competitive in its markets, making Kaiser Permanente an “employer of
choice,” and providing Kaiser Permanente employees with the “maximum possible
employment and income security” (Kochan, McKersie, Eaton, & Adler, 2009). Since
then, the unions and Kaiser Permanente have worked closely together to establish
internal training programs, scholarships and grants for pursuing advanced education, and job transition programs. When Kaiser Permanente established a systemwide health information technology system, it worked with the union to ensure
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248 Part III. Medical Care: Treating Americans’ Medical Problems
CASE EXERCISE—WORKFORCE RECRUITMENT PLAN
You are the newly hired director of human resources (HR) for a large inner-city health care
organization. The CEO has asked you to develop a strategic response to numerous HR problems. The main problem has been the inability to recruit new physicians and RNs. This problem
is compounded by a lack of teamwork among clinicians and between service departments and
a high rate of turnover of some of the best workers while less able workers remain employed.
In writing your strategic response, consider the following questions:
1. What strategies could be undertaken in the short term to address these problems?
2. What approaches could be taken in the long term?
3. Which of these approaches can be undertaken by the HR department on its own, and
which require collaboration with employee groups and/or HR directors at neighboring
employers?
4. Choose three short-term priorities and defend them. How might they segue into a longterm strategy?
t
DISCUSSION QUESTIONS
1. What are advantages of need-based models of demand? What are disadvantages of
this approach to estimating demand?
2. If changes to scope-of-practice regulations could help to abate health worker shortages and reduce the cost of health care, why are such changes not made?
3. What speci!c skills are needed for health care practitioners to coordinate care across
hospital, outpatient, skilled nursing, and home care settings?
that employees received training and to !nd new roles for workers, such as clerks,
whose jobs would be obviated by the electronic records. Although this partnership has not been without challenges, it has served as one model of a collaborative
labor–management approach, rather than an adversarial relationship.
CONCLUSION: BUILDING THE FUTURE HEALTH CARE WORKFORCE
“e health workforce is central to the health care system, and changes in its
deployment and utilization will have signi!cant e#ects on health care quality and
costs. “e ACA and rising concerns about the e$ciency of health care delivery
are bringing renewed attention to the importance of team-based care models,
IPE, and scope-of-practice regulations. At the same time, concerns and ongoing and emerging shortages of health workers persist. “e U.S. Bureau of Labor
Statistics estimates that the number of people employed in health occupations
will rise to more than 15 million by 2026, accounting for nearly 1 in 11 jobs. “e
importance of this workforce to both health care and the overall economy will
keep the health professions in the policy spotlight for the foreseeable future.
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Chapter 9. The Health Workforce 249
REFERENCES
Aiken, L., Clarke, S., Sloane, D., Sochalski, J., & Silber, J. (2002). Hospital nurse sta!ng and
patient mortality, nurse burnout, and job dissatisfaction.
Journal of the American Medical Association, 288, 1987–1993.
Aktan, N. M., Bareford, C. G., Bliss, J. B., Connolly, K., DeYoung, S., Lancellotti Sullivan, K.,
& Tracy, J. (2009). Comparison of outcomes in a tailored versus accelerated nursing
curriculum.
International Journal of Nursing Education Scholarship, 6, Article 13.
Alanazi, A. A., Nicholson, N., & “omas, S. (2017). “e use of simulation training to improve
knowledge, skills, and con#dence among healthcare students: A systematic review.
Internet Journal of Allied Health Sciences and Practice, 15(3), article 2.
Alexander, J. A., Markovitz, A. R., Paustian, M. L., Wise, C. G., El Reda, D. K., Green, L. A.,
& Fetters, M. D. (2015). Implementation of patient-centered medical homes in adult
primary care practices.
Medical Care Research and Review, 72(4), 438–467.
Allareddy V., Rampa, S., Lee, M. K., Allareddy, V., & Nalliah R. P. (2014). Hospital-based
emergency department visits involving dental conditions: Pro#le and predictors of poor
outcomes and resource utilization.
Journal of the American Dental Association, 145(4),
331–337.
American Association for Respiratory Care. (2015). AARC BOD sets 80% bachelor degree
goal by 2020. Retrieved from http://www.aarc.org/aarc-bod-sets-80-bachelor-degree
-goal-by-2020
American Association of Nurse Practitioners. (2017). State practice environment.
Retrieved from https://www.aanp.org/legislation-regulation/state-legislation/state
-practice-environment
Auerbach, D. I., Chen, P. G., Friedberg, M. W., Reid, R., Lau, C., Buerhaus, P. I., & Mehrotra,
A. (2013). Nurse-managed health centers and patient-centered medical homes could
mitigate expected primary care physician shortage.
Health A!airs, 32(11), 1933–1941.
Barr, H., Koppel, I., Reeves, S., Hammick, M., & Freeth, D. (2005).
E!ective interprofessional
education: Argument, assumption and evidence
. Oxford, UK: Blackwell Publishing.
Bates, T., Blash, L., Chapman, S., Dower, C., & O’Neil, E. (2011).
California’s health care
workforce: Readiness for the ACA era
. San Francisco: Center for the Health Professions
at the University of California.
Bell, H. S., Ferretti, S. M., & Ortoski, R. A. (2007). A three-year accelerated medical school
curriculum designed to encourage and facilitate primary care careers.
Academic Medicine, 82(9), 895–899.
Beran, R. L. (1979). “e rise and fall of three-year medical school programs.
Academic Medicine, 54(3), 248–249.
Beronio, K., Po, R., Skopec, L., & Glied, S. (2013). A$ordable Care Act will expand mental
health and substance use disorder bene#ts and parity protections for 62 million Americans. ASPE Research Brief, Department of Health and Human Services, O!ce of the
Assistant Secretary for Planning and Evaluation. Retrieved from https://aspe.hhs.gov/
sites/default/#les/pdf/76591/rb mental.pdf
Bipartisan Policy Center. (2011).”e complexities of national health care workforce planning.
Washington, DC: Bipartisan Policy Center. Retrieved from http://bipartisanpolicy.org/
wp-content/uploads/sites/default/files/Workforce%20study_Public%20Release%20
040912.pdf
Bodenheimer, T., Berenson, R. A., & Rudolf, P. (2007). “e primary care-specialty income
gap: Why it matters.
Annals of Internal Medicine, 146(4), 301–306.
Bodenheimer, T., & Pham, H. H. (2010). Primary care: Current problems and proposed
solutions.
Health A!airs, 29(5), 799–805.
Bodenheimer, T. S., & Smith, M. D. (2013). Primary care: Proposed solutions to the physician shortage without training more physicians.
Health A!airs, 32(11), 1881–1886.
EBSCOhost – printed on 3/11/2021 10:34 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
250 Part III. Medical Care: Treating Americans’ Medical Problems
Bourgueil, Y., Mouseques, J., & Tajahmadi, A. (2006). Improving the geographical distribution of health professionals: What the literature tells us. Health economics letter. Paris,
France: Institute for Research and Information in Health Economics.
Braun, P. A., Widmer-Racich, K., Sevick, C., Starzyk, E. J., Mauritson, K., & Hambidge, S. J.
(2017). E!ectiveness on early childhood caries of an oral health promotion program for
medical providers.
American Journal of Public Health, 107(S1), S97–S103.
Budden, J. S., Moulton, P., Harper, K. J., Brunell, M. L., & Smiley, R. (2016). “e 2015
National Nursing Workforce Survey.
Journal of Nursing Regulation, 7(1), S4–S92.
Buerhaus, P. I., Staiger, D. O., & Auerbach, D. I. (2009).
!e future of the nursing workforce
in the United States: Data, trends, and implications
. Sudbury, MA: Jones & Bartlett.
California Hospital Association. (2011). Critical roles: California’s allied health workforce
follow-up report. Retrieved from http://www.calhospital.org/critical-roles
Cant, R. P., & Cooper, S. J. (2017). Use of simulation-based learning in undergraduate nurse
education: An umbrella systematic review.
Nurse Education Today, 49, 63–71.
Chapman, S. A. & Blash, L. (2017). New roles for medical assistants in innovative primary
care practices.
Health Services Research, 52(1), 383–406.
Chen, C., Garrido, T., Chock, D., Okawa, G., & Liang, L. (2009). “e Kaiser Permanente electronic health record: Transforming and streamlining modalities of care.
Health A”airs,
28(2), 323–333.
Chipps, J., Brysiewicz, P., & Mars, M. (2012). A systematic review of the e!ectiveness of
videoconference-based tele-education for medical and nursing education.
Worldviews
on Evidence-Based Nursing
, 9(2), 78–87.
Christian, S., Dower, C., & O’Neil, E. (2007).
Overview of nurse practitioner scopes of practice
in the United States
. San Francisco: University of California Center for the Health Professions. Retrieved from http://futurehealth.ucsf.edu/Content/29/2007–12_Overview_
of_Nurse_Practitioner_Scopes_of_Practice_In_the_United_States_Discussion.pdf
Colwill, J. M., Cultice, J. M., & Kruse, R. L. (2008). Will generalist physician supply meet
demands of an increasing and aging population?
Health A”airs, 27, w232–w241.
Conway, A., O’Donnell, C., & Yates, P. (2017). “e e!ectiveness of the nurse care coordinator role on patient-reported and health service outcomes: A systematic review.
Evaluation and the Health Professions, 1–34. E-pub ahead of print, retrieved from http://
journals.sagepub.com/doi/abs/10.1177/0163278717734610
Cook, D. A., Levinson, A. J., Garside, S., Dupras, D. M., Erwin, P. J., & Montori, V. M.
(2008). Internet-based learning in the health professions: A meta-analysis.
Journal of the
American Medical Association
, 300(10), 1181–1196.
Council on Credentialing in Pharmacy. (2010). Scope of contemporary pharmacy practice:
Roles, responsibilities, and functions of pharmacists and pharmacy technicians.
Journal
of the American Pharmacist Association
, 50(2), e35–e69.
Council on Graduate Medical Education. (2010).
COGME 20th report: Advancing primary
care
. Rockville, MD: Health Resources and Services Administration. Retrieved from
http://www.hrsa.gov/advisorycommittees/bhpradvisory/cogme/Reports/index.html
Courneya, P. T., Palattao, K. J., & Gallagher, J. M. (2013). HealthPartners’ online clinic for
simple conditions delivers savings of $88 per episode and high patient approval.
Health
A”airs
, 32(2), 385–392.
Davis, K., & Guterman, S. (2007). Rewarding excellence and e#ciency in Medicare payments.
Milbank Quarterly, 85, 449–468.
Dickerson, A. E., & Trujillo, L. (2009). Practitioners’ perceptions of the occupational therapy
clinical doctorate.
Journal of Allied Health, 18(1), e47–e53.
Du, S., Liu, Z., Liu, S., Yin, H., Xu, G., Zhang, H., & Wang, A. (2013). Web-based distance
learning for nurse education: A systematic review.
International Nursing Review, 60(2),
167–177.
EBSCOhost – printed on 3/11/2021 10:34 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 9. The Health Workforce 251
Eaglen, R. H., Arnold, L., Girotti, J. A., Cosgrove, E. M., Green, M. M., Kollisch, D. O., …
Tracy, S. W. (2012). !e scope and variety of combined baccalaureate-MD programs in
the United States.
Academic Medicine, 87(11), 1600–1608.
Emanuel, E. J., & Fuchs, V. R. (2012). Shortening medical training by 30%.
Journal of the
American Medical Association
, 307(11), 1143–1144.
Erikson, C. E., Pittman, P., LaFrance, A., & Chapman, S. A. (2017). Alternative payment
models lead to strategic care coordination workforce investments,
Nursing Outlook, 56,
737–745.
Federal Interagency Forum on Aging-Related Statistics. (2010).
Older Americans 2010: Key
indicators of well-being
[Forum]. Washington, DC: U.S. Government Printing O”ce.
Frank, R. G., Beronio, K., & Glied, S. A. (2014). Behavioral health parity and the A#ordable
Care Act.
Journal of Social Work in Disability and Rehabilitation, 13(1–2), 31–43.
Gadbois, E. A., Miller, E. A., Tyler, D., & Intrator, O. (2014). Trends in state regulation of
nurse practitioners and physician assistants, 2001 to 2010.
Medical Care Research and
Review
, 72(2), 200–219.
Garrard, J., & Weber, R. G. (1974). Comparison of three- and four-year medical school
graduates.
Academic Medicine, 49(6), 547–553.
Gitterman, D., Spetz, J., & Fellowes, M. (2004).!e other side of the ledger: Federal health spending in metropolitan economies. Washington, DC: !e Brookings Institution. Retrieved
from http://www.brookings.edu/research/reports/2004/09/labormarkets-gitterman
Grayson, M. S., Newton, D. A., & !ompson, L. F. (2012). Payback time: !e associations of
debt and income with medical student career choice.
Medical Education, 46, 983–991.
Green, L. V., Savin, S., & Lu, Y. (2013). Primary care physician shortages could be eliminated
through use of teams, nonphysicians, and electronic communication.
Health A!airs,
32(1), 11–19.
Greiner, A. C., & Knebel, E. (Eds.). (2003).
Health professions education: A bridge to quality.
Washington, DC: National Academies Press.
Hallock, J. A., Christensen, J. A., Denker, M. W., Hochberg, C. J., Trudeau, W. L. & Williams,
J. W. (1977). A comparison of the clinical performance of students in three- and fouryear curricula.
Journal of Medical Education, 52, 658–663.
Hauer, K. E., Durning, S. J., Kernan, W. N., Fagan, M. J., Mintz, M., O’Sullivan, P.S., …
Schwartz, M. D. (2008). Factors associated with medical students’ career choices
regarding internal medicine.
Journal of the American Medical Association, 300(10),
1154–1164.
Hayden, J. (2010). Use of simulation in nursing education: National survey results.
Journal
of Nursing Regulation
, 1(3), 52–57.
Hayden, J. K., Smiley, R. A., Alexander, M., Kandong-Edgren, S., & Je#ries, P. R. (2014).
!e NCSBN National Simulation Study: A longitudinal, randomized, controlled study
replacing clinical hours with simulation in prelicensure nursing education.
Journal of
Nursing Regulation
, 5(2), S2–S64.
Horrocks, S., Anderson, E., & Salisbury, C. (2002). Systematic review of whether nurse practitioners working in primary care can provide equivalent care to doctors.
British Medical Journal, 324, 819–823.
IHS, Inc. (2015).
“e complexities of physician supply and demand: Projections from 2013 to
2025
. Washington, DC: American Association of Medical Colleges.
Institute of Medicine. (1972).
Educating for the health team. Washington, DC: National
Academy of Sciences.
Institute of Medicine. (2001).
Crossing the quality chasm: A new health system for the 21st
century
. Washington, DC: National Academies Press.
Institute of Medicine. (2008).
Retooling for an aging America: Building the health care workforce. Washington, DC: National Academies Press.
EBSCOhost – printed on 3/11/2021 10:34 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
252 Part III. Medical Care: Treating Americans’ Medical Problems
Institute of Medicine. (2011a). !e future of nursing: Leading change, advancing health.
Washington, DC: National Academies Press.
Institute of Medicine. (2011b).
Allied health workforce and services: Workshop summary.
Washington, DC: National Academies Press.
Institute of Medicine. (2011c).
Improving access to oral health care for vulnerable and underserved populations. Washington, DC: National Academies Press.
Institute of Medicine. (2014).
Forum on medical and public health preparedness for catastrophic events. Washington, DC: National Academies Press.
Interprofessional Education Collaborative. (2011).
Core competencies for interprofessional
collaborative practice
. Washington, DC: Association of American Medical Colleges.
Ironside, P. M., & McNelis, A. M. (2009). Clinical education in prelicensure nursing programs: Findings from a national study.
Nursing Education Perspectives, 31(4), 264–265.
Kane, R. L., Shamliyan, T. A., Mueller, C., Duval, S., & Wilt, T. J. (2007). !e association
of registered nurse sta”ng levels and patient outcomes. Systematic review and metaanalysis.
Medical Care, 45, 1195–1204.
Kettel, L. J., Dinham, S. M., Drach, G. W., & Barbee, R. A. (1979). Arizona’s three-year medical curriculum: A postmortem.
Academic Medicine, 54(3), 210–216.
Kleiner, M. M., Marier, A., Park, K. W., & Wing, C. (2014). Relaxing occupational licensing requirements: Analyzing wages and prices for a medical service. National Bureau
of Economic Research Working Paper 19906. Retrieved from http://www.nber.org/
papers/w19906
Kleiner, M. M., & Park, K. W. (2010). Battles among licensed occupations: Analyzing government regulations on labor market outcomes for dentists and hygienists. National
Bureau of Economic Research Working Paper 16560. Retrieved from http://www.nber
.org/papers/w16560
Kochan, T., McKersie, R., Eaton, A., & Adler, P. (2009).
Healing together: !e labor-management partnership at Kaiser Permanente. Ithaca, NY: Cornell University Press.
Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (Eds.). (2000).
To err is human: Building a
safer health system
. Washington, DC: National Academies Press.
Kottek, A., Bates, T., & Spetz, J. (2017).
!e roles and value of geriatricians in healthcare
teams: A landscape analysis
. San Francisco, CA: UCSF Health Workforce Research Center on Long-Term Care.
Kurtzman, E., & Buerhaus, P. (2008). New Medicare payment rules: Danger or opportunity
for nursing?
American Journal of Nursing, 108, 30–35.
Ladden, M. D., Bodenheimer, T., Fishman, N. W., Flinter, M., Hsu, C., Parchman, M., &
Wagner, E. H. (2013). !e emerging primary care workforce: Preliminary observations
from the primary care team: Learning from e#ective ambulatory practices project.
Academic Medicine, 88(12), 1830e–1834.
Lammers, E. J., McLaughlin, C. G., & Barna, M. (2016). Physician EHR adoption and potentially preventable hospital admissions among Medicare bene$ciaries: Panel data evidence, 2010–2013.
Health Services Research, 51(6), 2056–2075.
Lang, T. A., Hodge, M., Olson, V., Romano, P. S., & Kravitz, R. L. (2004).Nurse-patient
ratios: A systematic review on the e#ects of nurse sta”ng on patient, nurse employee,
and hospital outcomes.
Journal of Nursing Administration, 34, 326–337.
Laschinger, S., Medves, J., Pulling, C., McGraw, R., Waytuck, B., Harrison, M., & Gambeta,
K. (2008). E#ectiveness of simulation on health profession students’ knowledge, skills,
con$dence and satisfaction.
International Journal of Evidence-Based Healthcare, 6(3),
278–302.
Lenz, E., Mundinger, M., & Kane, R. (2004). Primary care outcomes in patients treated
by nurse practitioners or physicians: Two-year follow-up.
Medical Care, 61(3),
332–351.
EBSCOhost – printed on 3/11/2021 10:34 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 9. The Health Workforce 253
Lindsey, P. (2009). Starting an accelerated baccalaureate nursing program: Challenges and
opportunities for creative educational innovations.
Journal of Nursing Education, 48,
279–281.
Liu, Q., Peng, W., Zhang, F., Hu, R., Li, Y., & Yan, W. (2016). !e e”ectiveness of blended
learning in health professions: Systematic review and meta-analysis.
Journal of Medical
Internet Research
, 18(1), e2.
Maine, L. L., Knapp, K. K., & Scheckelho”, D. J. (2013). Pharmacists and technicians can
enhance patient care even more once national policies, practices, and priorities are
aligned.
Health A!airs, 32(11), 1956–1962.
Marcyjanik, D., & Zorn, C. R. (2011). Accessibility in online nursing education for persons
with disability.
Nurse Educator, 36(6), 241–245.
Martsolf, G. R., Auerbach, D. I., Spetz, J., Pearson, M. L., & Muchow, A. N. (2015). Doctor of
nursing practice by 2015: An examination of nursing schools’ decisions to o”er a doctor
of nursing practice degree.
Nursing Outlook, 63(2), 219–226.
Matherlee, K. (2003). !e U.S. health workforce: De#nitions, dollars, and dilemmas.
Washington, DC: National Health Policy Forum. Retrieved from http://www.nhpf.org/
library/background-papers/BP_Workforce_4–03.pdf
McCutcheon, K., Lohan, M., Traynor, M., & Martin, D. (2015). A systematic review evaluating the impact of online or blended learning vs. face-to-face learning of clinical skills in
undergraduate nurse education.
Journal of Advanced Nursing, 71(2), 255–270.
McGaha, A. L., Schmittling, G. T., DeVilbiss Bieck, A. D., Crosley, P. W., & Pugno, P. A.
(2010). Entry of U.S. medical school graduates into family medicine residencies: 2009–
2010 and 3-year summary.
Family Medicine, 42(8), 540–551.
Mertz, E. A., Spetz, J., & Moore, J. (2017). Pediatric workforce issues.
Dental Clinics of North
America
, 61(3), 577–588.
Nash, D. A. (2009). Adding dental therapists to the health care team to improve access to oral
health care for children.
Academic Pediatrics, 9(6), 446–451.
National Resident Matching Program. (2017).
2017 Main residency match data. Washington, DC: National Resident Matching Program.
Needleman, J., Buerhaus, P., Mattke, S., Stewart, M., & Zelevinsky, K. (2002). Nursesta$ng levels and the quality of care in hospitals.
New England Journal of Medicine, 346,
1715–1722.
Nehring, W. M., & Lashley, F. R. (2004). Current use and opinions regarding human patient
simulators in nursing education: An international survey.
Nursing Education Perspectives, 25(5), 244–248.
Newhouse, R. P., Stanik-Hutt, J., White, K. M., Johantgen, M., Bass, E. B., Zangaro, G.,
… Weiner, J. P. (2011). Advanced practice nurse outcomes 1990–2008: A systematic
review.
Nursing Economics, 29(5), 1–21.
Nicholson, S. (2009).
Will the United States have a shortage of physicians in 10 years?
Princeton, NJ: Robert Wood Johnson Foundation.
Nicholson, S., Vujicic, M., Wanchek, T., Ziebert, A., & Menezes, A. (2015). !e e”ect of
education debt on dentists’ career decisions.
Journal of the American Dental Association, 146(11), 800–807.
Ormond, B. A., & Bovbjerg, R. R. (2011).
Assuring access to care under health reform: “e key
role of workforce policy
. Washington, DC: !e Urban Institute.
Pahel, B. T., Rozier, R. G., Stearns, S. C., & Quiñonez, R. B. (2011). E”ectiveness of preventive dental treatments by physicians for young Medicaid enrollees.
Pediatrics, 127(3),
e682–e689.
Palaganas, J. C., Epps, C., & Raemer, D. B. (2014). A history of simulation-enhanced interprofessional education.
Journal of Interprofessional Care, 28(2), 110–115.
Pew Charitable Trusts Dental Campaign. (2016). States expand the use of dental therapy:
Research and analysis. Retrieved from http://www.pewtrusts.org/en/research-and
-analysis/analysis/2016/09/28/states-expand-the-use-of-dental-therapy
EBSCOhost – printed on 3/11/2021 10:34 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
254 Part III. Medical Care: Treating Americans’ Medical Problems
Phoenix, B., Hurd, M., & Chapman, S. A. (2016). Experience of psychiatric mental health
nurse practitioners in public mental health.
Nursing Administration Quarterly, 40(3)
212–224.
Raymond, J. R., Kerschner, J. E., Hueston, W. J., & Maurana, C. A. (2015). !e merits and
challenges of three-year medical school curricula: Time for an evidence-based discussion.
Academic Medicine, 90(10), 1318–1323.
Richards, D. A., Hill, J. J., Gask, L., Lovell, K., Chew-Graham, C., Bower, P., … Barkham, M.
(2013). Clinical e”ectiveness of collaborative care for depression in UK primary care
(CADET): Cluster randomised controlled trial.
British Medical Journal, 347, f4913.
Richmond, H., Copsey, B., Hall, A. M., Davies, D., & Lamb, S. E. (2017). A systematic review
and meta-analysis of online versus alternative methods for training licensed health care
professionals to deliver clinical interventions.
BMC Medical Education, 17(1), 227.
Rosenthal, T. C. (2014). !e medical home: Growing evidence to support a new approach to
primary care.
Journal of the American Board of Family Medicine, 21(5), 427–440.
Sandberg, S. F., Erikson, C., & Yunker, E. D. (2017). Evolving health workforce roles in
accountable care organizations.
American Journal of Accountable Care, 5(2), 9–14.
Schommer, J. C., Cline, R. R., & Larson, T. A. (2005). Pharmacy looks to the future. In M. I.
Smith, J. E. Fincham, & A. Wertheimer (Eds.),
Pharmacy and the U.S. health care system
(pp. 417–443). London, UK: Pharmaceutical Press.
Seago, J. A., Spetz, J., Chapman, S., Dyer, W., & Grumbach, K. (2004).
Supply, demand, and
use of licensed practical nurses
. Rockville, MD: Bureau of Health Professions, Health
Resources, and Services Administration.
Sekscenski, E., Sansom, S., Bazell, C., Salmon, M. E., & Mullan, F. (1994). State practice
environments and the supply of physician assistants, nurse practitioners, and certi#ed
nurse-midwives.
New England Journal of Medicine, 331(19), 1266–1271.
Siler, W. L., & Randolph, D. S. (2007). A clinical look at clinical doctorates.
Audiology Today,
19(1), 22–23.
Skillman, S. M., Snyder, C. R., Frogner, B. K., & Patterson, D. G. (2016).
!e behavioral
health workforce needed for integration with primary care: Information for health workforce planning
. Seattle: University of Washington Center for Health Workforce Studies.
Spetz, J., Fraher, E., Li, Y., & Bates, T. (2015). How many nurse practitioners provide primary
care? It depends on how you count them.
Medical Care Research and Review, 72(3),
359–375
Spetz, J., & Parente, S. T. (2013). Nurse practitioner scope of practice and cost savings from
retail clinics.
Health A”airs, 32(11), 1977–1984.
Spetz, J., Phibbs, C. S., & Burgess, J. F. (2012). What determines successful implementation of inpatient information technology systems?
American Journal of Managed Care,
19(3), 157–162.
Stange, K. (2013). How does provider supply and regulation in$uence health care markets?
Evidence from nurse practitioners and physician assistants.
Journal of Health Economics, 33, 1–27.
Sumaya, C. (2012). Enumeration and composition of the public health workforce: Challenges and strategies.
American Journal of Public Health, 102(3), 406–474.
Trzebiatowski, G. L., & Peterson, S. (1979). A study of faculty attitudes toward Ohio State’s
three-year medical program.
Academic Medicine, 54(3), 205–209.
U.S. Bureau of Economic Analysis. (2017). Domestic product and income: Income and
employment by industry (interactive data application). Retrieved from https://bea.gov/
itable
U.S. Bureau of Health Professions. (2010).
!e registered nurse population: Findings from the
2008 National Sample Survey of Registered Nurses.
Rockville, MD: Health Resources and
Services Administration.
EBSCOhost – printed on 3/11/2021 10:34 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 9. The Health Workforce 255
U.S. Bureau of Labor Statistics. (2014). Union members—2013. Retrieved from http://www
.bls.gov/news.release/pdf/union2.pdf
U.S. Bureau of Labor Statistics. (2017). Employment projections and occupational outlook
handbook. Retrieved from https://www.bls.gov/emp/tables.htm
U.S. Census Bureau. (2014). National population projections: Summary tables. Retrieved
from https://census.gov/data/tables/2014/demo/popproj/2014-summary-tables.html
U.S. Department of Education. (2018). College a!ordability and transparency center.
Retrieved from https://collegecost.ed.gov/catc/Default.aspx#
U.S. Health Resources and Services Administration. (2016a).
National and regional projections of supply and demand for primary care practitioners: 2013–2025. Rockville, MD:
Author.
U.S. National Center for Education Statistics. (2015). Integrated postsecondary education
data system. Retrieved from http://nces.ed.gov/ipeds
U.S. National Center for Education Statistics. (2016). Digest of education statistics, 2015
(NCES 2016–014). Retrieved from https://nces.ed.gov/fastfacts/display.asp?id=76
Weiner, J. P., Yeh, S., & Blumenthal, D. (2013). “e impact of health information technology and e-health on the future demand for physician services.
Health A!airs, 32(11),
1998–2004.
Willard, R., & Bodenheimer, T. (2012).
“e building blocks of high-performing primary care:
Lessons from the #eld
. Oakland: California HealthCare Foundation.
Wing, P., O’Grady, E., & Langelier, M. (2005). Changes in the legal practice environment of
nurse practitioners.
American Journal for Nurse Practitioners, 9(2), 25–39.
Wishner, J. B., & Burton, R. A. (2017).
How have providers responded to the increased demand
for health care under the A!ordable Care Act?
Washington, DC: Urban Institute.
Wittich, C. M., Agrawal, A., Cook, D. A., Halvorsen, A. J., Mandrekar, J. N., Chaudhry, S., …
Beckman, T. J. (2017). E-learning in graduate medical education: Survey of residency
program directors.
BMC Medical Education, 17(1), 114.
Zacker, H. B. (2011). Creating career pathways for frontline health care workers.
Jobs to
careers: Transforming the front lines of health care
. Retrieved from http://beltlineorg.wpengine.netdna-cdn.com/wp-content/uploads/2013/07/J2C_CareerPathways_011011.pdf
Ziv, A. Wolpe, P. R., Small, S. D., & Glick, S. (2006). Simulation-based medical education: An
ethical imperative.
Simulation in Healthcare, 1(4), 252–256.
EBSCOhost – printed on 3/11/2021 10:34 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
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10
Health Care Financing
James R. Knickman
LEARNING OBJECTIVES
Understand trends in U.S. health care spending over time
Explain the flow of funds into the health system (who pays) and the flow
of funds through the system (how providers are paid)
Understand the major categories of services purchased
Differentiate between public and private spending and purchasing in
addition to the categories of health plan types within the public and
private systems
Explain how 2010 federal health reform legislation is changing the health
care financing system
Describe the major reimbursement mechanisms for health care services
KEY TERMS
accountable care organizations (ACOs)
capitated payments
consumer-driven health care
diagnosis-related groups (DRGs)
health maintenance organizations (HMOs)
medical savings account
payer mix
preferred provider organizations (PPOs)
© Springer Publishing Company DOI: 10.1891/9780826172730.0010
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

258 Part III. Medical Care: Treating Americans’ Medical Problems
TOPICAL OUTLINE
General overview of health care financing
What the money buys and where it comes from
How health insurance works
How providers are paid for the health services they deliver
Specialized payment approaches used by payers
INTRODUCTION
No matter what role an individual or an organization plays in the U.S. health care
system, the complex way we pay for health services in this country in!uences what is
done and how it is done. Most attempts to improve quality and e”ciency or to shift
resources from one type of health care to another
(e.g., from hospital care to primary care or from
acute care services to preventive services) also
are shaped by how these services are funded.
#is chapter explains the processes used
to pay for health care in the United States. It
sets the stage for the next chapter that focuses
on the concepts of “costs” and “value” and
addresses the di”cult question: How much should we spend on health care?
Over the past 5 to 10 years, there has been substantial !ux in our national
approach to paying for care. #e Obama administration’s ambitious Patient
Protection and A$ordable Care Act (ACA) of 2010 has extended health insurance coverage to large numbers of Americans—perhaps as many as 24 million
people—a$ecting both individuals and providers. But the Trump administration
has made many changes that have undone key parts of Obamacare and set a path
that likely will reduce the number of people covered by Obamacare. In addition,
ongoing national concern about the a$ordability of medical care has led to much
activity among payers—especially government payers—to %nd new payment
approaches that moderate expenditure growth trends. Even the Trump changes
are reactions in part to a$ordability; the newest changes likely will decrease the
price of insurance for healthy Obamacare enrollees but increase insurance prices
for unhealthy enrollees. Clearly, national opinion about a$ordability and %nancing challenges vary substantially in America.
#is chapter considers the types of care that are paid for, how individuals
go about paying for care, and how providers are paid. #e chapter also explains
the types of insurance and how each works, how the 2010 federal health reforms
changed %nancing, and how reimbursement systems have evolved for paying providers and creating incentives for quality and e”ciency. Finally, it describes emerging approaches for limiting the growth of health expenditures in the years to come.
The Department of Health
and Human Services
estimates that within a few
years as many as
1.4 million
people could be relying on
short-term policies.*
*To hear the podcast, go to https://bcove.video/2DZzYso or access the ebook on Springer Publishing ConnectTM.
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Chapter 10. Health Care Financing 259
GENERAL OVERVIEW OF HEALTH
CARE FINANCING
What do we mean by the “!nancing of health
care”? “is overarching question includes
not only how we pay for care, but also who
pays for care, how transactions between
users and providers are handled, and how
many total dollars are spent on care by an
individual and by the entire American population. If we think of health care as a service that people need to purchase, we !nd
that the approach used to purchase this service is far di#erent from the typical
approach for purchasing other kinds of services or commodities in our economy.
For most goods and services other than medical care (such as an automobile
or a massage), we use a simple payment system: If you want an item, you pay
money for it directly to the person producing the item or the service. Suppliers of
goods and services set prices they think make sense; if a purchaser/consumer is
willing to pay the price (sometimes there may be a bit of haggling), the transaction
happens and the purchaser buys the service. In the U.S. market-based economy,
the consumer needs only to have enough money to make the purchase, and the
transaction occurs with little intervention from the government or anybody else.
Health care is not a normal commodity or service, however, because of two
features:
■■ “e need for health care varies starkly from one individual to another: 20% of Americans use 80% of all health care dollars expended in any given year.
■■ “e cost of health care is very high, and many people could not a#ord it if they had
to pay cash each time they needed a service. For example, in 2011 a typical stay in a
hospital routinely costs more than $10,000 and can cost much more than that. An MRI
to diagnose the presence of a tumor could cost anywhere between $1,000 and $12,000,
depending on where it is done and who is paying for it.
To overcome the obstacle of high costs, the United States has developed an
insurance system that allows us to pay for services collectively. Put most simply,
we pool our risks for needing health care. In essence, each individual pays what
is called a premium to an insurance company, which is representing the average
annual costs of health care across the group of people covered by the insurance
company with an addition of a payment to cover the costs and pro!ts necessary
for the insurer. When these premiums are pooled across a population of people
(often employees of a company), there is enough money to pay the expenses of
the minority of people who need costly health care. In most years, the majority of
people who have health insurance use a blend of services that cost much less than
the dollars they put into the pool. In a year when someone has high health care
needs, however, that person bene!ts from being able to tap many more resources
from the insurance pool than he or she contributed that year.
If we think of health care as
a service that people need
to purchase, we !nd that the
approach used to purchase this
service is far different from the
typical approach for purchasing
other kinds of services or
commodities in our economy.
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260 Part III. Medical Care: Treating Americans’ Medical Problems
!is description greatly oversimpli”es how the “nancing system really works
across a range of dimensions. In fact:
■■ !ere are many types of health insurance; some are publicly paid for through taxes,
some are paid for by employers, and others are paid for by individuals directly.
■■ Insurance does not pay for the entire costs of an individual’s health care. Usually,
insurance pays only a share of the costs and the individual pays the rest. How this
copayment arrangement is structured varies greatly from insurance plan to insurance
plan and can be quite complex.
■■ When insurance becomes involved in the transaction between a service provider and
a user of the service, there are rules regarding which services the insurer will pay for
and how much it will pay for them. !ese insurance reimbursement rules also can
become incredibly complex and confusing and lead to con#ict between insurers and
the providers who get paid by the insurers.
■■ When people do not directly and fully pay for services, economists worry that they
will use more services than they need or that a provider will deliver more care than
needed. An insurance system must create incentives to avoid overuse and oversupply,
or systemwide expenditures could skyrocket.
!e U.S. health care “nancing system has evolved since World War II, when
the “rst health insurance products began to be marketed. In the 1960s, widescale public insurance programs were enacted: Medicare, which is insurance for
the elderly and the permanently disabled, and Medicaid, which is an insurancetype system for low-income Americans paid for in part by the federal government
and in part by state governments.
!e U.S. system of “nancing health care is quite distinct from those used in
other developed nations (see Chapter 4). Most other developed countries have
a system that involves a set of services to which every citizen is entitled, which
is paid for substantially by the central government. In these situations, private
insurance companies either help to manage the government-“nanced system or
o$er supplementary or alternative coverage.
!e emergence of insurance in the United States in the 1940s occurred as new,
more e$ective types of health care technology and practices were being developed. !e combination of insurance and rapidly expanding clinical advances led
to an expenditure explosion in the 1970s, which has continued ever since. In
1970, U.S. health expenditures totaled $74.9 billion and represented 7.2% of the
nation’s gross domestic product (GDP)—that is, 7.2% of all goods and services
purchased in our economy were health related. By 2020, health expenditures
are expected to reach nearly $4.4 trillion, or 19.2% of GDP (see Table 10.1 and
Figure 10.1).
!e health care “nancing system described above and that exists today largely
acts as if health care is an economic commodity essentially like other commodities and services that people buy with their income. !is perspective leads experts
and policy makers to explore how an “economic” market for health care needs to
be shaped, regulated, and nurtured.
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Chapter 10. Health Care Financing 261
TABLE 10.1 NATIONAL HEALTH EXPENDITURES (IN $ BILLIONS), SELECTED CATEGORIES AND YEARS: 1970–2020

TYPE OF EXPENDITURE ACTUAL PROJECTED
1970 2013 2020
Total national health expenditures $74.9 $2,914.7 $4,416.2
Total of all personal health care 63.1 2,452.3 3,717.8
Hospital care 27.2 929.0 1,397.4
Physician and clinical services 14.3 588.8 890.4
Prescription drugs 5.5 262.3 397.9
Program administration and net cost of private health
insurance
2.6 217.1 339.1

Sources: 2005–2015 data from Centers for Medicare & Medicaid Services; 1970 and 2000 data (Levit, K., Smith,
C., Cowan, C., Sensenig, A., Catlin, A., & !e Health Accounts Team. (2004). Health spending rebound continues
in 2002.
Health A!airs, 23, 147–159); 2020 data from National Health Expenditures Projections, 2017–2026 (Cuckler,
G. et al. Despite uncertainty, fundamentals primarily driving spending growth. (2018).
Health A!airs, 37[2].)
Many Americans—but not a politically e!ective majority to date—take a very
di!erent perspective. “ey see health care services as an inherent right, and they
see health care as such a complex service to provide that using economic market
thinking will never result in an e!ective system capable of keeping people healthy
and getting people better when they face health challenges.
At the current time, however, this idea is an aspiration that does not fundamentally currently shape the health #nancing system (Swendiman, 2010). However, many publicly #nanced health care programs described below do address
the idea that we need to facilitate access to care for people who have low incomes
and/or very serious illnesses.
1970 2016 2020
7.0% 18.2% 19.2%
FIGURE 10.1 U.S. NATIONAL HEALTH EXPENDITURE AS A SHARE OF GROSS DOMESTIC
PRODUCT: 1970–2020
Sources: 2005–2016 data from Centers for Medicare & Medicaid Services; 1970 and 2000 data (Levit,
K., Smith, C., Cowan, C., Sensenig, A., Catlin, A., & !e Health Accounts Team. (2004). Health spending
rebound continues in 2002.
Health A!airs, 23, 147–159); 2020 data from National Health Expenditures
Projections, 2017–2026 (Cuckler, G. et al. Despite uncertainty, fundamentals primarily driving spending
growth. (2018).
Health A!airs, 37[2].)
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262 Part III. Medical Care: Treating Americans’ Medical Problems
WHAT THE MONEY BUYS AND WHERE IT COMES FROM
If we consider all types of expenditures in the health system, the total
national bill in 2016 was $3.3 trillion, which represented 18.2% of the national
GDP that year (see Figure 10.1). !e overwhelming share of this money
($2.8 trillion, or 85%) paid for personal health care services to individuals,
whereas the balance paid for public health services, research, and administrative
costs associated with running the delivery and “nancing system (see Table 10.1).
Among personal health care services, 73% of expenditures focus on three types of
care: (a) hospital care, the largest type by far; (b) physician and other clinical services; and (c) prescription drugs. Administrative costs associated with running
the health insurance and other regulatory systems represent 9% of expenditures
for personal health care services.
How Individuals Pay for Health Care
We begin with basics, considering how individuals pay for health care when they
become ill or injured. In essence, there are two main ways an individual pays for a
service: (a) through the person’s insurance coverage or (b) with out-of-pocket cash
from income or savings. For people who are uninsured and have no money, there is
a third option: !ey can attempt to obtain the service free, as a charity case, often
through a safety-net provider. States have various laws about when providers must
give charity care, and the insurance system—especially public insurance—gives
providers some money to help reimburse them for the charity care they deliver.
People who have either a public or a private insurance policy usually can receive
services after showing their insurance card. !e provider then bills the insurance
company directly, although some providers demand that the individual pay the bill
when the service is provided, in which case the individual must seek reimbursement
from the insurer. If a person’s insurance will pay for only part of the bill, the individual is usually responsible for paying the balance at the time services are delivered.
HOW HEALTH INSURANCE WORKS
A range of insurance types cover di#erent subsets of the U.S. population. !e “rst
key di#erentiation among them is public programs versus privately sponsored
insurance products.
Public insurance programs include Medicare for the elderly and disabled;
Medicaid for low-income individuals; and other public insurance systems for lowincome individuals, such as the Children’s Health Insurance Program (CHIP),
which covers children who are ineligible for Medicaid. Other public insurance
programs cover veterans, public employees, members of the armed services and
their families, and Native Americans.
Private insurance coverage varies depending on who pays for it. Small employers can purchase coverage for their workers through commercial companies (such
as insurance companies like UnitedHealthcare, Aetna, or Kaiser Permanente).
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Chapter 10. Health Care Financing 263
Individuals who work for employers that o!er no coverage or who are self-employed
or unemployed may buy insurance through commercial companies. Individuals
also can buy insurance through the insurance exchanges established by the ACA.
“ese exchanges link individuals to a range of commercial insurance o!erings, and
the federal government subsidizes the premiums charged within the exchange for
families with earnings between 138% and 400% of the federal poverty level (FPL).
Large employers can buy coverage from commercial companies, or they can selfinsure. Large employers often can save substantial costs by self-insuring, which
they can do because they have so many employees that the risks balance out. When
an employer does self-insure, it usually engages a commercial insurance company
to manage the plan, make payments to providers, and enforce its rules.
Publicly Financed Programs
Medicaid
Medicaid originally was designed to assist recipients of public assistance—primarily single-parent families and low-income people who are aged, blind, or
disabled (see Chapter 3). Over the years, Medicaid has expanded to include additional groups and now covers poor children, their parents, pregnant women, the
disabled, and very poor adults (including those 65 and older). Much public attention is given to Medicaid’s role in covering children’s care; in reality, however,
64% of its expenditures support care for the 35% of enrollees who are elderly or
disabled (see Figure 10.2).
Medicaid is administered by the states, and state and federal governments
both #nance the program. Except for requiring coverage for certain types of services, the federal government gives states $exibility in implementing and administering Medicaid to best meet the needs of their residents. As a result, there are
many seemingly arbitrary di!erences in eligibility, coverage, and provider payment rates across states.
“e ACA has provisions to expand the range of services covered by each state
through the Medicaid program. “e ACA also uses federal funds to expand the
income eligibility for Medicaid to all individuals living in families with incomes below
138% of the FPL. However, court challenges to this provision have led to allowing
states to opt out of accepting federal funds to expand coverage. In 2018, 14 states had
chosen not to expand Medicaid eligibility (Kaiser Family Foundation, 2018).
A major change in Medicaid occurred when many states adopted a managed care approach in the early 1990s. In this payment strategy, the state usually
pays a #xed, or “capitated,” payment to an insurer, who then is responsible for
keeping average costs for Medicaid patients below this #xed payment level. It
has been di%cult, however, for many states to accrue savings using a managed
care approach. In most states, Medicaid already paid providers rates that were
below (sometimes signi#cantly below) commercial levels, and it was di%cult for
managed care insurers to reduce them further. Additional reductions would have
squeezed safety-net providers, which largely depend on Medicaid revenues, jeopardizing their #nancial viability.
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264 Part III. Medical Care: Treating Americans’ Medical Problems
CHILDREN
49%
DISABLED
15%
ADULTS
27%
ELDERLY
20%
MEDICAID
ENROLLEES
WHERE THE
DOLLARS GO
ADULTS
15%
CHILDREN
21%
ELDERLY
DISABLED
42% 22%
FIGURE 10.2 MEDICAID ENROLLMENTS AND EXPENDITURES: 2010
Medicare
Administered by the federal government, Medicare originally targeted people
aged 65 and over, but it was quickly expanded to cover people with disabilities
and severe kidney disease. To qualify, an individual must be a U.S. resident for
a speci!ed number of years and pay the Federal Insurance Contributions Act
(FICA) payroll tax for at least 10 years. “e entitlement was expanded in 1972 to
allow people who did not meet the latter requirement to pay a premium for coverage. Even though enrollment in Medicare has doubled since its passage, annual
expenditures have increased about 40-fold, making the federal government the
nation’s single largest payer of health care expenses.
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Chapter 10. Health Care Financing 265
Medicare has three key parts: Part A, which is hospital insurance; Part B,
which is supplemental medical insurance covering physician services and outpatient care; and Part D, which pays for a substantial share of pharmaceutical costs.
!e Balanced Budget Act of 1997 established the Medicare+Choice program,
designed to build on existing Medicare managed care programs and expand
options under Part B to include plans that o”er expansions in what services are
covered in return for restricted panels of providers that enrollees can use.
In the 1980s and 1990s, Medicare experienced a series of changes to its payment mechanisms, which appear to have had at least temporary impacts on
rising health care expenditures. In the 1980s, Medicare started paying hospitals
under a payment system that set #xed prices (varying by region and the intensity
of service required) for each stay in a hospital by a Medicare-covered patient
instead of the traditional approach of paying for each day spent in a hospital. By
the 1990s, Medicare also had started paying physicians di”erently, using #xed
payment schedules for di”erent types of physician services.
!e George W. Bush administration added pharmaceutical coverage to Medicare through the Medicare Modernization Act, passed in December 2003. !is
coverage was expanded for Medicare enrollees as a part of the ACA of 2010.
Other Public Programs
In addition to Medicaid and Medicare, the United States has a patchwork of government health care programs for special populations: active duty and retired military
personnel and their families, Native Americans, and injured and disabled workers.
PROGRAMS FOR ACTIVE DUTY AND RETIRED MILITARY PERSONNEL Historically, most health
care needs of active duty military personnel have been handled in military facilities, where retirees and families also could receive free treatment on a spaceavailable basis. U.S. Department of Defense spending on medical care more than
tripled from 1988 to 2005, rising from $14.6 billion to $49 billion.
!e Veterans Health Administration, the health care system of the Department
of Veterans A”airs (VA), operates the largest integrated health care system in the
United States, providing primary care, specialized care, and related medical and
social support services to U.S. veterans and their dependents. In recent years, the
VA has faced sti” criticism for its waiting lists for services due to a large number
of returning veterans from the Iraq and Afghanistan con$icts as well as the aging
of many veterans who served during the Vietnam War. !ere have been expanded
initiatives to allow veterans to use community-based services when they #nd it dif-
#cult to gain access to services provided directly by VA-run health care facilities.
THE INDIAN HEALTH SERVICE In 1921, the Snyder Act established a program of
health services for Native Americans, known today as the Indian Health Service
(IHS) and administered by the U.S. Department of Health and Human Services
(DHHS). Eligible participants are members of federally recognized Indian tribes
and their descendants. !e program’s budget is approximately $4 billion to $5
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266 Part III. Medical Care: Treating Americans’ Medical Problems
billion annually, and it serves approximately 2.2 million of the nation’s estimated
3.7 million American Indians and Alaska Natives (DHHS, IHS, 2016).
WORKERS’ COMPENSATION Workers’ compensation is an insurance system intended to
protect workers against the costs of medical care and loss of income resulting from
work-related injuries and, in some cases, illnesses. Underlying workers’ compensation is the premise that all job-related injuries, regardless of fault, are a result of
the risks of employment, and the employer and employee should share the burden
of loss. Workers’ compensation programs are operated by the states, each with its
own authorizing legislation and requirements. “e #rst such law was enacted in
New York in 1910; by 1948, all states had a workers’ compensation program.
Privately Financed Health Care
“e private share of health care expenditures is made up of direct payments by
individuals (representing 11% of total expenditures) and payments made by private insurance companies (representing 34% of expenditures). Public payments
represent the balance at 55%.
Employer-Based Insurance
During the Great Depression, hospitals found that most Americans could not
a$ord to pay their bills. “e hospital industry, through the American Hospital
Association, supported the growth of the #rst major health insurers: the Blue
Cross plans in each state that pay for hospital care and the Blue Shield plans that
pay for physician and other outpatient services. Over time, these nonpro#t insurers had to compete with for-pro#t insurance companies, which emerged during
World War II when unions began #ghting for medical insurance to be part of
employee bene#ts packages.
Growth in the health insurance market was a by-product of wartime wage
and price controls; because wages couldn’t be increased, enhanced bene#ts packages were one way unions and employees could obtain increased compensation.
Growth accelerated after a decision by the Internal Revenue Service that employers could take a tax deduction for the cost of employee health insurance. “e
growing costs of health care, of course, would have led to increased private or
public insurance coverage eventually.
During the next several decades, the employer-based health insurance system
became increasingly entrenched. By the end of 2002, more than 64% of Americans received health insurance through their employer (Glied & Borzi, 2004).
Since then, the percentage of Americans obtaining employer-based health insurance has slowly but steadily decreased, reaching 61% in 2008 and 49% in 2016.
The Individual Insurance Market
Although employer-based insurance dominates the private health insurance sector,
a signi#cant number of people must arrange and pay for health insurance on their
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Chapter 10. Health Care Financing 267
own. !e Employee Bene”t Research Institute found that, in 2014, even though
more than 160 million nonelderly Americans were covered by employment-based
health bene”ts, about 34 million purchased coverage for themselves and family
members in the individual market (Fronstin, 2015). As implementation of insurance exchanges supported by the ACA began in 2014, however, individual coverage grew quickly—totaling 8 million people the “rst year of the exchanges, with an
expectation that this number could grow to 24 million by 2024. !is growth is due
in part to the substantial premium subsidies supported by the ACA and to a mandate that, until redesigned by the Trump administration, imposed tax penalties on
people who did not have insurance coverage. !e ACA o#ers substantial subsidies for many Americans to purchase insurance as individuals. Almost 14 million
people purchased subsidized private insurance after the law was implemented in
2014 and the number is expected to grow to at least 16 million.
Consolidated Omnibus Budget Reconciliation Act
!e Consolidated Omnibus Budget Reconciliation Act (COBRA) of 1985 attempts
to reduce gaps in insurance coverage for individuals who are between jobs. !e
act requires employers to extend health insurance bene”ts to former employees
for up to 18 months. Depending on qualifying circumstances, coverage may be
extended for a spouse or dependent children for up to 36 months. Employees
generally pay the entire premium for the coverage.
COBRA coverage can be expensive because many employers o#er insurance that is generous in scope. It is likely that policies o#ered by the insurance
exchanges will be less expensive than COBRA for many people, so COBRA might
represent a diminishing share of insurance coverage over time.
HOW PROVIDERS ARE PAID FOR THE HEALTH SERVICES
THEY DELIVER
Insurance Payments
Most services delivered by medical care providers are paid for through the complex insurance system described in the previous section. In the case of public
payers (mostly Medicare and Medicaid),
payment rates for providers are “xed by
a complex set of rules and formulas set
in place by public policy. !e rates are in
essence a “take it or leave it” o#er from the
federal government. In recent years, as public insurance rates have either decreased or
not increased as fast as health care in$ation,
a number of providers have stopped serving
Medicare or Medicaid patients.
In recent years, as public
insurance rates have either
decreased or not increased as
fast as health care in!ation,
a number of providers have
stopped serving Medicare or
Medicaid patients.
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268 Part III. Medical Care: Treating Americans’ Medical Problems
Private insurers go through a negotiation process with hospitals, physicians,
and other providers to establish what will be paid by the insurer for each type of
service. !ese negotiations can be quite complex and quite heated as both the
payer and the provider seek favorable rates. Physicians often have less clout in
these negotiations than hospitals unless they are organized into large groups or
are in communities with physician shortages. In most areas, there are enough
physicians to give insurers the upper hand in bargaining. !e di”culty of negotiating good rates is one factor driving physicians to either join
preferred provider
organizations
(PPOs) or to take salaried positions within hospital systems or in
large corporate medical practices.
!e various approaches to paying physicians used by Medicare, Medicaid,
and private insurers have resulted in decreased payments to many physicians and
falling or static incomes for many types of physicians over the past 5 to 10 years.
In addition to tighter payment approaches, the recession of 2008–2010 decreased
the demand for physician services. More people were uninsured and very price
sensitive during the di”cult economic times, and volumes have not recovered
since that period.
Hospitals, by contrast, often have good negotiation positions because there
are fewer hospitals in each community, and many people insist on having access
to hospitals they perceive as high in quality. Smaller hospitals or community hospitals that are not academic medical centers sometimes have substantially less
negotiating power. Just like physicians, however, hospitals have felt intense pressure on revenues since the recession of 2008–2010.
Any provider that does not negotiate rates with an insurer through a contract is considered an out-of-network provider by that insurer. Often, insurers do
not reimburse patients who use out-of-network providers, or they provide only
a speci#ed amount and make the patient responsible for the di$erence between
this amount and a hospital’s charges.
In general, actual payment rates vary markedly across types of payers. Private
insurers often pay the best rates because of the negotiation process; Medicare
pays the second-highest rates generally, and Medicaid payment rates tend to be
lowest. One exception to this pattern is federally quali#ed health centers, which
often care for low-income people and have high reimbursement rates paid by
public payers. !ese high rates re%ect a priority to ensure access to care for lowincome people and to compensate for what is often higher-than-average health
care complexity for populations served by community health centers.
!e #nancial viability of any given hospital, physician, or other provider often
is crucially associated with the
payer mix among the provider’s patients. Providers that do not have a healthy share of patients covered by private insurance
sometime have a di”cult task covering costs.
Payments Made Directly by Patients
!e other key source of reimbursement in health care comes directly from
payments made by individuals. Individuals without insurance must pay cash
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Chapter 10. Health Care Financing 269
for services, and individuals who use outof-network providers also must pay cash
and then seek reimbursement from their
insurers. In recent years, an increased
number of physicians have decided to be
out-of-network providers, putting more
payment responsibility on individual
patients. !is is particularly the case for
specialty physicians in urban markets who
serve wealthy patients and even more so for physicians who have reputations
for high quality.
On the payer side, insurers also are contributing to the growth in out-ofnetwork providers as insurers move to so-called narrow networks of providers
with whom they contract. Insurers are “nding that they can o#er lower rates if
they concentrate their business among a small set of providers. Increasing numbers of consumers and employers seem willing to trade the right to select from
a large network of providers for the opportunity to pay less for insurance. Most
notably, the insurance products o#ered in the insurance exchanges set up by the
ACA most often o#er only access to narrow networks.
!e prices charged by providers, especially hospitals, have become increasingly controversial. Many hospitals set very high rates for the relatively few
patients who pay out of pocket for hospital care. In addition, these rates are
rarely transparent; most patients are not told what care will cost until after they
have received the care. Such practices have spurred a movement pushing for
more transparency of prices charged by hospitals and more logic to the basis for
setting prices.
SPECIALIZED PAYMENT APPROACHES USED BY PAYERS
Over the past 30 years, many new payment approaches have been developed in
the attempt to achieve two goals: (a) reduce the high rate of year-to-year cost
in$ation in health care and (b) create incentives for providers to deliver higherquality care and to use more e%cient practices to manage patient care. !e elusive
sweet spot in the design of payment approaches is to pay providers adequately to
deliver high-quality, needed services but to create incentives for both providers
and patients to avoid overusing care and to devote attention and resources to
keeping people healthy.
!is chapter describes some of the historical and current approaches to
reimbursement of providers. Chapter 11 describes many of the current new
approaches to reimbursement that are being tested and tried around the country.
!e approaches to reimbursement that have evolved historically over the
years fall into three broad categories: (a) managed care; (b) consumer-driven care
and high deductibles; and (c) “xed payment approaches—diagnostic groups, prospective payments, and bundled payments.
In recent years, more and more
physicians have decided to
be out-of-network providers,
putting more payment
responsibility on individual
patients.
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270 Part III. Medical Care: Treating Americans’ Medical Problems
Managed Care
!e biggest change in the privately “nanced portion of the U.S. health care system over the last three decades is the shift toward various forms of managed care:
prepaid health plans, PPOs, and
accountable care organizations (ACOs). Large
businesses and government payers steered this shift in an attempt to reduce their
health insurance costs.
Prepaid Health Plans
Managed care plans structure and reimburse care di#erently than conventional
insurance. Very strict managed care plans, such as
health maintenance organizations (HMOs), receive capitated payments and control which providers
participate in their network. Capitated payments are “xed monthly or annual
payments for each person for whom an insurer and/or a provider is responsible
to deliver care, regardless of the amount and kinds of services eventually needed.
HMOs also often require primary care physicians to be gatekeepers to other types of
services by requiring referrals for diagnostic
tests and specialty care.
!e theory was that capitation would
encourage providers to think more carefully about the necessity of costly tests and
procedures and discourage unnecessary
referrals to expensive specialists. After all,
in a world of capitated payments, providers actually lose money every time they deliver a service rather than making
additional money. Despite capitation’s limits on reimbursement, providers were
expected to participate because they would have a captive audience of patients—
in other words, they could make up any reimbursement shortfall by having
increased numbers of patients. Patients, in return for giving up the freedom to
use whichever physician or hospital they chose, would receive more organized
care, with specialist and primary care more e#ectively coordinated. And, they
often face fewer deductibles and copayments when they use providers in a prepaid health plan.
HMOs often act as both the insurer and the provider of services. However,
HMOs use a range of approaches to providing services. Some employ physicians
and own hospitals, whereas others contract with networks of physicians and with
local hospitals. !e best known HMO, Kaiser Permanente, uses a de”ned network of salaried physicians and owns its hospitals.
In the late 1990s, after a period of high-cost in$ation, less-organized
approaches to managed care began to spread widely. Consumers began to dislike these approaches, however, because they perceived many features as overly
restrictive. !ey wanted to choose their own physicians, resented specialty care
gatekeeping and other managed care hassle factors, and demanded more plan
The theory was that capitation
would encourage providers to
think more carefully about the
necessity of costly tests and
procedures and discourage
unnecessary referrals to
expensive specialists.
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Chapter 10. Health Care Financing 271
options. Consumers complained loudly to employers, who eventually moved
toward o!ering less tightly controlled plans, which were not capitated for providers. “is trend was in stark contrast to Medicaid managed care, which enrolls
about two-thirds of Medicaid recipients nationwide into capitated programs in
order to control spending. Similarly, some states are moving toward using managed care plans exclusively for Medicaid recipients.
Today, most consumers choose not to enroll in HMO plans. Only in California and, to a lesser extent in the other West Coast states, do HMOs represent a
signi#cant share of the insurance and service delivery market. In many areas of
the country—including most of the eastern half—HMO penetration is minimal.
Many seniors, however, enroll in Medicare Advantage insurance options that
often operate like HMOs or tightly organized managed care plans.
Preferred Provider Organizations
At the unstructured end of the managed care spectrum are PPOs, rapidly growing organizations that encourage plan members to use a list of physicians with
whom they have negotiated discounts and who sometimes work collaboratively
as a$liated physician practices. Narrow networks are an o!spring of the PPO
concept and generally involve little if any coordination across providers in what,
in essence, is a list of providers that have accepted an insurer’s payment rate o!er.
Insured members who use a PPO or a narrow network are rewarded with lower
out-of-pocket costs (deductibles, copays, and coinsurance). Patients who use an
out-of-network provider often pay the di!erence between the insurer’s reimbursement rate and whatever the physician charges. In strict forms of narrow
network plans, an insurer pays nothing if an out-of-network provider is used by
a covered patient.
Consumer-Driven Health Care and High Deductibles
Approaches to insurance that focus on making consumers sense price signals
when they purchase health care is often called
consumer-driven health care.
“is reimbursement idea generally involves setting a high deductible that individuals must pay before they receive insurance bene#ts. In some cases, costs of
care during a deductible period can be paid by a
medical savings account that
employers or employees set up for health-related costs.
In many ways, consumer-driven health care—which puts individuals at risk
to pay the bulk of everyday health care and pharmaceutical needs—o!ers a stark
alternative to the managed care option. In consumer-driven health care, patients
have free choice about who they receive care from but face sizable personal #nancial risk for deductibles and high prices of health care. “is #nancial risk is particularly di$cult for people with chronic health conditions.
Another form of copayment that represents consumer-driven health care
is called reference pricing. “is system involves a payer exploring the range of
prices charged by di!erent providers for a speci#c service in a given community.
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272 Part III. Medical Care: Treating Americans’ Medical Problems
!e payer then identi”es a subset of providers that charge a average or lower than
average prices and have good health outcomes. !e payer can set this price as
the reference price and establish a rule that people covered by the insurance plan
receive no more than the reference price as a reimbursement, even if they choose
a provider that charges more than the reference price. !e aim of this system is
to force high-price providers to rethink how they manage the procedure in question and how they can reduce the costs of providing the service and to provide
a strong incentive for consumers to choose an e#cient provider. Providers that
do not lower prices will lose business to the lower-cost providers—as happens in
most markets for goods and services in our economy.
One “nal feature of consumer-driven health care is a set of e$orts to make
health care costs more transparent to the user of the services and to improve
access to medical care. For example, in some cases this type of plan insists that
payers set “xed prices, which enrollees can be made aware of, before a service is provided. Other features include greater use of email and phone calls
to facilitate patient–provider interaction and walk-in hours that allow patients
to see a provider on the same day they become ill. Many e$orts to improve
price transparency are not led by insurers or providers but by government and
consumer-oriented organizations reacting to complaints from patients that they
do not realize the price they will have to pay until after a medical care service is
provided.
Fixed Payment Approaches
Diagnosis-Related Groups
One of the “rst examples of a reimbursement approach aimed at creating incentives for providers to be e#cient was the 1981 Medicare hospital reimbursement
system that dramatically altered the way hospitals were paid for the services they
delivered. !e
diagnosis-related group (DRG) system set rates prospectively—
that is, a payer said up-front that it would pay a “xed amount for the hospital
stay of a patient with a speci”c diagnosis and no more (with some outlier exceptions), no matter how much the patient’s care eventually cost or how long the
hospitalization turned out to be. Fixed payments give hospitals a powerful incentive to increase e#ciency, minimize unnecessary tests and services, and shorten
patients’ hospital stays.
Bundled Payment Rates
In concept, the early idea of DRGs is being expanded by the emerging concept
of bundled payments, which pay both the physician and the hospital a “xed
amount to provide an episode of care or, in the case of patients with chronic
conditions, a speci”ed time period of care. !e details about how bundled payments are structured and about early evidence of how they reduce costs is covered in Chapter 11.
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Chapter 10. Health Care Financing 273
Prospective Payment Rates for Physicians and Other Providers
A companion idea to DRGs was the Medicare program’s approach to using standardized principles to set rates for di!erent specialists and for patients with different medical needs. “e system is called the resource-based relative value scale
(RBRVS) (Hsiao et al., 1988). Rates are determined through detailed research
measuring the expected time and other resource inputs that physicians need to
deliver a speci#c service.
Each state’s Medicaid program also developed physician reimbursement rates,
generally adopting the federal approach of using formulas to set rates rather than
negotiate with physicians. Medicaid rates are often much lower than Medicare
rates for the same services. “e ACA mandates that state Medicaid programs
raise physician reimbursement rates to at least 60% of the rates paid by Medicare.
“is provision is designed to increase the number of physicians willing to care for
Medicaid patients.
CONCLUSION
“e American approach to paying for health care has become incredibly complicated. It is complicated for consumers, for providers, and even for payers. “e
complexity is due to the di$cult task of making sure payment approaches do not
result in over- or underuse and supply of medical care by people with insurance.
For almost 50 years, we have been constantly experimenting with new ideas for
reimbursement approaches that work better for all of the parties involved.
But payment strategy is not the only challenge related to #nancing. Of equal
concern is that 5% of people living in America have no insurance coverage, and
this percentage could grow over the next few years if the ACA unravels. Our
health system will continue to require a safety net for the vulnerable and the
uninsured no matter what evolves. A world of tight reimbursements will make it
increasingly di$cult for hospitals and other providers to pay for safety-net care
by shifting dollars from other payers and revenue sources.
What will happen if federal health reform does not achieve the anticipated
expansions of access and control over the growth in health care costs? One of two
radical options will most likely emerge: (a) collapse of the private approach to
health care #nancing, which would lead to a single-payer public system like those
in most other parts of the developed world (see Chapter 4), or (b) the emergence
of a three-tiered system of care that maintains great access to care for wealthy
Americans with comfortable incomes but restricts access moderately for middleincome Americans and rations care brutally for low-income Americans. Either
option goes against fundamental principles engrained in U.S. history and politics:
free enterprise on one hand and equality and equity on the other. “e task of
implementing a 21st-century #nancing system that will endure must engage new
thinkers, new leaders, and new researchers who can reinterpret these principles
in light of current realities.
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274 Part III. Medical Care: Treating Americans’ Medical Problems
DISCUSSION QUESTIONS
1. What complications does our current !nancing system cause for providers of care?
2. What complications does our insurance system cause for individual consumers?
3. What are some of the promising new approaches to changing our health system so
that it has incentives to provide more e”cient care?
4. Some people view increases in health care spending as a response to consumer demand,
whereas others see these increases as potentially wasteful spending. When other
industry sectors consume a rising share of GDP, it is viewed as a positive development.
Should we be concerned about the rising cost of health care and its share of our GDP?
What types of health care spending might be classi!ed as valuable? As wasteful?
REFERENCES
Cuckler, G. et al. (2018). National Health Expenditures Projections, 2017–2026. Despite
uncertainty, fundamentals primarily driving spending growth.
Health A!airs, 37(2).
https://doi.org/10.1377/hltha!.2017.1655)
Fronstin, P. (2015, October).
Sources of health insurance coverage: A look at changes between
2013 and 2014 from the March 2014 and 2015 current population survey
(EBRI Issue
Brief No. 419). Washington, DC: Employee Bene”t Research Institute.
Glied, S. A., & Borzi, P. C. (2004). #e current state of employer based health care.
Journal of
Law, Medicine and Ethics
, 32, 404–409. doi:10.1111/j.1748-720X.2004.tb00150.x
CASE EXERCISE—BECOMING AN ACCOUNTABLE CARE
ORGANIZATION VERSUS NOT BECOMING AN ACCOUNTABLE
CARE ORGANIZATION
You are the chief executive of!cer of a large, technology-intensive hospital in a community of
200,000 people. The community includes two other, smaller community hospitals and a wide
range of physicians and other providers working in private practice. Currently, you are paid a
!xed amount by Medicare—the federal insurance program for the elderly—for every eligible
admission to your hospital, based on the severity of the patient’s needs. Physicians and other
providers in your community are paid fee-for-service.
The federal government has offered to form an accountable care organization (ACO) in
your community that could accept a capitated annual payment for each person eligible for
Medicare. Answer the following questions:
1. How would you go about deciding whether to accept the government’s offer?
2. Would you want to lead the ACO or just be a part of it?
3. Would you argue for or against accepting the federal offer? Why?
4. If you wanted to proceed and lead the effort to form an ACO, how would you coordinate
with the other local hospitals and providers?
5. How might you change the way care currently is organized in your community, given the
new !nancial incentives embedded in a capitated rate?
t
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Chapter 10. Health Care Financing 275
Hsiao, W. C., Braun, P., Becker, E. R., Causino, N., Couch, N. P., DiNicola, M., & Douwe, B. Y.
(1988).
A national study of resource-based relative value scales for physician services:
Final report to the Health Care Financing Administration
(Publication 17-C-98795/
1–03). Boston, MA: Harvard School of Public Health.
Kaiser Family Foundation. (2018). Status of state action on the Medicaid expansion decision.
Retrieved from http://kff.org/health-reform/state-indicator/state-activity-aroundexpanding-medicaid-under-the-a!ordable-care-act
Levit, K., Smith, C., Cowan, C., Sensenig, A., Catlin, A., & “e Health Accounts Team. (2004).
Health spending rebound continues in 2002.
Health A!airs, 23, 147–159. doi:10.1377/
hltha!.23.1.147
Swendiman, K. S. (2010)
Health care: Constitutional rights and legislative powers (R40826).
Damascus. MD: Penny Hill Press, Damascus, MD: Congressional Research Service.
U.S. Department of Health and Human Services, Indian Health Service. (2016).
IHS fact
sheets, IHS Pro”le
. Washington, DC: Author.
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11
Health Care Costs and Value
David C. Radley and John Marchica
LEARNING OBJECTIVES
Understand contributing factors to the growth in health care costs in the
United States over the past 60 years
Explain value in terms of health care
Recognize conflicts embedded within the health care delivery system that
drive up costs and reduce value
Identify why attempts at cost control have not succeeded
KEY TERMS
accountable care organizations (ACOs)
bundled payments
electronic health records (EHRs)
fee-for-service payment models
overscreening
waste
TOPICAL OUTLINE
Spending levels and cost growth
Defining and measuring value in health care
Cost drivers and barriers to achieving value
Initiatives to address expenditure/value tradeoffs
Value-based payment models
Delivery system reform
State-driven value-based initiatives
© Springer Publishing Company DOI: 10.1891/9780826172730.0011
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

278 Part III. Medical Care: Treating Americans’ Medical Problems
INTRODUCTION
!is chapter focuses on value—the intersection between spending, quality, and outcomes—in health care. Delivering high-quality health care at a cost that is sustainable
over time is a pressing issue in the United States.
In 2016, Americans spent $3.3 trillion, nearly one-
“fth of all economic activity in the United States
and equal to about $10,400 per person on
health care (Hartman, Martin, Espinosa, Catlin, & National Health Expenditure Accounts
Team, 2018). We spend more on health care in
this country than other industrialized nations,
yet the quality of the care delivered and subsequent patient outcomes are not notably better
(Reinhardt, Hussey, & Anderson, 2004). As the
U.S. population ages and new tests and treatments are developed, increased pressure
to spend more will inevitably be passed along to federal, state, and local governments
as well as to our nation’s businesses and families. !is chapter explores the idea of
value in health care by describing health care spending levels and trends and discussing the implications of spending growth; discussing the reasons spending levels are
high, sometimes to the detriment of care quality; and presenting ideas and current
tactics to lower costs in ways that enhance the payo#s from our health spending.
SPENDING LEVELS AND COST GROWTH
In 1960, several years before the implementation of our major public insurance
programs, national spending on health care totaled about $221 billion in current
(2016) dollars. (Actual spending in 1960 was $27.2 billion, but there has been
natural in$ation in the economy over time. At today’s in$ation-a#ected prices,
this $27.2 billion is equivalent to $221 billion. We present the in$ation-adjusted
“gures when referring to 1960 expenditures in order to focus on “real” changes
in spending.) On a per capita basis, this 1960 spending equaled $1,184 per person in in$ation-adjusted dollars. Per capita spending grew 775% in real terms
between 1960 and 2016, reaching nearly $10,348 per person in 2016. Importantly,
the average annual growth in health care spending between 1960 and 2016 was
about 9%, whereas nominal gross domestic product (GDP) growth during this
period was 6.5%—meaning that health care spending grew substantially faster
than other economic activity over the past “ve decades.
1
1Analysis of historical National Health Expenditure (NHE) data, prepared by Centers for
Medicare & Medicaid Services (CMS), Office of the Actuary, National Health Statistics Group,
and available at https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trendsand-Reports/NationalHealthExpendData/index.html. Inflation adjustments made using 1960
and 2016 CPI-U (Consumer Price Index for Urban Consumers) estimates, available at https://
www.bls.gov/cpi/tables/supplemental-files/historical-cpi-u-201804.pdf
Life expectancy in the
United States is up, as is the
medical profession’s ability to
diagnose and treat disease,
which are undeniable
bene!ts. But other countries
have experienced similar
gains without incurring the
same rising costs.*
*To hear the podcast, go to https://bcove.video/2PnH2kM or access the ebook on Springer Publishing ConnectTM.
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Chapter 11. Health Care Costs and Value 279
A common way to think about health care spending is to put it in terms of
GDP. Health care spending currently accounts for almost one-!fth of all economic activity in the United States, or 17.9% of GDP. Since 1960, health spending
as a share of GPD has more than tripled, with an overall steady rise marked by
periods of “at and accelerating growth (Figure 11.1).
A key issue is whether we should be concerned about how health care spending has grown over the past half century. Life expectancy has also increased
during that time, and we’ve seen staggering advancements in our ability to detect
and treat disease—higher spending simply re”ects the investment made to
support progress. While the evolution in medical science is undeniable, it is not
a uniquely American phenomenon.
Certainly other nations have experienced increased health care spending, but
the United States is unique in the degree of its increase—far outpacing even the
nation with the second largest growth. In 1980, the United States devoted more
of its GDP to health care spending (9%) than other developed nations, but the
di#erence was not extraordinary. $e United States, however, was on a di#erent
trajectory, and by 2014, U.S. spending as a share of GDP far exceeded that for
other comparable nations (Figure 11.2).
If the United States spent signi!cantly more on health care and received signi!-
cantly better health outcomes, then health care cost growth might not be considered
problematic. However, according to the Organisation for Economic Cooperation
and Development (OECD), the United States ranks 26th out of 35 member countries for life expectancy and just below the OECD average for life expectancy. Nolte
and McKee (2012), in tracking deaths before age 75 from conditions largely treatable
FIGURE 11.1 NATIONAL HEALTH EXPENDITURES AS A SHARE OF GROSS DOMESTIC
PRODUCT (GDP): 1960–2016
8 6 4 2 0
10
12
14
16
18
20
1960
1962
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
2016
Percent of GPD
5.0%
17.9%
Source: National Health Expenditures Historical Data, Centers for Medicare & Medicaid Services, O!ce
of the Actuary, National Health Statistics Group.
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280 Part III. Medical Care: Treating Americans’ Medical Problems
with timely and e!ective health care—a measure called mortality amenable to
health care—found that while deaths from health care treatable conditions have
fallen in the United States, the rate of progress is slower than in three comparison
nations: France, Germany, and the United Kingdom. And in a recent comparison
of health system performance in 11 high-income countries,
2 Schneider and
colleagues (Schneider, Sarnak, Squires, Shah, & Doty, 2017) found that the United
States lagged signi”cantly behind peer nations. #e report looked at 72 performance
metrics grouped into “ve dimensions and found that the United States ranked last
or near last in
health care access, administrative e!ciency, equity, and patient and
population health outcomes
, and in its top-performing domain, care processes, the
United States still only ranked in the in the middle of the pack (Schneider, Sarnak,
Squires, Shah, & Doty, et al., 2017). On measures of outcomes and overall health
system performance, therefore, it does not appear the U.S. system is getting results
for its increased spending.
#ere are other reasons to be concerned about spending levels that hit closer
to home. #e federal government, state and local governments, and our nation’s
employers bear a great deal of the burden associated with high and growing health
care costs. Increasingly, these costs are also being shifted to patients/consumers
2Australia, Canada, France, Germany, Netherlands, New Zealand, Norway, Sweden, Switzerland, United Kingdom, and United States.
FIGURE 11.2 HEALTH CARE SPENDING AS A SHARE OF GROSS DOMESTIC PRODUCT (GDP)
IN THE UNITED STATES WITH INTERNATIONAL COMPARISON: 1980–2014
Percent of GPD
8 6 4 2 0
10
12
14
16
18
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
United States
Select OECD Countries
Australia, Canada, France, Germany,
Netherlands, New Zealand, Norway,
Sweden, Switzerland, and United Kingdom
Source: Schneider, E. C., Sarnak, D. O., Squires, D., Shah, A., & Doty, M. M. (2017). Mirror, mirror 2017:
International comparison re!ects !aws and opportunities for better U.S. health care
. New York, NY: !e
Commonwealth Fund.
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Chapter 11. Health Care Costs and Value 281
in the form of higher insurance premiums and higher coinsurance, making even
necessary care less a!ordable for many.
“e federal government, each state government, and many local governments spend a great deal of their tax revenues on health care. “e federal government #nances (a) the Medicare program, which provides insurance for elderly
and many permanently disabled Americans; (b) more than half of the Medicaid
program, which pays for health care received by low-income Americans; (c) Veterans A!airs and Department of Defense health care expenses; and (d) the costs
of extensive research, public health, and training activities. State governments
pay for as much as half of the Medicaid program directly as well as for extensive
activities in public health and regulation. Local governments generally support
public health expenditures and some safety-net medical care. Governments at all
levels are also purchasers, providing subsidized health insurance to millions of
public employees across the country.
3
In 1963, federal, state, and local governments #nanced only about $6 billion
(equivalent to about $46 billion today) of total health care spending. “is spending represented about 3% of total public spending. By 2012, governments were
spending nearly $1.2 trillion (of the $2.8 trillion total) on health care, comprising more than 19% of total public spending.
“ere are two key concerns with this growth
in government costs. First, these costs are
putting a great strain on taxes paid by workers and employers, and this strain is seen
by many as decreasing the vibrancy of our
economy. Second, the large share of tax dollars allocated to health care is crowding out
expenditures on other important needs in
our economy, such as education and infrastructure. “is is especially true at the
state and local levels, where government spending on health has increased by
154% over the past 40 years but expenditures on education have been “crowded
out” and increased by just 74% over the same period.
Health care costs are not purely a public #nance issue, however. Private businesses—which purchase health insurance for employees and their families—
frequently cite increasing costs as problematic. For example, the cost of health
insurance was cited as the top concern of small business owners in 2008 and 2012
(Wade, 2012). As a result, as health insurance costs have increased, employers
provide fewer salary increases because resources are instead devoted to increased
health insurance costs (again, health expenditures are “crowding out” expenditures on salaries). Additionally, fewer employers continue to o!er group health
insurance to employees—or they limit dependents of employees who can access
coverage. For example, in August 2013, United Parcel Service began excluding
3Expenditures made to purchase insurance for public employees is counted in NHE estimates
as private insurance costs, which are distinct from direct payments by federal and state governments for health care services received by Medicare and Medicaid beneficiaries.
The large share of tax dollars
allocated to health care is
crowding out expenditures on
other important needs in our
economy, such as education and
infrastructure.
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282 Part III. Medical Care: Treating Americans’ Medical Problems
health insurance coverage for spouses with access to health insurance at their
own places of employment. Buchmueller, Carey, and Levy (2013) found that even
though employers o!ered health insurance to more than 112 million employees
in 2000, this number had declined to 108 million employees in 2011, or 4% fewer
workers covered in one decade. Studies “nd that increasing health insurance
costs decreases full-time employment and decreases hours worked for employees
who work part time (Baicker & Chandra, 2005; Sood, Ghosh, & Escarce, 2009).
Health care costs are implicitly part of national discussions about unemployment
and job creation.
Health spending also is a burden on American families, which—despite the
large expenditures by government and employers—also pay a sizable amount for
health care in their family budgets. Table 11.1 shows how a typical family allocates its income across di!erent types of expenditures. In 2016, total health care
spending (including insurance premiums and direct medical costs) actually paid
by the typical family was $4,612, which ranks it the fourth largest item consumed,
only behind housing, transportation, and personal insurance/pensions (e.g., life
insurance and retirement savings).
But the typical family is not every family. Families without insurance coverage, or even those with coverage but who remain underinsured—meaning
they have health insurance that fails to provide adequate “nancial protection—
and families that include someone with a chronic disease tend to spend a much
larger share of after-tax income on health care. In 2015, the average single-person
TABLE 11.1 AVERAGE ANNUAL AFTER-TAX EXPENDITURES BY CONSUMER UNITS/HOUSEHOLDS: 2016

AVERAGE ANNUAL
EXPENDITURES IN
DOLLARS: 2016
SHARE OF ANNUAL
EXPENDITURES
CHANGE FROM
PREVIOUS YEAR
Housing 18,886 33.0% 2.6%
Transportation 9,049 15.8% –4.8%
Personal insurance and pensions 6,831 11.9% 7.6%
Health care 4,612 8.0% 6.2%
Food at home 4,049 7.1% 0.8%
Food away from home 3,154 5.5% 4.9%
Entertainment 2,913 5.1% 2.5%
All other 2,605 4.5% 0.0%
Cash contributions 2,081 3.6% 14.4%
Apparel and services 1,803 3.1% –2.3%
Education 1,329 2.3% 1.1%
Total 57,312

Source: 2016 Consumer Expenditure Survey, U .S. Department of Labor, Bureau of Labor Statistics.
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Chapter 11. Health Care Costs and Value 283
deductible associated with employer-sponsored health insurance plans topped
$1,500; average deductibles were more than $1,000 in every state but Hawaii and
more than $2,000 in Maine and Montana (Collins, Radley, Gunja, & Beutel, 2016).
On top of high deductibles, employees contributed an average of 21% of the total
annual premium cost for a single policy and 27% of the cost of family plans. While
the share of employees contributions has been fairly consistent in recent years,
employees’ costs have gone up in absolute terms. An employee’s share of a singleperson plan in 2006 was $788, compared to $1,255 in 2015. Coupled with slow
wage growth, employees’ total potential out-of-pocket costs—that is, their premium contributions plus their deductible—rose from 6.5% of median income in
2006 to 10.1% of median income in 2010 (Figure 11.3).
To sum up, health care spending levels in the United States are higher than in
other developed countries, and they account for an increasingly disproportionate
share of our nation’s total economic activity. !e burdens associated with growing costs are shared by federal, state, and local governments and by the public.
Increasingly, American families are pinched by rising insurance and out-ofpocket medical costs. Despite high levels of spending and growth that’s disproportionate with that of other sectors of the U.S. economy, health outcomes in the
4.2%
2.3%
6.5%
5.1%
3.2%
8.4%
5.8%
4.2%
10.1%

2006 2010 2015 2006 2010 2015 2006 2010 2015
Employee premium contribution Deductibles Combined employee premium
contribution and deductible

Note: Single and family premium contributions and deductibles are combined and weighted for the
distribution of single-person and family households. Estimates of median household income used in the
denominator for this ratio come from the Current Population Survey (CPS), which revised its income
questions in 2013. !e denominator in our ratio estimates prior to 2014 is derived from the traditional
CPS income questions, while ratio estimates from 2014 are derived from the revised income questions.
Household incomes are averaged over 2 years and have been adjusted for the likelihood that people in
residence purchase health insurance together.
Sources: Medical Expenditure Panel Survey–Insurance Component (employee premium share and deductible, 2006, 2010, and 2015); Current Population Survey (median income, 2006-07, 2010-11, 2015-16),
as reported in Collins, S. R., Radley, D. R., Gunja, M. Z., & Beutel, S. (2016).
!e slowdown in employer
insurance cost growth: Why many workers still feel the pinch
. New York, NY: !e Commonwealth Fund.
FIGURE 11.3 EMPLOYEE PREMIUM CONTRIBUTION AND DEDUCTIBLE AS PERCENT OF
MEDIAN HOUSEHOLD INCOME: 2006–2015
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284 Part III. Medical Care: Treating Americans’ Medical Problems
United States are not keeping pace with progress made in the other countries,
and on many measures of care quality, the United States is at best on par with
patients’ experience in other parts of the world.
DEFINING AND MEASURING VALUE IN HEALTH CARE
A widely accepted de!nition of value in health care remains elusive. In the broadest sense, we know that value is the pot of gold at the intersection of health care
spending, patients’ experiences and outcomes, and the quality of the care that
providers deliver.
In one of the most commonly cited de!-
nitions of value, Porter and Teisberg (2006)
o”er “health outcomes achieved per dollar
spent.” Patients are at the center in this vision
of value. #e numerator in this equation
is the quantitative assessment of patients’
desire for survival, fast and uncomplicated
recovery, and the long-term maintenance of
well-being; the denominator is the sum of
the dollars spent—across all health care providers—in pursuit of optimal patient
outcomes. #is conception of value focuses on results and not merely on the
inputs used to achieve these results. It is possible to increase value by improving
the quality, outcomes, and patient experience of medical care, and it is possible to
increase value by achieving the same quality, outcomes, and experience at a lower
total cost by improving e$ciency.
In their contemplation of value, Blumenthal and Stremikis (2013) ask “why
all the fuss with de!ning it?”—noting that in most other markets, value is simply
assumed when consumers choose to buy things. In answering their own question, they suggest that de!ning value “carefully and systematically” is critical for
enabling patients to understand what they are getting and that a widely accepted
concept of value could serve as a “north star toward which health care providers could navigate.” Of course, health care cannot be thought of in the same way
we consider markets for other goods and services. In health care, patients rarely
drive the treatment decisions, and they generally are only responsible for a small
fraction of the costs generated by the care they receive. Instead, they trust the
expertise of their clinical providers to make decisions on their behalf and bene!t
from the !nancial protection a”orded by health insurance.
A shared understanding of what is meant by value in health care can also help
address potentially competing interests in its pursuit. Porter (2010) acknowledges
that the myriad stakeholders in health care often have con%icting goals. Patients
want access to the services that will ensure the best possible outcome; they are
interested in receiving care that is safe, as convenient as possible, and delivered in
a way in which they feel respected and digni!ed. Providers, while likely acting in
their patients’ clinical interests, are also necessarily concerned with pro!tability,
We know that value is the pot
of gold at the intersection of
health care spending, patients’
experiences and outcomes,
and the quality of the care that
providers deliver.
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Chapter 11. Health Care Costs and Value 285
and payers are interested in lowering costs. !ese interests are often at odds with
one another under the payment schemes that dominate U.S. health care today. For
example, it is commonly misunderstood that cutting cost is the central way of producing value. !ird-party payers often argue that the “value” they add is reducing
payments to health care providers, thereby reducing the cost of health care to the
employer, taxpayer, or individual who is the actual payer. Lowering payment alone
won’t necessarily enhance value if it results in providers cutting back in ways that
limit patients’ access to e”ective health care services. In contrast, many health
care professionals who think about and work on quality issues focus on ensuring
that consumers get the best treatment available at the correct time and may not
even be aware of the associated costs because, as we describe in the next section,
of opaque pricing structures (Robert Wood Johnson Foundation, 2013).
A key challenge in the value movement is the ability to meaningfully measure patient-centered outcomes and the costs associated with achieving those
outcomes. !ere is no shortage of quality measurement frameworks (e.g., HEDIS
[Healthcare E”ectiveness Data and Information Set]; CMS [Centers for Medicare
& Medicaid Services] star ratings; Agency for Healthcare Research and Quality [AHRQ]’s prevention, inpatient, safety, and pediatrics quality indicators), but
current measurement tools fail to capture the information needed to adequately
complete the value equation. Existing quality measures tend to focus on care processes and track the extent to which physicians adhere to accepted standards of
care—for example, diabetic patients receiving appropriate blood sugar testing,
adults receiving age- and gender-appropriate cancer screenings, or heart attack
patients receiving appropriate upon arrival at a hospital. !ese are understandably important but, by focusing too keenly on care processes, our delivery systems risk shifting attention away from the things that matter most to patients.
Just as existing quality measurement strategies face limitations in a modern
value-based care framework, so too do existing notions of “patient outcomes.” By
some measures, health outcomes are improving markedly in the United States (see
Chapter 12). Deaths associated with stroke and heart disease are down substantially, and most would agree this is due to improvements in medical know-how,
pharmaceuticals, and emerging technology. Cancer mortality also is improving
due to better treatment approaches. Longevity after age 75 is higher in the United
States than in many other countries, again perhaps due to the health services
associated with medical care. Disparities in health outcomes between people of
color and White Americans decrease after age 65, and most experts associate this
with the near-universal accessibility of medical care that happens when people
become eligible for Medicare.
While the importance of such gains cannot be overstated, these “outcomes” do
not fully align with our understanding of patient outcomes in an evolving notion
of value. Rather than thinking of outcome measurement in narrow terms, limited primarily to things that happen to patients (e.g., mortality or rehospitalization rate), achieving value in health care requires an acknowledgement that
patient outcomes are subtle and multidimensional. Patient-centered outcomes
must capture the nuances of patients’ functional and psychological status, as
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286 Part III. Medical Care: Treating Americans’ Medical Problems
well as perceptions and valuations of their care and their goals for recovery. Perhaps a more nuanced way to think of value in health care is that value is achieved
when the health care that gets delivered helps patients achieve what matters
most to them.
Take, for example, two patients with knee pain. Both are age 73, relatively
healthy, and free from major chronic illness, but both have a diagnosis of
osteoarthritis in their knee—a painful degenerative condition that is often an
indication for total knee replacement (TKR) surgery. In this example, Patient A
cares most about being pain free and maintaining as active of a lifestyle as possible. In discussing treatments options with her physician, she decides that she
is willing to accept the risks associated with TKR surgery (e.g., infection, joint
failure) if this is the treatment that will help her achieve her goal of being active
with her grandchildren. Patient B is also interested in reducing his level of pain.
However, Patient B recently lost a sibling who died from a surgical site infection
following a routine operation and is very concerned about infection risk (even
though he can acknowledge that chances of getting a surgical site infection are
small). He is willing to tolerate some level of pain and loss of function if it means
he can avoid the risks associated with surgery. Would our health care system be
delivering high-value care if both patients received the same treatment? What
if Patient A has a successful surgery (total cost $65,000) and Patient B is treated
pharmacologically for pain and participates in physical therapy (total cost of
$9,000), but both patients feel that they got what mattered most to them—would
it be fair to say that Patient B received higher-value care because the overall cost
was lower?
!ere does not appear to be a near-term solution for reconciling both sides of
the value equation. For starters, patient-centered outcomes research (PCOR) and
development of patient-reported outcome measures (PROMs) are still new scienti”c endeavors. While progress is being made to develop methods and establish
scienti”c standards (Shah & Spinks, 2017), our nation’s health care infrastructure
is still a long way away from being able to meaningfully operationalize patientcentered outcome measures and use the data to inform treatment decisions.
Doing so will require developing new processes to routinely solicit information
directly from patients on their perceptions and values. Information systems will
need to be adapted (or developed) such that they can combine clinical assessment
data (including functional and psychological status) and qualitative information
collected from patients with administrative records of the care they received and
the costs they incurred. And most important, mechanisms need to be developed
to get this information, in a usable form, in front of clinical care providers at the
point of service.
COST DRIVERS AND BARRIERS TO VALUE
So far we have learned that health care is costly in the United States. !is section
discusses some of the key factors behind high spending levels and how those factors are actually working against e#orts to achieve better value.
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Chapter 11. Health Care Costs and Value 287
Recall from your introductory economic
classes that
spending = quantity × price. !e
same is true in health care. !ere are factors
that in”uence how much health care gets
delivered, some portion of which is considered duplicative, wasteful, or otherwise
unnecessary, and the prices are often high
and idiosyncratic, in that the same service
could have di#erence prices, depending on
who is paying. Compounding the pressures
from high utilization and price, the predominant payment models in the United States create incentives that are misaligned
for delivering high-value care.
Fee-for-Service Payment
Most experts agree that the fee-for-service payment models that $nance the
majority of care delivered in this country are themselves a major driver of high
spending. In a fee-for-service (FFS) system, providers are compensated for each
service performed, which can lead to unnecessary care being provided (and
therefore unnecessary costs). As late as 2016, 86% of physicians reported being
reimbursed predominantly under an FFS model (Morris, Abrams, Elsner, &
Gerhardt, 2016) despite a widespread and longstanding acknowledgement that
the model adds to overall cost.
!e FFS reimbursement model dates back to a time when health care providers mainly saw patients to treat acute problems. FFS made a lot of sense in these
scenarios. It was straightforward for a provider to charge a single fee to o#er treatment from a relatively narrow set of therapeutic options at a time before prices put
treatment out of reach for average Americans. But modern health care is di#erent.
!e majority of health care spending now is devoted to treating chronic illnesses
(including acute exacerbation of chronic problems) over long periods of time. Care
is now rarely provided by a single physician; rather, team-based medicine is the modern norm. And where there used to be a relatively narrow set of treatment options
available, new technologies and therapeutic innovations have vastly expanded the
number of tools that clinicians have to choose from when diagnosing and $ghting
disease. While the delivery of medicine has changed in the last half century, the predominate $nancing mechanism hasn’t kept pace. Instead, FFS payment has enabled,
even supported, many of the factors we point to as current cost drivers.
Berwick and Hackbarth (2012) o#er one of the more insightful examinations
of health care spending in the United States, estimating 20% to 46% of health care
expenditures are potentially wasteful and categorizing six discrete types of
waste.
By “keep[ing] processes, products, and services that actually help customers and
systematically remov[ing] the elements of work that do not,” they estimate that
the U.S. health care system stands to save an average of $910 billion (in 2011 dollars). !e remainder of this section discusses cost implications of each of Berwick
and Hackbarth’s categories.
There are factors that in!uence
how much health care gets
delivered, some portion of which is
considered duplicative, wasteful,
or otherwise unnecessary, and
the prices are often high and
idiosyncratic, in that the same
service could have difference
prices, depending on who is paying.
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288 Part III. Medical Care: Treating Americans’ Medical Problems
Failure of Care Delivery
Failures in care delivery can generate excess cost in several ways. Most directly,
patients receive services that do little in the way of advancing their treatment
but that nonetheless generate charges. In a more concerning scenario, a patient
may receive services that cause harm, which in turn initiates a set of services and
charges associated with treating the damage. !ey can also generate charges over
a longer term if foregoing e”ective and low-cost care leads to the use of more
costly services later on.
Health care delivery systems should always be focused on providing the
right care, to the right patient, at the right time—it seems almost too obvious to state. Yet, across the health care landscape, it’s easy to #nd instances
of suboptimal and, in some cases, outright poor quality and dangerous care
being delivered. Classen and colleagues (2011), using a sophisticated and highly
standardized process for retrospective patient chart review, found that adverse
events capable of causing patients harm occurred in about a third of hospital
admissions, with the majority related to medication use or linked to speci#c
procedures. !e Centers for Disease Control and Prevention (CDC) reports
annually on hospital-acquired infection (HAI) rates and routinely #nds wide
variation in infection rates across hospitals on a number of infection types,
with some hospitals reporting two-and-a-half times the national incidence of
infections for central line–associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), ventilator-associated events
(VAEs), surgical site infections (SSIs), methicillin-resistant
Staphylococcus
aureus
(MRSA) bloodstream infections, and Clostridium di!cile (C. di!cile)
events (CDC, 2017). Not all care delivery failure occurs in hospitals. In 2014,
for example, 13% of Medicare bene#ciaries nationally, but up to one in four
in some states, received a high-risk prescription medicine that should never
have been prescribed according to clinical guidelines. In 2016, a third of adults
reported not having had all recommended age- and gender-appropriate cancer
screenings—tests that have been proved to help detect treatable cancers early
to help save lives and avoid more costly treatment later on (Radley, McCarthy,
& Hayes, 2018).
To be sure, providing the right care, to the right patient, at the right time is
not easy, and most experts acknowledge that progress is made with each passing
year. Nonetheless, each instance of a care delivery failure represents an opportunity to lower spending.
Failure of Care Coordination
A large part of what leads to high health care costs in the United States is caused
by the uncoordinated approach we use to take care of people with medical problems. Poorly coordinated care can result in duplication of services—this is common with medical testing and imaging, when providers are unaware or unable
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Chapter 11. Health Care Costs and Value 289
to obtain recent results; avoidable complications and rehospitalizations; and
declines in patients’ functional status, which may lead to additional downstream
treatment costs. A commonly cited failure of coordination is 30-day hospital
readmission. After a patient is discharged from a hospital stay, timely follow-up
care along with a coordinated post-acute response should prevent most patients
from having to return to the hospital. Hospital readmission rates among Medicare bene!ciaries have been hovering around 16% to17% in recent years, since
legislation was passed that penalized hospitals with high rates. Even though readmissions are down over the long term, the fact that one of every six hospital discharges results in a readmission still represents a huge economic burden (Barrett,
Wier, Jiang, & Steiner, 2015).
“ere is no one for whom poorly coordinated care is more costly than for
the most complexly ill patients. You’ve probably heard the statistic—just 5% of
the total U.S. population accounts for 50% of all health care spending, and 10%
accounts for 66% of spending, while the bottom 50% of the population accounts
for just under 3% of spending (Figure 11.4) (Mitchell, 2016). Individuals in the
top spending group tend to have multiple chronic illnesses and functional limitations. Coordination of services is critical for these complexly ill individuals.
Unfortunately, today’s care delivery systems too often fall short in ensuring a high
degree of integration as these patients move among various specialists, hospitals,
and post-acute and long-term care settings. Compared to other adults, they use
the emergency department and are admitted to the hospital at much higher rates,
they see many more providers during the year, and they are far more likely to
incur high costs year over year (Hayes et al., 2016).
50%
3%
40%
31%
5%
16%
5%
50%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Population Healthcare
Expenditures
Source: Medical Expenditure Panel Survey—Household Component, 2014.
FIGURE 11.4 HEALTH CARE EXPENDITURES BY SHARE OF U.S. POPULATION
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290 Part III. Medical Care: Treating Americans’ Medical Problems
Overtreatment
Approximately 40 years ago, Wennberg published his !rst study of geographic
variations in the use of medical care (Wennberg & Gittelsohn, 1973). Since then,
hundreds of academic and journalistic articles have explored the causes and
consequences of regional di”erences in how health care resources are used. #e
key !nding to emerge from this work is: Where you live matters. #ere are big
di”erences across the country in people’s ability to access care, the quality of care
they receive, and the outcomes they may expect to experience. More important,
this research has also shown that more care isn’t necessarily better. Fisher and
colleagues demonstrated that despite signi!cantly higher spending per Medicare
bene!ciary in some parts of the country, the quality of care received and patients’
satisfaction and outcomes were not appreciably better, and in some cases they
were worse, in regions where spending was high compared to lower cost areas
(Fisher et al. 2003a, Fisher et al. 2003b).
One of the key implications of Fisher’s et al. !ndings is that certain types of
health care services, particularly those of little marginal bene!t to patients, were
used at lower rates in some places than in others without detriment to patients’
health. Another way to say it is that some health care services were overused and
generated cost and waste in the process. #ese !ndings were reinforced when the
Institute of Medicine (IOM) estimated that waste accounted for about one-third
of all health care spending, citing unneeded procedures as one of the primary
sources (IOM, 2012).
Emerick and Lewis (2013) cite
overscreening and treatment as a fundamental
aspect of waste in health care. As advances in technology and medical condition
diagnoses have made detection of potential health problems easier and less
invasive, the likelihood of detecting nonthreatening medical conditions, which
pose little risk to the patient, also increases. For example, screenings may !nd
lesions or potentially cancerous cells on organs—leading the medical provider to
treat the patient (with surgery, medicine, and so on). Yet these medical conditions
may not be problematic or lead to health complications. As such, they lead to
increased costs with no certainty of an accompanying increase in value. As one
example, U.S. patients receive heart surgeries and angioplasties at more than
twice the rate for patients in other countries, yet our health outcomes are identical
(OECD, 2013). Hospital visits for chronic health conditions are also far more
frequent in the United States; hospitalization rates for diabetes and asthma, for
example, are nearly twice as high as those in other nations (OECD, 2013).
A !nal factor a”ecting our health care spending patterns bears discussion.
End-of-life care is costly, with estimates pegging nearly 32% of Medicare spending to those patients in their last two years of life su”ering from chronic illnesses
(Dartmouth Atlas of Health Care, 2014). #is fraction of spending represents
more than $170 billion annually. Furthermore, Hagist and Kotliko” (2006) show
that health care spending in the United States increases signi!cantly after age 65.
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Chapter 11. Health Care Costs and Value 291
Just as variation exists across the country in Medicare spending, end-of-life
care spending by Medicare is not evenly distributed across the country. Patients
receiving more aggressive end-of-life care (and, by extension, spending more
resources) do not have improved survival or better quality of life than others.
For example, many terminal cancer patients choose to undergo chemotherapy
during the last 10 to 30 days of life, which is expensive and only marginally
extends the patients’ lives (see, e.g., Harrington and Smith [2008], who note that
43% of terminal lung cancer patients in the United States receive chemotherapy
in the last month of life, compared with just 23% in Italy). However, patients,
families, and doctors likely feel more satis”ed that they tried everything.
Overuse is another challenge to achieving value for which there are no easy
answers. As Woloshin and Schwartz point out, overuse is “about more than
money—at its core it is about physicians wanting to do their best for individual
patients and the quality and safety of health care” (Woloshin & Schwartz, 2018).
With a number of factors driving the practice of medicine toward providing
more care—things like patients’ and physicians’ anxiety over uncertainty, di#-
culty accounting for patients’ preferences and values in treatment decisions, and
patients’ widespread belief that more health care must be better—it’s unlikely that
the debate over overuse will end anytime soon.
Administrative Complexity and Fraud
By now, you should appreciate the complexity in the U.S. health care system.
At its best, our system is a hodgepodge of public and private insurers, operating under di$erent federal and state laws and regulations and paying for services
under di$erent payment models. %is complexity has a price. %e IOM estimates
that administrative complexity alone costs in excess of $360 billion annually
(Yong, Saunders, & Olsen, 2010), which is more than total spending on heart disease and cancer combined (Cutler, Wikler, & Basch, 2012). Cutler and colleagues
argue that substantial savings could be realized by standardizing key administrative processes. %ey estimate, for example, that approximately $11 billion could
be saved annually if all payers, public and private, were to adopt a standardized
system for electronic billing; almost $3 billion could be saved by standardizing
and stabilizing enrollment rules and procedures for public insurance programs;
and as much as $6 billion might be saved by adopting systems that standardize
procedures for automating certain routine tasks (e.g., computerized physician
order-entry systems).
As complex as it is, it’s no wonder that dishonest actors have found ways to
take advantage of gaps in our system, generating fake bills for services they did
not provide. In the same IOM report, it is estimated that approximately $75 billion worth of fake claims were paid to fraudsters, while Berwick and Hackbarth
(2012) estimate that the total cost of fraud, including e$orts to detect and stop it,
are between $82 billion and $227 billion.
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292 Part III. Medical Care: Treating Americans’ Medical Problems
Pricing Failures
So far, we’ve discussed the quantity side of our spending equation. What about
prices? A popular health policy article has the provocative title “It’s the Prices,
Stupid: Why the United States Is So Di!erent from Other Countries” (Anderson,
Reinhardt, Hussey, & Petrosyan, 2003). In addition to the complexity of costs
and value calculations in U.S. health care is this simple fact: Almost every actor
in the health sector has managed to command very high prices for the role he/
she/it plays. U.S. physicians earn higher salaries than those in almost every other
country (Laugesen & Glied, 2011), pharmaceutical prices are much higher in the
United States than in other countries, hospital prices are much higher, and hospital administrators earn more in the United States than elsewhere. Furthermore,
until recently, what we’ve known about health service pricing has been spotty at
best. In this section, we’ll learn more about the ways prices are di!erent in the
United States than in other places, as well as more about the recent movement
toward price transparency.
“e International Federation of Health Insurance Plans (IFHIP) collects pricing information for common health care services in the United States and several
international comparison nations (IFHIP, 2013). Table 11.2 highlights some of the
comparisons from the IFHIP 2012 report, the most recent year of publicly available data. “e United States is an outlier, with average prices at least 33% higher
than the next highest price nation for most services.
One of the barriers to fully understanding just how important a role price
plays in the driving overall costs has been a lack of information and transparency.
TABLE 11.2 AVERAGE PRICES FOR SELECT HEALTH CARE SERVICES IN THE UNITED STATES WITH
INTERNATIONAL COMPARISON: 2012

SERVICE U.S. AVERAGE
PRICE
NEXT HIGHEST
PRICE
COMPARISON
COUNTRY
LOWEST PRICE
COMPARISON
COUNTRY
CT scan: head $566 $328 $82
MRI $1,121 $1,072 $118
Hospital cost per day $4,287 $1,472 $429
Maternity: vaginal delivery (hospital
and physician charges)
$9,775 $6,846 $1,188
Total hip arthroplasty (hospital and
physician charges)
$40,364 $27,810 $3,365
Diagnostic colonoscopy $1,185 $893 $413
Routine of!ce visit $95 $38 $10

Source: International Federation of Health Insurance Plans.
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Chapter 11. Health Care Costs and Value 293
For a long time, most of what we know about spending and utilization has come
from analysis of Medicare claims data. Since prices are generally !xed through
Medicare’s prospective payment system, we’ve been able to learn very little about
price di”erences between hospitals for non-Medicare populations. #is is starting to change as new data become available that can shed light on the interplay
between price—which is the result of negations between health insurers and
health care providers—and utilization for the segment of the U.S. population who
get health insurance from their employers.
In their recent analysis of data from the Health Care Cost Institute (HCCI),
which compiles administrative insurance claims data from three large national
insurers that provide coverage for working-age adults and their dependents,
Cooper and colleagues (Cooper, Craig, Gaynor, & Van Reenen, 2018) !nd that
roughly half of the spending variation seen across U.S. cities is attributable to
how services are used, and about half can be attributed to the prices charged.
Unlike in Medicare, where service prices are !xed (so spending variation is due
mostly to di”erences in utilization), among the privately insured, prices for the
same services di”ered as much as 10-fold across cities and as much as sixfold
among hospitals within a single city.
One of Cooper’s most interesting, though not entirely surprising, !ndings was
that prices tended be about 12% higher in markets dominated by a single hospital
system compared to markets with four or more competing hospitals—a potential
cause for concern if provider consolidation trends continue (Cooper et al., 2018).
As Atul Gawande (2015) puts it, “It’s the cost conundrum squared. #e bigger
the hospital, the more it can adopt systems that deliver better-organized, higherquality, less-wasteful care. But the bigger the hospital, the more power it has to
raise prices.”
So why have actors in the health system been able to charge such high prices
for their services? And how is that our health care system has been willing to
tolerate high prices and blatant price discrimination (meaning a provider can
charge di”erent payers di”erent prices for the same service) for so long? One
reason is patients cannot be thought of in same way as typical “consumers” are in
other markets. #e public are generally not consumers of health care until they
become patients, at which point stakes are high (i.e., potentially life or death), and
insurance protects patients from the high costs. Another reason is that insurers
have long been able to pass high prices along to enrollees in the form of higher
premiums. So long as !rms continue to buy health insurance products for their
employees and shift costs by raising premium contributions and deductibles,
insurance !rms have minimal incentive to negotiate substantially lower prices
with local providers. Finally, as alluded to in the quote from Gawande above,
certain health care providers can command a “must-have” status when insurers
are de!ning networks for insurance products to sell to local employers. Even if
an insurer is willing to exclude certain high-price providers from a network to
help lower the premiums it charges employers, it’s often true that !rms would be
unwilling to buy insurance products that limit their employees’ access to the biggest, most recognized providers in the area.
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294 Part III. Medical Care: Treating Americans’ Medical Problems
INITIATIVES TO ADDRESS EXPENDITURE/VALUE TRADEOFFS
For decades, we’ve recognized the need to get better value out of health care.
As health care costs swelled in the 1980s, employers reacted by starting to shift
more of the cost-sharing burden onto their employees—a trend that has continued to today.
Back then, insurance companies saw an opportunity to address the problem
by creating managed care organizations (MCOs), primarily through health maintenance organizations (HMOs) and preferred provider organizations (PPOs). To
be sure, MCOs like Kaiser Permanente, Group Health Cooperative, and Henry
Ford Health System had been around for decades. But employers were looking
for something to address their immediate needs, and by the 1990s, traditional
indemnity health insurance had become a thing of the past.
“e promise of MCOs was short-lived. Why? It is true that for a period of
time MCOs held the line on costs. Yet there was a lack of focus on quality and
patient satisfaction. Health plans that solely focused on costs—particularly capitated arrangements—often led to penny-wise and pound-foolish decisions by
gatekeepers making short-term decisions about the insurer’s bottom line.
In an address in 1999 at the Mayo Clinic, economist Alain Enthoven captured the sentiment of the moment. “”e ‘managed care revolution of the 1990s’
achieved an important, if temporary, success,” he said. “But it now appears to be
failing. We see a great outpouring of anger, resentment, hostility, and frustration
expressed in state and the federal legislatures as doctors, other providers, and
many patients express strong dissatisfaction with managed care” (Stanford GSB
Sta#, 1999).
Managed health care continues to be the primary health insurance model
today. But after the turn of the century, insurers began to experiment with new
payment models to supplement their o#erings. “ese models began to address
the need for value—providing incentives to improve outcomes at lower costs.
Blue Cross Blue Shield launched its Alternative Quality Contract for providers in
2009, at about the same time that Cigna was piloting its Collaborative Accountable Care model. Medicare began demonstration programs focused on quality
and value, which eventually made their way into the A#ordable Care Act; the
establishment of
accountable care organizations (ACOs); and the nation’s $rst
Medicare ACO program: the Pioneer Model ACO.
We will learn more about value-based payment models and attempts at
health care delivery reform in the following sections, including bundled payments, ACOs, and more.
Value-Based Payment Models
Value-based payment models evolved from the present system because our
primary funding models, FFS and capitation, each have perverse incentives
that the accountable care model seeks to remedy (see previous section). In an
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Chapter 11. Health Care Costs and Value 295
FFS system, providers are compensated for each service performed, which can
lead to unnecessary services being provided (and therefore unnecessary costs).
In a capitated model, providers are reimbursed at a !xed rate, usually on a
per-member, per-month basis. In this reimbursement model, providers may
have a disincentive to provide necessary treatments, which can lead to poor
outcomes and, eventually, greater costs.
All value-based care models have the
same three goals in mind: improve the
patient experience (including quality and
satisfaction), improve the health of populations, and reduce costs. In other words,
the goal is to achieve the Triple Aim—the
framework established by the Institute for
Healthcare Improvement (IHI) to optimizing health system performance (Berwick,
Nolan, & Whittington, 2008).
Bundled Payments
In abundled paymentsmodel, providers receive a lump sum payment for each episode
of care they provide to patients. Bundled payments can align incentives for various
providers, thereby encouraging collaboration across specialties and care settings.
Bundled payments are riskier for providers than some of the other arrangements because providers must service whatever health care needs the patient has
during a given episode of care. “ey can bene!t when patients require little care,
but in complex cases or when complications arise, the cost of the care given can
exceed the amount of the lump sum payment. For this reason, bundled payment
programs are most e#ective where outcomes are more predictable, such as for
total joint replacement procedures.
“e bundled payments model has been implemented through a major initiative by the CMS and through commercial payers.
BUNDLED PAYMENTS FOR CARE IMPROVEMENT INITIATIVE Bundled Payments for Care
Improvement (BPCI) providers voluntarily enter into payment arrangements
that include !nancial and performance accountability for episodes of care. “e
initiative comprises four models of care: three retrospective bundled payment
arrangements and a prospective bundled payment arrangement. “Convening
organizations” are responsible for selecting bundled payment participants and
managing the program. BPCI was initiated in 2013 (CMS, 2018).
In April 2016, CMS launched its !rst mandatory bundled payment model,
the Comprehensive Care for Joint Replacement (CJR) program, in 67 geographic
areas. Under the program, hospitals are accountable for the quality and cost
of care provided to Medicare bene!ciaries who undergo hip and knee replacements—not only during the patient’s hospital stay, but also for the 90 days
All value-based care models
have the same three goals
in mind: improve the patient
experience (including quality and
satisfaction), improve the health
of populations, and reduce costs.
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296 Part III. Medical Care: Treating Americans’ Medical Problems
following discharge. Hospitals are eligible to receive an additional payment if they
perform well on cost and quality measures. CMS later expanded this model to
include surgeries for hip and femur fractures.
However, under the Trump administration, CMS was unwilling to continue
with mandatory bundles, including another program expected to launch. In
November 2017, CMS announced that it had !nalized the cancellation of the hip
fracture and cardiac bundled payment and incentive payment models, o”cially
known as the Episode Payment Models and Cardiac Rehabilitation Incentive Payment Model, which were to be implemented on January 1, 2018 (CMS, 2017). #e
!nal rule also reduced the number of mandatory geographic areas participating
in the CJR model from 67 to 34 and made participation voluntary for all lowvolume and rural hospitals in all 67 geographic areas.
Had the CJR model continued to be mandatory in all 67 geographic regions,
it was expected to save Medicare an estimated $295 million over the next three
years, but with the reduced number of mandatory geographic areas, it will save
about half that amount, or an estimated $189 million. #e canceled cardiac
payment models would have saved Medicare an estimated $170 million over
!ve years.
In January 2018, CMS introduced a new voluntary bundled payment model:
Bundled Payments for Care Improvement Advanced (BPCI Advanced). #e
new program includes 32 clinical care episodes, three of which are outpatient.
Among the care episodes are major joint replacement of the lower extremity,
spinal fusion, and percutaneous coronary intervention. Seven quality measures
have been chosen for the new model, including the all-cause hospital readmission measure.
Bundled payments have been shown to reduce costs without a$ecting quality
for joint replacement procedures. A study published online September 19, 2016,
by the
Journal of the American Medical Association compared the Medicare bundled payments and outcomes for lower extremity joint replacement episodes initiated during a 1-year period before the original BPCI model was launched versus
similar episodes initiated during the !rst 21 months of the BPCI for participating
and nonparticipating hospitals. #e analysis showed that the average Medicare
payment for the BPCI-participating hospitals decreased by $3,286 during the
program’s !rst 21 months, whereas the average Medicare payment for nonparticipating hospitals decreased by $2,119. #e di$erence was attributed mostly to
reduced use of institutional post-acute care. #ere was no signi!cant change in
quality outcomes (Dummiit, Kahvecioglu, & Marrufo, 2016).
COMMERCIAL BUNDLES Large commercial payers like Aetna, Humana, and UnitedHealthcare (UHC) have deployed the bundled payment model across specialties
and procedures, in some cases achieving substantial cost savings without sacri!cing quality.
For example, in May 2018, UHC reported that its bundled payment program for knee, hip, and spine procedures generated $18 million in savings for
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Chapter 11. Health Care Costs and Value 297
participating employers as a result of reduced readmissions and complications
following surgery. UHC said its Spine and Joint Solution program helped reduce
hospital readmissions by 22% and led to 17% fewer complications for joint replacement surgeries as compared with nonparticipating facilities. For spine surgeries,
hospital readmissions were reduced by 10%, and there were 3.4% fewer complications as compared with nonparticipating facilities. UHC said the program
includes 46 participating health care facilities, with more than 115 employers
enrolled representing 3 million employees (UHC, 2018).
Bundled payment programs aren’t limited to procedures. In April 2018,
Humana announced the rollout of a national bundled payment model for maternity care. Humana said the program is for Humana commercial group members
with low- to moderate-risk pregnancies. Humana’s Maternity Episode-Based
Model a!ects the entire perinatal episode of care, including prenatal care, labor
and delivery, and post-delivery care. OB-GYNs are “nancially incentivized to
achieve better outcomes. Five practices in Indiana, Kansas, Ohio, and Texas are
the “rst to voluntarily participate in the model (Humana, 2018).
Medicare Access and CHIP Reauthorization Act
In 2016, CMS released the “nal rule for the Quality Payment Program under the
Medicare Access and CHIP (Children’s Health Insurance Program) Reauthorization Act (MACRA). #e program replaces the sustainable growth rate formula,
which was repealed in 2015. Providers who bill Medicare more than $90,000 per
year or provide care for at least 200 Medicare bene”ciaries qualify for the new
payment program.
4
#e new payment program has two reimbursement tracks: the Merit-based
Incentive Payment System (MIPS) for providers participating in traditional
Medicare Part B and Advanced Alternative Payment Models (APMs) for those
participating in a value-based care model.
Providers in the MIPS track will earn payment adjustments based on their
performance in four categories: quality of care; cost of care, which will carry zero
weight in the “rst performance year; clinical practice improvement; and “advancing care information,” which is similar to meaningful use of
electronic health
records
(EHRs). #ose who do not submit a minimal amount of performance
data for the “rst performance year will receive a 4% negative adjustment. #ose
who do submit data will receive a neutral to 4% positive adjustment, depending
on the amount of data submitted. #e adjustment gradually increases to a maximum of 9% in 2022.
4In November 2017, the $90,000 threshold was raised from the $30,000 threshold in the initial
rule to give small practices a chance to ease into the Quality Payment Program. To that end,
MACRA will provide $20 million annually for five years to help small practices (with up to 15
clinicians) and those in underserved areas prepare for participation.
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298 Part III. Medical Care: Treating Americans’ Medical Problems
Providers in an advanced APM can earn an annual 5% lump sum incentive
payment from 2019 through 2024 and will not be subject to MIPS reporting or
payment adjustments. Programs qualifying as Advanced APMs must use certi-
!ed EHR technology, base payments on quality measures comparable to MIPS,
and require providers to bear more than nominal risk.
Value-Based Pricing of Pharmaceuticals
Pharmaceutical pricing is complex. In fact, a major problem lies with the complexity of how drugs are priced and paid for in the United States—and a lack of
transparency throughout the process.
When we pick up our prescription at the pharmacy, most of us pay a copay. “e amount we pay has been negotiated in advance by a pharmacy bene!t
manager, or PBM, which earns rebates on each prescription dispensed. PBMs
have a list of all prescription drugs, called a formulary, that they categorize into
tiers. Drug plans vary, but typically lower-tier drugs are “preferred” and have a
lower copay than higher-tier drugs. Drug manufacturers negotiate with PBMs
to earn rebates and be the preferred drug in their category on the formulary.
“is system of rebates and opaque PBM-manufacturer negotiations has
drawn the ire of lawmakers and was recently highlighted by President Trump
in his Blueprint to Lower Drug Prices. However, payers and drug makers have
begun to experiment with value-based contracts for pharmaceuticals based on
outcomes, often tied to real-world performance compared with what the drug
demonstrated in clinical trials. In February 2016, for example, Cigna and Aetna
reached outcomes-based agreements with Novartis for Entresto, a treatment for
heart failure. Novartis agreed to a base price and a modest rebate, which would
vary based on hospital admissions for heart failure and savings to the plan. “e
benchmark is set by Entresto’s labeling, which states that in clinical trials the drug
reduced the risk of death by 24% and hospitalization by 21% as compared with
enalapril.
DELIVERY SYSTEM REFORM
Some e#orts to meet the Triple Aim are related to how services are priced and
how care is delivered. In this section, we will review two primary models of delivery innovation: patient-centered medical homes and ACOs. We’ll also cover a
hybrid program that borrows elements of these models, designed for patients
with cancer.
Patient-Centered Medical Homes
In 2007, the major primary care physician associations developed and endorsed
the Joint Principles of the Patient-Centered Medical Home (PCMH). PCMH
is a primary care model that is patient centered, comprehensive, team based,
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Chapter 11. Health Care Costs and Value 299
coordinated, accessible, and focused on quality and safety. Adapted from the
AHRQ’s de!nition, the Patient-Centered Primary Care Collaborative describes
the medical home as an approach to the delivery of primary care that is:
■■ Patient-centered: A partnership among practitioners, patients, and their families
ensures that decisions respect patients’ wants, needs, and preferences and that patients
have the education and support they need to make decisions and participate in their
own care.
■■ Comprehensive: A team of care providers is wholly accountable for a patient’s physical and mental health care needs, including prevention and wellness, acute care, and
chronic care.
■■ Coordinated: Care is organized across all elements of the broader health care system,
including specialty care, hospitals, home health care, community services, and supports.
■■ Accessible: Patients are able to access services with shorter waiting times, “after hours”
care, 24/7 electronic or telephone access, and strong communication through health
information technology (IT) innovations.
■■ Committed to quality and safety: Clinicians and sta” enhance quality improvement to
ensure that patients and families make informed decisions about their health.
While being a governing philosophy of care, PCMHs are typically deployed
for use in patients with chronic illnesses or comorbid conditions for which care
coordination is essential. According to the National Committee for Quality
Assurance (NCQA), its Patient-Centered Medical Home Recognition Program is
the most widely adopted patient-centered medical home evaluation program in
the country. More than 12,000 practices, including more than 60,000 clinicians,
are recognized by NCQA, and more than 100 payers support NCQA recognition
through !nancial incentives or coaching (NCQA, 2018).
Accountable Care Organizations
ACOs are groups of health care providers, such as physicians and hospitals,
that collaborate to ensure the highest quality treatment possible for a segment
of the population. Both providers and payers are incentivized to work together
to improve the quality of care while reducing overall costs through e#cient
practices.
While the concept of an ACO may be elusive to some health care providers,
it is actually quite straightforward. $e entity responsible for the payment to the
ACO for services, most commonly Medicare, establishes a prospective annual
budget of expected expenditures based on the number of assigned bene!ciaries
and other factors. At the same time, Medicare (or other payer) sets forth quality
measures to be monitored by the ACO, such as 30-day readmissions.
At the end of the year, Medicare compares the ACO’s projected spending versus actual spending. If spending is less than what was budgeted, the ACO shares
in some of the savings with Medicare—subject to maintaining quality standards
for care and patient satisfaction. ACOs that have shared savings but poor quality
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300 Part III. Medical Care: Treating Americans’ Medical Problems
receive reduced shared savings or no savings at all, which incentivizes the ACO
to focus on both high-quality care and !nancial performance.
Most Medicare ACOs have what is referred to as one-sided or upside risk,
meaning if they exceed their budget, they are not penalized for doing so. “ere is
little risk in such an agreement. More experienced providers enter into two-sided
or downside risk agreements, which means that if they spend more than what
was prospectively budgeted, they must pay Medicare back a portion of the excess.
Two-sided agreements confer not only more risk to the ACO, but also greater
reward through increased shared savings.
Stemming from the A#ordable Care Act, ACOs are the core test beds designed
for the process of innovation toward systemic solvency, aligned incentives, and cost
containment. Since their inception in 2011, ACOs have spread beyond the purview
of CMS to commercial payers, employers, cities, and state Medicaid programs.
MEDICARE ACOs “ere are !ve primary ACO programs and models o#ered by Medicare: the Medicare Shared Savings Program (MSSP), Pioneer ACO, Next Generation ACO, Investment Model ACO (AIM), and the Advance Payment ACO
Model. To be eligible for shared savings, Medicare ACOs must provide CMS with
performance data on 34 measures in four domains.
5 “e !rst ACO experiment,
the Pioneer ACO program, ended in 2016, with most participating providers having joined other ACO programs.
In December 2016, CMS announced a new Medicare-Medicaid ACO
(MMACO) model that builds on the MSSP. Under this new model, MSSP ACOs
that are currently accountable for assigned bene!ciaries’ Medicare expenditures
can also take on accountability for the Medicaid costs of dually eligible enrollees.
Results for the Medicare ACO models have been mixed. For instance, in 2016,
31% of the ACOs participating in the MSSP, or 134 of 432, generated shared savings in 2016, the program’s !fth performance year and fourth year of reporting
results. For the year, participating ACOs collectively reduced Medicare spending
by $652 million. “ose that generated shared savings earned performance payments exceeding $700 million, CMS data show.
MEDICAID ACOs Medicaid ACOs have arisen from a need for the delivery of integrated care, as well as to address social determinants of health. “e common goals
of these state-based initiatives is to improve the quality of care and curb costly and
avoidable hospitalizations of Medicaid bene!ciaries—especially those with multiple chronic conditions and behavioral health needs. States are leveraging existing
investments in managed care and primary care to guide the development of their
Medicaid ACO programs. As of March 2018, eight state Medicaid programs were
operating ACOs, and at least nine more states were in the process of developing
Medicaid ACOs.
5In 2011, CMS originally had 33 quality measures. In 2015, the agency added several more but
also dropped some measures for a net total of 34.
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Chapter 11. Health Care Costs and Value 301
COMMERCIAL ACOs !e commercial ACO model consists of commercial insurance
companies that encourage providers to enter into contracts in which payment
is based on the value of their care. Today, employers are familiar with the concept of value-based health care and are amenable to o”ering an ACO option
to their employees. Cigna, Aetna, Humana, UHC, and Blue Cross Blue Shield
a#liates all have some form of accountable care initiative due to demand in the
marketplace.
For example, as of February 2018, Cigna has more than 200 collaborative
care agreements with primary care providers, covering 2.4 million commercial
plan members in 31 states (Cigna, 2018a). Cigna also has specialty collaborative
care programs in cardiology, gastroenterology, obstetrics-gynecology, oncology,
and orthopedics (Cigna, 2018b).
EMPLOYER-DRIVEN ACOs Several large, self-insured companies have embraced the
ACO concept. One well-known example is the Boeing-Providence Health Services (now Providence St. Joseph Health) ACO. Beginning in 2014, the multiyear agreement has set goals for company medical costs annually—if costs
exceed projections, Providence pays the excess; if it beats the budget, it keeps
the savings.
!e contract stipulates patient satisfaction improvements and quality measures, such as having short appointment wait times and tracking population
measures in diabetes and cardiovascular disease. Employees are incentivized to
select the “preferred partnership” option by o”ering lower paycheck deductions,
larger company contributions to health care savings accounts, no copayments for
primary-care doctor visits (in most cases), and 100% coverage for generic drug
prescriptions.
Oncology Care Model
!e Center for Medicare and Medicaid Innovation (CMMI, or Innovation Center), launched its %rst specialty-speci%c, multipayer alternative payment model,
the Oncology Care Model (OCM), on July 1, 2016. !e %rst performance period
of the 5-year initiative started on January 1, 2017. More than 200 physician-led
oncology practices are participating in the model—almost double what CMS
anticipated—along with 16 private insurers across the country. !e Medicare
arm of the OCM includes more than 3,200 oncologists and will cover approximately 155,000 bene%ciaries.
Similar to ACOs for primary care physicians, the OCM is intended to improve
the quality of care and health outcomes while holding down costs. And as with
ACOs, the oncology model is designed to reward the value of care rather than the
volume of care. !e model covers almost all types of cancer.
Providers participating in the OCM range from solo practices to large physician groups with hundreds of oncologists. While participation is voluntary,
practices have agreed to provide bene%ciaries who are undergoing chemotherapy
with 24-hour access to practitioners, and they must create a patient-focused care
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302 Part III. Medical Care: Treating Americans’ Medical Problems
management plan that follows nationally recognized treatment guidelines. !ey
are also required to use EHRs.
Private insurers participating in the OCM have agreed to align their models
with the OCM by providing monthly payments for enhanced services, such as
care coordination and navigation, and payments for performance. !ey have also
agreed to share data with participating practices to help improve performance,
and align with a set of core quality measures.
All participating practices receive monthly care management payments of
$160 per Medicare bene”ciary per month during a 6-month episode of care that
starts on the date of an initial Part B or Part D chemotherapy claim. !e model
also includes all Part A and Part B services a bene”ciary receives during those
6 months, as well as certain Part D expenditures. If a bene”ciary requires chemotherapy beyond the end of an episode, a new 6-month episode begins. Practices
will also receive monthly payments from payers they have contracted with for
providing enhanced services to plan members.
Other Novel Programs for Delivery Reform
END-STAGE RENAL DISEASE CARE MODEL !e Comprehensive ESRD Care (CEC) Model
is designed to identify, test, and evaluate new ways to improve care for Medicare
bene”ciaries with end-stage renal disease (ESRD). !ere are 37 ESRD seamless
care organizations (ESCOs) participating in the CEC Model. For its “rst performance year—which was from October 2015 through December 2016—13 providers reported $75.1 million in shared savings, of which $51.2 million was earned by
participating providers.
INDEPENDENCE AT HOME DEMONSTRATION !is project is designed to test the e#ectiveness of home-based primary care in improving health outcomes, reducing hospitalizations, and lowering Medicare costs. During a 3-year period, physicians and
nurse practitioners from participating primary care practices make in-home visits
to Medicare bene”ciaries who have multiple chronic conditions and functional
limitations. Patients’ care experience will be tracked through quality measures;
practices that meet the quality measures and generate Medicare savings beyond
a minimum requirement may receive incentive payments. Currently, 14 independent practices and three consortia are participating in the demonstration.
In the “rst year of the demonstration, practices saved CMS more than $25
million, at an average of more than $3,000 per bene”ciary. CMS awarded $11.7
million in practice incentives. In the second demonstration year, Independence
at Home practices saved, in aggregate, a net of $7,821,374, or an average of $89
per bene”ciary. Seven participating practices earned incentive payments in the
amount of $5,322,343 (CMS, 2016).
HOME HEALTH VALUE-BASED REIMBURSEMENT PILOT CMS has a value-based reimbursement pilot program for Medicare home health care agencies under way, as of
January 2016. !e model is part of the 2016 Home Health Prospective Payment
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Chapter 11. Health Care Costs and Value 303
System proposed rule. CMS will increase or decrease the amount reimbursed for
services depending on quality performance. Payment adjustments will start at
5% and will increase to 8% in later years. According to the rule, the goals of the
incentive program are to improve the patient experience and quality of care and
to weed out poorly performing agencies.
Nine states were randomly selected to be part of the pilot program; the proposed states are Arizona, Florida, Iowa, Maryland, Massachusetts, Nebraska, North
Carolina, Tennessee, and Washington. Performance data are not yet available.
STATE-DRIVEN VALUE-BASED INITIATIVES
Innovation is taking place at the state and local levels across the country, with
e!orts to improve value in speci”c patient populations, such as behavioral health
programs for people with mental illness. Often these programs are funded
through grants awarded by the CMS Innovation Center or are state Medicaid
pilot programs.
#ere are two examples in which health care delivery and payment reform:
the Maryland All-Payer Model and the Vermont All-Payer ACO.
Maryland All-Payer Model
Since the 1970s, Maryland has been the only state in the United States to have
an all-hospital rate-setting system. On January 1, 2014, Maryland instituted an
all-payer model for hospitals, in which an annual global budget is established for
all inpatient and outpatient hospital expenses. #rough an agreement with CMS,
Maryland hospitals are exempt from the Inpatient Prospective Payment System
(IPPS) and Outpatient Prospective Payment System (OPPS).
In May 2018, CMS renewed Maryland’s request to renew and expand the state’s
all-payer model. Starting in January 2019, physician practices and nursing homes
can voluntarily participate in the program. Maryland hopes to better coordinate
care in the community for nonhospital services, such as for behavioral health and
long-term care services. For patients with chronic illnesses, Maryland will pay
physician practices a management fee for care coordination and other services.
According to a review of the Maryland All-Payer Model in 2018, Medicare
saved $679 million in the “rst 3 years of the program—more than double the
$330 million it had expected to save prior to the model’s implementation (Haber,
Beil, Amico, & Morrison, 2018).
Vermont All-Payer ACO
In December 2017, Vermont state lawmakers approved a budget of $620.8 million
for OneCare Vermont, the state’s multipayer ACO that includes several hospitals
within Vermont and two in New Hampshire, hundreds of physicians, rural health
clinics, and other facilities. #e Green Mountain Care Board, which approves
hospital budgets and insurance prices in Vermont, oversees the ACO.
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304 Part III. Medical Care: Treating Americans’ Medical Problems
!e ACO is a 5-year experiment designed to revamp the way in which
health care is delivered. Primary care providers at participating hospitals and
clinics receive a monthly fee of $3.25 per patient for all covered patients. Providers involved in the care of the sickest patients receive an extra $15 to $25 per
month.
Hospitals are responsible for a total of $21.5 million in “nancial risk, and if
the ACO performs well on a speci”c set of quality measures, all participating
providers will share a $4.3 million bonus. An estimated one in every “ve Vermont
residents will receive care under the OneCare ACO.
!e goal is to hold annual growth in health care costs to no more than 3.5%
for 5 years, starting in 2018. Payments to the ACO, in turn, will increase by a
weighted average of 3.5% annually. !e state expected to have approximately 30%
of primary care physicians participating in the model by the beginning of 2018
and 80% participating by the “fth year (D’Ambrosio, 2017).
Prior to the program launch, Governor Peter Shumlin estimated that the
all-payer system could save the state approximately $10 billion over a decade
(Aloe, 2017).
CONCLUSION
Over the past several decades, health care spending in the United States has
increased faster than general economic growth. !is growth can be attributed
to a “nancing model that has historically rewarded volume over value and that is
fraught with waste; opaque pricing systems with few checks and balances; and a
citizenry conditioned to demand limitless and immediate health care.
Attempts at slowing cost growth have largely focused on reducing payments
to providers or on restraining services covered by insurance companies. !ese
attempts ultimately end up being undone, in part because they often result in
limiting access for patients.
!e current movement toward value in health care seems to have two centers
of gravity. !e “rst can be seen in e#orts to reimagine patient-centered outcome
measurement, with the goal of providing health care that helps patients achieve
the outcomes that matter most to them. !e other is in redesigning care delivery
systems to consider patients’ needs more holistically over the course of a care
episode.
While there are several innovative state-based programs currently under way,
for example, in Maryland and Vermont, with bold ambitions to reimagine health
and health care in very broad terms, e#orts like this remain the exception rather
than the norm. Much of the current, and likely near-term, payment and delivery
system reform is rooted in federal innovation programs or in the private sector
(sometimes with federal backing). Regardless of its source, the buzz and amount
of activity in delivery system reform seems to be an acknowledgment that spending levels may be reaching a tipping point. Public and private innovators alike see
high spending growth as an opportunity as much as they see it as a crisis.
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Chapter 11. Health Care Costs and Value 305
To be sure, there will be no easy !xes to solve the value equation. Importantly, we need to gather data on ongoing programs designed to address the issue.
Whether it is changing payment to reimburse for bundles of services, accountable care models, or the use of technology to reduce unnecessary treatments and
procedures, better data will be needed to provide insights into what saves money
without sacri!cing value and what does not. Organizations such as Kaiser Permanente, in which the provider is the employer and the insurer, have led to cost
reductions and improved outcomes for patients; such models of care should be
analyzed for sustainability and scalability.
“is chapter discussed on costs and value in the delivery of health care services. But what must be kept in clear focus is that spending on medical care does
not address the key determinants of the overall health of a population. “e best
way to keep people healthy is through public health initiatives, prevention initiatives, and social policies that make healthy choices possible and likely. “ese
strategies are not what the medical care enterprise is about; medical care restores
health more than it ensures that a population is healthy over its life span. A key
question for public policy is to think through how much should be spent to create
population health and how much should be spent on recovery-oriented medical
care (see Chapter 5).
CASE EXERCISE—MONITORING OF VALUE
You are a senior manager at a major health care provider in a competitive environment. The
CEO of the medical center informs you that the board of directors has asked that monthly
reporting not be limited to !nancial projections and budget-to-actual reports. Rather, the
board is becoming concerned with evaluating the medical center’s performance on value. The
board still has a !duciary responsibility to ensure the !nancial health of the organization, but
members are increasingly concerned with value provided and not just cost. The CEO asks you
to advise her on what she should propose to the board for such monitoring of value.
As you draft your recommendations, consider the following questions:
1. Why might the board of directors want to monitor value?
2. What indicators would you recommend to the CEO?
3. How would you gather data and evidence that might suggest increasing value for cost?
4. How would you measure success in these value-for-cost efforts?
t
DISCUSSION QUESTIONS
1. Is the growth in health care costs a real concern for the United States? Why or why
not?
2. Comment on the claim that “the U.S. health care delivery system is the !nest in the
world.”
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306 Part III. Medical Care: Treating Americans’ Medical Problems
3. Recent legislation requires insurance companies that o!er coverage for mental health
or substance abuse to provide the same level of bene”ts as they do for medical treatments. What are the implications of this requirement for health care costs? What are
the implications for value?
4. Pharmaceutical companies frequently advertise drugs that require a doctor’s prescription. Consider how such advertising might a!ect drug costs and utilization of services
by patients.
5. An August 4, 2013, a New York Times article described the role of nonmedical costs in
driving up health care. European health care centers are described as “Spartan”—for
example, a Belgian clinic was described as having metal folding chairs, bland wall colorings, and no gift shop. #is was contrasted with a U.S. hospital that had a comfortable waiting room, a fancy lobby, and even newsstands to sell conveniences to patients
and visitors. Discuss these di!erences in light of cost and value. What barriers might
the United States face in making a transition to a more European-style system?
6. In India, doctors are usually consulted only for very di$cult and complicated procedures. Routine procedures are typically handled by lower-skilled health care workers
such as nurse practitioners, nurses, or paramedics. What barriers might the United
States face in making a transition to a more Indian-style system?
7. Discuss three interventions at the provider level and at the state level (where much
regulation occurs) that will increase value for costs in health care. Explain why the
interventions will work. If they will work, why haven’t we implemented them already?
REFERENCES
Aloe, J. (2017). Shumlin pushes new health care model. Burlington Free Press. Retrieved from
https://www.burlingtonfreepress.com/story/news/politics/government/2016/10/06/
shumlin-pushes-new-health-care-model/91531388
Anderson, G. F., Reinhardt, U. E., Hussey, P. S., & Petrosyan, V. (2003). It’s the prices, stupid: Why the United States is so di!erent from other countries.
Health A!airs, 22(3),
89–105.
Baicker, K., & Chandra, A. (2005). “e labor market e!ects of rising health insurance premiums (Working paper no. 11160). Cambridge, MA: National Bureau of Economic
Research. Retrieved from http://www.nber.org/papers/w11160
Barrett, M. L., Wier, L. M., Jiang, H. J., & Steiner, C. A. (2015). All-cause readmissions by
payer and age, 2009–2013. Agency for Healthcare Reporting and Quality, HCUP Statistical Brief #199. Retrieved from http://www.hcupus.ahrq.gov/reports/statbriefs/sb199-
Readmissions-Payer-Age.pdf
Berwick, D. M., & Hackbarth, A. D. (2012). Eliminating waste in U.S. health care.
Journal of
the American Medical Association
, 307(14), 1513–1516.
Berwick, D. M., Nolan, T. W., & Whittington, J. (2008). “e triple aim: Care, health, and
cost.
Health A!airs, 27(3), 759–769.
Blumenthal, D., & Stremikis, K. (2013, September 17). Getting real about health care value.
Harvard Business Review. Retrieved from https://hbr.org/2013/09/getting-real-about
-health-care-value
Buchmueller, T., Carey, C., & Levy, H. G. (2013). Will employers drop health insurance
coverage because of the A!ordable Care Act?
Health A!airs, 32(9), 1522–1530.
Centers for Disease Control and Prevention. (2017). “e 2015 national and state healthcareassociated infection data report. Retrieved from https://www.cdc.gov/hai/surveillance/
data-reports/2015-HAI-data-report.html
EBSCOhost – printed on 3/12/2021 5:04 PM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 11. Health Care Costs and Value 307
Centers for Medicare and Medicaid Services. (2016). Independence-at-home demonstration. Retrieved from https://innovation.cms.gov/initiatives/independence-at-home
Centers for Medicare and Medicaid Services. (2017). Bundled payments for care improvement initiative: General information. Retrieved from https://www.cms.gov/Newsroom/
MediaReleaseDatabase/Press-releases/2017-Press-releases-items/2017–11-30.html
Centers for Medicare and Medicaid Services. (2018). Bundled payments for care improvement initiative: General information. Retrieved from https://innovation.cms.gov/
initiatives/bundled-payments
Cigna. (2018a). UPMC and Washington physician hospital organization collaborate to
improve care and costs in Western Pennsylvania. Retrieved from https://www.cigna
.com/newsroom/news-releases/2018/cigna-upmc-and-washington-physician-hospital
-organization-collaborate-to-improve-care-and-costs-in-western-pennsylvania
Cigna. (2018b). What is Cigna collaborative care? Retrieved from https://www.cigna.com/
newsroom/knowledge-center/aco/
Classen, D. C., Resar, R., Gri!n, F., Federico, F., Frankel, T., Kimmel, N., … James, B. C.
(2011). “Global trigger tool” shows that adverse events in hospitals may be ten times
greater than previously measured.
Health A!airs, 30(4), 581–589.
Collins, S. R., Radley, D. R., Gunja, M. Z., & Beutel, S. (2016).
“e slowdown in employer
insurance cost growth: Why many workers still feel the pinch
. New York, NY: “e Commonwealth Fund.
Cooper, Z., Craig, S. V., Gaynor, M., & Van Reenen, J. (2015, rev. 2018). “e price ain’t
right? Hospital prices and health spending on the privately insured (Working paper
no. 21815). Cambridge, MA: National Bureau of Economic Research. Retrieved from
http://www.nber.org/papers/w21815
Cutler, D., Wikler, E., & Basch, P. (2012). Reducing administrative costs and improving the
health care system.
New England Journal of Medicine, 367, 1875–1878.
D’Ambrosio, D. (2017). Care board #ve-year experiment will focus on keeping patients
healthy.
Burlington Free Press. Retrieved from https://www.burlingtonfreepress.com/
story/news/2017/12/21/care-board-five-year-experiment-focus-keeping-patients
-healthy/957467001/
Dartmouth atlas of health care. (2014). End-of-life care. Retrieved from http://www.
dartmouthatlas.org/keyissues/issue.aspx?con=2944
Dummiit, L. A., Kahvecioglu, D., & Marrufo, G. (2016). Association between hospital participation in a Medicare bundled payment initiative and payments and quality outcomes
for lower extremity joint replacement episodes.
Journal of the American Medical Association,, 316(12), 1267–1278.
Emerick, T., & Lewis, A. (2013).
Cracking health costs: How to cut your company’s costs and
provide employees better care
. Hoboken, NJ: Wiley.
Fisher, E. S., Wennberg, D. E., Stukel, T. A., Gottlieb, D. J., Lucas, F. L., & Pinder, E. L.
(2003a). “e implications of regional variations in Medicare spending. Part 1: “e content, quality, and accessibility of care.
Annals of Internal Medicine, 138(4), 273–287.
Fisher, E.S., Wennberg, D.E., Stukel, T.A., Gottlieb, D.J., Lucas, F.L., & Pinder, E.L. (2003b).
“e implications of regional variations in Medicare spending. Part 2: Health outcomes
and satisfaction with care
. Annals of Internal Medicine, 138(4), 288–298.
Gawande, A. (2015). Health care’s price conundrum.
“e New Yorker. Retrieved from
https://www.newyorker.com/news/news-desk/health-cares-cost-conundrum-squared
Haber, S., Beil, H., Amico, P., & Morrison, M. (2018). Evaluation of the Maryland all-payer
model third annual report. RTI International. Retrieved from http://www.hscrc.state
.md.us/Documents/Modernization/md-all-payer-thirdannrpt.pdf
Hagist, C., & Kotliko$, L. J. (2006). Health care spending: What the future will look like
(Policy report no. 286). Washington, DC: National Center for Policy Analysis.
EBSCOhost – printed on 3/12/2021 5:04 PM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
308 Part III. Medical Care: Treating Americans’ Medical Problems
Harrington, S. E., & Smith, T. J. (2008). !e role of chemotherapy at the end of life: “When
is enough, enough?”
Journal of the American Medical Association, 299(22), 2667–2678.
Hartman, M., Martin, A. B., Espinosa, N., Catlin, A., & National Health Expenditure
Accounts Team. (2018). National health care spending in 2016: Spending and enrollment growth slow a”er initial coverage expansions.
Health A!airs, 37(1), 150–160.
Hayes, S. L, Salzberg, C. A., McCarthy, D., Radley, D. C., Abrams, M. K., Shah, T., & Anderson, G. F. (2016).
High-need, high-cost patients: Who are they and how do they use health
care? A population-based comparison of demographics, health care use, and expenditures
.
New York, NY: !e Commonwealth Fund.
Humana. (2018). Humana launches national value-based model for maternity care: Bundled
payment model aims to improve patient experience and outcomes for Humana commercial group members. Retrieved from https://www.businesswire.com/news/home/
20180418005705/en/Humana-Launches-National-Value-Based-Model-Maternity
-Care
Institute of Medicine. (2012).
Best care at lower cost: “e path to continuously learning health
care in America
. Washington, DC: Author.
International Federation of Health Insurance Plans. (2013). 2012 Comparative price report.
Retrieved from http://hushp.harvard.edu/sites/default/#les/downloadable_#les/
IFHP%202012%20Comparative%20Price%20Report.pdf
Laugesen, M. J., & Glied, S. A. (2011). Higher fees paid to U.S. physicians drive higher spending for physician services compared to other countries.
Health A!airs, 30(9), 1647–1656.
Mitchell, E. (2016). Concentration of health expenditures in the U.S. noninstitutionalized
population, 2014. Agency for Healthcare Research and Quality, Statistical Brief #497.
Retrieved from http://www.meps.ahrq.gov/mepsweb/data_#les/publications/st497/
stat497.pdf
Morris, M., Abrams, K., Elsner, N., & Gerhardt, W. (2016). Practicing value-based care:
What do doctors need?
Deloitte University Press. Retrieved from https://www2.deloitte.
com/insights/us/en/industry/health-care/physician-survey-value-based-care-models.
html
National Committee for Quality Assurance. (2018). Patient-centered medical home recognition. Retrieved from http://www.ncqa.org/programs/recognition/practices/patient
-centered-medical-home-pcmh
Nolte, E., & McKee, M. (2012). In amenable mortality—deaths avoidable through health
care—progress in the U.S. lags that of three European countries.
Health A!airs, 31(9),
2114–2122.
Organisation for Economic Cooperation and Development. (2013).
Health at a glance 2013:
OECD indicators
. Retrieved from http://www.oecd.org/els/health-systems/Health-at-a
-Glance-2013.pdf
Porter, M. E. (2010). What is value in health care?
New England Journal of Medicine, 363(26),
2477–2481.
Porter, M. E., & Teisberg, E. O. (2006).
Rede#ning healthcare: Creating value-based competition on results. Boston, MA: Harvard Business Review Press.
Radley, D. C., McCarthy, D., & Hayes, S. L. (2018).
2018 scorecard on state health system
performance
. New York, NY: !e Commonwealth Fund.
Reinhardt, U. E., Hussey, P. S., & Anderson, G. F. (2004). U.S. health care spending in
an international context: Why is U.S. spending so high, and can we a$ord it?
Health
A!airs
, 23(3), 10–25.
Robert Wood Johnson Foundation. (2013). Finding value in health care: How providers
are addressing rising costs. Retrieved from http://www.rwjf.org/content/dam/farm/
reports/issue_briefs/2013/rwjf405299
Schneider, E. C., Sarnak, D. O., Squires, D., Shah, A., & Doty, M. M. (2017).
Mirror, mirror 2017: International comparison re$ects $aws and opportunities for better U.S. health
care
. New York, NY: !e Commonwealth Fund.
EBSCOhost – printed on 3/12/2021 5:04 PM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 11. Health Care Costs and Value 309
Shah, K. P., & Spinks, T. E. (2017, February 5). How a cancer center rapidly developed
patient-centered outcome measures.
NEJM Catalyst. Retrieved from https://catalyst.
nejm.org/cancer-center-rapidly-developed-patient-centered-outcome-measures
Sood, N., Ghosh, A., & Escarce, J. J. (2009). Employer-sponsored insurance, health care cost
growth, and the economic performance of U.S. industries.
Health Services Research,
44(5), 1449–1464.
Stanford GSB Sta!. (1999). Managed care: What went wrong? Can it be “xed? Retrieved
from https://www.gsb.stanford.edu/insights/managed-care-what-went-wrong-can-it
-be-“xed
UnitedHealthcare. (2018). UnitedHealthcare’s value-based care program for knee, hip
and spine procedures demonstrates improved health outcomes and reduced costs.
Retrieved from https://www.businesswire.com/news/home/20180509005151/en/United
HealthcaresValue-Based-Care-Program-Knee-Hip-Spine
Wade, H. (2012).
Small business problems & priorities, 2012. Nashville, TN: #e National
Federation of Independent Business. Retrieved from http://www.n”b.com/Portals/0/
PDF/AllUsers/research/studies/small-business-problems-priorities-2012-n”b.pdf
Wennberg, J., & Gittelsohn, A. (1973). Small area variations in health care delivery.
Science,
182(4117), 1102–1108.
Woloshin, S., & Schwartz, L. M. (2018). Overcoming overuse: #e way forward is not standing still.
British Medical Journal, 361, k2035.
Yong, P. L., Saunders, R. S., & Olsen, L. (Eds.). (2010).
!e healthcare imperative: Lowering
costs and improving outcomes—workshop series summary
. Washington, DC: National
Academies Press. Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK53920/
pdf/Bookshelf_NBK53920.pdf
EBSCOhost – printed on 3/12/2021 5:04 PM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
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12
High-Quality Health Care
Carolyn M. Clancy and Irene Fraser
LEARNING OBJECTIVES
Explain why quality measurement is important in health care
Explain how health care quality in the United States compares to that in other
countries
Understand methods used to improve quality
Understand the extent to which economic incentives have influenced quality
improvement
Describe recent trends in quality improvement
Discuss the core competencies for health administrators that impact quality
KEY TERMS
handoff
outcomes
pay-for-performance (PFP)
performance measurement
professionalism
TOPICAL OUTLINE
Defining quality in health care
The current state of quality in the United States
Approaches to improving quality
Creating incentives for providers to improve quality
Recent developments affecting quality
The role of managers in promoting quality
© Springer Publishing Company DOI: 10.1891/9780826172730.0012
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

312 Part III. Medical Care: Treating Americans’ Medical Problems
INTRODUCTION
TG is a 55-year-old man with diabetes, high blood pressure, and arthritis in both
knees. As one knee becomes increasingly painful (and sometimes buckles), he is
advised to have a total knee replacement. Surgery
goes well, but TG develops a serious infection.
For months, he’s unable to put any weight on
the operated leg, and for weeks he is forced to
take antibiotics and miss work. TG then has
a second surgery to remove the joint replacement and have a new one placed. !is time, the
operation and recovery both go smoothly. TG’s spouse and family are delighted
that their long odyssey is over, but they wonder: Could they have done something
di”erently? Should they have searched for information on quality and safety about
the physician and hospital, and would doing so have made a di”erence?
Historically, an individual having surgery relied on a physician’s recommendation—or that of a family member or friend—regarding a surgeon and/
or hospital. Today, there are numerous sources of online information regarding
performance for hospitals and other health care organizations. Websites also
provide condition-speci#c information to help people understand what a diagnosis means, the options for treatment, and questions to ask when exploring those
options. !is plethora of information, however, is not easy to navigate, and many
areas have yet to be addressed.
As a result of numerous studies, prestigious reports, and media accounts,
Americans now know that high-quality, safe care is not automatic. Furthermore,
the past 20 years have been marked by widespread e”orts to assess and improve
health care quality. Passage of the 2010 Patient Protection and A”ordable Care
Act (ACA) and the American Recovery and Reinvestment Act of 2009 (ARRA)
created greater momentum toward ensuring quality care by (a) accelerating interest in linking payment for services to results and (b) creating multiple provisions
that put providers on a path to high-quality, a”ordable health care. !e momentum is likely to persist whatever the future is for the ACA.
!is chapter describes the current state of health care quality (including
avoidable harms from care); reviews selected e”orts to conceptualize, measure,
and improve quality; describes how measures are used to guide improvements in
care; addresses promising initiatives to improve care; and predicts how the health
care landscape will evolve in the coming years.
DEFINING QUALITY
Quality is de#ned by the Institute of Medicine (IOM) as “the degree to which
health services for individuals and populations increase the likelihood of desired
The views expressed in this chapter are those of the authors and are not intended to represent
official policy of the Department of Veterans Affairs or the U.S. government.
The authors gratefully acknowledge the expert assistance of Louise Arnheim and Brent Sandmeyer.
Recent research con!rms
that a sizable gap exists
between the
best medical
care and the care that is
routinely provided.*
*To hear the podcast, go to https://bcove.video/2zJpdY8 or access the ebook on Springer Publishing ConnectTM.
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Chapter 12. High-Quality Health Care 313
health outcomes and are consistent with current professional knowledge” (Lohr &
Schroeder, 1990). Implicitly, this de!nition covers both individuals and patient
groups, including those who seek care and those who do not. Furthermore, the
de!nition was intended to focus on outcomes or end results important to individuals
and to recognize that medical knowledge evolves. “e IOM identi!es six dimensions
of quality: Health care should be safe, e#ective, patient centered, timely, e$cient,
and equitable (IOM, 2001). A frequently used shorthand de!nition of quality is “the
right care for the right patient at the right time.”
HOW ARE WE DOING?
“roughout the 20th century, impressive successes in biomedical science and
public health—including dramatic reductions in cardiovascular diseases, the
transition of HIV infection from a death sentence to a highly manageable chronic
condition, and signi!cant reductions in the percentage of Americans who smoke—
resulted in substantial increases in life expectancy by as much as 30 years.
However, multiple studies indicate that there is much room for improvement,
especially in the care of people with chronic illnesses. Research during the past
decade con!rms a sizable gap between best possible care and that which is routinely provided. In addition, international studies comparing health and health
care in the United States with other countries are sobering. A recent Commonwealth Fund study (Schneider, Sarnak, Squires, Shay, & Doty, 2017) of 11 countries
(Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway,
Sweden, Switzerland, the United Kingdom,
and the United States) found that the United
States ranked dead last, as it did in the 2014,
2010, 2007, 2006, and 2004 editions of the
study. At the same time, the study shows, the
United States spent far more on health care
than any of the other 10 countries.
Numerous studies examining the processes and outcomes of care have shown substantial variations in clinical practice (itself
an indicator of questionable quality) and have
resulted in a movement to develop better
methods for determining the relationship between care processes and outcomes.
A recent study, for example, proposed four criteria by which to assess outcome
measures (Baker & Chassin, 2017). “ese e#orts also have revealed underuse, overuse, and misuse of services as well as the substantial time lapse for new scienti!c
!ndings to be translated into practice—a problem that persists to this day.
Most troubling, a growing body of research has shown that medical care too
often fails to deliver the !rst requirement of quality: safety. “e past two decades
have seen increased attention paid to avoidable harms that occur as a result of
receiving care such as health care–associated infections (HAIs), surgical complications, and errors in prescribing and dispensing medications. One analysis,
Numerous studies examining
the processes and outcomes
of care have shown substantial
variations in clinical practice and
have resulted in a movement
to develop better methods for
determining the relationship
between care processes and
outcomes.
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314 Part III. Medical Care: Treating Americans’ Medical Problems
using death rates reported in studies since 1999 and extrapolating to the number of hospital admissions in 2013, identi!ed medical errors as the third leading
cause of death in the United States (251,000 lives) after heart disease (611,000)
and cancer (585,000) (Makary & Daniel, 2016). “e data do not include deaths
from medical errors in other settings—only hospitals.
On a more promising front, research also has shown that conscious, concerted, evidenced-based interventions to improve safety and quality can have
a positive impact. “ere has also been increasing recognition of how factors
external to direct care—including reimbursement, organizational structure,
and leadership—in#uence safety and quality. “e U.S. Agency for Healthcare
Research and Quality (AHRQ), which is mandated by Congress to report annually on the state of health care quality and health care disparities, has found statistically signi!cant increases in a selected set of quality measures across all settings
and populations since 2003. However, the magnitude of improvement has most
often been modest, and disparities in care associated with individuals’ race, ethnicity, age, education, income, and other factors remain pervasive. “e following
sections explore strategies and approaches for making these—as well as other,
larger—improvements.
HOW DO WE IMPROVE QUALITY?
As noted above, health care quality in the United States is by no means optimal.
Moreover, it varies considerably across communities, providers, and even departments in the same facility. How do we improve it? “ere is no easy, simple answer,
and no switch that can be #ipped. Figure 12.1 provides a framework for identifying
the intersection of several major factors in quality improvement. For starters, we
know there are several critical steps that providers or administrators can take:
■■ Measure what you are doing—and with what result.
■■ Know what works clinically, and make sure you are doing it.
■■ Look at how care is organized and delivered and what process improvements might
be made.
■■ Prioritize quality and safety. (“is is especially important for those in leadership
positions.)
Measure What You Are Doing
Human beings are fascinated with measuring things, and this fascination starts
at an early age. First-grade students are given a ruler and asked to measure the
length of the kitchen table, the heights of their parents, or the size of their television. Children tackle such assignments with great enthusiasm, usually surpassing the basic number of items on a teacher’s list. As we grow older, many
of us remain fascinated with measuring things, especially if they are important to us. Golfers, runners, bowlers, and cyclists, for example, frequently keep
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Chapter 12. High-Quality Health Care 315
by Payment, Reporting,
and Other Incentives
INCENTIVIZED
by Evidence and Models
of Successful Design
Strategies
(Microsystems and
Macrosystems)
by metrics for
• Quality and Performance
• Efficiency
• Cost
• Disparities
INFORMED
by Health
Information Technology
FACILITATED
REDESIGN
FOR QUALITY
AND VALUE
RESULTS
MEASURED
Source: Adapted from Fraser, I. (2014). !e role of measurement and data in improving health care quality.
Paper presented to Institute of Medicine Conference on Health System Innovation for E”ective Universal
Health Coverage: Sharing the Experience of the United States and Mexico. Mexico City, Mexico.
FIGURE 12.1 IMPROVING CARE THROUGH SYSTEM REDESIGN
meticulous records on the events in which they have participated to track their
own improvement.
Similarly, health care providers or leaders who seek to improve the quality
and safety of their care start by measuring what they are doing and with what
e!ect. Obviously, health care is more complicated than running or bowling and is
growing increasingly more complex. As a result, determining
what to measure is
no easy task. (And, as discussed later in this chapter, the provider is not the only
person who is measuring.)
A good starting point is with the de”nition of quality provided by Avedis
Donabedian (1988). According to Donabedian, quality consists of three important dimensions: structure, process, and outcomes.
■■ Structure refers to facilities and health care professionals providing care.
■■ Process refers to the set of services provided.
■■ Outcomes refer to the end results that people experience and care about.
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316 Part III. Medical Care: Treating Americans’ Medical Problems
!e earliest e”orts to ensure quality focused on structure, such as urging hospitals to update equipment and check the credentials and training of all health
care workers. As Donabedian consistently emphasizes, although these three
dimensions clearly are interrelated, little is known about their causal linkages. It
is also important to note that, historically, quality has been measured by setting,
with an almost exclusive emphasis on hospitals. Moving forward, it will be critical to account for the growing trend in outpatient care and to measure quality
across sites of care.
One way to think about the distinctions among the three dimensions would
be to consider the need for regular hand washing as a way to prevent hospital
infections (World Health Organization, 2009). In this case, a
structural measure
would be whether there were sinks in, or located next to, each patient’s room.
A
process measure would be the frequency with which providers entering the
room actually washed their hands before touching a patient. An
outcome measure would be the frequency of HAIs.
As this example illustrates, structural measures are the easiest to conduct and
can assess important elements. However, structural measurements are the most
remote from outcome. Having 10 sinks in the room will not prevent an infection
unless the provider uses one of them. Measuring process can bring you closer
to the outcome—for example, hand washing is an e”ective infection prevention
strategy—but does not guarantee the outcome. One could imagine all sorts of scenarios (unsterilized instruments, infected visitors, etc.) in which perfect processes
could couple with unsatisfactory outcomes. As this example also illustrates, external factors (such as the infected visitors) may come into play. To improve quality,
it is critical that providers measure outcomes as well as processes (and structure,
when pertinent). In addition, providers must identify any external factors that may
imperil outcomes and seek ways to exert
in#uence. And, when processes are being
followed but outcomes are not strong, this
is a signal that new processes or interventions need to be identi$ed that will improve
outcomes.
Ideally, process measures derive from
strong evidence that a speci$c service results in an improved outcome. !ese
measures typically are derived from clinical research that shows a particular act
or intervention. For example, giving beta blockers to patients who have su”ered a
heart attack—
all things being equal—will achieve better outcomes.
Process measures are commonly expressed as a percentage of eligible patients
who received a particular service or action (the beta blocker or the washed hands).
Monitoring process measures very closely can be critical to quality improvement.
But it is equally important to monitor outcomes to make sure that there are no
other, unmeasured factors intervening to produce poor outcomes, even with
good process scores. As discussed later in this chapter, consumers and payers
are particularly interested in outcomes. Further, policy makers also are moving
in the direction of outcome measures. One particular area of current interest
Ideally, process measures derive
from strong evidence that a
speci!c service results in an
improved outcome.
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Chapter 12. High-Quality Health Care 317
is development and expansion of patient-reported outcomes (PROs). In e!ect,
this growing interest recognizes that clinical outcomes measured now may not
always represent all of the things that matter to patients (www.qualityforum.org/
Projects/n-r/Patient-Reported_Outcomes/Patient-Reported_Outcomes.aspx).
While each health care provider measures structures, processes, and outcomes individually (and in his or her own way), there is a growing national e!ort
to be more strategic and aligned in the selection and speci”cation of measures.
#is e!ort will enable patients, payers, and policy makers to more meaningfully
compare performance across providers and over time. In 1999, the National
Quality Forum (NQF) was established as a public–private partnership charged
with setting standards for health care quality. NQF began by establishing a
Strategic Framework Board to develop a measurement strategy and set of priorities. Since that time, it has served as the consensus-based standard-setting
organization (Burstin, Leatherman, & Goldmann, 2016; NQF, 2018). #e NQF
uses a multi-stakeholder consensus process to review and endorse proposed
measures. It now has about 300 endorsed measures used by the federal government, states, and private entities in public reporting and payment initiatives
(www.qualityforum.org/about_nqf/work_in_quality_measurement). Over the
years, the NQF has worked to better align similar but competing measures and
expand the proportion of outcome measures, now at more than 30% (Burstin
et al., 2016).
In addition to this greater interest in outcomes, there is growing interest in
measuring the quality of an entire episode of care rather than each individual
service. After all, what a patient cares about
is the quality of the entire treatment plan,
not just how well each individual piece was
performed. Payers moving from fee-forservice to some type of bundled payment or
capitation system also will want to measure
the whole—rather than just the sum—of the
parts. While achieving evidence-based, credible, and reliable measures that cut
across services and even sites of care is a major challenge, it is one that must be
met in order to move the quality agenda forward.
Even though good measures are important, they are meaningless without
good data. #e de”nition of what constitutes good data varies depending on the
purpose the data will serve. For quality improvement, data ideally are (a) readily
available as a by-product of the care process itself, (b) recent enough to permit
analysis and improvement in close to real time, and (c) detailed enough to enable
the posing and testing of hypotheses about which factors were responsible for
current levels of quality or recent changes in quality. External benchmarks and,
especially, examples of high performers can also be useful to prod continuous
improvement and guard against complacency.
Just as measures are meaningless without good data, the utility of both is limited by poor communication. It is often said that health care is data rich but information poor. In other words, every encounter involves information collection,
What a patient cares about is the
quality of the entire treatment
plan, not just how well each
individual piece was done.
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318 Part III. Medical Care: Treating Americans’ Medical Problems
but the information is not easily shared by the multiple providers involved in a
patient’s care. Indeed, most physicians e!ectively “”y blind,” with little (if any)
information about how their practices compare to their peers’ and with limited
capacity to quickly identify all patients in their practice with a speci#c condition or treatment. Important clinical details are most often recorded on paper,
whereas billing is almost universally electronic.
Major data sources for quality assessment include billing data, medical charts
(which are more detailed but expensive and laborious to review), and patient
surveys. Provisions in the ARRA requiring broad adoption of electronic health
records (EHRs) that can be shared among providers should make the task of data
collection easier. $ese provisions should also facilitate more timely feedback to
providers to accelerate improvements in care where needed (see Chapter 14).
Fundamentally, at the front lines of care delivery, the process of measurement itself remains very much a work in progress. For example, a study focusing
on primary care practice use of EHR data to assess quality improvement found
that current functionality “may be insu%cient to support federal initiatives tying
payment to quality measures” (Cohen et al., 2018). $e heterogeneity of the U.S.
health care system means that most hospitals experience separate demands for
information on quality from states, public payers, private-sector payers, accreditors, and others. Advances in measurement science have enhanced our capacity to assess dimensions of care and identify opportunities for improvement. For
example, various tools, such as AHRQ’s State Snapshots, allow care providers
to compare their quality scores with other providers in their region or state and
allow states to compare themselves on numerous quality measures with other
states (www.ahrq.gov/research/data/state-snapshots/index.html). Given this
enhanced focus, coordination of priorities for quality measurement among multiple payers will be required.
Measurement of care is the #rst practical step toward improving care. Determining
what to measure and how to measure are critical to gathering the right
information that will help to improve organizational processes of care and transform health care delivery for the better.
Know What Works Clinically
At its core, health care quality is the sum of multiple individual interactions
between clinicians and patients; hence, most widely used process measures
derive from scienti#c evidence about which treatments work best and for whom.
In practical terms, valid measures re”ect both strong evidence and professional
endorsement; a speci#c treatment or approach represents what should be done
for most individuals with a speci#c condition. $e usual approach occurs when
clinical professional organizations develop and disseminate practice guidelines
from which measures are derived; these measures, in turn, are recognized by
independent private-sector organizations. $is supply chain is highly dependent
on three factors: scienti#c funding, the capacity of professional organizations
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Chapter 12. High-Quality Health Care 319
to conduct technical work and update both guidelines and measures to re!ect
scienti”c advances, and the degree to which data can be obtained to apply the
measure. Policy e#orts to promote adoption of EHRs and other applications of
health information technology should be a game changer, making it easier to collect requisite data and to include reminders and decision support that help to
improve care in real time.
Since publication of the IOM report,
To Err Is Human, which identi”ed
avoidable harms to patients as a result of medical care as a leading cause of death
(IOM, 1999), there has been increased emphasis on identifying what works clinically to prevent avoidable harms. For example, hospitalized patients who are
immobilized for long periods because of injury, surgery, or other factors are at
increased risk for blood clots. Anticipating this risk and administering prophylactic blood thinners reduces the risk dramatically. Similar strategies have been
developed and implemented for common preventable harms. $e IOM report
also directed health care organizations to establish and nurture environments
that encourage all sta# members to speak up with concerns about actual or
potential patient harms.
Improve Organization and Delivery
Although it is critical to perform those services with proven e#ectiveness, doing
so will not ensure quality or good outcomes. Human bodies are complex, and
health care organizations are also complex. In the past, health care primarily consisted of a visit between one patient and one doctor or other provider. Today,
most health care is delivered by increasingly large, complex organizations. Highquality health care requires that all providers—physicians, nurses, receptionists,
technicians—do excellent work as both individuals and as part of collaborative
teams at all organizational levels.
One way to think about this organizational component is to consider a set of
concentric circles with the patient and physician (or other provider) at the center.
At the bedside or in the exam room, it is obviously essential that there be a correct diagnosis and appropriate treatment. Much recent research and quality
improvement e#ort has been directed toward improving safety and quality at this
micro level. As noted earlier, however, clinicians seldom act in a vacuum.
Outside the clinician–patient circle is a “team” circle. $is team might include,
for example, a surgeon and others in the intensive care unit, or one or more primary care clinicians and their other sta#, such as nurses, nutritionists, and a
receptionist. A patient’s quality of care depends on the talents of individual team
members and the quality of the members’ interactions as a team. Based on early
research related to teams, there are now sophisticated tools and training materials to help improve team performance. One example is TeamSTEPPS®, developed
jointly by the Department of Defense and AHRQ, which includes modules on primary care, nursing homes, and care for patients with limited English pro”ciency
(www.ahrq.gov/teamstepps.index.html).
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320 Part III. Medical Care: Treating Americans’ Medical Problems
When looking at ways to improve quality, it is also important to look at the
care processes themselves, both at the team level and across teams (the so-called
meso level of the organization) that might be involved in the care of a particular patient. !is meso level is the next circle out in the set of concentric circles.
Many industries have spent years working to improve their production processes
by closely examining each of the steps involved, seeing how they “t together or
do not “t together, and then asking whether those processes can be improved
to reduce the number of defects or the range of variations. As noted in the “nal
section of this chapter, however, health care has come late to this type of analysis
and improvement.
Finally, to truly achieve quality of care for a patient, it is important to look
at the macro level; that is, how di#erent health care organizations relate to each
other and to the external environment. Because multiple organizations may be
involved in a single patient’s care, patients may still encounter safety and quality
problems even when treated by a talented and coordinated team of professionals.
For example, the patient
handoff (e.g., hospital discharge) is a time of particular vulnerability at the macro level. Discharge is frequently a di$cult and
confusing time for all concerned. Patients and their families have a lot of conversations and receive a lot of paperwork. !ey either return home or go to a
post-acute care facility, where they may have few or no follow-up conversations
with hospital sta#. For patients with little English pro”ciency or health literacy,
or those without easy access to follow-up care, any gap can be especially trouble
some. For example, the discharge planner may not ask the right questions, the
patient may have no regular source of primary care or social support, or the
patient may even be homeless. A patient with these issues may develop complications or require hospital readmission. Although some readmissions might
be planned or result from an unrelated problem, many readmissions result
from complications of care during a recent hospital stay, a problem with discharge planning, problems with post-acute care, or a lack of necessary followup care. Recognition of these issues has prompted the Centers for Medicare
& Medicaid Services (CMS) to use readmission rates as a quality metric
(Centers for Medicare & Medicaid Services, n.d.,b). It also has led to development
of discharge planning toolkits, which have had much success in reducing such
rates.
1 A nationwide public–private partnership—the Partnership for Patients—
has used such toolkits as part of a nationwide campaign to reduce readmission
rates (www.partnershipforpatients.cms.gov).
Recently, there has been considerable experimentation with e#orts to
improve care through other macro-level interventions. A prominent example
is the emergence of primary care medical homes (PCMHs, also called patientcentered medical homes) as a way to achieve coordination of care for patients
1 For an example of a discharge planning training program, see AHRQ’s Project RED
(www.ahrq.gov/professionals/systems/hospital/red/index.html).
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Chapter 12. High-Quality Health Care 321
across multiple organizations, with the primary care provider playing an essential role. !e growth of accountable care organizations (ACOs), in which a single
entity is held accountable for care across the spectrum, provides another example
of a macro-level approach. Finally, some organizations recognize that, in the “nal
analysis, nonmedical services may play an even greater role in health than medical care. Safety net providers, for example, include many nonmedical services
into their mix. Such services may include nutrition counseling, transportation,
or even housing.
Of all of these approaches, micro-level quality improvement is undoubtedly
the easiest and the closest to most clinicians’ comfort zone. Improvements in
care are most immediately visible for services under the direct control of a clinician or a health care organization (such as ordering the right tests for patients
with diabetes or heart disease). Control of cholesterol, diabetes, or asthma, on the
other hand, may require changes not only in patients’ lifestyle choices, but also
in their communities, and achieving these improvements requires coordination
with multiple external organizations.
Prioritize Quality and Safety
As the above discussion makes clear, achieving safety and quality is not easy and
requires that everyone involved look outside the box of their own job description, continually seeking ways to achieve more systemic improvements. Here, the
single most important determinant of that happening is whether organizational
leadership deems quality a top priority. Each day, leaders of health care organizations—including their boards—convey priorities to sta# by the questions they ask,
the outcomes they reward, and so on. E#ective leaders nurture a culture of safety
and quality, which lays the groundwork for quality improvement (Jiang, Lockee,
Bass, Fraser, & Norwood, 2009). Furthermore, organizations di#er substantially
in terms of scores on safety culture surveys, such as those compiled by AHRQ at
www.ahrq.gov/professionals/quality-patient-safety/patientsafetyculture.
Culture is also one of the “ve C’s essential to prioritizing quality and safety
within a given health care organization (see Figure 12.2). Together, they serve as
a framing mechanism for health care leaders to consider, as follows:
■■ Culture: Is the organization one in which employees feel supported in speaking up if
they see something that might lead to potential patient harm? Additionally, does the
health care organization promote continuous learning and improvement?
■■ Capacity: Does the organization have the right mix of clinicians, providers, and specialties?
■■ Capability: Do clinicians have the right tools (data) to do their jobs?
■■ Consistency: Does the organization promote the use of evidence-based research and
best practices to ensure consistency in care?
■■ Candor: Do providers encourage patients to ask questions about their care and work to
promote a truly interactive doctor–patient dialogue? Does the organization promote
transparency and access to information?
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322 Part III. Medical Care: Treating Americans’ Medical Problems
HOW DO WE INCENTIVIZE QUALITY CARE?
!e health care environment is replete with”nancial, policy, and other drivers that
in#uence provider behavior. Improving the quality of health care therefore means
“nding ways to harness these drivers to maximize and align positive incentives
to the provision of quality and to eliminate perverse incentives. Because these
incentives occur within the complex human and organizational environment in
which care is provided, the e$ect of particular incentives varies from institution
to institution, over time, and within institutions. To complicate matters further,
we lack strong evidence of when, how, how much, and why most potential incentives will be e$ective in achieving their intended outcomes while avoiding unintended ones (e.g., manipulating metrics to achieve expected results).
As a starting point, six drivers are discussed: professionalism, public reporting, payment, national and regional quality improvement initiatives, consumerism, and regulation.
Professionalism
Professionalism refers to the conduct, aims, or qualities that characterize members of a given profession. People choose to enter health care over banking, engineering, law, or another profession for a reason. It is important to recognize that
FIGURE 12.2 THE FIVE C’S
EXCELLENCE
Consistency
Capacity
Candor
Culture
Capability
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Chapter 12. High-Quality Health Care 323
most clinicians strive to provide the right care to the right patient at the right
time and take great pride in doing so. In addition, most people who develop measures recognize the importance of using metrics that are credible for their scienti!c content and recognized by the profession as important. Similarly, when
health plans, employers, and community
quality collaboratives use private performance reports as a way to encourage quality improvement, it is important that they
use measures that resonate with physicians
and other providers (Shaller & Kanouse,
2012). In short, e”orts to improve quality
that build on current science and clinicians’
desire to do well by their patients are far
more likely to succeed than those perceived
as “counting the countable” but overlooking
the important aspects of care.
Virtually all licensed professionals are required to document a commitment
to continuing medical education—an enterprise that is increasingly linked to
the challenges confronting clinicians in daily practice. Whereas in the past,
continuing education focused almost exclusively on knowledge (what to do in
speci!c circumstances), far more attention is currently paid to expanding the
focus to include speci!c skills (how to provide speci!c services). In a similar
manner, the medical boards that certify physicians based on their knowledge
have shifted their process to include an explicit link to quality improvement
processes, thereby establishing a direct link between knowledge and actual
performance.
An early example of this approach focused on pediatric practices in North
Carolina. Practices were randomized to receive focused coaching to improve the
delivery of clinical preventive services; all clinicians received continuing education credits in exchange for participation (Margolis et al., 2004).
Major specialty boards are now partnering with large health care organizations to encourage and support physicians to continually refresh their skills and
knowledge. A clear and tangible connection between pride in one’s work and the
tools for assessing quality can be a potent, non!nancial driver of high-performing
organizations.
Public Reporting
Another potential driver for quality is creation and dissemination of comparative
public reports for consumers. Smith and colleagues (Smith, Saunders, Stuckhardt, & McGinnis, 2012) noted that “transparency of process, outcome, price,
and cost information, both within health care and with patients and the public, has untapped potential to support continuous learning and improvement in
patient experience, outcomes, and cost and the delivery of high-value care.”
Efforts to improve quality that
build on current science and
clinicians’ desire to do well by
their patients are far more likely
to succeed than those perceived
as “counting the countable,”
but overlooking the important
aspects of care.
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324 Part III. Medical Care: Treating Americans’ Medical Problems
43
STATES
STATES
25
STATES
18
STATES
8
HOSPITALS
NURSING HOMES
PHYSICIANS
HEALTH
PLANS
Source: Catterson, R. S., Rasenberger, A., & Swi!, E. (2013). Public reporting of health quality and
e”ciency data: Current and upcoming statutory requirements. Report prepared for the U.S. Department
of Health and Human Services, O”ce of the Assistant Secretary for Planning and Evaluation, O”ce of
Health Policy.
FIGURE 12.3 NUMBER OF STATE PUBLIC REPORTING MANDATES BY
PROVIDER CATEGORY
Reports comparing the quality—and sometimes the cost—of individual
facilities or providers have proliferated in recent years. Part of the premise is philosophical, based on a consumer’s right to know about his or her own care. However,
the growing impetus behind publication of public reports is based on the premise
that the availability and use of this information can be a force for improving quality.
Public reports have the potential to improve quality in three ways. First, public
reports theoretically enable consumers to comparison shop for health care—just
as they do for other products—selecting those with higher quality and/or lower
costs (among other reasons, such as convenience). At the very least, an e”ective public report could help an individual consumer identify a hospital, physician practice, or nursing home with higher quality and/or better value. If enough
informed consumers make these choices, the theory goes, the cumulative e”ect
of individual informed decisions could potentially improve quality across the
community, with high-quality providers gaining more business and low-quality
providers losing business.
Second, employers, health plans, and others who contract with providers of
care can favor high-scoring organizations when creating networks of care and
can educate their employees or plan members about the quality di”erences.
#ird, public reports enable health care providers to compare their performance with the performance of their peers. For reasons both professional and
business related, providers do not want to be perceived poorly.
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Chapter 12. High-Quality Health Care 325
Public reports for consumers have increased signi!cantly in the past several
years, driven by state mandates and national legislation, as well as by national
and regional quality improvement e”orts and private transparency e”orts, such
as the Leapfrog Safety Grade, HealthGrades, Consumer Reports, and others. As
Figure 12.3 shows, reports comparing hospital quality are the most common state
mandate, but increasingly, states are requiring quality reports for health plans,
nursing homes, and physicians as well. At the national level, CMS reports publicly on the quality of hospitals, nursing homes, physicians, and other providers.
Additionally, the ACA ushered in a greater emphasis on public reporting. In particular, sections 3014 and 3015 of the ACA call for increased U.S. Department of
Health and Human Services (DHHS) activity in quality measurement and public
reporting.
What do we know about the e”ects of such reports? #e evidence is fairly
clear about the potential e”ect on provider behavior. While some providers
undoubtedly ignore these reports, it is clear that others often take notice and
take action (AHRQ, 2012a). A classic study in Wisconsin showed that hospitals
with public reports were signi!cantly more likely to initiate quality improvement
activities than those with private reports (scores shared only with the individual
hospital) or no reports. #is !nding was particularly true of low-scoring hospitals and the areas in which they had scored poorly (Hibbard, Stockard, & Tusler,
2003). Moreover, making data public brought actual improvements in the clinical
areas reported (Hibbard, Stockard, & Tusler, 2005).
On the other hand, there is less evidence that public reports signi!cantly
change consumer behavior (AHRQ, 2012a). #ere are several reasons for this !nding, and some of those reasons have nothing to do with the reports themselves:
■■ Consumers often are not in a position to choose between two providers. #eir employer
may o”er only one health plan, or their plan may restrict their choice of hospital or
medical group.
■■ Circumstances may not permit a choice: A patient su”ering a heart attack is not in a
position to research options for a hospital.
■■ Patients often rely on physicians for referrals and are not accustomed to seeking information from public reports.
In addition, several factors related to the reports themselves may account for this
consumer behavior:
■■ !e measures: Most of the information in public reports has not been developed in
response to expressed consumer interest, but rather in response to what measure
developers and report producers think should interest consumers and patients, and
which they can easily measure.
■■ Competing reports: With policy interest in transparency growing and public reports on
quality proliferating, confusion reigns regarding scores. Furthermore, the number of
competing reports has resulted in tremendous discrepancy. #ere are two sources of
apparent discrepancies: (a) minor di”erences in measure speci!cations and (b) summary rating systems (“star” systems, or systems focused on a speci!c dimension of
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326 Part III. Medical Care: Treating Americans’ Medical Problems
care, such as patient safety, among others). Multiple studies have documented that
a hospital can get an “A” rating from one system while doing poorly on another
(Rau, 2013).
■■ Information overload: Consumers prefer to start with simple summary measures and
icons and then drill down in accordance with their interests. Many report cards are
designed as online versions of paper reports, with page after page of detailed tables.
■■ Clunky format: Increasingly, consumers rely upon websites and social media for
information. !ese venues support and link to sophisticated, fast search engines
where consumers can prioritize their own preferences as part of the search
process. For the most part, public reports on provider quality lag behind this technology trend.
In an e#ort to assess the state of public reporting, AHRQ partnered with
!e Commonwealth Fund to hold the Summit on Public Reporting. By bringing
together major stakeholders and experts, including researchers, consumers, payers, providers, and policy makers, the Summit organizers sought to discuss the
current state of the art in public reporting, identify major gaps, and to develop
an agenda for the future. In preparation for the Summit, a contractor surveyed
experts and stakeholders for their take on the current state of public reporting.
!e results were daunting: 81% said that even the best existing reports needed
substantial improvement and redesign (AHRQ, 2011).
As a follow-up to the summit, AHRQ partnered in 2012 with CMS to launch
a Science of Public Reporting initiative. !e initiative’s goal was to build the science and to accelerate adoption of proven improvements by CMS, states, and
others developing public reports for consumers. To build the evidence base,
AHRQ funded 17 grants in (a) e#ective design and presentation; (b) e#ective dissemination; and (c) strengthening the underlying data, measures, and methods
(AHRQ, 2012b).
To help capture and disseminate the $ndings, AHRQ produced a special journal issue,
Medical Care Research and Review Supplement (AHRQ, 2014). AHRQ
worked directly with some of the report’s developers, including CMS, to ensure
that $ndings would be used as soon as the evidence became available. !e AHRQ
website links to publications from the grants and identi$es $ndings on the use of
public reporting for physicians and primary care, hospitals, nursing homes, and
home health and hospice (https://www.ahrq.gov/professionals/quality-patient
-safety/quality-resources/tools/sciencepubreport/index.htmlospice). To bolster
take-up and dissemination of $ndings, AHRQ accelerated evolution of My Own
Network Powered by AHRQ (MONAHRQ, available at MONAHRQ.ahrq.gov), a
free, evidence-based website builder that enabled a state or other reporting entity
to download free software from AHRQ (including Hospital Compare data), add
locally available data (state hospital discharge data) to populate reporting $elds,
and create an almost instant public reporting website. While the agency is no
longer investing in this work, many states and localities are still producing public reports based on this tool (www.ahrq.gov/professionals/systems/monahrq/
sites/index.html). In addition, evidence from this work has in%uenced CMS
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Chapter 12. High-Quality Health Care 327
reporting e!orts, such as Physician Compare, Hospital Compare, and Nursing
Home Compare.
Public reporting faces several future challenges:
■■ Linking cost information (ideally, consumer price information) to quality. With the
growing use of high-deductible health plans, consumer interest in price is likely to
grow. Some health plans now produce reports for members that show out-of-pocket
costs, and some states provide these data more widely as well.
2 One important caution
from research to date is the need to display cost and quality information together;
otherwise, a consumer is likely to draw the erroneous conclusion that the higher-cost
service is better (Hibbard, Greene, Sofaer, Firminger, & Hirsh, 2012).
■■ Incorporating social media. With so many consumers—particularly younger ones—
relying on social media to compare products, and so much of social media working
to incorporate health care services, “nding ways to incorporate the growing evidence
base into these outlets will be an important challenge. On the other hand, understanding the importance of creating opportunities for consumers to self-identify what is
important to them in terms of quality and amenities is important to the future of quality measurement and public reporting. Consumers often identify quality factors that
experts overlook.
■■ Increasing the timeliness and clinical robustness of public reports. Consumers are
becoming more and more accustomed to being able to access near real-time information, and providers are rightfully concerned about being judged on the basis of old
information. Although there is hope that EHRs may eventually solve these problems,
it is critical in the short term to take advantage of electronic capabilities to add clinical
detail and speed to existing reports.
Payment
Payment incentives are another set of powerful drivers in the quality landscape.
Any base payment structure brings inevitable incentives. #e typical, traditional
payment system for most providers in the United States has been fee-for-service,
a system that typically has rewarded providers for more services rendered or
longer hospital stays. In the 1980s, the Medicare program moved hospitals to
a diagnosis-related group (DRG) system, in part as a way to reduce incentives
for prolonging hospital length of stay. Under capitation, in which a health plan
is responsible for the care of a de”ned population and is paid a “xed fee per
member per month, the incentive is to reduce the number of high-cost services
(such as hospitalization). (See Chapters 11 and 12 for more detail about payment
approaches.)
In recent years, public and private payers have sought ways to create deliberate, targeted incentives—usually as an overlay on top of fee-for-service or other
payment systems—to reward hospitals, physicians, and others for achieving particular quality or e$ciency goals. #is array of strategies, which variously are
called
pay-for-performance (PFP) or value-based purchasing, builds on the
2 See, for example, the All-Payer Claims Database (www.apcdcouncil.org).
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328 Part III. Medical Care: Treating Americans’ Medical Problems
growing measurement enterprise, often using measures used in public reporting.
One recent survey showed that 10.9% of current payments are value oriented (i.e.,
tied to performance or designed to cut waste), with traditional fee-for-service,
bundled payment, capitation, and partial capitation making up the remaining
89.1% (Catalyst for Payment Reform, 2013). CMS is moving rapidly in the direction of value-based purchasing, with initiatives such as the Hospital Value-Based
Purchasing program, performance bonuses for Medicare Advantage (MA) programs, and the Physician Value-Based Payment Modi!er. In the private sector,
insurers sometimes reward higher quality (and/or lower cost) by selectively contracting with only some providers in the marketplace or by tiering providers,
thereby o”ering consumers lower copayments for some than for others.
Tracking the e”ect of such strategies is not easy, for several reasons:
■■ Incentive size: #e incentive is often relatively small compared with the overall volume of business, and especially compared with the cost of making the improvements
required to reap the reward. Consequently, if there is no e”ect, it is hard to tell whether
a larger incentive might have worked.
■■ Incentive confusion and fatigue: CMS itself has many incentives applied to the same
institutions. Hospitals, for example, have incentives related to readmission rates,
adoption of “meaningful use” of certi!ed EHR technology, and incidence of major
patient safety events, in addition to more targeted incentives such as those in the Hospital Value-Based Purchasing program. In any particular market, these incentives may
or may not be aligned with the incentives from private payers, or even Medicaid. In
addition, sorting out the relative e”ects of public reporting and incentives is no easy
matter.
■■ No pure controls: #e ubiquity of di”ering incentives—coupled with public reporting
e”orts—makes it very di$cult to !nd a control for purposes of evaluation.
■■ Context and implementation: #e e”ect of payment incentives is likely to vary not
only by provider (hospitals versus nursing homes versus physician groups), but also
depending on how providers pass incentives along within the organization.
#ere has been some evaluation of the e”ect of !nancial incentives, but
the wide-range of payment approaches and evaluation strategies complicates
e”orts to draw strong overall conclusions, particularly for evaluations focused
on private-sector strategies. A recent analysis of the 355 evaluations collected in
“Payment Reform Evidence Hub” (McClellan, Richards, & Japinga, 2017) found
that the preponderance of evaluations focused on Medicare and Medicaid, with
less attention paid to commercial payment initiatives. #e analysis also found that
many evaluations that focused on private programs were “internal” in that they
did not release detailed results or speci!cs of how the reform was evaluated.
On the other hand, the Medicare program recently has been ramping up its
move to value-based purchasing in ways that the market has not seen before, so
it is possible that future evaluations may show stronger and broader impact. For
example, CMS now has a voluntary Shared Savings Program, under which physicians, hospitals, and others involved in patient care can create an ACO, which
is in turn is held accountable for the quality, cost, and experience of care for an
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Chapter 12. High-Quality Health Care 329
assigned Medicare population. !ere are several di”erent tracks, each with their
particular #nancial risk arrangements. However, the general idea is that the
ACO can share in the savings achieved from better care (Centers for Medicare &
Medicaid Services, 2018).
With the proliferation of new—and in many cases, stronger—payment incentives, it will be critical that research address the complex question of what
form
of incentives, in what magnitude and under what circumstances, have the power
to produce
which intended consequences, while avoiding unintended consequences. One critical, potential unintended consequence is exacerbation of disparities. Safety net providers, often #nancially fragile, care for many patients with
medical and nonmedical problems (such as
homelessness) that cannot yet be adequately
incorporated into risk-adjustment methodologies. Finding a way to hold all providers to high standards for all patients while
accounting for the greater challenges some
face is a continuing goal.
National and Regional Quality Improvement Initiatives
While the strategies described above can increase the individual and corporate
desire for improvement, change is di$cult at any level. Some of the most dramatic improvements in quality have resulted from deliberate, well-organized,
regional or cross-regional collaborative e”orts. !ese collaboratives start with
evidence about what can work—along with evidence about what facilitates and
impedes implementation—and build and implement a deliberate change strategy.
An excellent example of how various stakeholders came together to successfully strategize and improve quality began with research #ndings by Pronovost
and colleagues. In 2007, Dr. Peter Pronovost and his team at Johns Hopkins
reported the substantial successes of a deceptively simple approach to reducing
infections associated with central line infections (Pronovost et al., 2006).
3 !e
problem is self-evident; central line infections have a mortality rate of 25%, and
the approaches deployed are straightforward: rigorous attention to hand hygiene
sterile technique and avoidance of the lines when feasible. Yet rates of these
infections appeared for many years to be persistently high. !e research team
partnered with Blue Cross in Michigan, all Michigan hospitals (including their
chief executive o$cers), and the Michigan Hospital Association. !ey combined
a straightforward set of practices with empowerment strategies (e.g., any worker
could “stop the line” if procedures were not followed), involvement of senior
leadership, and modest data collection to facilitate rapid feedback. All hospitals
Finding a way to hold all
providers to high standards for
all patients while accounting
for the greater challenges some
face is a continuing goal.
3 Central lines are used to administer treatments that frequently destroy peripheral veins, such
as chemotherapy or high-dose nutrition for patients unable to eat. They are also used to monitor heart and lung function in severely ill patients.
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330 Part III. Medical Care: Treating Americans’ Medical Problems
in Michigan achieved dramatic reductions, and the approach has subsequently
spread to hospitals across the country in collaboration with the American Hospital Association. !e combination of identifying an important problem (HAIs
are easy to understand and fear), engaging senior leadership, leveraging a facility
with data, and using practical strategies for applying data was enormously successful. !e relevant organizational structures were quite di”erent, depending
on hospital size and complexity, but the intervention was highly adaptable.
Some of the most signi#cant examples of this approach include:
■■ Partnership for Patients: !is public–private partnership, led by CMS, includes
multiple other federal agencies, hospitals and national provider organizations, patient
and consumer organizations, state governments, employers, and others. !e aim is to
work with participating hospitals to decrease all-cause patient harm and reduce hospital readmissions (partnershipforpatients.cms.gov/about-the-partnership/aboutthe
partnershipforpatients.html; https://downloads.cms.gov/#les/cmmi/pfp-interimevalrpt
.pdf).
■■ Institute for Healthcare Improvement (IHI): !e IHI, a not-for-pro#t organization
based in Cambridge, Massachusetts, seeks to
organize and mobilize quality improvement and transformation by organizing learning networks and collaboratives in projects to drive and sustain improvement.
■■ Quality improvement organizations (QIOs): QIOs are groups of health quality experts,
clinicians, and consumers who work under the direction of CMS to (a) improve care
for Medicare bene#ciaries and (b) review quality concerns (Centers for Medicare &
Medicaid Services, n.d.,a). As a result of recent legislation, QIOs doing quality improvement will be separate from those doing review.
■■ Community quality collaboratives: !ese multi-stakeholder, regional collaboratives
around the country take an active role in
public reporting, encouraging community
engagement
, and facilitating quality improvement at the regional level.
Consumerism
In the past 20 years, there has been a gradual but marked change in the public’s
expectations regarding health care. Many people are more interested in health
and health care, but also more skeptical about advice that doesn’t feel right for
them. Advances in communication technology, which have reduced asymmetries in health information between health professionals and patients, have surely
accelerated this trend. Moreover, surveys of Americans in the baby boomer age
group have consistently demonstrated less trust in authority in multiple areas—
including medicine—when compared with older cohorts.
As noted in the discussion of public reporting, consumers or patients also
can play an important role in quality. However, the consumer incentive functions
di”erently in the health care market for several reasons:
■■ Because of the private and public insurance system, the purchaser of care is generally
not the actual consumer of that care.
■■ Consumers and patients often lack the information they need to act in their own
interests.
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Chapter 12. High-Quality Health Care 331
■■ Consumers often do not feel empowered to question their medical care team on recommended services or drugs in the way they would question, for example, a car mechanic or
a roofer. Shortened medical visits do not make it any easier for patients to ask questions.
■■ Medical care services are only one factor that a!ects health. Lifestyle factors (such as
obesity, low activity levels, poor diet, and smoking) have a larger e!ect on health than
medical care.
■■ Even though consumers have an incentive to be healthy, good health is a more distal
goal that often cannot compete with immediate grati”cation.
To improve quality and outcomes, it is important to activate and align the
incentives of patients, consumers, and providers. In the past few years, several
developments have created steps in that direction:
■■ Increased transparency in quality and price is starting to provide some of the information needed for consumers to make better choices, and the increased availability of
clinical information on the Internet and social media is also making useful information
more accessible to patients.
■■ Higher copays and deductibles are creating an environment in which consumers are
motivated to choose a better-value provider and to question services they will purchase out of pocket. Unfortunately, past research (Chernew & Newhouse, 2008) has
shown that increasing out-of-pocket payments leads patients to reduce their use of
both necessary and less necessary services.
■■ Value-based insurance design—in which copays for services of questionable utility are
high and copays for critical services are low or nonexistent—is a recent e!ort to be
more strategic in the use of consumer “nancial incentives.
■■ Another path for incentivizing consumers is to alter the price of insurance based on
health habits—for example, by charging smokers more or providing a reward to smokers who successfully quit. #is is a very common approach for employers.
Regulation
Periodic inspections of health care facilities through accreditation combined
with explicit processes for verifying the credentials and skills of clinicians (often
referred to as
credentialing) have been mainstays of the regulatory approach to
health care quality. Historically, accreditation was conducted periodically and
represented basic competence in operations important to care quality, such as
sterile processing and environment of care. In addition, concerns about whether
requisite improvements were sustained could not be fully allayed. Recently, CMS
has been placing increased emphasis on #e Joint Commission and other accreditation organizations to prioritize issues according to potential or likely impact
on patient safety and to apply more rigorous approaches to assuring sustained
improvement. In addition, CMS has instituted periodic comparisons of accreditation “ndings to those found by their state inspectors (CMS, 2017). #e application
of this approach, however, has con”rmed that accreditation and credentialing are
necessary but far from su$cient to guarantee provision of high quality care. No
site visit or process can guarantee that care will be high quality, but accreditation
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332 Part III. Medical Care: Treating Americans’ Medical Problems
organizations are now using tougher approaches to following up identi!ed problems, including multiple unannounced inspections.
WHAT ARE MAJOR RECENT DEVELOPMENTS AFFECTING QUALITY?
Achieving high-quality health care is a high priority for many stakeholders. For
patients, quality can be a life-or-death matter. Some of the initiatives described
earlier, such as public reporting and payment incentives, have been deliberate
e”orts to a”ect quality. In recent years, passage of the ACA has been the single
most important development a”ecting quality. However, other new forces are
also at work.
The Patient Protection and Affordable Care Act
#e ACA, signed into law in 2010, is primarily recognized for its e”ects on
health care coverage. #e ACA has expanded access to health insurance to millions of Americans. It also provided patient and consumer protections (e.g.,
eliminating use of preexisting condition limitations and lifetime caps on covered expenses).
Far less attention has been paid to the law’s explicit recognition that sustaining the promise of expanded health care coverage demands e”orts to promote
and incentivize high-quality, a”ordable care. Numerous provisions in the law
address many aspects of quality, such as improving measure selection, testing
new models of care, and supporting research about which treatments work for
patients. In addition, the ACA requires the development and annual update of
a !rst-ever National Strategy for Quality Improvement (www.ahrq.gov/working
forquality). Selected examples are described here:
■■ Building on current e!orts: In the past decade, there have been incremental policy steps
encouraging or requiring performance transparency in selected domains. Starting with
voluntary e”orts, progressing through what has been termed “pay for reporting” (a
small percentage of annual update tied to reporting on quality), to linking achievement
of selected quality goals to reimbursement (value-based purchasing), this journey also
has included expansion in the number and types of metrics, including surveys to assess
patients’ experiences of care. #e ACA requires that this approach be expanded to
other settings—including rehabilitation and skilled nursing facilities—and that the
incentives be increased over time.
Combined with subsequent legislation, the ACA has resulted in a strong focus on
value-based payment through a broad array of initiatives that link some portion of
payment to quality of care. #e most common examples include payment penalties for
avoidable hospital admissions within 30 days of hospital discharge, hospital payments
in%uenced by both quality and patient experience assessments, and bundled payments.
#e latter approach incentivizes coordination across care settings and providers
through the use of a set price for all services for a clearly de!ned episode of care, such
as elective joint replacement. #ese initiatives, combined with similar private-sector
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Chapter 12. High-Quality Health Care 333
programs, represent a fundamental foundation for transitioning to payments that
reward value rather than volume.
Evidence to date indicates a reduction in potentially avoidable hospital readmissions
and signi!cant reductions in several common HAIs. Experience to date also suggests
nontrivial challenges in organizing !nancial and clinical data around episodes of care
rather than care setting. However, continued increases in health care expenditures
make it highly likely that improving quality and safety through payment incentives will
continue to expand (Chee, Ryan, Wasfy, & Borden, 2016).
■■ Testing new approaches: “e ACA created a new Center for Innovation at CMS, which
supports the development and application of new approaches to !nancing linked with
quality requirements. Examples include bundled payments, in which one payment is
made for a broad array of services provided within one discrete episode of care, as well
as support for ACOs, which integrate services and payments across multiple settings
and establish virtual integrated organizations. A unique feature of the ACA allows
successful demonstrations or models to be continued and possibly incorporated into
future policy updates.
■■ Primary care (or patient-centered) medical home: “e PCMH is part of a professional
movement to revitalize and reinvent the delivery of primary care. “e ACA includes
multiple provisions to support and evaluate this new approach to primary care, which
includes a strong focus on care organized around the patient’s needs and preferences,
a reliance on care teams rather than on individual clinicians, integration of mental
health services, and reliable after-hours care.
Although these models are still evolving, they are important because the combination of increased needs associated with an aging population and expanded
access to insurance is expected to place high demands on the primary-care sector.
Role of Nongovernmental Organizations
Many nongovernmental organizations also play a signi!cant and evolving role in
quality and quality improvement by developing and endorsing measures, accrediting health care organizations, conducting research on quality improvement at the
micro- and macro-levels, using market power to encourage change, and facilitating
use of emerging evidence to bring about transformation. Below are some examples:
■■ National Quality Forum: “e NQF, a not-for-pro!t, membership-based organization,
has a major role in quality measurement. As noted earlier, it endorses standards for
performance measurement. In particular, NQF reviews and endorses measures for
use in public reporting and payment.
■■ !e Joint Commission and other accreditation organizations: As noted above, “e
Joint Commission, another not-for-pro!t organization,
accredits and certi”es
health care organizations and programs. “is accreditation is critical to hospitals
and other organizations because CMS requires accreditation as a condition of participation in the Medicare program. Since 2008, other accreditation organizations
have been approved by CMS to ful!ll that responsibility (www.cms.gov/medicare/
provider-enrollment-and-certification/surveycertificationgeninfo/downloads/
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334 Part III. Medical Care: Treating Americans’ Medical Problems
accreditation-organization-contact-info.pdf). Historically, accreditation has been seen
as ensuring minimal competence to provide safe, high-quality care. In recent years,
CMS has required these organizations to develop and implement more rigorous standards and to demonstrate sustained improvements when problems are identi!ed. In
addition, CMS annually compares observed !ndings from accreditation organizations
with !ndings from their state surveyors in a proximal time period (CMS, 2017).
■■ National Committee for Quality Assurance (NCQA): “e NCQA also accredits and certi!es health care programs. While its particular initial focus was health plans, NCQA
has expanded its scope to include disease management organizations, PCMHs, and
ACOs. It also originated, maintains, and updates Healthcare E#ectiveness Data and
Information Set (HEDIS)
measures of health plan performance.
■■ University research programs: Research programs at major universities around the
country, funded by the National Institutes of Health, AHRQ, and private foundations,
develop
measures of quality and safety as well as evidence on how to improve quality
and safety at both the micro and macro levels.
■■ Employers and employer organizations: Large employers and employer organizations,
such as the National Business Group on Health and the National Business Coalition on
Health, have a stake in both employee health and health care costs. Individually and as
a group, they seek to
incentivize higher quality and value.
■■ Catalyst for Payment Reform: “e Catalyst for Payment Reform is an independent
nonpro!t, member-based organization of about 30 employers. Formed in 2009 with
the goal of helping employers get better value for their health care dollar, the group
aims to move health care payment from volume based to value based and to use purchaser power to improve the health care system (www.catalyze.org/about-us).
■■ Leapfrog: “e Leapfrog Group is a national nonpro!t organization founded in 2000 to
drive a movement designed to achieve “giant leaps forward in the quality and safety
of American health care.” A major initiative is the Leapfrog Hospital Safety Grade,
which uses nationally available data on hospital safety and data from the organization’s annual survey of hospitals to assign patient safety letter grades to hospitals (www
.leapfroggroup.org/about).
■■ Patient groups: Increasingly, patient groups are advocating for additional research on
quality, particularly as it relates to a speci!c disease or condition. Some groups, such
as the National Breast Cancer Coalition (NBCC) and the Arthritis Foundation, are
leading national initiatives in this regard.
●■ For nearly 20 years, NBCC has been a national leader in health care quality, beginning
with its Quality Care Initiative (a “patient-centered, evidence-based vision of quality
care” for those with breast cancer) and including its landmark publication,
Framework
for a Health Care System Guaranteeing Access to Quality Health Care for All
(www.breastcancerdeadline2020.org/about-nbcc/quality-care/nbcc-health-care
-framework.html).
●■ “e Arthritis Foundation has combined forces with several other groups (including
the Childhood Arthritis and Rheumatology Research Alliance and the Dartmouth
Institute for Health Policy and Clinical Practice) to pilot the Rheumatology Learning Health System (RLHS), a model that integrates self-reported patient information, data from a patient’s clinical visit, and data from arthritis patient registries
to create the foundation for a “personalized patient–doctor dialogue” (http://blog
.arthritis.org/news/tag/rheumatology-learning-health-system/).
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Chapter 12. High-Quality Health Care 335
Lean
Lean, a tool developed by the automotive industry in Japan, is gaining increased
interest as a way to improve health care quality and e!ciency in the United States.
Lean provides this “ve-step process for improving quality:
1. Specify value from the standpoint of the end customer by product family.
2. Identify all the steps in the value stream for each product family, eliminating wherever
possible those steps that do not create value.
3. Make the value-creating steps occur in tight sequence so that the product will #ow
smoothly toward the customer.
4. As #ow is introduced, customers pull value from the next upstream activity.
5. As value is speci”ed, value streams are identi”ed, wasted steps are removed, and #ow
and pull are introduced, begin the process again and continue it until a state of perfection is reached in which perfect value is created with no waste. (Lean Enterprise
Institute, n.d.)
Lean has been used successfully to redesign health care. For example, Denver
Health implemented a Lean system redesign in 2005, and between 2006 and 2008
achieved the following results: a 50% lower registration time in eight federally
quali”ed health centers, lower patient cycle times and no-show rates, 25% higher
provider productivity in clinics, $14 million in cumulative savings, and $3.5
million in increased clinic revenues (AHRQ, 2007).
Even though examples such as Denver Health show promise, there has been
little systematic evaluation of whether, and under what circumstances, interventions such as these can achieve similar success across a wide variety of systems.
While there have been some reviews of publications on Lean in health care,
these reviews and most of the underlying studies concentrate on a narrow band
of project outcomes, such as quality or e!ciency. Although it is clear from this
work that Lean
can be successful, less is known about the factors necessary for
such success: for example, the organizational processes supporting implementation, characteristics of implementing organizations, or interactions between
Lean and other features of the organizational context. A recent study by AHRQ
(Harrison et al., 2016) provides an understanding of how context shapes Lean
implementation.
Patient and Family Engagement
As noted earlier, many local and regional e$orts to promote transparency in quality performance have developed through the establishment of multi-stakeholder
coalitions that include consumers, employers, health care providers, insurers, and
other parties. In a similar vein, an increasing number of health care organizations
have sought the experiences of patients and families to inform their e$orts to
deliver services focused on patients’ needs and preferences. Studies have revealed
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336 Part III. Medical Care: Treating Americans’ Medical Problems
that patients and families often observe aspects of care not immediately visible
through other sources; capturing those observations and experiences can provide
important insights about the care experience through the patient’s eyes. Some
observers have labeled patient engagement the “blockbuster drug” of the 21st
century.
Even though many governing boards have long included at least one public
representative, Massachusetts now requires all hospitals to have a formal patient
and family advisory council. AHRQ also has supported an e!ort to develop and
evaluate a survey tool that builds on patient and family experiences of care to
improve patient safety.
Finally, it is critical to note the role of social media in consumer engagement.
Whether via Facebook post, online review (including Yelp), or Tweet, consumer
engagement via social media is far-reaching in terms of audience and immediate
in impact. Often, however, there is no credible, third-party mediator. “e “good
news” is that social media generates greater information sharing and dialogue; the
“bad news” is that social media generates information sharing and greater dialogue
that may amplify misleading and erroneous information. Nevertheless, it is clear
that the patient’s voice represents a vital component of current and future e!orts
to continuously improve health care delivery.
CORE COMPETENCIES FOR HEALTH ADMINISTRATORS
Until recently, administrators have not necessarily made assessing and improving
the quality of care a top priority. Yet, increasingly, the bottom line for all health
care facilities—and therefore the priority for administrators—will be an explicit
focus on care quality, that is, quality that is transparent and veri#able, rather than
simply reputed. As a result, health care administrators need a solid grounding in
quality measurement and in the design and evaluation of interventions and programs to improve quality (Lloyd, 2010a, 2010b).
Pragmatically, the function and structure of quality improvement have
evolved considerably in the past 20 years in response to policy, regulatory, and
other initiatives. It is also fair to acknowledge, however, that the constellation of
disciplines, skills, and triggers for action is still quite dynamic. One fundamental consideration is the extent to which functions are centralized (e.g., a quality
department) or distributed (quality is everyone’s job), focused on improvement
versus minimizing or avoiding risk, and internal to a health care organization
versus external to it (e.g., payers writing requirements into contracts).
“e steady expansion of policy initiatives—especially growing requirements
for performance transparency and value-based purchasing—has prompted multiple formal activities, initiatives, and an emerging critical mass of organizations o!ering technical assistance and tools to advance internal improvements.
At the same time, it is clear that external demands from payers, regulators, and
consumer groups for enhanced transparency remain important to help drive
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Chapter 12. High-Quality Health Care 337
improved performance. Moreover, continued increases in health care spending
are also motivating increased demands for demonstrating value as well as quality.
!e example described earlier regarding the prevention of central line infections is illustrative of several key competencies. First, it demonstrates the need
to be aware of the evidence on quality shortfalls as well as improvement potential. Second, it underscores the importance of both a willingness and an ability
to engage with other stakeholders. !ird, it shows how the ability to utilize and
apply data is vital to success.
It is eminently clear that a health administrator’s facility with performance
data—including the capacity to present the information in di”erent ways to different audiences (e.g., standardized infection rates versus days since there’s been
no infection in a given unit)—is, and will continue to be, a core competence.
Note that this implies a full grasp of the application of data to identify and solve
problems rather than simply conducting the requisite analyses, though a grounding in statistics is also imperative (e.g., how often should hand-washing rates
be assessed?). Nurses have arguably led the way in monitoring compliance with
regulations and policies as a core component of quality assessment, but the full
team required now includes clinicians from multiple disciplines. !e ability to
motivate, persuade, and communicate e”ectively is also a clear prerequisite.
Since publication of the results by Pronovost and colleagues (2006), an
increasing number of payers now require reporting of di”erent HAIs and/or
incorporate HAI rates in their payment strategies. In light of this payer role in
quality, many health administrator positions are now in insurance companies,
large employers, or public payers. Improving quality from the payer side requires
many of the skills described earlier, but because the speci#c actions are one step
removed from actual delivery, improvement from this side also requires the ability to specify requirements, share results with employees/consumers/patients to
inspire them to choose high-quality care, and recognize when reported results
don’t add up.
Addressing near-term challenges speci#ed by the ACA—including the prevention of HAIs, avoidable hospital readmissions, and avoidable patient harms—
also requires a new vision for understanding how individual health care facilities
relate to others in the community or region.
For example, policies that promote decreased payments for higher-than-average
readmission rates will motivate hospitals to work with community partners in very
di”erent ways to address the cause of the poor performance (e.g., limited primary
care capacity, limited after-hours care, poor health literacy among patients in the
community, or something else). Similarly, the ACA’s provisions to promote health
(e.g., addressing the upstream causes of disease and illness) will also blur traditional hospital boundaries. In other words, the hospital administrator’s job will no
longer be con#ned within hospital walls, but will require working with community
partners—perhaps via health education and disease prevention programs.
While inpatient care has been the major focus of e”orts to promote improved
quality, steady declines in hospital discharges for the past 8 to 10 years (due, in part,
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338 Part III. Medical Care: Treating Americans’ Medical Problems
to advances in technology that enable ambulatory delivery of services that once
typically required hospitalization; i.e., a growing number of surgical procedures)
mean that ensuring quality and value will require the same skills applied to assessing quality of care in ambulatory settings. Indeed, many current initiatives such
as bundled payments require attention to developing data streams that permit
easy linking of care across sites. A recent study of Veterans Health Administration
(VHA) care for patients with congestive heart failure is illustrative. !e authors
found that mortality rate over time for all veterans with heart failure, independent
of where care was provided, varied substantially across facilities in the veterans’
health care system (Groeneveld et al., 2018). !ese results stand in sharp contrast
to a study comparing hospital quality for veterans over age 65 seen in VHA facilities with that for patients seen in private-sector hospitals over a 10-year period. In
this study, VHA patients over age 65 had better outcomes on all quality measures,
including mortality, than did Medicare patients (Nuti et al., 2016). !is apparent discrepancy underscores limitations in current measurements and the importance of linking care processes to outcomes (Heidenreich, 2018).
In short, a focus on improving quality and safety cannot be outsourced to
the quality department or team. To succeed and thrive, every department within
a health care organization must make improving quality and safety a strategic
imperative. !e success of current and future health administrators will likely
depend on their willingness and skill to engage clinical colleagues, payers, and the
broader community to achieve shared goals.
CONCLUSION
Success in the years ahead will depend on the ability of administrators to implement change and continuously enhance environments that meet the following
goals: (a) promote excellence in response to individual patient needs and preferences, (b) promote e”ective teamwork, and (c) celebrate e”orts to identify innovations that make the right thing to do the
easy thing to do. In short, one hopes
that today’s status quo will be unrecognizable in a few short years, as health care
delivery overall responds to public and policy incentives for superb care and links
that response closely to broad e”orts aimed at promoting health and reducing the
need for high-intensity services. !e public should expect no less.
CASE EXERCISE—USING DATA TO SUPPORT SUSTAINABILITY
You are the CEO of a 200-bed community hospital that serves an increasing number of older
patients. Your top priority is the quality and safety of care. Given the recent economic downturn and decreased Medicare reimbursement to your facility, you are increasingly concerned
about the hospital’s ability to stay open and continue serving all of the community.
You have heard that Medicare hospital payments will continue to be trimmed for patients
who experience harms considered to be largely preventable: for example, blood clots,
t
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Chapter 12. High-Quality Health Care 339
surgical infections, ventilator-associated pneumonias, health care–acquired infections (HAIs),
and others. You want to ensure your hospital takes every precaution to prevent all possible
avoidable harms to patients.
With the help of your assistant, you summarize the challenges before you as follows:
■■ Medicare-denied payments focus exclusively on the additional care required to treat
injury or condition arising from a preventable harm (such as when a second procedure is
required to retrieve a surgical instrument).
■■ To date, the denied payments have pertained only to hospital care. However, you also
know that some analysts are recommending that the same policy be applied to physician
payments.
■■ One measure your hospital already has taken is to require that all workers who interact
with patients wash their hands in order to prevent HAIs. Although this would seem a
simple and obvious initiative, its success has been limited.
■■ You also learn that your hospital’s patient safety department isn’t tracking the kinds of
events for which the hospital may be !nancially penalized.
■■ Finally, you are aware that the ACA affects hospital payment in another way: by trimming
reimbursements for potentially avoidable hospital readmissions. As noted earlier, your
hospital serves a high proportion of older patients. Many of them currently have multiple
admissions for acute exacerbations of chronic illnesses, such as congestive heart failure
and diabetes. In the future, these multiple admissions could become very costly.
Consider how you would address these leadership challenges. Be sure to address the following questions:
1. Who on your senior team should lead this effort?
2. Who else should be involved?
3. What precisely are you charging the team to do?
4. Who will help to communicate this effort to all front-line staff?
5. What kinds of systems need to be created to track progress?
6. What external resources could be utilized?
7. What are three items you’d like to measure?
8. How do you set up a system in such a way as to increase the likelihood of sustainability?
DISCUSSION QUESTIONS
1. Why is it important to measure both processes and outcomes? What are the opportunities and challenges for each type of measure?
2. What is the range of factors beyond the patient–physician (or other clinician) dyad
that can a!ect quality of care for the patient?
3. What are the most promising new developments likely to improve health care quality?
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340 Part III. Medical Care: Treating Americans’ Medical Problems
4. How do public reporting and payment incentives a!ect the quality of care by hospitals, physicians, and others?
5. How can a health care leader best mobilize the power of professionalism as a force
for quality? How can such strategies align with other incentive systems such as public
reporting and payment?
REFERENCES
Agency for Healthcare Research and Quality. (2007). Managing and evaluating rapid-cycle
process improvements as vehicles for hospital system redesign: Continued
. Rockville,
MD: Author. Retrieved from http://archive.ahrq.gov/research/!ndings/!nal-reports/
rapidcycle/rapidcycle1.html
Agency for Healthcare Research and Quality. (2011, March 23).
National summit on public
reporting for consumers
. Washington, DC: Author.
Agency for Healthcare Research and Quality. (2012a).
Public reporting as a quality improvement strategy: A systematic review of the multiple pathways public reporting may in!uence quality of health care. Rockville, MD: Author.
Agency for Healthcare Research and Quality. (2012b).
Building the science of public reporting: Research grants. Rockville, MD: Author. Retrieved from http://www.ahrq.gov/
professionals/quality-patient-safety/quality-resources/tools/sciencepubreport/index
.html
Agency for Healthcare Research and Quality. (2014).
State snapshots. Rockville, MD: Author.
Retrieved from http://www.ahrq.gov/research/data/state-snapshots
Baker, D. W. & Chassin, M. R. (2017). Holding providers accountable for health care outcomes.
Annals of Internal Medicine, 167(6), 418–423. doi: 10.7326/M17-0691
Burstin, H., Leatherman, S., & Goldmann, D. (2016). “e evolution of healthcare quality
measurement in the United States.
Journal of Internal Medicine, 279(2), 154–159.
Catalyst for Payment Reform. (2013). National scorecard on payment reform. Retrieved from
http://www.catalyzepaymentreform.org/images/documents/NationalScorecard.pdf
Catterson, R. S., Rasenberger, A., & Swi#, E. (2013). Public reporting of health quality and
e$ciency data: Current and upcoming statutory requirements. Report prepared for the
U.S. Department of Health and Human Services, O$ce of the Assistant Secretary for
Planning and Evaluation, O$ce of Health Policy.
Centers for Medicare & Medicaid Services. (n.d.,a). Quality improvement organizations.
Retrieved from http://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment
-Instruments/QualityImprovementOrgs
Centers for Medicare & Medicaid Services. (2017). FY 2016 report to Congress (RTC):
Review of Medicare’s program oversight of accrediting organizations (AOs) and the
Clinical Laboratory Improvement Amendments of 1988 (CLIA) validation program.
Centers for Medicare & Medicaid Services. (n.d.,b). Hospital quality initiative. Outcome
measures. Retrieved from https://www.cms.gov/Medicare/Quality-Initiatives-Patient
-Assessment-Instruments/HospitalQualityInits/OutcomeMeasures.html.
Centers for Medicare & Medicaid Services. (2018). Medicare Shared Savings Program.
Retrieved from https://www.cms.gov/Medicare/Medicare-Fee-for-ServicePayment/
sharedsavingsprogram/about.html
Chee, T. T., Ryan, A. M., Wasfy, J. H, & Borden, W. B. (2016). Current state of value-based purchasing programs.
Circulation, 133(22), 2197–2205. doi:10.1161/CIRCULATIONAHA
.115.010268
Chernew, M. E., & Newhouse, J. P. (2008). What does the RAND health insurance experiment tell us about the impact of patient cost sharing on health outcomes?
American
Journal of Managed Care
, 14(7), 412–414.
EBSCOhost – printed on 3/12/2021 5:05 PM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 12. High-Quality Health Care 341
Cohen, D. J., Dorr, D. A., Knierim, K., DuBard, C. A., Hemler, J. R., Hall, J. D., … Balasubramanian, B. A. (2018). Primary care practices’ abilities and challenges in using
electronic health record data for quality improvement.
Health A!airs, 37(4), 635–643.
doi:10.1377/hltha!.2017.1254
Donabedian, A. (1988). “e quality of care: How can it be assessed?
Journal of the American
Medial Association
, 260(12), 1743–1748.
Fraser, I. (2014). “e role of measurement and data in improving health care quality. Paper
presented to Institute of Medicine Conference on Health System Innovation for E!ective Universal Health Coverage: Sharing the Experience of the United States and Mexico. Mexico City, Mexico.
Groeneveld, P. W., Medvedeva, E. L., Walker, L., Segal, A. G., Richardson, D. M., & Epstein,
A. J. (2018). Outcomes of care for ischemic heart disease and chronic heart failure
in the Veterans Health Administration.
Journal of the American Medical Association
Cardiology, 3
(7), 563–571. doi:10.1001/jamacardio.2018.1115
Harrison, M. I., Paez, K., Carman, K. L. Stephens, J., Smeeding, L., Devers, K., & Gar#nkel,
S. (2016). E!ects of organizational context on Lean project implementation in #ve hospital systems.
Health Care Management Review, 41(2), 127–144.
Heidenreich, P. A. (2018). In pursuit of better measures of quality care.
Journal of the American
Medical Association Cardiology, 3
(7), 553–554. doi:10.1001/jamacardio.2018.1204
Hibbard, J., Greene, J., Sofaer, S., Firminger, K., & Hirsh, J. (2012). An experiment shows
that a well-designed report on costs and quality can help consumers choose high-value
health care.
Health A!airs, 31(3), 560–568.
Hibbard, J., Stockard, J., & Tusler, M. (2003). Does publicizing hospital performance stimulate quality improvement e!orts?
Health A!airs, 22(2), 84–94.
Hibbard, J., Stockard, J., & Tusler, M. (2005). Hospital performance reports: Impact on quality, market share, and reputation.
Health A!airs, 24(4), 1150–1160.
Institute of Medicine. (1999).
To err is human—Building a safer health system. Washington,
DC: National Academies Press.
Institute of Medicine. (2001).
Crossing the quality chasm: A new health system for the 21st
century
. Washington, DC: National Academies Press.
Jiang, H. J., Lockee, C., Bass, K., Fraser, I., & Norwood, E. P. (2009). Board oversight of quality: Any di!erences in process of care and mortality?
Journal of Health Care Management, 54(1), 15–30.
Lean Enterprise Institute. (n.d.). Principles of Lean. Retrieved from www.lean.org/whatslean/principles.cfm
Lloyd, R. (2010a). Helping leaders blink correctly: Part 1.
Health Care Executive, 25(3), 88–
91. Retrieved from http://www.ache.org
Lloyd, R. (2010b). Helping leaders blink correctly: Part 2.
Health Care Executive, 25(4),
72–75. Retrieved from http://www.ache.org
Lohr, K. N., & Schroeder, S. A. (1990). A strategy for quality assurance in Medicare.
New
England Journal of Medicine
, 322(10), 707–712.
Makary, M. A., & Daniel, M. (2016). Medical error—the third leading cause of death in the
U.S.
British Medical Journal, 353, i2139.
Margolis, P. A., Lannon, C. M., Stuart, J. M., Fried, B. J., Keyes-Elstein, L., & Moore, D. E., Jr.
(2004). Practice-based education to improve delivery systems for prevention in primary
care: Randomised trial.
British Medical Journal, 328(7436), 388. Retrieved from http://
www.ncbi.nlm.nih.gov/pubmed/14766718
McClellan, M., Richards, R., & Japinga, M. (2017). Evidence on payment reform: Where are
the gaps?
Health A!airs blog. Retrieved from https://www.healtha!airs.org/do/10.1377/
hblog20170425.059789/full
National Quality Forum. (2018). Patient-reported outcomes: “e opportunity. Retrieved
from https://www.qualityforum.org/Projects/n-r/Patient-Reported_Outcomes/Patient
-Reported_Outcomes.aspx
EBSCOhost – printed on 3/12/2021 5:05 PM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
342 Part III. Medical Care: Treating Americans’ Medical Problems
Nuti, S. V., Qin, L., Rumsfeld, J. S., Ross, J. S., Masoudi, F. A., Norman, S. T., … Krumholz,
H. M. (2016). Association of admission to Veterans A!airs hospitals vs. non–Veterans
A!airs hospitals with mortality and readmission rates among older men hospitalized
with acute myocardial infarction, heart failure, or pneumonia.
Journal of the American
Medical Association
, 315(6), 582–592. doi:10.1001/jama.2016.0278
Pronovost, P., Needham, D., Berenholtz, S., Sinopoli, D., Chu, H., Cosgrove, S., … Goeschel,
C. (2006). An intervention to decrease catheter-related bloodstream infections in the
ICU.
New England Journal of Medicine, 355(26), 2725–2732.
Rau, J. (2013). Hospital ratings are in the eye of the beholder.
Kaiser Health News. Retrieved
from https://khn.org/news/expanding-number-of-groups-o!er-hospital-ratings
Schneider, E. C., Sarnak, D. O., Squires, D., Shah, A., & Doty, M. M. (2017).
Mirror, mirror 2017: International comparison re!ects !aws and opportunities for better U.S. health
care
. New York, NY: “e Commonwealth Fund.
Shaller, D., & Kanouse, D. (2012).
Private “performance feedback” reporting for physicians:
Guide for community quality collaboratives
. Rockville, MD: Agency for Healthcare
Research and Quality.
Smith, M., Saunders, R., Stuckhardt, L., & McGinnis, J. M. (Eds.). (2012).
Best care at
lower cost: “e path to continuously learning health care in America
. Washington, DC:
National Academies Press.
World Health Organization. (2009).
WHO guidelines on hand hygiene in health care.
Geneva, Switzerland: Author. Retrieved from http://whqlibdoc.who.int/publications/
2009/9789241597906_eng.pdf
EBSCOhost – printed on 3/12/2021 5:05 PM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
13
Health Care Management
Anthony R. Kovner and Christy Harris Lemak
LEARNING OBJECTIVES
Discuss what board members do
Describe challenges that boards face
Understand what managers do and how they behave
Discuss challenges managers face
Understand how organizational performance is measured
Understand the constraints and opportunities for managers of evidencebased practice
KEY TERMS
accountability
evidence-based management
governance
management
self-perpetuating governance boards
stakeholders
TOPICAL OUTLINE
Governance, performance, and accountability
The complex tasks of leadership and management
Evidence-based management
Challenges managers face
© Springer Publishing Company DOI: 10.1891/9780826172730.0013
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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344 Part III. Medical Care: Treating Americans’ Medical Problems
INTRODUCTION
Excellent managers sometimes fail in meeting new challenges. And sometimes
they succeed in dramatically turning organizations around. Impact on organizational performance depends on circumstances
and timing. In baseball, there is an old saying that
“managers are hired to be !red.” We have seen
that managers make a di”erence in the performance of organizations. Health care organizations (HCOs) obtain inputs from society,
such as workers and medical devices, and add
value, such as treatments, to make unhealthy
people healthy again or to keep people healthy.
Managers are in charge of allocating resources to
most e”ectively create valued services based on
evidence about how to do this well. Managers are accountable to those who own
or govern HCOs. #e owners are responsive to stakeholders, who include persons
and organizations a”ected by the performance of HCOs, and most important, to
the patients they serve and the people living in the communities they serve.
For complex organizations like hospitals, large physician practices, and other
health-related enterprises to perform e”ectively, it is essential to develop organizational attributes that ensure e”ective governance, accountability, stakeholder
involvement, and leadership.
#is chapter describes how HCOs are governed and managed and the process of evidence-based management.
We start by de!ning key terms.
Governance is the process for making and
reviewing strategic decisions made by HCOs, such as whether and how to !nance
a new hospital wing, how to evaluate the quality of patient care, and whether
to hire nurse practitioners to provide primary care.
Management shapes and
implements governance decisions.
Accountability means being responsible for
making informed and wise decisions that a”ect health outcomes and processes of
care at a given level of quality and a given level of cost.
Stakeholders are individuals and groups who will be in$uenced by or have an interest in the decisions that
HCOs make. HCO stakeholders include, among others, regulators and accrediting bodies, payers and !nancers, clinicians and support sta”, local community
leaders and donors, patients and their family members, taxpayers, bene!ciaries,
vendors, and many others.
GOVERNANCE, PERFORMANCE AND ACCOUNTABILITY
The Concept of the Governing Board
HCOs can function under nonpro!t, public, or for-pro!t ownership. In a nonpro!t organization, the organization is owned by a nonpro!t board of directors.
The role of health care
managers is to obtain
inputs
from society—such as funding,
technology, and the expertise
of medical professionals—
and to add
value—such as
research and treatments—to
keep people healthy and help
them when they are ill.*
*To hear the podcast, go to https://bcove.video/2QEW0ri or access the ebook on Springer Publishing ConnectTM.
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Chapter 13. Health Care Management 345
Most nonpro!ts are regulated by the state in which the organization was founded.
Nonpro!t boards are often
self-perpetuating; that is, the existing board members select new members when openings arise. Public HCOs, such as a stateowned medical school or a public hospital, are owned by and accountable to
elected public o”cials or to boards appointed by elected public o”cials. Forpro!t health systems are corporations owned by and accountable to investors,
who are typically stockholders, whose interests generally are represented by a
governing board elected by the investors. HCO boards may be subject to ultimate
control by remote owners, such as a church, whose o”cials appoint board members, or a large corporate entity that may own many separate companies.
HCO governing boards may include physicians and others knowledgeable
about health care delivery, experts who understand !nance and banking, individuals who can help raise resources to support the organization, and others who
represent patients and community interests.
#e goals of boards and those who appoint boards can di$er widely. For
example, a church-owned hospital may place a higher priority on complying with
doctrines regarding abortion than on achieving a high rate of return on investment. Investor owners may reverse these priorities. Boards dominated by patients
and community members may care most about quality and access to care among
members of the community.
What Boards Do
According to Bowen (2008), boards have eight principal functions:
■■ Select, encourage, advise, evaluate, compensate and, if need be, replace the chief executive o”cer (CEO).
■■ Discuss, review, and approve strategic directions.
■■ Monitor performance of management in achieving agreed-upon goals.
■■ Ensure that the organization operates responsibly and e$ectively.
■■ Act on speci!c policy recommendations and mobilize support for decisions taken.
■■ Provide a bu$er for the president or CEO and “take some of the heat.”
■■ Ensure that the necessary resources will be available to pursue strategies and achieve
objectives.
■■ Nominate suitable candidates for election to the board and establish and carry out an
e$ective system of board governance.
Most board members are not employees of the organization, and many have limited previous experience in making HCO decisions. As a board, directors must
exercise the duties of care (acting as prudent persons), obedience (staying focused
on the mission of the organization), and loyalty (making sure to avoid con%icts
of interest). #e board is considered the conscience of the organization and is
accountable to stakeholders for protecting and achieving the mission.
Board members are not liable for a bad business decision as long as it can be
shown that a (hypothetical) “prudent board member” could have made the same
decision in the same situation. Fundamentally, board members’ decisions must
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346 Part III. Medical Care: Treating Americans’ Medical Problems
serve their HCO’s mission. For example, a board of a nonpro!t nursing home
would rarely !nd it logical to advance its mission by investing in a race track. Board
members must also be attuned to potential con”icts of interest. For example, when
a board is considering a banking relationship, a board member who works for a
bank must acknowledge that interest and be absent from the discussion.
Little is known about the relationship between what nonpro!t boards do
and HCO performance, though studies have begun to !nd positive relationships
between board attention to quality of care and hospital performance (Tsai et al.,
2015). Most HCOs have no formal accountability mechanisms for their board.
What is the value added of the board relative to its cost to the organization?
#ere are costs of governance such as the time the manager must spend with
board members—planning meetings, listening to board members’ views inside
and outside of meetings, and negotiating priorities and accountabilities. On the
bene!t side, boards add energy and considerable resources, have a more balanced
view of organizational situations than the CEOs, and can take a longer view of
establishing and accomplishing the organizational mission. #e board ensures
that “the main thing is the main thing,” which means keeping the HCO focused
on accomplishing the mission, which can include earning revenue, ensuring jobs
or access to care for low-income populations.
In practice, the governing board selects the CEO, who in turn selects the
other managers. #e board delegates much of the organizational decision making
to the CEO. #e board establishes the organization’s strategic direction through
a periodic strategic planning process and review of stakeholder perspectives and
market information. #e board establishes the organization’s mission, vision, and
values and is accountable for keeping these statements aligned with the HCO’s
current and future situation. (For an example of a hospital’s mission, vision, and
value statement approved by an HCO board, see Exhibit 13.1.)
Challenges That Boards Face
HCO boards must respond to many organizational challenges, which vary by
institution and over time. Some relatively constant challenges, however, include
making sure the organization has revenues that cover operating costs, ensuring
services are delivered with high quality, and ensuring health outcomes for patient
EXHIBIT 13.1 MISSION, VISION, AND VALUES: 2013 STATEMENT FOR UCHealth
UCHealth was created through the partnership of the University of Colorado Hospital
and Poudre Health System.
Mission: We improve lives. We do this in big ways through learning, healing, and
discovery. We do this in small ways through human connection. But in all ways, we
improve lives.
Vision: From health care to health
Values: Patients first, integrity, and excellence.
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Chapter 13. Health Care Management 347
care are as positive as possible. In order to do its job addressing these challenges,
a board sets and reviews metrics that measure HCO performance.
Measuring the performance of health care providers has become complex
and more sophisticated in recent years as there are a variety of measures of
“success”—including !nancial performance, patient satisfaction and “experience”
ratings, and clinical quality ratings, to name a few. Increasingly, comparative data
are being made available by payers and regulators that allow the board and others
to assess HCO performance (Figueroa, Feyman, Blumenthal, & Jha, 2017; www
.Hospital Compare.gov). For an example of how stakeholders can determine
“which hospital is best,” see Exhibit 13.2.
Of course, there are other organizational goals that an HCO and its board can
set. For example, the board might push the organization to improve the health of
the community’s population, rather than just focusing on patients who use their
services. For an example of linking performance to values, see Exhibit 13.3. Or
the board might set a goal of growing or shrinking the size of the organization in
response to changing community needs.
A key responsibility of the board of a community-based health care delivery
organization is to understand the needs of the community and be proactive in
meeting these needs. Increasingly, boards
may feel pressure to think in terms of broader
outcomes—such as maintaining the health
of the community—rather than the narrower
outcomes of technical quality and outcome
improvement. “ese changes are driven by
changing approaches to reimbursing delivery
A key responsibility of a board
of a community-based delivery
organization is to understand the
needs of the community and be
proactive in meeting these needs.
EXHIBIT 13.3 LINKING PERFORMANCE TO VALUES
Concentra, a subsidiary of Humana Inc., is a national health company with 320 medical
centers in 38 states (www.concentra.com).
Managers at Concentra link performance in each of its clinics to values of being
Welcoming, Skillful, and Respectful. Measures of performance are tracked and monitored relative to goals and benchmarks, such as metrics for Welcoming (e.g., clinic
appearance), Respectful (e.g., follow-up calls made), and Skillful (e.g., wait times, communication, and patient satisfaction). Clinic and other staff personnel who consistently
achieve benchmark performance receive bonuses and other awards.
EXHIBIT 13.2 WHICH HOSPITAL IS BEST?
Assume a grandmother has asked you to help her select a hospital for her hip surgery.
For a community you know well, consider how you would help her evaluate the local
hospitals and make recommendations.
What measures are most important? Is there a single “best” hospital? Why is this
so difficult? What sources, such as the following, would you use to determine which
hospital is best?
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348 Part III. Medical Care: Treating Americans’ Medical Problems
organizations and increased integration of organizations within a community (e.g.,
see Chapter 11 on !nancing and Chapter 12 on quality improvement).
Boards can have a signi!cant in”uence on HCO performance by setting and
overseeing strategy for an institution. #ey can decide to close or merge hospitals or mental health clinics. #ey hold managers accountable for improving
quality and transparency. #ey may drive organizations to cooperate with other
community organizations to improve population health. #ey should ensure that
managerial incentives are aligned with strategy.
#e challenges are daunting for a board to be e$ective in making sure an
HCO is performing well. To be e$ective, board members must spend enough
time to learn how the HCO operates and what drives e$ectiveness.
Some current issues facing HCO boards have to do with board composition. For
example, some boards require members to make !nancial contributions or to convince others to make contributions. #is may be done to increase board member
engagement with the HCO or to raise money for special projects, even if the amounts
are small relative to the total HCO budget. A main argument against this requirement is !nancial hardship that could discourage potential board members of modest
means from joining a board. Another board composition topic is limiting the terms
of board member service, often to two terms of 3 years each, sometimes with an age
requirement (typically limiting election to members below 70 years of age).
Another important board composition requirement refers to HCO board
diversity and the desire for board members who are representative of the community served in terms of race, ethnicity, and gender. #is is particularly relevant
as HCOs move toward population health improvement strategies (Lemak, Paris,
& McDonagh, 2017). #ere is room to improve in this area. #e American Hospital Association’s Institute for Diversity and Health Equity recently reported that
only 14% of hospital board members in the U.S. were racial minorities and this
percentage had not changed over the time period 2011–2015 (Livingston, 2018).
Healthy relationships between board members and senior sta$ of the HCO,
clear goals and objectives, and timely measures of outcomes related to goals and
objectives are essential for good board governance. Finally, to be e$ective, boards
should understand what they should
not do. Key among things not to do is meddling in ways that do not allow leaders to manage e$ectively.
THE COMPLEX TASKS OF LEADERSHIP AND MANAGEMENT
#e !rst person who comes to mind in thinking about health care delivery is a
clinician—a doctor, a nurse, a physical therapist, or an aide. But managers, who
are often behind the scenes (and who sometimes have experience as clinicians), make
it possible for much of appropriate clinical
care to happen. Managers create and maintain the environment that supports clinicians in their work.
Managers create and maintain
the environment that supports
clinicians in their work.
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Chapter 13. Health Care Management 349
To understand what managers do, we consider the wide range of roles they
play, the factors that make managers e!ective, and some of the challenges managers face in leading HCOs to be e!ective and e”cient and to achieve their mission
and goals.
Managers play many roles in HCOs. Managerial work can vary from directing health information technology to sustaining diabetes prevention activities.
Managers oversee accounts payable, fundraising and development, operational
support for clinical departments, and human resources/labor relations. Managers
function in interactive environments, working collaboratively with other managers and clinicians to achieve organizational goals.
Four useful ways of looking at what managers do are (a) the functions managers perform (e.g., planning or #nance), (b) responsibilities they are accountable
for, (c) what choices managers make in how they spend their time and e!ort, and
(d) with whom they spend their time. According to Longest (1990), basic managerial functions include:
■■ Planning: determining goals and objectives
■■ Organizing: structuring people, dollars, services, and equipment to accomplish objectives
■■ Directing: motivating workers to meet objectives
■■ Coordinating: assembling and synchronizing diverse activities and participants
■■ Controlling: comparing actual results with objectives
In 2014, a young manager told one of the authors that in his large health system, key managerial functions included:
■■ Managing unit or area performance
■■ Coaching and mentoring associates
■■ Promoting employee and physician engagement—the internalization of mission as
the person takes “ownership” of his or her job
$e manager’s scarcest resource may be his or her own time. Managers choose
whether to do tasks themselves, delegate work to others, or not do the work (e.g.,
not respond to e-mails from other departments). Unfortunately, not responding
often occurs, given the large number of claims on the HCO manager’s time.
An e!ective manager meets his or her goals. Being e!ective includes helping
the team and the HCO accomplish goals and exceed the expectations of key stakeholders. Some HCOs have ine!ective managers who fail to adapt to changing circumstances, such as a new CEO, or shifting demographics or patient preferences.
Sometimes managers achieve lowered performance due to external competitive
pressures or new government regulations over which the managers have little
control and to which they have not adequately prepared for or responded.
Goleman (1998) suggests that the most e!ective managers (whom he calls
“leaders”) have a high degree of “emotional intelligence,” which is more important
for managerial e!ectiveness than technical skills and general intelligence (IQ).
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350 Part III. Medical Care: Treating Americans’ Medical Problems
Goleman identi!es !ve components of emotional intelligence: self-awareness,
self-regulation (e.g., the ability to re”ect before acting), motivation, empathy, and
social skills.
Although e#ective managers vary in their backgrounds, experiences, emotional intelligence, styles, and the extent and nature of their formal education,
researchers have tried, largely unsuccessfully, to identify underlying factors that
lead to successful performance. Boyatzis (1995) developed a model that describes
three set of managerial competencies (skills that are measurable):
■■ People skills such as e$ciency orientation, planning, initiative, attention to detail, selfcontrol, “exibility, empathy, persuasiveness, networking, negotiating, self-con!dence,
group management, developing others, and oral communication
■■ Use of concepts, systems thinking, pattern recognition, theory building, technology,
quantitative analysis, and social objectivity
■■ Written communication and analytical reasoning
For an overview of the leadership competency approach, see Howard and colleagues (Howard, Healy, & Boyatzis, 2017).
Above all, there should be a good !t
between a manager’s competencies and what
the organization is seeking for a particular
position. A manager may be e#ective in one
position and ine#ective in another. When
successive managers turn over in a particular
position, this may indicate problems in the
way the position has been designed rather
than that the HCO has made a succession of bad hires. Joining a previously ine#ective
organization may be an excellent opportunity for a new, focused manager to remove
obstacles that previously prevented team members from working together e#ectively.
An important trait of an e#ective manager is being able to work collaboratively with clinicians, understanding the needs of clinicians in delivering highquality and e$cient care. Although delivery organizations are more complex
than they were 50 years ago, the traditional view lingers that the purpose of a
hospital or clinic is to function as the work space of the clinical provider. It is still
helpful for a manager to remember this culture and the unique and challenging
day-to-day demands that busy doctors and other clinicians face in the workplace.
According to the Bureau of Labor Statistics (2015), there were 333,000 persons employed in the !eld as medical and health services managers in 2014. %e
median annual pay for medical and health service managers in 2016 was $96,540.
%is does not include the large number of people who spend only some of their
time doing managerial tasks, such as clinicians chairing a quality committee or
heading a clinical department. Managerial work increasingly requires data analysis and an ability to collect relevant information to guide practice. Such analysis
is extensively used by senior management teams as well as by managers of clinical
departments (Friedman & Kovner, 2018).
There should be a good
fit between a manager’s
competencies and what the
organization is seeking for a
particular position.
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Chapter 13. Health Care Management 351
Managers contribute vitally to the functioning and health of an organization.
A key responsibility of senior managers is to recruit, train, and develop the managers reporting to them. In well-run organizations, the process of recruiting and
overseeing managers is facilitated by a rigorous approach to management e!ectiveness. Management objectives are set metrics used to assess performance, just
as the board does for higher-level objectives of the HCO.
EVIDENCE-BASED MANAGEMENT
Management decisions should be based on
the best evidence available. Managers generally make decisions based on evidence but
it is shocking how frequently the evidence
used is simplistic or poorly measured. Major
decisions, such as merging two hospitals,
are sometimes made based on latest trends or gut instinct rather than on solid
evidence that the merger will improve quality outcomes or “nancial viability.
Day-to-day management interventions, such as increasing space in the emergency department waiting areas, are often based on anecdotal data rather than
taking a systematic look at the pros and cons or at how other institutions design
waiting areas.
A new “eld of inquiry, evidence-based management, is emerging to bring
systematic data and information together to guide organizational improvements.
Evidence-based management is de”ned as “the systematic application of the
best available evidence to the evaluation of management strategies for improving organizational performance” (Hsu et al., 2006). Steps in the evidence-based
management process include translating a speci”c management challenge into
research questions; acquiring relevant research “ndings and other evidence;
assessing the validity, quality, applicability, and adequacy of the evidence; presenting the evidence in a way that will be useful; and including all important
stakeholders in the decision-making process (Barends, Rousseau, & Briner in
Kovner & D’Aunno, 2017).
Traditionally, HCOs have not invested substantially in management research,
seeing this as the responsibility of government or philanthropy. Many health systems have invested in analytical capacity to assess “nancial and reimbursement
decisions but have tended to ignore analysis to improve day-to-day operations.
Of course, there are exceptions to this, such as the Mayo Clinic and Intermountain Healthcare, which have developed sta! capacity and data retrieval systems
that allow for sophisticated analysis to develop evidence about best practices in
organizing service delivery.
Examples of the type of questions management research can address include:
■■ How can hospital emergency services be best organized to reduce patient waiting time?
■■ How can hospital administrators be organized to facilitate working better as teams?
Management decisions should
be based on the best evidence
available.
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352 Part III. Medical Care: Treating Americans’ Medical Problems
■■ What are !nancially viable approaches to expanding hours at ambulatory care clinics?
■■ How can transport services be best organized to minimize wait times in moving
patients from patient to procedure rooms?
Deciding whether to invest and how much to invest on management research
involves similar considerations as deciding how much to invest in management
training and development. “e returns on improved information for decisionmaking must be compared with the costs of obtaining the information. Managers
need to determine when analysis to support evidence-based management should
be done within a speci!c HCO or health system and whether this should be carried out alone or as part of a consortium. “e National Science Foundation sponsors consortia of HCOs and universities to conduct this kind of research, called
the Center for Healthcare Organizational Transformation (https://chotnsf.org/).
Managers who do not follow a process of evidence-based management often
fail to investigate a su#ciently broad range of strategic alternatives or to su#-
ciently test assumptions upon which alternatives are based. “is type of management failure is rarely found in other complex product sectors like banking,
manufacturing, or food service delivery.
HCOs are more likely to practice evidence-based management when: external incentives for performance are strong, such as when payers pay for better
performance with penalties for bad performance; when an HCO has a “hardwired” questioning management culture rather than a more hierarchical culture;
when there is focused accountability for decision making linked to the quality and
timeliness of the process; and, when managers participate actively in the management research.
CHALLENGES MANAGERS FACE
HCO managers face many important challenges to which some managers are not
responding adequately. External challenges include obtaining su#cient resources
to support clinicians and satisfy customers. More directly under the manager’s
control are internal challenges such as:
■■ Measuring processes and outcomes to facilitate continual improvement
■■ Creating a culture that supports excellent clinical care
■■ Motivating and supporting employees
Stakeholders agree it is the manager’s job to measure the operational processes,
supply needed support to clinicians given the resources available, and communicate with sta$. Much of the work today in HCOs is done in teams with di$erent
disciplines and often in di$erent locations. “is makes coordination of care and
employee engagement di#cult.
Delivering services e$ectively depends on agreement about standards of
performance. High-performing HCOs seek benchmarks, or examples of other
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Chapter 13. Health Care Management 353
organizations that perform well, and set their performance as a standard or goal.
See Exhibit 13.4 for a discussion of benchmarks for measuring performance at
Mercy Health System (MHS).
For example, what is and what should be the waiting time for patients? !is
includes waiting time to contact an access point to the HCO, waiting time for an
appointment with a clinician, waiting time in the clinician’s o”ce, and waiting
time for treatment and discharge. !ese data should be collected routinely, sorted
and analyzed, and discussed with sta# providing the services so that continuous
improvement can be implemented and results compared with those of HCOs
providing similar services. !is approach to monitoring and improving waiting
time can be repeated for each task and administrative process that is the responsibility of the manager. A proactive attitude and a continuous improvement perspective are two key attributes of an e#ective management team.
Providing a supportive environment for clinicians often will only be successful if managers systematically learn what factors help create a supportive environment for the delivery of high-quality services.
!is involves observations of working conditions at high-performing peer organizations, communicating with clinicians about
their views and feelings, and learning from
managerial peers and the research literature
about what works and doesn’t work—and
under what conditions.
Managers have limited time and must
focus on priorities. Obstacles to adopting
recommended interventions to improve care processes and outcomes are many,
including (a) insu”ciently developed care delivery teams, (b) ine#ective performance evaluation systems, and (c) lack of human resources capabilities. A workforce that has not been trained to work together cannot be expected to function
EXHIBIT 13.4 BENCHMARKS AT MERCY HEALTH SYSTEMS
Mercy Health Systems is an integrated health care organization providing health care
services in southern Wisconsin and northeastern Illinois.
MHS was establishing goals and measures for its House of Mercy, a 25-bed homeless shelter that provides short-term emergency shelter and access to housing, job
placement, and child care services. At first, MHS leaders were unsuccessful in locating
available measures of “benchmark” or “best practice” for homeless shelters. The CEO
insisted, however, that benchmarks be found.
House of Mercy staff held meetings with clients and volunteers and determined that
other industries could supply proxy measures of performance. Stretch goals were set
from benchmarks in the hotel industry, including volume of services, demand (wait
list), facility conditions (cleanliness, comfort), client satisfaction, and availability of services needed by their clients.
Providing a supportive
environment for clinicians
often will only be successful if
managers systematically learn
what factors help create a
supportive environment for the
delivery of high-quality services.
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354 Part III. Medical Care: Treating Americans’ Medical Problems
as a team. Creating, leading, and motivating teams are critical activities for every
manager. While it may be most e!cient to hire sta” with the required skills and
experience who have already demonstrated key aspects of the HCO’s culture, this
is not always possible. Unfortunately, HCO managers often spend most of their
time removing obstacles for new hires instead of spending time and energy motivating and directing new team members. A popular book on leadership emphasizes that one of the most important tasks of the leader is to “get the right people
on the bus.” Once the manager has hired the right sta”, supervision and motivation are easier (Collins, 2001).
A related managerial challenge is e”ectively communicating with team members. #ere is a big distinction between waiting to talk and hearing what the other
person is saying. A fundamental aspect of human nature is that we often hear
what we want to hear rather than what is said (and not voiced). Communication
involves connecting with a colleague and making sure he or she understands what
is said and what behavior needs to follow. Often, repeating back what the other
person has said is a useful approach to e”ective communication. And giving a
complete message—even when some of it is not good news to the employee—can
be critical to successful communication.
CONCLUSION
Donald Berwick, a health care visionary, sees the coming era as one that will
combine the professional pride of clinicians from his father’s generation with
transparency and accountability required today. He calls this the era of “return to
purpose,” which he says has nine elements: avoid excess measurement, abandon
complex incentives, get o” the billing treadmill (stop focusing so much on the
money), be part of a team, commit to quality science, promote transparency, protect civility, believe in the power of the patient, and reject greed. #ese elements
seem like a good guide for achieving better health at reasonable cost and with
high-quality services.
#e current drivers of the health care enterprise are demand for improved
outcomes and increased value. Consolidation has occurred within the health
sector—both vertically, in terms of integrated health systems, and horizontally,
in terms of mergers. Larger HCOs are better able to standardize work processes,
adapt new measurement systems, and develop transparent processes of communication with key stakeholders, including clinicians and other workers, about
performance and expectations for results.
Under these conditions, the role and importance of managers trained in the
necessary skills and provided with the necessary experience increases. Emerging
health systems require more sophistication from managers who understand how
to work in teams, how to manage various types of workers, and how to use the
best available evidence to make better decisions.
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Chapter 13. Health Care Management 355
CASE EXERCISE—STRATEGIC PLAN REPORT
What follows is a summary of an academic medical center’s strategic plan:
■■ Mission: To care, cure, teach, and advance the health of the communities served
■■ Vision: To be a premier academic medical center that transforms and enriches lives
■■ Values: Humanity, innovation, teamwork, diversity, and quality
■■ Strategic goals:
Advance the partnership with the university college of medicine
Create notable centers of excellence in heart and cancer care
Build specialty care broadly
Develop an effective delivery system with superior access, quality, safety, and patient
satisfaction
Maximize the effects of community service
■■ Organizational goals
Create a culture of high performance, motivation, and fulfilment
Sustain strong financial health
Invest in state-of-the-art facilities and technology
Build an aligned and interconnected organization
Forster supportive partnerships and alliances
The board of directors engages you as a consultant and asks that you prepare a report
addressing the following questions:
1. How should organizational performance at academic medical center be measured?
2. How can top management be held accountable for accomplishing the plan?
3. How should the board of directors be involved in implementing the plan?
t
DISCUSSION QUESTIONS
1. How is performance measured in HCOs? How e!ective are these measurements?
2. What are the di!erences among public, nonpro”t, and for-pro”t HCOs?
3. What skills and experience are required to govern and manage HCOs?
4. How should HCO performance be evaluated?
5. What measures of accountability are most e!ective for nonpro”t HCOs?
6. What are emerging issues facing HCO boards? HCO managers?
REFERENCES
Bowen, W. G. (2008). !e board book. New York, NY: W.W. Norton.
Boyatzis, R. E. (1995). Cornerstones of change: Building the path to self-directed learning.
In R. E. Boyatzis, S. S. Cowan, & D. A. Kolb (Eds.),
Innovation in professional education
(pp. 50–94). San Francisco, CA: Jossey-Bass.
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356 Part III. Medical Care: Treating Americans’ Medical Problems
Bureau of Labor Statistics, U.S. Department of Labor. (2015). Medical and health services
managers. In
Occupational Outlook Handbook: 2016–2017. Retrieved from https://
www.bls.gov/ooh/management-and-health-services-managers.htm
Collins, J. (2001).
Good to great: why some companies make the leap and others don’t. New
York, NY: Harper Business. www.chotnsf.org.
Figueroa, J., Feyman, Y., Blumenthal, D., & Jha, A. (2017). Do the stars align? Distribution
of high-quality ratings of healthcare sectors across U.S. markets.
BMJ Quality & Safety,
27(4), 287–292. doi: 10.1136/bmjqs-2017-006801
Friedman, L., & Kovner, A. R. (2018).
101 careers in healthcare management (2nd ed.). New
York, NY: Springer Publishing.
Goleman, D. (1998). What makes a leader?
Harvard Business Review, 76(6), 93–102. Retrieved
from https://hbr.org/2004/01/what-makes-a-leader
Howard, A. R., Healy, S. L., & Boyatzis, R. E. (2017). Using leadership competencies as a
framework for career readiness.
New Directions for Student Leadership, 2017(156),
59–71. doi:10.1002/yd.20271
Hsu, J. L., Arroyo, I., Graetz, E., Neuwirth, E. B., Schmittdiel, J., Rundall, T. G., … Curtis, P.
(2006). Methods for developing actionable evidence for consumers of health services
research. In A. R. Kovner, D. J. Fine, & R. D’Aquila (Eds.),
Evidence-based management
in healthcare
. Chicago, IL: Health Administration Press.
Kovner, A. R., & D’Aunno T. (Eds.). (2017).
Evidence-based management in healthcare: Principles, cases and perspectives (2nd ed.). Chicago, IL: Health Administration Press.
Lemak, C. H., Paris, N. M., & McDonagh, K. J. (2017). Essential values for population
health improvement.
Population Health Management, 20(4), 249–251. doi:10.1089/
pop.2016.0126
Livingston, S. (2018). Racism in health care: Challenging the unspoken rules.
Modern
Healthcare
, 12–14.
Longest, B. B. (1990).
Management practices for the health professional (4th ed.). Norwalk,
CT: Appleton & Lange.
Tsai, T. C., Jha, A. K., Gawande, A. A., Huckman, R. S., Bloom, N., & Sadun, R. (2015). Hospital board and management practices are strongly related to hospital performance on
clinical quality metrics.
Health A!airs, 34(8), 1304–1311. doi:10.1377/hltha!.2014.1282
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14
Health Information
Technology
Karen B. DeSalvo and Y. Claire Wang
LEARNING OBJECTIVES
Define health information technology (HIT)
Describe government’s role in spurring HIT adoption and setting expectations
for the market
Demonstrate how HIT and health data have improved patient care and
reduced health care costs
Discuss how HIT and health data can improve population health
Examine the role of HIT in the nation’s evolving health care system and
value-based care
Introduce and explore examples of successful HIT adoption and use and
public health
Discuss what is needed in the future as HIT takes on a bigger role in health
care and health improvement, including technology advancements and policy
challenges
KEY TERMS
clinical decision support
computerized provider order entry (CPOE)
consumer decision support
cybersecurity
electronic health records (EHRs)
e-prescriptions
health information exchange (HIE)
interoperability
patient portals
© Springer Publishing Company DOI: 10.1891/9780826172730.0014
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

358 Part III. Medical Care: Treating Americans’ Medical Problems
remote patient monitoring (RPM)
telehealth
TOPICAL OUTLINE
Health data needs and HIT use cases
HIT interoperability and standards
Driving forces shaping the use of data and HIT
Challenges to the more effective use of information and data
Privacy and security
Current marketplace and emerging opportunities
INTRODUCTION
!e digital health revolution is well under way and provides an exciting and necessary underpinning for a highly e”cient, e#ective, and modernized health care system. !is chapter will explore the current health
information technology (HIT) landscape in the
United States, examine the importance of HIT in
the nation’s evolving health care system and its
shift to value-based care, and discuss ways that
HIT will continue to change the health system.
HIT includes—but is not limited to—the
use of
electronic health records (EHRs)
instead of paper medical records to document
and maintain health information. At its core,
HIT refers to the tools and systems used to electronically store, organize, manage, disseminate, and make meaning from health data.
HIT makes it possible for health care providers to improve patient care through secure
use and sharing of health information.
In addition to EHRs, other organized
data can be leveraged with clinical information from EHRs. !ese types of data include
insurance claims, records about vital statistics, information about restaurants
with health violations, disease outbreak pattern information, and data documenting issues related to the social determinants of health such as access to public
housing or SNAP (Supplemental Nutrition Assistance Program) bene$ts.
Health informatics—the interdisciplinary study of the design, development,
adoption, and application of IT-based innovations in health care services delivery, management, and planning—has its origins in the 1960s, as advancements
Health information technology
(HIT) makes it possible for health
care providers to improve patient
care through secure use and
sharing of health information.
Health IT can enable health
care professionals to improve
the processing of insurance
claims, accurately track
patterns of disease outbreaks,
study social determinants of
health like access to public
housing or food assistance,
and even identify restaurants
with health violations.*
*To hear the podcast, go to https://bcove.video/2QyAa8v or access the ebook on Springer Publishing ConnectTM.
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Chapter 14. Health Information Technology 359
in computer engineering allowed for more practical application of computing
technology in !elds beyond computer science (National Information Center on
Health Services Research and Health Care Technology: Informatics, 2018). Early
notable e”orts to apply IT solutions to health care delivery include Lockheed
Corporation’s Eclipsys system for computerized physician order entry and homegrown IT systems at Massachusetts General Hospital, the Regenstrief Institute,
and the Department of Veterans A”airs (Tripathi, 2012). Commercial systems
started to proliferate in the 1990s, but adoption of these systems was mainly
limited to large health care delivery organizations, or health systems. Evidence
from these major health systems demonstrated the value of HIT for reducing
cost and improving care—especially in improving patient safety (Chen, Garrido,
Chock, Okawa, & Liang, 2009; Jha, Perlin, Kizer, & Dudley, 2003; Lee, & Forbes,
2009; Walker, Pan, Johnston, Adler-Milstein, Bates, & Middleton, 2005). Seminal
reports by the National Academy of Medicine in the early 2000s,
To Err Is Human
and Crossing the Quality Chasm, highlighted how tens of thousands of Americans die each year from preventable medical errors, and called for widespread use
of HIT to help prevent some of these errors (Institute of Medicine, 2001; Kohn,
Corrigan, Donaldson, eds., 2000). In 2005, the RAND Corporation estimated that
the United States could save $81 billion per year through greater e#ciency and
improved safety by adopting electronic medical records (Hillestad, 2005).
Despite these early e”orts and supporting evidence, the health care industry
has been slower than other industries to embrace IT. Barriers to adopting HIT
included the high costs of initial acquisition, implementation and ongoing maintenance, lack of business incentives to digitize data and share data outside one’s
system, and the lack of interoperability. Policy initiatives at the federal and state
levels, as well as industry-led e”orts in the United States, have been instrumental
in addressing these challenges, resulting in exponential growth in HIT adoption
and utilization in the past decade.
In 2009, fewer than one in !ve hospitals and physician o#ces used HIT
but by 2016, 96% of hospitals and 78% of physician o#ces used EHR technology (Hillestad, 2005). $ough health care continues to play catch-up with other
industries, the wide adoption of EHRs and the digitization of the care experience now o”ers opportunities to harness the power of big data to continuously
improve care quality, access, e#ciency, and health outcomes for all. However,
usability and work%ow integration remain a challenge for many providers. $e
cost of acquiring, maintaining, and managing HIT systems also increasingly represent substantial investment for health care providers.
HEALTH DATA NEEDS AND IT USE CASES
$e health care industry comprises a complex fabric of various stakeholders, and
each sector has its own unique data needs and capabilities to translate that data
into meaningful information. Providers, patients, insurers, and governmental
entities are increasingly using a variety of HIT tools to support patient care and
population health management.
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360 Part III. Medical Care: Treating Americans’ Medical Problems
Health Care Providers
!e central HIT tool in the health care system is the EHR, which is—at its core—
a digital versions of patients’ paper charts. Authorized providers and sta” across
health care organizations can use EHRs to record, manage, and share patient
information. EHRs can bring together information from current and past interactions with doctors, emergency facilities, school and workplace clinics, pharmacies, laboratories, and medical imaging facilities. Speci#cally, EHRs can:
■■ Contain electronic information about a patient’s medical history, diagnoses, medications, immunization dates, allergies, radiology images, and lab and test results
■■ Archive and share this information digitally at various points of care
■■ O”er access portals to clinical decision support (CDS) tools that providers can use in
managing and coordinating a patient’s care
■■ Automate and streamline providers’ work$ow
■■ Increase organization and accuracy of patient information
■■ Support analyses based on aggregated patient data for quality improvement and population health management
■■ Support key market changes in payer requirements and consumer expectations
■■ Make possible a range of public health, health services, and medical research focused
on improving individual and population health outcomes and the e%ciency of care
delivery
EHRs support electronic transmission of information that encompasses all
aspects of patient care. For example, EHRs improve delivery at the point of care
through a variety of
clinical decision support tools. CDS utilizes clinical guidelines, patient-speci#c data, and algorithm-guided reasoning to generate alerts and
o”er information to providers as part of the regular work$ow. Potential bene#ts of
CDS include avoidance of errors such as adverse drug-drug interactions and dosing errors, increased quality of care, and improved e%ciency (HealthIT.gov, 2018).
For example, providers use
computerized provider order entry (CPOE) to
submit orders for medications, lab tests, and imaging and to share instructions for
patient care with other parts of the system. Prescriptions can be submitted electronically via the EHR and eliminate the hassle and potential errors of physical paper
copies, with almost all retail pharmacies (98%) now accepting
e-prescriptions.
Further, in contrast to traditional quality measures based on manual chart
review or claims, electronic clinical quality measures (eCQMs) are calculated
directly from patient EHR data. !e development and adoption of eCQMs avoid
manual data extraction from paper charts, which is both resource intense and
error prone (eCQI Resource Center, 2018). Digitized health records and aggregated eCQMs can be analyzed to drive continuous process and quality improvement in health care delivery (Institute of Medicine, 2013).
Health information exchange (HIE) supports the secure electronic exchange
of patient data among authorized health care providers and patients to ensure
appropriate patient information is available at the point of care. HIE can also refer
to discrete public and private networks that allow providers and patients to share
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Chapter 14. Health Information Technology 361
medical information electronically across
di!erent EHRs and disparate HIT systems.
For example, MyHealth Access Network
is an HIE that connects more than 2,000
providers in Oklahoma so they can share
patient data regardless of the local EHR
product (MyHealth Access Network, 2018).
“e primary modes of HIE include directed
exchange, query-based exchange, and consumer-mediated exchange. Directed exchange describes point-to-point sending of
health data from one user to a trusted and authorized end recipient (which could
be another IT system) to support referrals and care coordination. Query-based
exchange supports unplanned care episodes and refers to providers exchanging
information based on a request for patient data (i.e., a query) from existing data
sources. Consumer-mediated exchange allows patients to access and share electronic records from and with their care providers.
Consumers and Individuals
Individuals have the right to review and obtain a copy their protected health
information (PHI) as granted by the Health Insurance Portability and Accountability Act of 1996 (HIPAA). Individuals can receive electronic copies of their health
record upon request. Some existing e!orts to provide this access to electronic
health information came in the form of
patient portals. “ese portals o!er people
direct access to their PHI stored in the provider’s EHR or by the health insurance
bene#ts manager. “ey also allow streamlined electronic communications between
patients and their physicians as well as allowing both to manage their administrative and care records. “e patient is the central and constant factor across all providers he or she interacts with as well as the HIT systems containing the patient’s
PHI. For this reason, one key form of HIE is consumer-directed exchange (CDEx),
also referred to as consumer-mediated exchange. “rough trusted CDEx platforms, patients can request health data in a format to be shared with third-party or
other entities as designated by the consumer. A 2010 study funded by the Robert
Wood Johnson Foundation invited 105 primary care doctors to share their o$ce
visit notes with patients and found that patients reported clinically relevant bene#ts (e.g., feeling more “in control” of their own care), and the providers involved
reported minimal impact on work%ow (Delbanco, et al., 2012). Since then, participation in the OpenNotes initiative has grown, and an estimated 20 million patients
in the United States had access to their doctors’ notes in 2017 (OpenNotes, 2017).
In 2010, the Veterans Health Administration (VHA) launched the Blue Button
initiative to give veterans the ability to download their health data on the MyHealtheVet portal; following successful deployment, this function was expanded to other
federal programs and commercial insurers (Turvey, Klein, Fix, et al., 2014). At the
request of the U.S. Government Accountability O$ce, the Department of Defense
and Veterans Administration have also been working to improve interoperability
Health information exchange
supports the secure electronic
exchange of patient data
among authorized health care
providers and patients to ensure
appropriate patient information
is available at the point of care.
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362 Part III. Medical Care: Treating Americans’ Medical Problems
and achieve lifelong medical records for active
duty and retired military members (U.S. Government Accountability O!ce, 2014). “e
federal government is also involved in certifying and regulating HIT use across the various
health care programs, which is discussed in
more detail later in this chapter.
Consumer-mediated exchange can support patient self-management and clinician
awareness, especially when both consumers and clinicians are trained to use the
information e#ectively. “e Department of Veterans A#airs (VA) trained veterans
to access and use the patient portal to share information with non-VA providers.
“e majority of participating veterans reported that the information would help
them be more involved in their health care (78%) and planned to share it with
non-VA providers (86%). As a result, 90% of the participating providers reported
improved ability to make medication decisions, and 50% reported avoiding ordering an unnecessary laboratory test or procedure based on the information shared
(Klein, 2017). Consumer-facing IT applications can also allow for providers to
monitor symptoms remotely—such as home glucose monitoring for diabetic
patients—and involve patients in managing and adhering to their care plan.
In addition to patients using data to support self-management, with the rising
prevalence of high-deductible health plans leaving many insured patients responsible for their $rst-dollar health care spending, patients are increasingly demanding more transparent data on the price and quality of health care services. “e
Dartmouth Atlas of Health Care, $rst produced in 1996, was one early e#ort to
analyze and compare health care utilization and expenditures and, in many ways,
led to a growing interest in greater price transparency. Using Medicare claims data,
the Atlas revealed dramatic variation in health care spending by hospital referral
region (regional health care market) (“e Trustees of Dartmouth College, 2018).
Insurer claims can provide insight into the total costs and use of care across
all providers and settings. With the use of IT-supported data aggregation across
multiple insurers, new
consumer decision support tools can help consumers
compare health insurance products and providers and aid patients in making
informed decisions about spending their health care dollar. Some private insurers have started to integrate tools that aggregate pricing data and o#er consumers
with cost estimates for common health care services into consumer-facing bene$ts portals, along with patient self-management tools that can assist patients
and their families in setting health behavior
goals and adhering to treatment plans.
Health Insurers
Public and private health insurers use HIT
to receive and process claims, evaluate quality of care provided, and manage care for
Consumer-mediated exchange
can support patient selfmanagement and clinician
awareness, especially when both
consumers and clinicians are
trained to use the information
effectively.
Public and private health
insurers use HIT to receive and
process claims, evaluate quality
of care provided, and manage
care for patients covered under
their plans.
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Chapter 14. Health Information Technology 363
patients covered under their plans. Administrative claims submitted by providers
to insurers to receive reimbursement is an important source of data to evaluate
patterns of care utilization and the quality of care. Insurers can use claims data to
determine if appropriate care is delivered to a subset of patients, for example, by
assessing the rate of colorectal cancer screenings for patients within a designated
age range. Analysis of aggregated claims data can reveal variations in overall costs
and quality across groups of providers.
Insurers use these analyses to manage preferred provider networks and
incentivize improvements through value-based payment arrangements (Mehrotra, Adams, !omas, & McGlynn, 2010). As one example, insurers will look
to historical claims data to establish expected expenditure amounts and target
prices for providers participating in episode- and population-based payment
arrangements. In these models, insurers such as Medicare will incentivize providers to reduce spending below an anticipated “nancial benchmark; insurers
use claims to determine whether providers have met the mark to earn valuebased payment incentives (Centers for Medicare and Medicaid Services, 2016).
Claims-based research can also support evidence-based management in provider operations, such as evaluation of workforce productivity and reallocation
of resources to most appropriately meet demand and reduce ine#cient use of
clinician resources.
!e government is a major health insurer across seven major health care programs: Medicare, Medicaid, the Children’s Health Insurance Program (CHIP),
Indian Health Services (IHS), TRICARE, the VHA, and the Federal Employee
Health Bene”ts (FEHB) program. Despite serving di$erent patient populations
that in some cases utilize distinct provider systems, the federal programs coordinate on important initiatives to advance interoperability and patient accessibility
to their electronic health data. As described later in this chapter, the U.S. Department of Health and Human Services has played a major role in incentivizing and
subsidizing provider adoption of certi”ed EHR technology for Medicare and
Medicaid providers.
Governmental Public Health Entities
Governmental public health agencies have long used data to support the 10 essential public health services, which include monitoring health status to identify and
solve community health problems (Centers for Disease Control and Prevention,
2018). Electronic health information systems present an opportunity for state and
local health departments to harness the power of big data and more e$ectively
serve as chief health strategists for their communities (DeSalvo, & Wang, 2016).
For example, state health departments have traditionally tracked prevalence of
chronic health conditions and related health risk behaviors through surveys such
as the Behavioral Risk Factor Surveillance System. EHR-based surveillance systems can augment such information on population-level disease and risk factor
incidence and prevalence with the added bene”t of producing timelier data with
less administrative burden (Klompas, et al., 2017).
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364 Part III. Medical Care: Treating Americans’ Medical Problems
Better integration and data-sharing between health care and public health
can help to address the social determinants of health—factors such as income,
education, and the environmental context in which people live, work, learn,
and play that drive health outcomes, especially for vulnerable populations.
Shared EHR data can support targeted public health interventions by recording patients’ demographic data, including race, employment status, and zip code.
State and federal government agencies also use electronic health data in the
same manner as other health care insurers in administering Medicare, Medicaid, CHIP, and TRICARE and as a provider through operation of the VHA, IHS,
Military Health System, and other public health services like sexually transmitted
infection (STI) screenings and vaccination programs.
Researchers
Large-scale aggregation and analysis of digitized health records allows for
researchers and developers to answer some of medicine’s most pressing questions about the e!ectiveness, safety, and real-world outcomes of many therapies. “e Patient-Centered Outcomes Research Institute (PCORI) launched the
PCORnet initiative in 2013 to support research networks and enable complex
analyses and queries across distributed virtual datasets (Fleurence, Curtis, Cali!,
Platt, Selby, & Brown, 2014). Clinical researchers can also utilize larger datasets
to identify e!ective individualized prevention and disease treatments, or precision medicine. Precision medicine accounts for individual variabilities in genetics, environmental exposure, and lifestyle factors to inform the development of
customized care plans (NIH / U.S. National Library of Medicine, 2015). As one
example, the All of Us research program at the National Institutes of Health gathers health data from millions of people who voluntarily contribute information
about their lifestyle and medical history to advance innovations in medicine (All
of Us website, 2018).
CASE EXERCISE 14.1—NYC MACROSCOPE
Dr. Shah is a primary care physician in New York City (NYC). She practices medicine in a small
clinic with !ve other clinicians and a small practice staff. A few years ago, the group decided
to adopt an electronic health record (EHR) system, but with their limited resources, they were
unable to bring on a technical expert to help the team fully optimize EHR use. Luckily, the
public health department in NYC launched a “Primary Care Information Project,” which supported Dr. Shah’s practice in using the electronic health information to make improvements
in her patient care and participate in federal and local priorities initiatives. One of the initiatives her group participates in is the NYC Macroscope. The Macroscope uses aggregated and
de-identi!ed patient data from a virtual network of 700 distributed, practice-based EHRs,
including Dr. Shah’s, to monitor the prevalence of chronic conditions and risk factors for
disease in more than 1.5 million patients.
t
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Chapter 14. Health Information Technology 365
HIT INTEROPERABILITY
Despite widespread gains in the adoption of EHRs among hospitals and providers, the U.S. health care system has not achieved widespread interoperability. !e
availability of health data via EHRs and health information networks has enabled
more data-driven, team-based approaches to care coordination and targeted
case management, but more progress is necessary. While most hospitals (82%)
exchange health information with other hospitals and ambulatory care providers
outside the system, HIE among physicians remains a challenge. Most hospitals
and providers and hospitals do not have necessary patient information electronically available at the point of care, and less than one-third of providers (31%)
are able to transfer electronic patient data from other providers into their EHRs
(Jamoom, & Yang, 2016; Patel, Henry, Pylypchuk, & Searcy, 2016).
Interoperability is de”ned as “health IT that enables the secure exchange
of electronic health information with, and use of electronic health information
from, other health IT without special e#ort on the part of the user; allows for
complete access, exchange, and use of all electronically accessible health information for authorized use under applicable State or Federal law; and does not
constitute information blocking” (21st Century Cures Act of 2016, 2016b). !ere
are several aspects of interoperability:
■■ Syntactic interoperability: Syntactic interoperability is achieved if two or more systems
are capable of communicating and exchanging data. Syntactic interoperability is a
Matt is an epidemiologist with the NYC Department of Health and Mental Hygiene (DOHMH).
Matt and his team of public health professionals use the NYC Macroscope platform to support
virtual public health surveillance. Many key indicators of interest to Matt’s team and other
public health researchers reside in the EHR, including smoking status, obesity, depression,
and diabetes prevalence.
Prior to the implementation of Macroscope in 2012, Matt and his team used the NYC Health
and Nutrition Examination Survey and the NYC Community Health Survey to track these same
indicators; these reference surveys required in-person and telephonic survey administration,
respectively, which were costly to administer and produced less timely data than Matt is now
able to obtain from the Macroscope system. However, the NYC DOHMH continues to administer the surveillance surveys because the validity of the NYC Macroscope data in predicting
population-level prevalence of disease and risk factors is still under evaluation.
1. What kind of health indicators would be of interest to both Dr. Shah for care delivery
improvement and Matt for public health surveillance?
2. How should NYC DOHMH evaluate the validity of the NYC Macroscope data compared to
traditional surveillance surveys?
3. What might be some of the key concerns for staff in both the practice and public health
department to participate in this new effort and how might they be addressed?
Source: Data from Perlman, S.E., [Other Authors]. (2017). Innovations in population health surveillance: Using
electronic health records for chronic disease surveillance.
American Journal of Public Health, 107(6), 853–857.
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366 Part III. Medical Care: Treating Americans’ Medical Problems
prerequisite for semantic interoperability (HL7.org). An everyday example of syntactic
interoperability is the ability of an electronic !le in PDF format to be opened across
multiple platforms without changing format, regardless of whether the end user opens
the !le on a Mac laptop, Dell desktop, or mobile phone. Syntactically interoperable
HIT systems similarly use a standard set of !le formats, such as the Clinical Data
Architecture standard, to ensure medical records retain a consistent structure across
various HIT components and products.
■■ Semantic interoperability: “e clinical vocabularies and coding systems used to represent clinical information in HIT systems are often referred to as data “semantics.”
Semantic interoperability is the “ability to automatically interpret the information
exchanged meaningfully and accurately in order to produce useful results as de!ned
by the end users of both systems” (“e O#ce of the National Coordinator for Health
Information Technology, 2015). One standard that supports semantic interoperability is the
International Statistical Classi!cation of Diseases and Related Health Problems, currently in its 10th edition, or ICD-10. Providers use ICD-10 codes to describe
patient diagnoses and symptoms in a consistent manner, which prevents miscommunication. For example, a patient presenting with symptoms of a heart attack may
be diagnosed as having an acute myocardial infarction, or AMI. “e ICD-10 o$ers a
classi!cation system for providers to distinguish among the various types of myocardial infarctions and communicate e$ectively among the care team in order to provide
accurate treatment.

Organizational Interoperability
Standardized proces (workflow) elements using business process modeling tools
Semantic Interoperability
Standardized meaning (model element) and terms / vocabulary for data interpretation,
e.g., Loinc, ICD-10 CM, IEEE 11073
Standardized data exchange formats, e.g., HL7, XML
Syntactic Interoperability
Signals using standard protocols for technically secure data transfer, e.g., TCP/IP
Technical Interoperability
Standards

HIGH
LOW
AUTOMATIC
MANUAL
Data exchanges on the low technical level require more manual intervention in order to achieve the desired
communication of meaning; data exchanges on the higher levels use more sophisticated standardization, are
more automatic and require less manual intervention.
Source: Oemig, F., & Snelick, R. (2016). Healthcare interoperability standards compliance handbook (p. 13,
Fig. 1.3). Cham, Switzerland: Springer International Publishing.
FIGURE 14.1 LEVELS OF HEALTH INFORMATION TECHNOLOGY INTEROPERABILITY
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Chapter 14. Health Information Technology 367
STANDARDS
Data exchange standards are required for interoperability in any industry. When
di!erent entities agree on and adopt a set of standards, information can be easily
shared or understood, and hardware or software products from di!erent vendors
can work together. For example, standards allow websites to be seen by di!erent
web browsers, store-bought printers from di!erent brands to connect to your
Mac computer or PC, and cable channels to transmit their programs to any television in the home. “ese standards can include vocabulary, coding, and terminology standards (i.e., laboratory test results, clinical measurements, test orders,
medical problems, and drug names), content and structure standards (i.e., data
provenance), implementation speci#cations (i.e., infrastructure components to
ensure consistency with standard implementation), and administrative standards
(i.e., bene#ts and claims, nonclinical needs).
In health care, major standards development organizations such as Integrating the Healthcare Enterprise (IHE) and Health Level 7 (HL7) and regulatory
bodies like National Institute of Technology (NIST) work to promote standards
that increase the e!ectiveness and e$ciency of HIT. “e development of standards like LOINC (Logical Observation Identi#ers Names and Codes) and
ICD-10 (see Figure 14.1) over the past several decades signi#cantly drives
interoperability. To advance interoperability further, HIT developers and standard development organizations are currently investing resources into HL7’s
Fast Healthcare Interoperability Resources (FHIR, 2018), an emerging data standard that speci#es an application programming interface (API) for exchanging
health data in order to connect third-party apps to HIT systems (Fast Healthcare
Interoperability Resources, 2018). A popular example of how APIs can work in
practice is Google Maps. Many popular apps use or have used the Google Maps
API, including Uber, Yelp, and Open Table, among others. However, meaningful
interoperability requires much more than existence of standards: marketplace
incentives, regulatory guidance and push-pull, and more important, a cultural
change in how businesses compete and how they perceive data as an asset.
DRIVING FORCES SHAPING THE USE OF DATA AND HIT
“e federal government has had strong in%uence in the HIT marketplace over
the past two decades. In 2004, President George W. Bush established the O$ce
of the National Coordinator for Health IT (ONC) to help bring the U.S. health
system into the computer age. In 2009, Congress passed the Health Information
Technology for Economic and Clinical Health (HITECH) Act, part of the American Recover and Reinvestment Act of 2009, which legislatively authorized ONC
in statute and funded key programs and incentives for HIT adoption.
ONC is the principal federal entity charged with coordination of nationwide
e!orts to implement and use HIT and accelerate the electronic exchange of
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368 Part III. Medical Care: Treating Americans’ Medical Problems
health information. ONC is organizationally located within the O!ce of the Secretary at the U.S. Department of Health and Human Services (DHHS). One of
ONC’s key activities is administration of the Health IT Certi”cation Program, a
voluntary certi”cation program to provide for the certi”cation of HIT standards,
implementation speci”cations, and certi”cation criteria adopted by the DHHS
Secretary. ONC’s overarching goal for electronic health information exchange is
for information to follow a patient where and when it is needed, across organizations, IT systems, and geographic boundaries, and to make patients’ medical
records available to them in electronic format.
#e HITECH Act of 2009 stimulated unprecedented growth in the adoption
of EHRs through a combination of policies, programs, incentives, and penalties.
In 2009, fewer than one in “ve hospitals and physician o!ces used HIT. As of
2016, 96% of hospitals and 78% of physician’s o!ces use EHR technology (Fast
Healthcare Interoperability Resources, 2018). A primary driver in the adoption
of EHRs was the Medicare and Medicaid EHR Incentive Programs (commonly
referred to as Meaningful Use), which was authorized by the HITECH Act. #ese
programs administered by the Centers for Medicare & Medicaid Services (CMS)
set aside approximately $30 billion to support eligible hospitals and providers to
adopt and use EHRs certi”ed by ONC’s Health IT Certi”cation Program. Eligible
providers and hospitals that did not adopt certi”ed EHRs and attest to criteria set
by CMS would be subject to payment adjustments in the following years.
In addition to the EHR Incentive Programs, the HITECH Act provided ONC
with $2 billion in discretionary funds to establish programs designed to reduce
common barriers for adopting and using HIT. #ese programs included the
Regional Extension Center Program, a program that funded 62 extension centers
to provide small provider practices, public and critical access hospitals, and community health centers with technical assistance to adopt and use EHRs. #rough
the State Health Information Exchange Program, ONC funded each state and territory
to accelerate data exchange within its jurisdiction. Recognizing the current workforce
was not equipped for this transition from
paper records to EHRs, ONC funded dozens of community colleges and universities,
which collectively trained more than 20,000
HIT professionals between 2010 and 2013
(NORC at the University of Chicago, 2014).
ONC also funded 17 communities through
its Beacon Community Program to demonstrate how HIT could advance patient-centered care. ONC created the Strategic Health
IT Advanced Research Projects (SHARP)
program to support research to address
well-documented problems that impede the
adoption of HIT. One of the grants, SMART
The Of!ce of the National
Coordinator for Health IT is
responsible for coordinating
nationwide efforts to implement
health information technology.
This includes oversight of
relevant efforts across the
federal government’s health
programs administered by CMS,
Veterans Health Administration,
Defense Health Agency, as well
as other relevant regulatory
agencies such as the Federal
Communications Commission
and National Institute of
Standards and Technology.
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Chapter 14. Health Information Technology 369
Health IT, funded Boston Children’s Hospital and Harvard Medical School to
create an open, standards-based technology platform that enables innovators
to create apps that seamlessly and securely run across the health care system
(SMART Health IT, 2018).
In late 2016, due to the lack of nationwide interoperability, a bipartisan
majority in the U.S. Congress passed the 21st Century Cures Act, which includes
several important provisions designed to accelerate interoperability. Key provisions in Title IV of the Cures Act focus on combating and penalizing information blocking, establishing or recognizing a trusted exchange framework and
common agreement to promote the exchange of health data between health
information networks, and requiring conditions and maintenance of certi!cation by developers participating in the Health IT Certi!cation Program. “ese
conditions focus on ensuring that developers do not engage in information
blocking; inhibit the appropriate exchange, access, and use of electronic health
information; and do not prohibit or restrict communications regarding a product’s usability, interoperability, security, user experience, business practices, and
information on use.
“e conditions of certi!cation also require developers to publish APIs.
APIs refer to technology that allows one software program to access the services provided by another software program. APIs can allow third-party developers to pull data from EHRs and build programs or apps on top of that data
(JASON, 2013). “ese APIs must “allow health information from such technology to be accessed, exchanged, and used without special e#ort,” and provide
“access to all data elements of a patient’s EHR to the extent permissible under
applicable privacy laws.”
HIT also represents a key strategy for curbing health care cost. With U.S.
national health care expenditures accounting for 17.9% of GDP in 2016 (Cuckler,
2018) and medical price in$ation exceeding overall economic in$ation (HRSA,
2016), the federal government has made a concerted e#ort to adopt interoperable HIT systems as part of the supporting infrastructure for alternative payment models that reimburse providers based on the e%ciency and quality of care
provided.
CMS and private payers have introduced a variety of new value-based payment
models that reimburse providers for quality of care and patient outcomes, moving
away from a traditional fee-for-service structure. Value-based care models such
as the accountable care organization (ACO)—in which a group of providers agree
to take !nancial responsibility for the total cost of care, quality, and outcomes for
a designated population of patients—require HIT to manage population health
and better coordinate across systems of patient care. Held accountable for total
patient costs, providers are investing in population health management systems,
which use health data from the EHR and administrative data such as claims to
identify patients who may be at risk for costly hospital admissions or have otherwise uncontrolled or complex health conditions. Care managers can use riskstrati!ed patient lists and disease registries to implement patient outreach and
care coordination. Ultimately, HIT interoperability is central to transforming the
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370 Part III. Medical Care: Treating Americans’ Medical Problems
health care delivery system into one that provides better care, smarter spending,
and healthier people (Burwell, 2015).
!e Medicare and CHIP Reauthorization Act of 2015 (MACRA) changed the
way Medicare pays providers by streamlining several quality payment programs
into the Merit-based Incentive Payment System (MIPS) and introducing more
enticing incentives for providers to join Advanced Alternative Payment Models
(Medicare and CHIP Reauthorization Act of 2015, 2015). Collectively named the
Quality Payment Program, Medicare’s new reimbursement structure builds on
the meaningful use requirements for provider use of certi”ed EHR technology.
Further, the quality performance, practice improvement, and resource-use components of the Quality Payment Program demands more advanced use of EHRs
and data analytics for providers to be successful (Morrissey, 2017).
CHALLENGES TO MORE EFFECTIVE USE OF INFORMATION
AND DATA
Despite the rapid uptake of EHRs and more advanced HIT systems across the
health care industry, in many ways, the early promise of interoperable EHRs
driving immediate and dramatic annual health care savings and care improvements seems overblown in retrospect. Systematic reviews of evidence regarding
CASE EXERCISE 14.2—AVERA HEALTH
The executive leadership team of Avera Health is used to dealing with complexity. The integrated
delivery system based in Sioux Falls, South Dakota, includes more than 200 outpatient clinics
and 33 hospitals, as well as home health, hospice care, and senior living facilities. The more than
300 provider locations that make up Avera are spread across !ve states in the upper Midwest
and serve a population of nearly 1 million (About Avera, 2018). In addition to geographic spread,
the individual Avera provider sites have been operating on a variety of EHR platforms that are
not interoperable.
To address this interoperability gap, Avera Health established a single health information exchange (HIE) platform for the !ve-state area serviced by the organization. Patients
are automatically enrolled in the HIE under an opt-out policy, and the function to exchange
Consolidated-Clinical Document Architecture (C-CDA) is embedded into the clinician’s EHR
work”ow. The high rate of patient and provider participation in the HIE has resulted in better
patient care coordination, a decrease in redundant testing, and improvements in providers’
ability to use up-to-date clinical information at the point of care at Avera Health (EHRA, 2017).
1. How might the leadership team evaluate the return on investment of the HIE platform?
2. What are some of the remaining barriers to providers regularly using the HIE to exchange
patient data?
3. How should Avera Health communicate with patients about the inclusion of their health
data in the HIE?
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Chapter 14. Health Information Technology 371
HIE usage and e!ect have found little generalizable impact on overall costs, outcomes, or quality (Rahurkar, et al., 2015). Signi”cant barriers to interoperability
include technical limitations, policy challenges, and the lack of business drivers and incentives to share information with other health care providers. Most
providers are still paid on a fee-for-service structure, in which reimbursement is
based on the volume of services and patients served; a hospital under this reimbursement model may lack economic incentives to share a patient’s care record
with a competing hospital.
Providers struggle with e!ectively integrating the EHR into work#ow, with
common complaints including decreased time for face-to-face patient interactions and increased demands for timely data entry. A 2013 study by RAND Corporation found that EHR use negatively impacted physicians’ overall job satisfaction
(Friedberg, et al., 2013). Providers unsatis”ed with the functionality or usability
of their current EHR system feel stuck due to administrative challenges and costs
associated with transitioning away from the current system. Data integration
across providers, payers, and public health and other key stakeholders is also hindered by willful information blocking, when developers knowingly and unreasonably interfere with electronic health information exchange (Adler-Milstein,
& Pfeifer, 2017). $ese challenges may inhibit providers from e!ectively harnessing the capability of electronic data systems for evidence-based management and
organizational quality improvement.
PRIVACY AND SECURITY
Beyond the technical challenges, issues of
privacy and security are a signi”cant barrier
to more ubiquitous availability and exchange
of health information. Coordinated attention at the federal, state, and regional levels
is needed both to develop and implement
appropriate privacy and security policies
and trusted exchange frameworks to ensure
all data-sharing participants are following
the same technical standards and procedures to protect health information. $ere
is work under way at the federal level to ful-
“ll the 21st Century Cures Act’s requirement for ONC to “develop or support
a trusted exchange framework, including a common agreement among health
information networks nationally.” Only by engaging all stakeholders, particularly
consumers, can health information be protected and electronically exchanged in
a manner that respects variations in individuals’ views on privacy and access. If
individuals and other participants in a network lack trust in electronic exchange
of information because of perceived or actual risks, this distrust may a!ect their
willingness to disclose necessary health information.
Coordinated attention at the
federal, state, and regional levels
is needed both to develop and
implement appropriate privacy
and security policies and trusted
exchange frameworks to ensure
all data-sharing participants are
following the same technical
standards and procedures to
protect health information.
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372 Part III. Medical Care: Treating Americans’ Medical Problems
Cybersecurity threats are a growing and constant concern for health care
systems as more patient care operations and functions are transitioned to electronic systems. Without proper controls, HIT systems can be susceptible to
hacking, identify theft, service disruption, and malicious software (malware).
Large-scale cyberattacks are more frequently targeting health care providers
with ransomware, whereby hackers take over valuable patient data and information management systems and demand a ransom from the providers before
relinquishing control (Jarrett, 2017).
CURRENT MARKETPLACE AND EMERGING OPPORTUNITIES
!ere are many promising approaches to address the challenges of HIT.
Widespread adoption of the HL7 FHIR standards and APIs could drive similar
market-based innovation in consumer-facing health apps. !ese apps can have
many di”erent use cases, including population health analytics, integration of
data from multiple devices that track#tness and activity, monitoring and improvement of medication adherence, chronic disease management, and identi#cation
of high-risk and high-cost patients and coordination of their care. Further, FHIR
can facilitate consumer-directed exchange as more commonplace platforms give
patients the ability to manage and aggregate their own electronic medical records
from various providers via APIs, such as Apple’s Health app. !e largest public
insurer CMS implemented “Blue Button 2.0,” an API with claims data for more
than 50 million Medicare bene#ciaries, to encourage developers to innovate new
value-added use cases for patients and providers around the standard (Centers
for Medicare and Medicaid Services, 2018). CMS is also taking steps to prevent
information blocking by requiring eligible clinicians to attest to following relevant standards and exchanging electronic health information with patients and
other health care providers “regardless of the requestor’s a$liation or technology
EXHIBIT 14.1 SIX IMPERATIVES FOR IMPROVING CYBERSECURITY IN THE HEALTH CARE INDUSTRY
1. Define and streamline leadership, governance, and expectations for health care
industry cybersecurity.
2. Increase the security and resilience of medical devices and HIT.
3. Develop the health care workforce capacity necessary to prioritize and ensure
cybersecurity awareness and technical capabilities.
4. Increase health care industry readiness through improved cybersecurity awareness and education.
5. Identify mechanisms to protect research and development efforts and intellectual
property from attacks or exposure.
6. Improve information sharing of industry threats, weaknesses, and mitigations.
Source: Health Care Industry Cybersecurity Task Force. (2017). Report on improving cybersecurity in the
health care industry. Retrieved from https://www.phe.gov/Preparedness/planning/CyberTF/Documents/
report2017.pdf.
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Chapter 14. Health Information Technology 373
vendor” as a condition of Medicare participation (Centers for Medicaid and
Medicare Services, 2017).
Many other data sources relevant to patient care and population health
management can be managed and integrated within the EHR.
Remote patient
monitoring (RPM)
technologies collect health data and vital signs from
patients when they are away from the point of care to support interventions
when needed, such as remote glucose monitoring systems that send real-time
glucose readings for diabetic patients and alert patients and their providers in
case of uncontrolled blood sugar levels. RPM is one form of telehealth.
Telehealth is de!ned as “the use of electronic information and telecommunication
technologies to support and promote long-distance clinical health care, patient
and professional health-related education, public health and health administration” (HRSA, 2018). mHealth—short for mobile health—refers to the use
of mobile phones and other wireless technologies in medical care, including
delivery of preventive services and health care education. In recognition of
the expanded use of these now ubiquitous technologies in health care delivery, the 21st Century Cures Act clari!ed the Food and Drug Administration’s
jurisdiction over mobile medical software and devices that support clinical
decision making (21st Century Cures Act of 2016, 2016a). Providers may also
collect and use health-related data about a patient’s social environment—such
as housing status and food security—and administrative data, including health
insurance enrollment and payment information as a part of the electronic
medical record.
Other HIT products address speci!c pain points and blind spots in the current delivery system as providers transition to value-based payment. Providers
in ACO arrangements are accountable for total health spending for a designated
population of patients, but they have limited insight or control when patients
seek care from providers outside the ACO. To solve for the problem of tracking
patients’ interactions with the larger health system, platforms such as PatientPing
use administrative data available in admission, discharge, and transfer (ADT)
feeds to provide more real-time clinical event noti!cations to accountable providers connected to the network (Patient Ping website, 2018).
Big data also presents an opportunity for advanced machine learning.
Large technology companies have launched arti!cial intelligence tools that use
advanced analytics and machine learning to optimize health care delivery. On a
smaller scale, health systems now regularly use predictive algorithms to forecast
everything from whether a patient is likely to pay a bill to whether a patient is at
high risk of a costly hospitalization (Angraal, Krumholz, & Schulz, 2017).
Another emerging technology with the potential to positively disrupt the
health care industry is blockchain. Initially used in the !nancial sector, blockchain technology utilizes distributed peer-to-peer networks to support secure,
decentralized data management and validated transactions. Proposed applications of blockchain in health care include more automated transactions like prior
authorizations and claims processing and greater patient insight into who can
and has accessed their health data.
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374 Part III. Medical Care: Treating Americans’ Medical Problems
CASE EXERCISE 14.3—ELECTRONIC HEALTH RECORDS
Dr. Ann Smith is a physician in rural New York, where she still keeps all of her patient records
on paper, in folders, stored in !le cabinets. Lately, she has been receiving a lot of information
about HIT systems and is trying to decide what she should do about purchasing the software,
how she can afford it, and when she will !nd the time to learn the program and train her staff.
Dr. Smith has a heavy workload and is the only physician within an 80-mile radius. She
has three nurses on her staff. One of them also serves as the administrative assistant, who
answers phone calls. She also has a part-time of!ce manager who handles insurance claims
and appeals. Dr. Smith is overwhelmed by the thought of switching to electronic records, and
yet she knows she has to do it. She is 40 years old and plans to be in practice for many years
to come. Money and time are both tight. With the exception of one nurse, her staff is older and
was inherited by Dr. Smith from the previous doctor. Dr. Smith wonders how she will take care
of her patients while trying to learn a new system. Yet, she knows, she is under pressure to
adopt electronic records for her practice.
Keeping Dr. Smith’s needs and concerns in mind, answer the following questions:
1. What should be Dr. Smith’s !rst step toward adopting and implementing an EHR in her
practice?
2. What are some ways she can work her own training into her schedule?
3. What are some of the key concerns for her staff, and how might they be addressed?
t
DISCUSSION QUESTIONS
1. Why has the health care sector been slower than other industries to adopt HIT?
2. What factors drove rapid growth in HIT adoption in the early 21st century?
3. What challenges do providers face in e!ectively using HIT within their practices?
What are strategies to mitigate those barriers?
CONCLUSION
Electronic health information promises an array of potential bene”ts for individuals and the U.S. health care system at large through improved clinical care and
smarter spending. Modern computer science presents opportunities for individuals, clinicians, and payers to have a fuller picture of a patient’s health history and
utilized informed decision making. No longer in paper form, health information
is increasingly ready to be transmitted electronically and analyzed using sophisticated software. At the same time, this environment also poses new challenges and
opportunities for protecting individually identi”able health information while
encouraging greater interoperability and improved front-end usability. Eventually, the market will drive out technologies and approaches that fail to meet
expectations. Yet, to make true advances toward shared accountability on health,
innovators need to envision and explore new frontiers in data infrastructure and
technologies that advance community-wide population health.
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Chapter 14. Health Information Technology 375
4. Why is interoperability important? What are the key approaches to driver interoperability?
5. How should the issue of patient privacy be addressed? What are some approaches you
might suggest?
6. Provide an example of how HIT can be used to improve quality of care, reduce cost,
and/or improve population health.
REFERENCES
21st Century Cures Act of 2016. (2016a). P.L. 114–146 §3060.
21st Century Cures Act of 2016. (2016b). P.L. 114–146 §4003.
About Avera. (2018). Retrieved from https://www.avera.org/about/
Adler-Milstein, J., & Pfeifer, E. (2017). Information blocking: Is it occurring and what policy
strategies can address it?
!e Milbank Quarterly, 95(1), 117–135.
All of Us website. (2018). Retrieved from https://allofus.nih.gov
Angraal, S., Krumholz, H.M., & Schulz, W.L. (2017). Blockchain technology: Applications in
health care.
Circulation: Cardiovascular Quality and Outcomes, 10(9), e003800.
Burwell, S.M. (2015). Setting value-based payment goals—HHS e!orts to improve U.S.
health care.
New England Journal of Medicine, 372(10), 897–899.
Centers for Disease Control and Prevention. (2018). “e public health system & the 10
essential public health services. Retrieved from https://www.cdc.gov/stltpublichealth/
publichealthservices/essentialhealthservices.html
Centers for Medicare and Medicaid Services. (2016). Medicare program; Medicare shared
savings program; accountable care organizations—Revised benchmark rebasing methodology, facilitating transition to performance-based risk, and administrative #nality of
#nancial calculations. Final rule.
Federal Register, 81(112).
Centers for Medicare and Medicaid Services. (2017). “e merit-based incentive payment
system advancing care information prevention of information blocking attestation:
Making sure EHR information is shared. Retrieved from https://www.cms.gov/
Medicare/Quality-Initiatives-Patient-Assessment-Instruments/Value-BasedPrograms/MACRA-MIPS-and-APMs/ACI-Information-Blocking-fact-sheet.pdf
Centers for Medicare and Medicaid Services. (2018). Blue Button 2.0. Retrieved from https://
www.bluebutton.cms.gov/
Chen, C., Garrido, T., Chock, D., Okawa, G., & Liang, L. (2009). “e Kaiser Permanente
electronic health record: Transforming and streamlining modalities of care.
Health
A”airs
, 28, 323–333.
Cuckler, G.A. (2018). National health expenditure projections, 2017–26: Despite uncertainty, fundamentals primarily drive spending growth.
Health A”airs. Retrieved from
https://doi.org/10.1377/hltha!.2017.1655
Delbanco, T., Walker, J., Bell, S. K., Darer, J. D., Elmore, J., & Faraq, N. (2012). Inviting
patients to read their doctors’ notes: A quasi-experimental study and look ahead.
Annals
of Internal Medicine
, 157, 461–470.
DeSalvo, K., & Wang, Y. C. (2016). Health informatics in the public health 3.0 era: Intelligence for the chief health strategists.
Public Health Management and Practice, 22, S1–S2.
eCQI Resource Center. (2018). What are electronic clinical quality measures (eCQMs)?
Retrieved from https://ecqi.healthit.gov/ecqms
EHRA. (2017). Interoperability success stories: “e journey continues. Retrieved from http://
www.himss.org/sites/himssorg/#les/EHRA-Interoperability-Success-Stories-june2017.pdf
Fast Healthcare Interoperability Resources. (2018). Welcome to FHIR
®. Retrieved from
https://www.hl7.org/$ir/
EBSCOhost – printed on 3/13/2021 9:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
376 Part III. Medical Care: Treating Americans’ Medical Problems
Fleurence, R., Curtis, L., Cali!, R., Platt, R., Selby, J., & Brown, J. (2014). Launching PCORnet, a national patient-centered clinical research network. Journal of the American
Medical Informatics Association
, 21(4), 578–582.
Friedberg, M. W., Chen, P. G., Van Busum, K. R., Aunon, F., Pham, C. et al. (2013).
Factors
a!ecting physician professional satisfaction and their implications for patient care, health
systems, and health policy
. Santa Monica, CA: RAND Corporation.
Health Care Industry Cybersecurity Task Force. (2017). Report on improving cybersecurity
in the health care industry. Retrieved February 18, 2108, from https://www.phe.gov/
Preparedness/planning/CyberTF/Documents/report2017.pdf
HealthIT.gov. (2018). Clinical decision support. Retrieved from https://www.healthit.gov/
policy-researchers-implementers/clinical-decision-support-cds
Hillestad, R. (2005). Can electronic medical record systems transform health care? Potential
health bene”ts, savings, and costs.
Health A!airs, 24(5), 1103–1117.
HRSA. (2016). Consumer Price Index for medical care. Retrieved from https://www.hrsa.
gov/get-health-care/a!ordable/hill-burton/cpi.html
HRSA. (2018). Telehealth Programs. Retrieved from https://www.hrsa.gov/rural-health/
telehealth/ index.html
Institute of Medicine. (2001).
Crossing the quality chasm: A new health system for the 21st
century
. Washington, DC: National Academies Press.
Institute of Medicine. (2013).
Digital data improvement priorities for continuous learning
in health and health care: Workshop summary
. Washington, DC: National Academies
Press.
Jamoom, E., & Yang, N. (2016). Table of electronic health record adoption and use among
o#ce-based physicians in the U.S. by state: 2015 National Electronic Health Records
Survey. Retrieved from www.cdc.gov/nchs/data/ahcd/nehrs/2015nehrswebtable.pdf
Jarrett, M.P. (2017). Cybersecurity—A serious patient care concern.
Journal of the American
Medical Association
, 318(14), 1319–1320.
JASON. (2013).
A robust health data infrastructure. AHRQ Publication No. 14–0041-EF.
Retrieved from https://www.healthit.gov/sites/default/”les/ptp13-700hhs_white.pdf
Jha, A. K., Perlin, J. B., Kizer, K. W., Dudley, R. A. (2003). E!ect of the transformation of
the Veterans A!airs health care system on the quality of care.
New England Journal of
Medicine
, 348, 2218–2227.
Klein, D. M. (2017). $e veteran-initiated electronic care coordination: A multisite initiative
to promote and evaluate consumer-mediated health information exchange.
Telemedicine Journal and E-Health, 23(4), 264–272.
Klompas, M., Cocoros, N. M., Menchaca, J. T., Erani, D., Hafer, E., et al. (2017). State and
local chronic disease surveillance using electronic health record systems.
American
Journal of Public Health
, 107(9), 1406–1412.
Kohn, L. T., Corrigan, J. M., Donaldson, M. S., (Eds.). (2000).
To err is human: Building a
safer health system
. Washington, DC: National Academies Press.
Lee, B. J., & Forbes, K. (2009). $e role of specialists in managing the health of populations
with chronic illness: $e example of chronic kidney disease.
BMJ, 39, b2395.
Medicare and CHIP Reauthorization Act of 2015. (2015). H.R. 2, P.L. 114–10.
Mehrotra, A., Adams, J., $omas, J., & McGlynn, E. (2010). $e e!ect of di!erent attribution rules on individual physician cost pro”les.
Annals of Internal Medicine, 152(10),
649–654.
Morrissey, J. (2017). MACRA success starts with IT.
Health Data Management, 25(1)(02),
26–29.
MyHealth Access Network. (2018). What we do. Retrieved from https://myhealthaccess.net/
what-we-do/
National Information Center on Health Services Research and Health Care Technology:
Informatics. Retrieved from https://www.nlm.nih.gov/hsrinfo/informatics.html
EBSCOhost – printed on 3/13/2021 9:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 14. Health Information Technology 377
NIH/U.S. National Library of Medicine. (2015). What is precision medicine? Retrieved from
https://ghr.nlm.nih.gov/primer/precisionmedicine/de!nition
NORC at the University of Chicago. (2014). Evaluation of the information technology professionals in health care (“workforce”) program: Summative report. Presented to the O”ce
of the National Coordinator for Health IT. Retrieved from https://www.healthit.gov/
sites/efault/!les/workforceevaluationsummativereport.pdf
Open Notes. (2017). OpenNotes passes the 20 million mark. Retrieved from https://www.
opennotes.org/news/opennotes-passes-the-20-million-mark/
Patel, V., Henry, J., Pylypchuk, Y., & Searcy, T. (2016).
Interoperability among U.S. nonfederal acute care hospitals in 2015. ONC Data Brief, no. 36. Washington, DC: O”ce of
the National Coordinator for Health Information Technology.
PatientPing website. (2018). Retrieved from http://www.patientping.com/
Rahurkar, S., Vest, J. R., & Menachemi, N. (2015). Despite the spread of health information
exchange, there is little evidence of its impact on cost, use, and quality of care.
Health
A!airs
, 34(3), 477–483.
SMART Health IT. (2018). Retrieved from https://smarthealthit.org/
#e O”ce of the National Coordinator for Health Information Technology. (2015).
Connecting health and care for the nation: a shared nationwide interoperability
roadmap, !nal version 1.0. Retrieved from https://www.healthit.gov/sites/default/!les/
hie-interoperability/nationwide-interoperability-roadmap-!nal-version-1.0.pdf
#e Trustees of Dartmouth College. (2018). Dartmouth Atlas of Health Care. Retrieved from
http:// www.dartmouthatlas.org/data/region/
Tripathi, M. (2012). EHR evolution: Policy and legislation forces changing the EHR.
Journal
of AHIMA
, 83(10), 24–29.
Turvey, C., Klein, D., Fix, G. et al., (2014). Blue Button use by patients to access and share
health record information using the Department of Veterans A$airs’ online patient
portal.
Journal of the American Medical Informatics Association, 21(4), 657–663.
U.S. Government Accountability O”ce. (2014). VA and DOD need to support cost and
schedule claims, develop interoperability plans, and improve collaboration.
GAO
Reports
, i–42.
Walker, J., Pan, E., Johnston, D., Adler-Milstein, J., Bates, D. W., & Middleton, B. (2005). #e
value of health care information exchange and interoperability.
Health A!airs, Jan-Jun:
W5-10–W5-18.
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15
The Future of Health Care
Delivery and Health Policy
James R. Knickman and Brian Elbel
LEARNING OBJECTIVES
Explain why it is important to forecast the future
Understand the forces in health care that shape change in the health system
Describe the roles various stakeholders play in shaping the future
Evaluate predictions about how the health system changed over the last
five years
Identify key challenges that will receive attention in the coming years
KEY TERMS
outcomes
predictive analytics
stakeholders
telehealth
value
TOPICAL OUTLINE
Why thinking about the future is important in health care planning
Approaches to predicting the future
Forces shaping change in the health system
Key challenges that will receive attention in upcoming years
Future prospects for different stakeholders in the health enterprise
© Springer Publishing Company DOI: 10.1891/9780826172730.0015
Copyright 2019. Springer Publishing Company.
All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.
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AN: 1998657 ; James R. Knickman, PhD, Brian Elbel, PhD, MPH.; Jonas and Kovner’s Health Care Delivery in the United States, 12th Edition
Account: s3563253.main.ehost

382 Part IV. Future of U.S. Health Care
INTRODUCTION
!is “nal chapter focuses on the future of health and health care: Where is health
care in America headed? What are the forces that will shape health care over the next
5 to 20 years? Predicting the future is a precarious
undertaking. Fortunately for those who try to do
it, most people forget what you predicted in
the past when the future actually happens!
As authors, we will at least present our
“self-evaluation” of predictions we made 5
years ago in the “nal chapter of the 11th edition of this text (Knickman and Kovner, 2015). In
that chapter, Knickman and Kovner suggested to
readers that the biggest changes over this recent period of time would focus on science and knowledge breakthroughs, major changes in payment approaches moving
toward what has been called value-based payment systems in the above chapters,
and marked movements toward integration of medical care with organizations
merging and growing in both size and scope. Actually, these were rather accurate
predictions, although the changes over the last 5 years have not been transformative but rather have involved steady small steps in the directions we suggested. In
this chapter, we suggest that many of the changes we predicted earlier will continue
to be major preoccupations of the health system in the next few years.
We dramatically missed one key thing that changed over recent years: the
political dynamics in Washington, that have had sizable impacts on recent changes
in the health system. As the 11th edition went to press, Barack Obama was serving a second term as president and was steadily steering the nation toward a more
communal approach to “nancing health care (with large subsidies from the rich
to poor and near-universal access to health insurance). He also was advancing
approaches to public health and controversial services like abortion in directions
favored by the more liberal parts of the American population. We never anticipated that voters would choose a stark change in leadership that is now moving
health care and public health in very di#erent directions. To say the least, this
shows the precarious nature of forecasting the future.
However, it is worth the time and energy to think about the future and the
forces that shape it. For an individual planning to work as a health professional,
a sense of the future o#ers insight about what types of employment might be the
most meaningful and the most viable. As a health care manager, making choices
about how to ensure your hospital, medical practice, public health agency, or
health care company is ready for the future requires a base of understanding
about the dynamics shaping change. For a future policy maker, it is important
to understand clearly how the system is evolving, what forces are shaping it, and
how di#erent changes in policy might a#ect future trends.
Even at the individual patient level, there is more and more attention on the
issue of predicting the future. !e concept of
predictive analytics is the attempt
to look at a patient’s past utilization of services, past behavioral choices, and
Integration and consolidation
of services like long-term
care, physician practices,
outpatient surgery, and even
insurance may well continue,
and their impact on health
outcomes is yet unknown.*
*To hear the podcast, go to https://bcove.video/2DZA9E4 or access the ebook on Springer Publishing ConnectTM.
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Chapter 15. The Future of Health Care Delivery and Health Policy 383
existing health needs to forecast the patient’s
use of health care in the future (Bates, Saria,
Ohno-Machado, Shah, & Escobar, 2014).
!is “eld is getting increasingly sophisticated in using “big data” to make forecasts
about a broad range of health issues such as
whether a speci”c patient is at high risk of
falling while in a hospital or whether a speci”c
person is at high risk of becoming addicted to opioids if they are prescribed. !is
new type of forecast information shapes the delivery of both medical care and
prevention-oriented interventions. We predict that this type of prediction will
advance, though likely not as fast as many currently assume.
!e predictions presented here are shaped by our vantage points as professors and active researchers working with a wide range of experts who actually
shape the future of our health system. We also are fortunate to be able to base
our forecasts on the analysis and insights presented by the accomplished and
thoughtful authors in the 14 previous chapters of this text.
FORCES SHAPING CHANGE IN THE HEALTH SYSTEM
!e preceding chapters present explanations of the forces that have shaped the
health care system over the past 20 years or so and identify the challenges most
important to address to improve the
value and outcomes of health care. We think
there are six key forces to keep in mind when developing forecasts for the future.
New Knowledge and Technology
By far, the key driver of potential change in the health system is emerging technology and medical know-how. It is possible that the rate of new breakthroughs
in medicine and health promotion will be even faster than in the recent past.
One source of medical progress relates to the sequencing of the human genome
at the start of the 21st century. It is now possible to map an individual’s personal
genome for less than $1,000; in the future, this information could act as the guide
for identifying which new medical interventions (especially pharmaceutical interventions) work for a speci”c person and which ones will have terrible side e#ects
or be ine#ective. !is knowledge will usher in an era of personalized medicine.
Each cancer patient, for example, may have a treatment regimen most likely to
work for that person based on his or her genome (Ginsburg & Phillips, 2018).
Current research e#orts could lead to a better understanding of the risks facing each individual at birth related to contracting chronic diseases or speci”c categories of medical problems later in life. Potentially, preventive interventions will
be able to alter the risk for speci”c conditions such as heart disease or Alzheimer’s disease. Other advances also likely will occur, such as a universal vaccines for
the $u or similar illnesses, which a person would need to take only once in his or
her life. We hope this will also be the case for HIV.
Having some sense of how the
system is evolving at any point
in history is useful for efforts
to shape the system, no matter
what one’s role.
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384 Part IV. Future of U.S. Health Care
Another major source of possible treatment improvements is stem-cell
research. Stem-cell technologies could make it possible to grow tissue from a speci!c individual and for a speci!c organ. “is tissue could be used to guide treatment
interventions by seeing which interventions cause positive responses in the tissue
where the disease is. Perhaps most dazzling, stem cells could grow new organs that
would not be rejected by an individual when transplanted (Garakani & Saidi, 2017).
Somewhat related to the emerging knowledge from science and medical
research is the likely emergence of new technologies to change the way medical
providers manage our care. We already are experiencing the rapidly growing role
of robotics in helping surgeons perform surgery with less invasive procedures.
“e newest form of technology that could transform health care is arti!cial
intelligence, or machine learning techniques (Beam & Kohane, 2018). Such methods can see patterns and connections in vast amounts of data in ways that are
di#cult for humans. “ese methods could make some of the personalized treatment above more common and assist doctors with diagnosis and management. It
is becoming clearer how the digital revolution of the past 20 years will a$ect the
ability of providers and patients to monitor health care problems remotely and
have information relayed back and forth without the need for patients to visit
doctors or go to a provider for testing and monitoring.
Some of these technologies could lower medical care costs and markedly
expand the lifespan of individuals, and some will be quite expensive, especially
when !rst introduced. What is new is that some interventions associated with
applications of genome and stem-cell research and digital technologies will be prevention oriented. Lowering your risk of a heart attack or another life-threatening
medical problem 20 years from now by undergoing some preventive intervention
may become commonplace—but not necessarily a$ordable. Others could be very
expensive but also not have a less dramatic in%uence on outcomes.
Such new medical interventions that could shape the future health system
will be a challenge for the U.S. health care !nancing system. Will public and private payers be willing to fund these innovations? How much should we invest as
a nation to fund the research to develop this new knowledge? What share of the
research should be paid for by Americans and what share by residents of other
countries? “e changing world of medicine and science will raise many questions
and challenges about the future—and our nation will need to address them all.
Income Disparities
It is an exciting prospect that new technologies and “know-how” will improve
both medical care interventions and our ability to keep people healthy. A challenge will be whether disparities in income will make for di#cult choices about
adoptions of these technologies.
On the one hand, if we decide to make them available to every American,
there will be further strains on government budgets (which would need to support these services for lower-income Americans). “is will force choices about
what other types of social investments would be foregone.
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Chapter 15. The Future of Health Care Delivery and Health Policy 385
!e other possibility is that we will let these technologies be used based
on an individual’s ability to pay for them. Since some are prevention oriented,
unequal access to life-extending interventions may not be noticed for many years.
It is unclear how the majority of Americans will react if life expectancies for the
wealthy increase markedly while life expectancies for the bottom half or perhaps
the bottom 65% of Americans remain unchanged. Life expectancies already are
substantially higher for the wealthy than the poor. For example, in 2014, life expectancy was 87 years for men in the top income quartile compared to 77 years for
men in the bottom income quartile, with similar di”erences found among women
(Chetty et al., 2017). !e reactions to the appropriateness of bigger spreads in life
expectancy clearly will shape the future of the spread of the new approaches to
promoting health and longevity being dreamed up these days.
The Potential of Creating a More Vibrant Culture of Health
More and more attention in the American health system is focused on the challenge of helping people live healthy lifestyles that will reduce their needs for medical care and improve the quality of life. !is lifestyle change approach is the great
new hope for reigning in our ever-increasing share of resources being devoted to
medical care. !e topic was covered in depth in Chapters 4 and 5.
One key shaper of this new focus on what sometimes is called “population
health” has been a stream of research, starting with McGinnis and Foege (1993)
in the United States and in the UK with work by Marmot and colleagues (1991),
that shows how much social determinants of health, rather than medical care,
in#uence life expectancy and the quality of life. As discussed frequently in the
text, we now understand that well-being is not mainly due to medical care; it is
due to how we lead our lives day to day.
In addition to research, the new focus on trying to keep people healthy has
been in#uenced by the work of Donald Berwick (2008), initially while he headed
the Institute for Health Improvement and then when he served as the head of the
Centers for Medicare & Medicaid Services for the federal government between
2010 and 2011. Berwick developed the now well-known Triple Aim for the health
system (discussed in Chapter 12) that explained in crisp terms the three goals we
should have to improve the health of Americans:
■■ Improving the patient experience of care (including quality and satisfaction)
■■ Improving the health of populations (with a focus on prevention, lifestyle changes, and
the social determinants of health)
■■ Reducing the per capita cost of health care (by focusing on delivering only care that has
high value for the patient)
Health professionals have found these three aims compelling and logical, and
the Triple Aim has motivated much more attention to both helping people lead
healthy lives and considering how to eliminate health care that does not center
on what patients want or need or that is not delivered in a high-quality, patientcentered manner.
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386 Part IV. Future of U.S. Health Care
Finally, philanthropies, especially the Robert Wood Johnson Foundation
(RWJF), have become more and more focused on this population health challenge. RWJF has shaped its grant-making around the idea of creating a “culture
of health” that will make healthy living the norm and the easy choice to make
(Weil, 2016). A culture of health can happen by encouraging new norms that
shape behavior and by using public policy to make it easier for people to make
healthy choices: by building bike lanes, making healthy food more accessible, and
taxing unhealthy things like cigarettes and sweetened beverages.
Most experts would say this culture of health goal is still more an aspiration
than a reality. Many wealthy, younger Americans have embraced the idea, but it
has not deeply penetrated less wealthy and less healthy parts of our population.
However, we expect it will be a shaping force that could a!ect our health system
in the years to come.
An Aging Population
“e quiet but relentless demographic change a!ecting the health system is the
aging of our population. In 1970, 10% of our population was over 65, but by 2030,
more than 20% will be over 65 (U.S. Census Bureau, 2014). Our medical care system will become increasingly focused on the care of people over 75, who tend to
have many chronic conditions and who frequently will require long-term care services, potentially expensive life-expanding services, and end-of-life services.
We do not really have a plan as a nation for how to meet the special needs of
an aging population. “ere are not enough service providers trained in geriatrics
or in how to deliver patient-centered care to people with complex medical conditions. While in past generations families have provided much of the supportive
care for aging relatives, family structure changes, longer work hours for both sons
and daughters, and residential mobility make family care giving more challenging.
Integration, Consolidation, and Other Changes in
How Care Delivery Is Organized
Perhaps the biggest unknown in health care today is whether all of the current
e!orts to form integrated networks (see Chapter 11) will happen on a large
scale and will improve health outcomes. Even in 2015, we noted this trend as
important, and much consolidation has happened over the past 5 years. Federal
grants to states during the Obama administration encouraged and supported
integration in many states. Hospitals are merging into large, sometimes regional
health systems involving not only hospitals but also long-term care facilities,
physician practices, and diagnostic and outpatient surgery capacity. In some
cases, health systems are even starting insurance companies to integrate the
insurance/payment functions with delivery functions; value-based payment
programs also are, in essence, encouraging hospitals to take responsibility for the
total health of populations of people.
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Chapter 15. The Future of Health Care Delivery and Health Policy 387
!ere is not strong evidence, however, that these integrated systems lead to
better outcomes (Martin et al., 2016). !ere is a logic about integration as a strategy for improving e”ciency of resource use and outcomes of care, but whether
the wide array of provider types function well in this integrated environment
and whether these systems are manageable remain open questions. Integrated
networks have worked for systems such as the Kaiser-Permanente HMO, Intermountain Healthcare in Utah, the Geisinger Health System in Pennsylvania,
Group Health of Puget Sound, and the Mayo Clinic in Minnesota. However, these
systems have consistently been outliers in terms of their management and #nancing approaches. !e challenge is whether the practices of these forward-thinking
outliers can become the norm for the health industry.
!e other question mark regarding the move toward integration is whether
consolidation will weaken competition across providers, leading to price increases
even if these networks are more e”cient and e$ective. Economists generally postulate that, in most markets, market power drives prices more than e”ciency
(Glied & Altman, 2017; Sche%er, Shortell, & Wilensky, 2012). It will be a di”cult
balancing act for federal and state regulators to encourage the e”ciency potentially associated with consolidation and to ameliorate the antitrust, anticompetitive side e$ects of consolidation.
Other organizational changes also will a$ect the delivery of health care
across the country. Centers of excellence that develop great reputations for value
and outcomes for speci#c types of surgeries and procedures may begin to draw
patients from wider geographical areas. Insurers could contract with these centers of excellence and convince patients to travel longer distances to use them
when they have a major health problem.
Disruptive Innovation
!e #nal force shaping change in the health system is disruptive innovation from
new health care players. We saw an initial example of this type of innovation in
the rapid spread of the idea of urgent care centers. !ese centers were #rst built
by entrepreneurs who saw opportunities to gain “market share” from emergency
rooms and private physician practices.
Many other new ideas are being pursued by entrepreneurs working to make
health care more accessible for patients and making the patient experience more
attractive. New approaches to meeting the medical needs of patients include creating access to providers by e-mail or by telehealth tools, encouraging the use of
apps that help people manage their chronic conditions, opening insurance companies that devote more resources than typical to prevention-oriented services,
and starting new pharmaceutical companies that bring expensive drugs to market that address the needs of very small subsets of the population.
!e number and scope of disruptive innovators are likely to expand quickly in
the coming years. Consumers are very interested in care delivery approaches that
o$er easier access and more amenities: that is, more patient-focused services.
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388 Part IV. Future of U.S. Health Care
KEY CHALLENGES THAT WILL RECEIVE ATTENTION
IN UPCOMING YEARS
Improving the Financing and Insurance Systems in Light of
Ideological Differences
!e approach to “nancing health care in America and the functioning of the
insurance system clearly have evolved steadily over the past 5 to 10 years. However, these systems are still not working to ensure access to care for all Americans,
and they are not yet encouraging e#cient, value-oriented health care delivery in
most communities. !e insurance system, in particular, is in a precarious condition. More and more Americans work in settings where employers do not provide
insurance coverage, and the price of insurance when purchased in the individual
insurance market or through the Obamacare exchanges is often una$ordable for
many working Americans.
Resolving the problems in the “nancing and insurance systems, however, is
made quite complex given the stark di$erences in ideology among America about
how the challenges should be addressed. Clearly, health care is a service where
insurance is required because of the high costs of care and the variation in each
person’s risk of needing expensive services at any point in time. But, in order
to design insurance systems that work, it is crucial that more consensus evolve
about the roles government should play and about how much we should share the
burden of health care needs across our population.
About half the American population currently believes that government needs
to play crucial roles and that resources need to be redistributed from wealthy
Americans to those who work but earn below median incomes. !e other half of
the population believes that anything the government does will be done poorly.
In addition, a large share of Americans believe in the idea of rugged individualism
where by each person needs to take care of him- or herself without redistribution
of resources.
Even in the case of private insurance markets, many Americans do not think
that healthier parts of the population (e.g., young people or people who do not
have chronic health conditions) should pay more for insurance than might be necessary to protect their speci”c risk of needing care in order to subsidize the costs
of insurance for parts of the population that have more expensive expected health
care needs. Oher Americans feel that this is what insurance is about: spreading
resources from the healthy to the less healthy with the presumption that, over the
course of a lifetime, most individuals will have periods where they do face either
chronic health conditions or relatively random acute conditions like cancer.
It will be a real challenge to design insurance systems that work e#ciently
without resolving these ideological di$erences. And it will be di#cult to have
stable markets for insurance if power shifts continually from faction to faction of
the population.
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Chapter 15. The Future of Health Care Delivery and Health Policy 389
Helping People Lead Healthy Lives
We clearly are attempting as a nation to increase attention on keeping people
healthy, rather than thinking of the health system as totally focused on medical care that helps people when they get sick. We will increasingly try to move
“upstream” in attempts to improve the health of Americans and avoid high costs
of medical care.
However, we have a lot to learn about accomplishing this ambitious goal. It
is easy to identify the problems but di!cult to solve them. Poor access to a”ordable, healthy food and poor choices about what to eat are clear challenges, and
we do not yet have evidence-based policies or interventions that result in people
making better and consistent choices to eat healthy food. #is is also true about
behaviors such as keeping physically active or drinking, smoking, or using opioid
drugs inappropriately.
Another challenge in creating a culture of health and making people healthier
day by day is $nding funds to pay for interventions that would transform population health. In theory, we would like to see some of our huge investments in
medical care move to become investments in healthy living, but $nding means to
redirect this money from the health system has been di!cult. Many of the investments needed to improve population health involve investments in social services
that address people’s social determinants of health. But there is no consensus
about the logic of funding such social services because strong evidence about the
e”ectiveness of speci$c types of social services often is lacking or not believed.
But energy is being directed at this challenge by the public sector, the health
care sector, and private companies. Many communities are establishing the goal
of creating a healthy community as a central commitment. Changing individuals’
behaviors to encourage healthy choices, $nding social and community interventions that work, and advancing the idea of a culture of health will take time and
will be a challenge. It is di!cult to predict when we will reach what Malcolm
Gladwell (2002) has termed “the tipping point.”
Addressing the Fundamental Cost Problem Related to Medical Care
A simple truth is that health care is just too expensive for the average American.
As an example, consider the expenditures on health care for a typical 55-year-old
covered by employer health insurance. #e insurance for this person averaged
$9,700 per year in 2015, and this person paid another $1,270 per year in outof-pocket medical expenses (Health Care Cost Institute, 2016). For a married
couple, this would add up to just under $22,000 per year. #is is a lot of resources
devoted to health care, especially since 50% of workers who are 55 earn less than
$50,000 per year and 30% earn less than $30,000. #e allocation of approximately
$22,000 to health care for a married couple in this age group seems like a very
large share of the total resources they have to pay for all of their needs. And, the
burden of health care is even larger when a married couple is either not covered
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390 Part IV. Future of U.S. Health Care
by employer insurance or when one of the two people has a job or a job that pays
less than an average amount.
!is large allocation of resources to health care might be worth the costs,
but it is disturbing that a good share of the expenditures are due to potentially
avoidable factors: (a) delivery of low value services that do not create much
improved health, (b) high prices likely caused by using a market approach to setting prices in markets that do not work well, and (c) unhealthy lifestyles that many
people lead as discussed earlier.
An ongoing challenge for the health system and a topic that will be front and
center for health policy is attacking all three types of drivers of high expenditures
for health care. It seems clear that federal and state governments either need to
make markets work better or need to regulate more directly what services get
delivered and what prices are paid for these services. And we need to accomplish
the goal of creating a culture of health that leads to improved population health.
Markets could work better if we made sure that there is adequate competition
among providers in every community and that these providers are competing
by having to deliver valued services and by having to keep prices as low as possible. Markets also would work better if governments could negotiate the prices
they paid for services. !is type of negotiation works within many states that run
Medicaid program but does not function at the federal level in establishing prices
for devices, supplies, and pharmaceuticals for the Medicare program.
If lower prices and the elimination of low-value services is not possible, another
alternative would be to at least ensure that every American has access to an a”ordable approach to medical care delivery. Other markets have created products that
do not have every bell and whistle but that do represent viable low-cost options.
One example is the automobile industry, where a person can spend $100,000 on
a fancy car but also can purchase a car for $15,000 that does an e”ective job of
getting the person safely from place to place. A challenge for the medical care system is to determine what an a”ordable choice for health care that leads to e”ective
and safe care would look like. Disruptive entrepreneurs, such as Amazon, along
with existing provider systems, such as Kaiser Permanente, are working on this
type of option. !e coming years will reveal whether such e”orts are successful.
Improving Quality, Outcomes, and the Patient Experience When
Receiving Care
!e#nal challenge we predict will be addressed by the health system in the coming
years is a push to improve quality, outcomes, and the patient care experience.
Chapter 12 laid out the challenges facing quality improvement in our country. We
expect big progress in this area driven by using electronic health records to drive
quality (see Chapter 14) and by using big data to develop more evidence-based
approaches to delivering care and managing the delivery of care. !is improved
quality of care should lead to better outcomes and perhaps lower need for extra
care related to poor quality.
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Chapter 15. The Future of Health Care Delivery and Health Policy 391
!e lack of focus on improving the patient experience as medical care is
being delivered as a shortcoming of our health system that has come into focus in
recent years (Trzeciak & Mazzarelli, 2016). Too many patients are not given the
chance for shared decision making regarding important choices about alternative treatment approaches. Too many patients do not even know what providers
will charge for a given service. And often health care providers do not respect the
time of patients or make services available when it is easy for patients to receive
care.
Why is focused attention on consumer preferences not normal practice in
health care as it is in almost every other service sector of our economy? Perhaps it is because providers too often see insurers as their customers, rather than
patients. After all, it seems to a provider that the insurer is often paying the bill,
rather than the patient.
Whatever the cause of less-than-ideal delivery practices and poor transparency that have been common in health care delivery, we think the demands for
more patient-centered care will increase over the coming years. Again, disruptive
innovators have noted this shortcoming in the health system and are designing
ways to improve the patient experience in numerous ways. It is likely that the
disruptors will force traditional providers to change their attentiveness to what
patients expect when they need medical care services.
FUTURE PROSPECTS FOR DIFFERENT STAKEHOLDERS
IN THE HEALTH ENTERPRISE
When looking toward the future, it is always useful to consider how di”erent
stakeholders could be a”ected. One constant in social interactions is that when
a stakeholder is a”ected by a changing environment, the stakeholder reacts and tries
to improve its position. How will key stakeholders be a”ected by the changes we predict, and how will they react? We consider
the #ve key stakeholder groups identi#ed in
Chapter 1.
Providers: Hospitals, Physicians, Nurses, and Other Caregivers
Each type of provider is a”ected by the technology of delivering service, the organizational environment a”ecting everyday work life, and #nancial arrangements.
In many ways, the core practice of medicine will remain the same while continuing to evolve with emerging technology and know-how. However, organizational
change likely will alter the day-to-day experience of some health care professionals.
!e new world of health care #nance could either decrease incomes (as has happened for many types of physicians in recent years) or slow income growth.
One constant in social
interactions is that when a
stakeholder is affected by a
changing environment, the
stakeholder reacts and tries to
improve its position.
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392 Part IV. Future of U.S. Health Care
How will physicians, hospitals, and other providers react? First, they will be
politically active, looking to protect their personal interests a!ected by public
policy. Second, they will seek more market power and more organizational power
to control what happens to them. Finally, they will adapt and learn how to thrive
in a changing health care world. “is is what has happened in the past and what
happens in most industries that undergo substantial change.
Employers
To date, employers have played a relatively passive role, accepting increases in
the cost of the insurance they pay and working in small ways to shape insurance
o!erings that o!er incentives to stay healthy and not to overuse health care. If
employers continue to o!er employees insurance coverage, they will continue to
seek approaches that limit their medical care liabilities, and they will continue to
encourage wellness activities that help to lower health costs and increase workforce productivity. “ey also will continue to add higher deductibles and copays
to pass part of cost increases along to employees.
However, employers also could begin to exert active roles in health care, as
described earlier. “ey will seek ways to limit increases in the health-related costs
they have to pay. As the future evolves, this stakeholder will probably do well.
Insurers
“e insurance system could face substantial changes as large health systems #nd
it attractive to start their own insurance companies. However, the large insurance companies in the United States are increasingly diversi#ed corporations that
provide a wide range of services and expertise beyond managing risk and making
payments. Most companies have sophisticated analytics capability, the ability to
manage and use the very large data sets that are becoming important for managing health care systems, and the ability to use information technologies to manage the $ow of dollars among players in the health system. Even if health systems
start insurance companies, the major insurance corporations likely will provide
services related to these insurance operations at health systems.
Public Policy Makers
Federal policy makers will be preoccupied with the di%cult choices that must
be made about the growing costs of the Medicare and Medicaid programs. In
the case of Medicare, even if the growth of costs per enrollee slows (as occurred
in 2013 and 2014), the aging of our population will increase total expenditures.
“e political dynamics in Washington also suggest that the grand debate about
how much responsibility government should have to ensure access to health
care for the poor and elderly will endure for the near future. “ere are sharp
divisions between conservatives, who feel government should have as small a role
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Chapter 15. The Future of Health Care Delivery and Health Policy 393
as possible, and liberals, who think government should ensure access to health
care services and is the logical entity to organize and fund insurance coverage for
elders and the poor.
At the state level, we can continue to expect great di!erences in approaches to
Medicaid services across states. Some states will try to limit the size of Medicaid
programs as much as possible, whereas others will use Medicaid to expand services
to state residents. Of course, all states will be interested in new organizational
and reimbursement approaches that lower the per bene”ciary costs of Medicaid.
Trying to make this happen will be a major activity at the state government level.
Consumers
Finally, we get to what the possible changes will mean to users of the health system.
In the current system, it is amazing that providers and payers and policy makers
sometimes seem to view consumers as bystanders. Placing consumers at the center of every health care transaction and decision should be the goal of how the
sector operates. It is possible that consumer advocacy groups could become more
prominent in debates about how medical care is structured. It is also possible that
consumer voices will more actively shape public policy if health issues become
central concerns in political elections. Clearly, how consumers continue to react
to experiences with the Patient Protection and A!ordable Care Act (ACA) will
have large rami”cations for the initiative’s future status.
Consumers will face many important personal decisions related to how they
interact with the health system. #ey will need to decide whether they are willing to pay more money themselves for access to a wide panel of providers or
whether they are willing to use a narrow network in order to lower their out-ofpocket spending. #ey will need to decide how much risk they want to take in
the form of large deductibles and copays that will lower insurance premiums but
increase their “nancial liability when illnesses occur. In addition, as described
earlier, there likely will be many more medical interventions that become possible
that are not covered by insurance. Consumers will need to determine how much
of their wealth they will invest in interventions that could increase their chances
of leading longer and healthier lives.
CONCLUSION
We began this text with a list of key stakeholders who shape the U.S. health care
system: consumers; providers of care; insurance, pharmaceutical, and medical
device companies; payers; and public policy makers. We ended with an assessment of likely e!ects of changes in our health system on each of these stakeholders.
#ese stakeholders all play a part in what will happen and in how it will happen.
One of the most important requirements for an improved health system, however, is a cadre of motivated, well-trained, thoughtful leaders working throughout
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394 Part IV. Future of U.S. Health Care
the health system. !e earlier chapter on governance and management (Chapter
14) explains how good leadership is developed and emphasizes two important
traits of e”ective leaders: (a) they are transparent, and (b) they hold themselves
accountable. Leaders with these attributes are needed at the policy level and at
the private-sector, corporate level. !ey are needed to organize the voices of consumers. Perhaps most important, leaders are needed throughout our health care
service delivery system and our public health system.
Improvements come from the hard work and coordination of many individuals
with knowledge and motivation. !e readers of this book who are preparing for
careers in the world of health care should be prepared for an exciting era of innovation and change in our health system. You should lead as health professionals,
as consumers and patients, as citizens, and as payers of health care. !e system
will not improve without such leadership and the energy that comes from it.
CASE EXERCISE—PAYMENTS AND BUDGET CAPS IN MEDICARE
Discuss what would have to take place in the United States for passage of either a singlepayer system or budget caps in total payments to providers under the Medicare program.
Address questions such as the following:
1. How will political ideology affect such a consideration?
2. How will out-of-pocket costs affect such a possible change?
3. What would be the transition challenges of making such a change?
t
DISCUSSION QUESTIONS
1. Why is it di#cult to forecast the future of health care delivery in the United States?
2. Analyze a forecast about health care delivery. Do you agree or disagree with the forecast and why?
3. What forces do you think will drive the health care delivery system over the next
4 years?
4. What do you think are the most important ways the ACA will be changed in 2020?
REFERENCES
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health
care: Using analytics to identify and manage high-risk and high-cost patients.
Health
A!airs, 33
(7), 1123–1131. doi:10.1377/hltha!.2014.0041
Beam, A. L., & Kohane, I. S. (2018). Big data and machine learning in health care.
Journal of
the American Medical Association, 319
(13), 1317–1318. doi:10.1001/jama.2017.18391
Berwick, D., Nolan, T., Whittington, J. (2008). “e triple aim: care, health, and cost.
Health
A!airs, 27
(3). https://doi.org/10.1377/hltha!:27.3.759.
EBSCOhost – printed on 3/13/2021 9:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
Chapter 15. The Future of Health Care Delivery and Health Policy 395
Chetty, R., Stepner, M., Abraham, S., Lin, S., Scuderi, B., Turner, N., … Cutler, D. (2016). !e
association between income and life expectancy in the United States, 2001–2014.
Journal
of the American Medical Association, 315
(16), 1750–1766. doi:10.1001/jama.2016.4226
Garakani, R., & Saidi, R. F. (2017). Recent progress in cell therapy in solid organ transplantation.
International Journal of Organ Transplantation Medicine, 8(3), 125–131. PMCID:
PMC5592099
Ginsburg, G. S., & Phillips, K. A. (2018). Precision medicine: From science to value.
Health
A!airs, 37
(5), 694–701. doi:10.1377/hltha”.2017.1624
Gladwell, M. (2002).
“e tipping point: How little things can make a big di!erence. Boston,
MA: Back Bay Books.
Glied, S. A., & Altman, S. H. (2017). Beyond antitrust: Health care and health insurance market trends and the future of competition.
Health A!airs, 36(9), 1572–1577. doi:10.1377/
hltha”.2017.0555
Health Care Cost Institute. (2016).
2015 Health care cost and utilization report. Washington,
DC: Health Care Cost Institute. Retrieved from http://www.healthcostinstitute.org
Knickman, J., and Kovner, A. (2015).
Jonas and Kovner’s Health Care Delivery in the United
States
, 11th ed. New York, NY: Springer Publishing Company, LLC.
Marmot, M. G., Stansfeld, S., Patel, C., North, F., Head, J., White, I., … Smith, G. D. (1991).
Health inequalities among British civil servants: !e Whitehall II study.
“e Lancet,
337
(8754), 1387–1393. doi:10.1016/0140–6736(91)93068-K
Martin, L. T., Plough, A., Carman, K. G., Leviton, L., Bogdan, O., & Miller, C. E. (2016).
Strengthening integration of health services and systems.
Health A!airs, 35(11),
1976–1981. doi:10.1377/hltha”.2016.0605
McGinnis, J. M., & Foege, W. H. (1993). Actual causes of death in the United States.
Journal of the American Medical Association, 270(18), 2207–2212. doi:10.1001/
jama.1993.03510180077038
Sche#er, R. M., Shortell, S. M., & Wilensky, G. R. (2012). Accountable care organizations
and antitrust: Restructuring the health care market.
Journal of the American Medical
Association, 307
(14), 1493–1494. doi:10.1001/jama.2012.451
Trzeciak, S., & Mazzarelli, A. J. (2016). Patient experience and health care quality.
Journal of
the American Medical Association, 176
(10), 1575. doi:10.1001/jamainternmed.2016.5435
U.S. Census Bureau. (2014).
65+ in the United States: 2010. pp. 23–212. Washington, DC:
U.S. Government Printing O$ce.
Weil, A. R. (2016). Building a culture of health.
Health A!airs, 35(11), 1953–1958.
doi:10.1377/hltha”.2016.0913
EBSCOhost – printed on 3/13/2021 9:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use
EBSCOhost – printed on 3/13/2021 9:35 AM via LOUISIANA STATE UNIV AT SHREVEPORT. All use subject to https://www.ebsco.com/terms-of-use