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Making Equity a Value in Value-Based Health Care

Alberti, Philip M. PhD; Bonham, Ann C. PhD; Kirch, Darrell G. MD

doi: 10.1097/ACM.0b013e3182a7f76f

Equity in health and health care in America continues to be a goal unmet. Certain demographic groups in the United States—including racial and ethnic minorities and individuals with lower socioeconomic status—have poorer health outcomes across a wide array of diseases, and have higher all-cause mortality. Yet despite growing understanding of how social-, structural-, and individual-level factors maintain and create inequities, solutions to reduce or eliminate them have been elusive. In this article, the authors envision how disparities-related provisions in the Affordable Care Act and other recent legislation could be linked with new value-based health care requirements and payment models to create incentives for narrowing health care disparities and move the nation toward equity.

Specifically, the authors explore how recent legislative actions regarding payment reform, health information technology, community health needs assessments, and expanding health equity research could be woven together to build an evidence base for solutions to health care inequities. Although policy interventions at the clinical and payer levels alone will not eliminate disparities, given the significant role the social determinants of health play in the etiology and maintenance of inequity, such policies can allow the health care system to better identify and leverage community assets; provide high-quality, more equitable care; and demonstrate that equity is a value in health.

Dr. Alberti is senior director, Health Equity Research and Policy, Association of American Medical Colleges, Washington, DC.

Dr. Bonham is chief scientific officer, Association of American Medical Colleges, Washington, DC.

Dr. Kirch is president and CEO, Association of American Medical Colleges, Washington, DC.

Funding/Support: None.

Other disclosures: None.

Ethical approval: Not applicable.

Correspondence should be addressed to Dr. Alberti, Association of American Medical Colleges, 2450 N St., NW, Washington, DC 20037; telephone: (202) 828-0522; e-mail:

Equity in health and health care in America continues to be a goal unmet. Certain demographic groups in the United States—including racial and ethnic minorities and individuals with lower socioeconomic status—are less likely to get the preventive care they need to stay healthy, more likely to suffer from chronic illnesses such as diabetes and heart disease, more often to live in neighborhoods where they are exposed to harmful environmental pollutants, less likely to have access to optimal health care, and, in general, have poorer health outcomes across a wide array of diseases and have higher all-cause mortality.1–3 These disparities have deep roots in the social determinants of health: the circumstances in which people are born, grow, live, work, and age.4 Yet despite our growing understanding of how social-, structural-, and individual-level factors maintain and create inequities, solutions to reduce or eliminate them have been elusive.

Given this intransigence, it is no surprise that reducing systematic, avoidable differences in health between socially advantaged and disadvantaged groups has become a priority for providers, researchers, and policy makers alike.4–7 The decade-old Institute of Medicine report, Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care, documented pervasive disparities across the health care system and called for research-driven solutions and the dissemination and implementation of those solutions.6 The National Healthcare Disparities Report 2012 from the Agency for Healthcare Research and Quality (the most recent of these reports) suggests that progress has been minimal or absent.2 Despite decades of effort and commitment, the existing evidence base for policy- and research-driven solutions remains insufficient.8–11

Certainly there are examples where local, context-specific interventions to achieve health and health care equity have proven successful,12 and efforts to embed cultural and linguistic competency and cultural humility into medical education and clinical care have been embraced.13–15 However, a powerful lever has yet to be pulled: the implementation of upstream policies that change the underlying systems that promote health inequities. Although policy interventions at the clinical and payer levels cannot single-handedly eliminate disparities given the significant role the social determinants of health play in morbidity and mortality,16,17 such policies can allow our health care system to better identify and leverage community assets; provide high-quality, more equitable care; and narrow the gaps.

The Patient Protection and Affordable Care Act (ACA) contains numerous provisions with the power to reduce inequities in both health and health care.18–20 These include improved demographic data collection, broader clinical and community-based prevention efforts, funding for community health grants, expanded health care access for underserved populations, and stronger commitments to workforce training for public health and clinical health care providers. The legislation has also set into motion changes in Medicare and Medicaid reimbursement and performance incentive plans for hospitals and physicians that could further help reduce health care inequities. The new payment models move away from fee-for-service rates to models that favor reimbursement for episodes of care (“bundled payments”) or to those that emphasize quality-driven, coordinated, population-based care through medical homes and accountable care organizations. Under the Centers for Medicare and Medicaid Services’ (CMS’s) Hospital Value Based Purchasing program, for instance, hospitals will be given incentives to meet quality targets related to improved health outcomes and patient satisfaction, and penalized for “excessive readmissions” (starting in 2013) and iatrogenic infections (starting in 2015). CMS is also implementing a value-based modifier that directly targets physicians and physician groups, paying them differentially based on performance on quality and on cost measures. The upshot for health and health care inequities? Many of the proposed value-driven payment models in the ACA focus on preventable conditions that disproportionately affect racial/ethnic minorities and the poor.21,22

The focus of the new payment models—on conditions that more often affect those groups who suffer from health and health care disparities—presents an unprecedented moment in time to make real and measurable progress in closing these gaps. Linking explicit ACA disparities provisions with incentives around value-based health care would encourage providers, researchers, and health care administrators to hasten the development of evidence-based solutions to inequities. Successfully linking these elements will hinge, however, on creating incentives that specifically reflect the complexities of caring for historically underserved groups most adversely affected by social determinants of health. History has shown that well-intentioned policies and programs that do not directly address the challenges of improving outcomes for such populations will not necessarily benefit all equally, and health inequities will persist and, in fact, may increase.23–25

There is no time to lose: Efforts to align the shifts in our health care landscape toward equity are more likely to be successful if they are made before policies and programs are fully implemented and the opportunity to exert influence has passed.

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Aligning ACA Disparities Provisions and Value-Based Health Care

Below, we offer a few examples of how disparities provisions and value-based health care could be aligned, weaving together the principles of payment reform, health information technology (HIT), community health needs assessments (CHNAs), and expanding health equity research.

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Payment reform

The ACA-proposed policies for payment reform are compelling targets for incorporating metrics to counter socioeconomic and racial/ethnic inequities in health. Integrating incentives to minimize or eradicate health care inequities alongside the currently proposed health outcome and patient satisfaction targets can increase focus on developing solutions for those avoidable gaps in care. To be effective, any metrics used to reduce disparities must be contextually relevant and sensitive enough to detect and monitor population health differences, and must integrate the perspectives of hospital executives and frontline practitioners who provide care for those groups most affected.26,27

As a case in point, Massachusetts was one of the first states to incorporate health disparities metrics into pay-for-performance schemes. The chosen metrics were predicated on the assumptions that racial and ethnic disparities in hospital-delivered health care did exist and that every hospital’s patient population was diverse enough to measure these inequities. Neither assumption was supported.28 In addition, the Massachusetts hospital community found that incorporating the disparities measures was burdensome, given other reporting requirements, and that the emphasis on compliance with top-down metrics left little time for meaningful structural changes that could potentially narrow health care gaps revealed in their site-level analyses.28

Thus, in designing future inequity-related incentive programs, pay-for-performance efforts should target quality improvements that are relevant to the patient population served by targeted hospitals. These efforts must also engage the hospitals and care providers in metrics creation and not be too costly or burdensome to implement. Finally, incentives must be thoughtfully constructed to avoid penalizing safety-net hospitals or other institutions that are most likely to care for populations affected by disparities and affected by social determinants of health.

Fortunately, programs and policies that support HIT, CHNAs, and patient- and community-centered research are either already in place or poised to be implemented that could, if strengthened and focused, leverage ACA-driven payment reform in a way that is cost-effective, respectful of local contexts and needs, and nonpunitive to hospitals and providers who care for the sickest among us.

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Health information technology

HIT and electronic health records (EHRs) are recognized as invaluable tools in the search for solutions to health care disparities.29–31 To jump-start this process, the American Recovery and Reinvestment Act of 2009 established a federal program for adopting EHRs and for defining federal standards, including data for patient demographic characteristics. However, the current slate of milestones (also known as meaningful use) for the EHR Incentive Program does not tap the full potential of EHRs’ disparities-reducing power. To comply with the sole objective explicitly related to health disparities, eligible providers or practices need only “generate at least one report listing patients … with a specific condition.”32 Stratification and subgroup analyses are neither specified nor required.33,34

The ACA has set additional standards for the collection of data on race, ethnicity, sex, primary language, and disability status that could be used to stratify patient lists and quality/outcome data to identify health care inequities. Do hospital data reveal gender differences in blood pressure control, for example? Or differences by zip code in readmissions for congestive heart failure? Such subgroup analyses could be internally reported to focus quality improvement efforts on pertinent inequities,35 or publicly reported to motivate physicians, administrators, and other stakeholders to reduce or eliminate health care inequities and to reward the maintenance of equity.

For publicly reported disparity data, providers and hospital groups could serve as their own benchmarks in terms of local health care gaps and could be rewarded in future years for providing data showing that such gaps have closed. This self-benchmarking would help ensure that the targeted disparities are contextually relevant and that progress toward equity is tied to their sites and not to a national, one-size-fits-all criterion. That said, some general measurement standardization will be crucial. The National Quality Forum (NQF) and the Disparities Solutions Center have written extensively about how disparities-sensitive and -specific measures could be developed, implemented, and analyzed.36,37 Because meaningful use standards already require the collection of demographic data and the generation of patient lists, any additional financial burden for data collection would be minimal or nonexistent.

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Community health needs assessments

Currently, CMS’s fee-for-service physician and hospital reimbursement schedule includes a geographic adjustment that accounts for the varying cost of rent and staff compensation. This geographic adjustment does not, however, consider the difficulties associated with providing and receiving care in environments that give rise to inherent barriers to good health. How do a team of health professionals and a patient craft a plan to control diabetes in a town with no access to fresh fruits and vegetables? How easily can people with asthma avoid emergency department visits in a neighborhood plagued by air pollution? Any payment or reward scheme that includes health equity metrics must take such questions into account so that expectations of change are context-specific. Yet, despite growing evidence that social factors affect readmission and mortality rates for conditions like pneumonia and heart failure,38 there is no current effort to adjust for such factors in incentive structures.

Under the ACA, 501(c)(3), nonprofit hospitals are newly required to undertake a CHNA every three years in order to maintain tax-exempt status. By design, the CHNA process is collaborative and involves input from public health experts and community members served by the hospital—specifically, “members of medically underserved, low-income, and minority populations.”39 Subsequent to the assessment, each organization must submit a plan and implementation strategy that delineates the needs it will address and those it will not.

Although the Internal Revenue Service has only recently proposed draft regulations, the ACA’s CHNA requirement went into effect for taxable years beginning after March 23, 2012. It is possible to envision how the local data collected regarding the social determinants that affect a hospital’s patient population could contribute to evidence-based adjustments for hospital incentives and reimbursements.

First, for physician reimbursement, a new composite variable could be created that incorporates aspects of the local environment—food availability, transportation, quality of schools, unemployment levels, and so forth—into a community-level adjustment. This risk adjustment, when incorporated into a broader patient risk adjustment or stratification methodology, could serve to further level the field in terms of the “cost” of providing health care to a community; some areas require more of an investment.

Second, hospital-based pay-for-performance incentives could be adjusted for the relative difficulty in achieving inequity-reduction goals. The same gain in different communities would yield different rewards based on a social-determinants-of-health metric. Similarly, a smaller gain in a particularly disadvantaged community may be “worth” as much as a larger gain in a more affluent one. Both of these adjustments would make it less likely that safety-net providers would be penalized for the geographic characteristics of their patient populations. Community-level data derived from scientifically rigorous CHNAs and other local health outcomes data could provide researchers the requisite information to craft such adjustments.

Furthermore, whereas monetary penalties accompany failure to complete a CHNA, the federal government has not announced incentives for successfully addressing the identified social determinants and local needs within the three-year period between assessments. Incentives tied to CHNA-based improvements would foster meaningful collaborations, ease the financial burden on nonprofit hospitals for carrying out these assessments, and yield partnerships and research opportunities to identify downstream solutions to improve the conditions in which people are born, live, work, and age.

Finally, whereas all hospitals are subject to the payment reforms moving us toward value-based health care and could therefore potentially benefit from adjustments derived from CHNA and other data sources, for-profit hospitals are currently not required to conduct a CHNA. If we are truly committed to achieving health equity, all institutions, regardless of tax-exempt status, should develop plans to address salient social determinants of health based on a current understanding of their communities’ needs and assets.

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Expanding health equity research

The proposals presented here are ambitious and must be supported by a concomitant focus on solutions-oriented health equity research that aims to develop appropriate outcome metrics and craft process evaluation protocols that elucidate the mechanisms through which interventions succeed or fail. While researchers should continue to conduct descriptive studies documenting inequities—indeed, measuring disparities is how we judge progress toward equity—the breadth and depth of health inequities demand that we move beyond describing and documenting to rapidly building an evidence base of what works to close the gaps.40

The ACA presents a major step forward in the national commitment to building this evidence base by allocating Medicare and Medicaid trust fund dollars to the creation of the Patient Centered Outcomes Research Institute (PCORI). PCORI’s mission is to build a patient- and population-centered evidence base of what works best, for whom, and why, and health disparities is one of their priority funding areas. Tying physician and hospital payments to novel, local data-adjusted health equity metrics and to a documented narrowing of local health and health care inequities would require input from various research sectors that could draw on this critical new funding stream.

Health systems researchers and clinical care teams would necessarily play an integral role in establishing and monitoring the EHR-based measurement of local health inequities and in setting reasonable, context-sensitive improvement goals.41 Practitioners of community-based participatory research (CBPR), along with community partners and program evaluators, would be instrumental in creating meaningful CHNAs that could be used to inform any new adjustment on the basis of social determinants of health. Health economists and epidemiologists would need to work together to translate these results into new metrics for fee and incentive schedules. Finally, implementation scientists and quality improvement officers would be essential if we are to translate effective inequity-narrowing policies and programs from the community or system where they originate into other contexts.

The ACA provides other research building blocks as well. The legislation elevated the former National Center on Minority Health and Health Disparities (NCMHD) to a full-fledged institute (the National Institute on Minority Health and Health Disparities [NIMHD]) within the National Institutes of Health. The NIMHD supports three funding streams that hold great promise for forging successful research collaborations: its Center of Excellence program, its Transdisciplinary Collaborative Centers for Health Disparities Research, and its CBPR awards. Additionally, the ACA created the Community Transformation Grants, funded by the Centers for Disease Prevention and Control, that seek to improve health and reduce disparities by building the capacity of communities and states to analyze data, forge relevant partnerships, and develop plans with related health impact measures. All of these funding streams could be leveraged to weave together health equity research, payment reform, and community-based initiatives. PCORI’s requirement that investigators plan in advance how best to disseminate findings to all stakeholders stands out in its acknowledgment that community- and patient engagement are essential to broaden the impact of this research. Finally, given the different state-level approaches to Medicaid expansion and health insurance exchanges, research funding should be applied to studying the impact of these decisions on population health and health equity.

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Challenges and Opportunities

Establishing practices to affect structural, system-based inequities will not be easy. We have outlined why incentives associated with payment reform, meaningful use of EHRs, and CHNAs require appropriate metrics to measure disparities. Thankfully, guidance on the measurement of disparities exists,36,42 and we applaud the NQF for recently endorsing 12 disparities-related quality metrics that focus on processes and intermediate outcomes like language services and cultural competency.43 Now is the time to build on those metrics and focus on health outcomes. We are encouraged by the NQF’s current efforts to review their full portfolio of endorsed performance measures to identify those that are most disparity-sensitive based on disease prevalence, documented inequity, and demonstrated impact on the health of a community. Once such measures are endorsed, it will be paramount to support institutions as they work to employ them and implement evidence-based solutions.

Also, developing the list of health disparities that could qualify for reimbursement incentives will require a systematic determination that takes into account the complexities of providing care to vulnerable populations and then makes the list relevant for various contexts of care. One step forward would be for researchers and advocates to present further evidence to persuade CMS to reverse its recent decision against adjusting for socioeconomic status and dual eligibility in its readmissions incentives.

The road to health equity has to engage every sector of society to fully address social determinants of health and minimize their impact on disparities. Our suggestions focus almost exclusively on the integral role the health care system can play in reducing or eliminating health and health care inequities. They are not a collective magic solution, but they are a start. The ACA and other recent legislation have sown the seeds to reverse the momentum: Data collection standards, meaningful use, payment reform, novel funding opportunities, and community-focused assessments are all in place. Now is the time to accelerate the pace at which these components grow together so that policy makers, care providers, and researchers can use this historic moment to demonstrate that equity is a value in health.

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1. Centers for Disease Control and Prevention. CDC Health Disparities and Inequalities Report—United States, 2011. 2011 Atlanta, Ga U.S. Department of Health and Human Services
2. Agency for Healthcare Research and Quality. National Healthcare Disparities Report 2012. 2013 Rockville, Md U.S. Department of Health and Human Services
3. Olshansky SJ, Antonucci T, Berkman L, et al Differences in life expectancy due to race and educational differences are widening, and many may not catch up. Health Aff (Millwood). 2012;31:1803–1813
4. Commission on Social Determinants of Health. 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. 2008 Geneva, Switzerland World Health Organization
5. H.R. 2954, Health Equity and Accountability Act of 2011.
6. Institute of Medicine. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. 2003 Washington, DC National Academies Press
7. S. 2474. Health Equity and Accountability Act of 2012.
8. Voelker R. Decades of work to reduce disparities in health care produce limited success. JAMA. 2008;299:1411–1413
9. Mead H, Cartwright-Smith L, Jones K, Ramos C, Woods K, Siegel B Racial and Ethnic Disparities in U.S. Health Care: A Chartbook. 2008 New York, NY Commonwealth Fund
10. Quinones AR, O’Neil M, Saha S, Freeman M, Henry SR, Kansagra D Interventions to Improve Minority Health Care and Reduce Racial and Ethnic Disparities. 2011 Washington, DC Department of Veterans Affairs:VA-ESP project 05-225
11. National Association of Community Health Centers. Access Denied: A Look Into America’s Medically Disenfranchised. 2007 Washington, DC National Association of Community Health Centers
12. Chin MH, Clarke AR, Nocon RS, et al A roadmap and best practices for organizations to reduce racial and ethnic disparities in health care. J Gen Intern Med. 2012;27:992–1000
13. Expert Panel on Cultural Competence Education for Students in Medicine and Public Health. Cultural Competence Education for Students in Medicine and Public Health: Report of an Expert Panel. 2012 Washington, DC Association of American Medical Colleges and Association of Schools of Public Health
14. American Hospital Association and Institute for Diversity in Health Management. Diversity and Disparities: A Benchmark Study of U.S. Hospitals. 2012 Chicago, Ill American Hospital Association
15. Office of Minority Health. National Standards for Culturally and Linguistically Appropriate Services (CLAS) in Health and Health Care. 2013 Washington, DC U.S. Department of Health and Human Services
16. Woolf SH, Braveman P. Where health disparities begin: The role of social and economic determinants—and why current policies may make matters worse. Health Aff (Millwood). 2011;30:1852–1859
17. Galea S, Tracy M, Hoggatt KJ, Dimaggio C, Karpati A. Estimated deaths attributable to social factors in the United States. Am J Public Health. 2011;101:1456–1465
18. . Patient Protection and Affordable Care Act, Pub. L. No. 111–148, §2702, 124 Stat. (2010);119:318–319
19. Cartwright-Smith L, Rosenbaum S, Mehta D Disparities Reduction and Minority Health Improvement Under the ACA. 2011 Washington, DC Aligning Forces for Quality
20. Andrulis DP, Siddiqui NJ, Purtle JP, Duchon L Patient Protection and Affordable Care Act of 2010: Advancing Health Equity for Racially and Ethnically Diverse Populations. 2010 Washington, DC Joint Center for Political and Economic Studies
21. Ayanian JZ, Weissman JS, Chasan-Taber S, Epstein AM. Quality of care by race and gender for congestive heart failure and pneumonia. Med Care. 1999;37:1260–1269
22. Burton DC, Flannery B, Bennett NM, et alActive Bacterial Core Surveillance/Emerging Infections Program Network. Socioeconomic and racial/ethnic disparities in the incidence of bacteremic pneumonia among US adults. Am J Public Health. 2010;100:1904–1911
23. Link BG, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995;spec no:80–94
24. Phelan JC, Link BG, Tehranifar P. Social conditions as fundamental causes of health inequalities: Theory, evidence, and policy implications. J Health Soc Behav. 2010;51(suppl):S28–S40
25. Weinick RM, Hasnain-Wynia R. Quality improvement efforts under health reform: How to ensure that they help reduce disparities—not increase them. Health Aff (Millwood). 2011;30:1837–1843
26. Weinick RM, Chien AT, Rosenthal MB, Bristol SJ, Salamon J. Hospital executives’ perspectives on pay-for-performance and racial/ethnic disparities in care. Med Care Res Rev. 2010;67:574–589
27. Thorlby R, Jorgensen S, Ayanian JZ, Sequist TD. Clinicians’ views of an intervention to reduce racial disparities in diabetes outcomes. J Natl Med Assoc. 2011;103:968–977
28. Blustein J, Weissman JS, Ryan AM, Doran T, Hasnain-Wynia R. Analysis raises questions on whether pay-for-performance in Medicaid can efficiently reduce racial and ethnic disparities. Health Aff (Millwood). 2011;30:1165–1175
29. NORC. Understanding the impact of health IT in underserved communities and those with health disparities. 2013 Washington, DC Office of the National Coordinator for Health Information Technology
30. President’s Council of Advisors on Science and Technology. Realizing the Full Potential of Health Information Technology to Improve Healthcare for Americans: The Path Forward. 2010 Washington, DC Executive Office of the President
31. Gibbons MC, Casale CR. Reducing disparities in health care quality: The role of health IT in underresourced settings. Med Care Res Rev. 2010;67(5 suppl):155S–162S
32. . Step 5: Achieve Meaningful Use; Menu Measure 3; Patient Lists. Accessed July 11, 2013
33. Centers for Medicare and Medicaid Services. . Medicare and Medicaid programs; electronic health record incentive program—stage 2. Final rule. Fed Regist. 2012;77:53967–54162
34. Centers for Medicare and Medicaid Services. . Medicare and Medicaid Programs; electronic health record incentive program; final rule. Fed Regist. 2010;75:44313–44588
35. Chin MH, Chien AT. Reducing racial and ethnic disparities in health care: An integral part of quality improvement scholarship. Qual Saf Health Care. 2006;15:79–80
36. Weissman JS, Betancourt JR, Green AR, et al Commissioned Paper: Healthcare Disparities Measurement. 2011 Washington, DC National Quality Forum
37. National Quality Forum. National Voluntary Consensus Standards for Ambulatory Care—Measuring Healthcare Disparities. 2008 Washington, DC National Quality Forum
38. Calvillo-King L, Arnold D, Eubank KJ, et al Impact of social factors on risk of readmission or mortality in pneumonia and heart failure: Systematic review. J Gen Intern Med. 2013;28:269–282
39. Internal Revenue Service. . Notice and Request for Comments Regarding the Community Health Needs Assessment for Tax-Exempt Hospitals. 2011 Accessed July 11, 2013
40. Kilbourne AM, Switzer G, Hyman K, Crowley-Matoka M, Fine MJ. Advancing health disparities research within the health care system: A conceptual framework. Am J Public Health. 2006;96:2113–2121
41. Hasnain-Wynia R, Beal AC. The path to equitable health care. Health Serv Res. 2012;47:1411–1417
42. Braveman P. Health disparities and health equity: Concepts and measurement. Annu Rev Public Health. 2006;27:167–194
43. National Quality Forum. Endorsement Summary: Healthcare Disparities and Cultural Competency Measures. 2012 Washington, DC National Quality Forum
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