You are viewing the site in preview mode

Skip to main content

Barriers to health equity in the United States of America: can they be overcome?

Abstract

Health equity—defined by the Centers for Disease Control and Prevention as " the state in which everyone has a fair and just opportunity to attain their highest level of health—” represents one of the most critical issues facing modern societies. While seemingly an increasing focus of policymakers in recent years, this concept is hardly a novel one. In 1948, the inaugural Constitution of the newly founded World Health Organization clearly stated that “the enjoyment of the highest attainable standard of health is one of the fundamental rights of every human being without distinction of race, religion, political belief, economic or social condition.” Yet nearly a century later, it is arguable how much progress society has made in achieving health equity, particularly in the United States of America where numerous factors at both the level of the individual and population contribute to significant complexity with respect to healthcare access and delivery. The purpose of this review is to thus outline the barriers to health equity so that thoughtful discourse can be promoted to create a more even playing field for the lives of the disadvantaged and underserved in the future.

Introduction

According to the Centers for Disease Control and Prevention, health equity is “the state in which everyone has a fair and just opportunity to attain their highest level of health [1].” While seemingly an increasing focus of policymakers in recent years, this concept is hardly a novel one. In 1948, the inaugural Constitution of the newly founded World Health Organization clearly stated that “the enjoyment of the highest attainable standard of health is one of the fundamental rights of every human being without distinction of race, religion, political belief, economic or social condition [2].” Yet nearly a century later, it is arguable how much progress society has made in achieving health equity, particularly in the United States of America where notable imbalances exist across all levels of the population. Whether the issue is access, quality of care, or health outcomes, significant disparities continue to persist which underlie how many individuals view the healthcare system as a whole. From a practical standpoint, health equity is central to quality of care, profoundly affects the patient experience, and influence clinical outcomes across all diseases. However, impediments to health equity continue to be pervasive and need to be addressed so that society can move forward as a cohesive entity. The purpose of this review is to thus outline the barriers to health equity so that thoughtful discourse can be promoted to create a more even playing field for the lives of the disadvantaged and underserved in the future.

Body

The barriers to health equity are multi-faceted, broad, and commonly overlapping (Fig. 1). While generally cited obstacles include those related to insurance coverage, affordability, social determinants, technical literacy and/or provider availability, among others, inequitable access to healthcare is a one of the most fundamentally pressing issues facing society. After all, how can citizens take a proactive approach to their own health if they feel rebuffed by a healthcare system they perceive as uninviting? Given the sheer volume of stakeholders operating in the healthcare marketplace, competing interests often mean that access, at least as defined by patients, is not prioritized or uneven across the population. The reasons underlying these inequities relate to an abundance of individual and systematic factors which will subsequently be discussed.

Fig. 1
figure 1

Barriers to access in healthcare

The question of who pays for healthcare can certainly influence health equity. Although the gains made with respect to the Affordable Care Act (ACA) to increase coverage have been well documented, a significant proportion of the public lack health insurance [3]. For others, just having insurance does not necessarily mean that access is guaranteed. For instance, studies have shown that prior authorization, which negatively impacts the ability of patients to see specialists, obtain diagnostic studies, acquire medications, and/or even start treatment can lead to major delays in care [4,5,6,7]. According to survey data of over 1,000 practicing physicians from the American Medical Association, more than half of respondents reported that prior authorization has “impacted patient job performance [7].” With respect to access, a staggering 94% of physicians stated that “delays in care” resulted from prior authorization. As concerningly, more than three-quarter of the physicians reported that “treatment abandonment” occurred because of prior authorization; and more than one-third reported that prior authorization led to a serious adverse event including hospitalization, disability, and/or death for a patient while waiting for care. Moreover, the negative effects of prior authorization on access can have a disproportionate impact on predominantly poor or disadvantaged communities [8,9,10]. For instance, hospitals and providers in underserved communities tend to operate on tight financial margins and have more limited resources, thus struggle with dedicating time to the laborious prior authorization process. One analysis found that prior authorization denials, in fact, were much more prevalent for underrepresented minorities, for those with limited education, and for those with low-income status [8]. Another study showed that minorities were less likely to receive the prescribed medication for diabetes due to prior authorization [9].

Even after their care has been approved by insurance, high out-of-pocket patient costs can pose another set of difficulties for many patients. When patients cannot afford medical care or find themselves choosing between medical care and paying for other basic obligations such as rent, mortgage, and/or food, they often go without healthcare. Indeed, the study of “financial toxicity” has gained increased attention given the disproportionately high amounts that many patients pay for healthcare compared to other services [11]. Data from West Health and Gallup poll found that 29% of adults reported putting off medical treatment because of out-of-pocket costs between 2001 and 2021 with low-income groups significantly more likely to skip or delay healthcare for a serious medical condition [12]. According to 2023 data from the Commonwealth Fund, the United States has the starkest income-based health disparities compared to other similarly developed nations [13]. Indeed, 46% and 27% of American adults skipped have skipped a medical visit, test, treatment, follow-up, or prescription fill within the last year solely because of cost among low-income and high-income earners, respectively.

Using data from 7.3 million health system visits, admissions, or prescriptions captured from various national registries between 2002 and 2016, Dieleman et al. showed that health care spending significantly varied by race and ethnicity across different types of care even after adjusting for age and health conditions [14]. Notably, White individuals were estimated to spend 15% more on ambulatory care than the rest of the population where Black individuals were estimated to spend and receive 26% less care. A more recent cross-sectional study of nearly 2 million Medicaid enrollees similarly showed that Black individuals generated lower spending and used fewer services, including primary care and recommended care for acute and chronic conditions than individuals from other backgrounds [15]. Although the reasons underlying these differences in healthcare utilization are likely multi-faceted, there is no question that cost still plays a role. For instance, recent data from the Commonwealth Fund continues to show that the percentage of Black individuals who avoided care in 2021 specifically because of cost was 11% and 18% in states with and without Medicaid expansion, respectively; for Latinos, the corresponding proportions were 16% and 23%, respectively [16]. Lastly, the implications of delaying and/or foregoing necessary care extend beyond worsening of disease. From a psychosocial standpoint, the inability to obtain timely care can lead to distress, anxiety, and further distrust of a health system that is too often criticized for being unfriendly. Additionally, delayed care can, quite paradoxically, lead to additional expense as complications from disease progression frequently necessitate more costly treatment.

The influence of societal factors in creating inequities in healthcare has also been well established [17,18,19]. Social determinants of health (Fig. 2) including factors related to income, education, employment, housing, transportation, and geography, among others, have been shown to contribute significantly to health disparities and moreover, are often pervasive and deeply embedded across generations. For instance, studies have conclusively demonstrated that those who are born into poverty are more likely to stay in poverty [20]. Adler-Jackson et al. recently analyzed data from the United States Census and Health and Retirement Study to show significant associations between low socioeconomic status, Black race, and cognitive decline [20]. Indeed, the influence of economic stability, including an individual’s income and employment, on health has been consistently demonstrated. Similarly, education can provide individuals with the foundation they need to earn a higher income later in life, which allows them to access high-quality healthcare. As such, people with higher education have been shown to be healthier and to live longer [21]. Raghupathi et al. recently used empirical data from the Organization for Economic Development and Cooperation and the World Bank to demonstrate that adults with higher educational attainment have better health and lifespans compared to their less-educated peers [22]. Notably, the investigators concluded that tertiary education, particularly, is critical in influencing infant mortality, life expectancy, child vaccination, and enrollment rates—factors which have the potential to propel future generations forward on the socioeconomic scale.

Fig. 2
figure 2

Social determinants of health

Relatedly, a less-frequently mentioned determinant of health is the sense of control one has over life and work. Indeed, studies have increasingly shown that subjective social status—defined as how one perceives their position on the social hierarchy in relation to others— is an important predictor of health that affects the ability to fully participate in society and powerfully contributes to inequities across the population [23,24,25,26]. While higher social status typically confers a greater sense of control over one’s life and work, thus leading to better health; lower social status can engender feelings of disempowerment and humiliation, which can wear heavily on health. It is thus not surprising that the correlation between subjective social status and life expectancy is becoming increasingly recognized. In fact, arguments have been made that low social standing is seen not only as a condition of material deprivation but also as an indicator of an individual’s capability to control life and fully participate in society leading to psychosocial disadvantage and marginalization [23]. Demakakos et al. used Cox regression to model the associations between subjective social standing and and mortality in a sample of 9,972 adults from the English Longitudinal Study of Ageing over a 10-year period and demonstrated a strong association between social standing with all-cause, cardiovascular, cancer and other mortality [24]. In a subsequent analysis, the investigators showed a correlation between subjective social status and poorer outcomes using numerous health measures including self-rated health, long-standing illness, depression, hypertension, diabetes, central obesity, high-density lipoprotein cholesterol, triglycerides, fibrinogen, and C-reactive protein. Even after controlling for the potential influence of wealth, education, and occupational class, the effect of social standing was still evident, thereby suggesting that this classification influences health in a manner that is independent of financial means, resource availability and/or socioeconomic status. Similarly, Galvan et al. showed that economic circumstances and social status are distinct constructs that have distinct associations with health outcomes and well-being [26].

Along these lines, the importance of geography cannot be understated as higher-quality schools tend to be in more affluent neighborhoods. A person’s immediate surroundings also dictate lifestyle factors such as access to healthy foods, opportunities for physical activity, safe transportation, and other conditions such as water and air quality [27]. All of these variables can have a profound impact on health. For instance, Jones et al. conducted an analysis of 423 soil samples collected across various urban areas and showed that concentrations for toxic metals such as arsenic, cadmium, and lead were significantly elevated in low-income and predominantly minority communities [28]. The concept of “food deserts”— geographical regions, typically low-income in nature, where individuals lack access to high-quality, nutritious foods and/or grocery stores has been increasingly associated with health inequity [29]. Along similar lines, “physical activity deserts” have also been identified as neighborhoods where environmental circumstances preclude access to green spaces, parks, and recreational activities, all of which can promote healthy lifestyles [30].

People living in rural areas are also at risk for inequities in care due to specific obstacles related to the inability to travel into city centers or to take time off [31]. Patients have cited transportation and work-related concerns as a key limit on the ability to access preventive care and treatment. Indeed, statistics from the American Hospital Association estimate that approximately 3.5 million patients go without care because they cannot access transportation to their providers [32]. While shortages in healthcare services affect outcomes for individuals living in certain geographic neighborhoods, the root cause of health disparities are more deeply rooted than in just the lack of physical facilities.

The role of racism in contributing to health inequities must also be recognized. Stigma and bias have been well documented across the medical community, including discrimination based on race, immigration status, sex, gender, and sexual orientation. A position paper from the American College of Physicians (ACP) outlined how cultural factors hamper access to care and affect patients’ willingness and ability to seek specialized support such as mental healthcare services or pharmacologic therapy [33]. The authors highlighted the profound need for ending discrimination based on personal characteristics and ameliorating social determinants of health. More specifically, the ACP underscored the importance of increased efforts to address urgent public health threats, including injuries and deaths from firearms; environmental hazards; climate change; maternal mortality; substance use disorders; and the health risks associated with nicotine, tobacco use, and electronic nicotine delivery systems.

The relative lack of racial diversity in the healthcare workforce can also create a less than inviting environment for patients of different cultural backgrounds. This is particularly problematic given that nearly half of healthcare workers in the United States have witnessed racial discrimination against patients and say this is a crisis or major problem, according to 2024 survey by the Commonwealth Fund [34]. With respect to the workforce, nearly 6 in 10 Black healthcare workers and 4 in 10 Latino, Asian American and Pacific Islander workers say they have been discriminated against because of their race or ethnicity. According to findings from another large, nationally represented survey published by the Kaiser Family Foundation in 2023, the percentage of minorities who personally experienced discrimination in healthcare was frequent. In total, approximately 60% of Black adults, half of Native American and Latino adults, and 40% of Asian adults admitted to preparing for possible insults from providers or staff and/or felt they must be careful about their appearance to be treated fairly during health care visits. Furthermore, the survey found that patients who experienced discrimination were more likely to have reported feelings of anxiety, loneliness, and depression.

Structural factors also can contribute to barriers to access. For instance, decades-old policies like redlining (to designate “desirable” and “undesirable” neighborhoods) have led to both racial segregation and disparities in access to resources and services, like high-quality hospitals. The implications on healthcare access have been shown to be profound [35,36,37]. As one example, the Primary Care Development Corporation demonstrated that neighborhoods that were formerly redlined had a poverty rate nearly 4 times higher than of more “desirable” census tracts, and the proportion of Black people living in these areas was 9 times higher than in those A-rated census tracts [38]. Meanwhile, the rate of uninsurance—which can directly impact access to healthcare and healthcare affordability—was much higher in formerly redlined districts, with 18% of adults in those areas saying they don’t have payer coverage compared to 6% of those living in A-rated census tracts. A recent study confirmed the dramatically higher rates of chronic health conditions such as hypertension and diabetes in neighborhoods that were considered historically underserved [39].

As importantly, implicit bias can also instill distrust in medicine and dissuade patients of color from accessing care. Given that patients from disadvantaged backgrounds have reported more negative interactions with the healthcare system and are more likely to perceive their experiences as “cold, unfriendly, and insensitive,” factors related to comfort level can drive barriers to access [40]. In these cases, patients who feel that the healthcare system only caters to the privileged might fall through the cracks due to a perceived indifference for their beliefs and unique backgrounds. For instance, medical appointments can routinely conjure up emotions of fear and despair that can be exacerbated in certain underserved communities even accounting for intergenerational trauma. These negative feelings, which can compound the fear of having to navigate a complex and highly depersonalized healthcare system has been shown to be prevalent among the underrepresented [41]. Given that 1 in 5 households in the United States speaks a language other than English at home, the influence of cultural competency in creating access problems must be acknowledged [42].

While the digitization of healthcare has empowered some people, it is important to recognize that others are at risk for being left behind. Due to the pace at which technological innovation is changing healthcare, the lack of technical literacy for many patients, particularly those on the lower end of the socioeconomic spectrum, can also hinder activities such as scheduling appointments, checking results, and/or communicating with providers— tasks that are increasingly digitized in modern healthcare [43]. Indeed, underrepresented minorities have been shown to have more difficult accessing their medical records online [44]. More recently, the term “digital redlining” was introduced to describe racialized inequities in access to technology infrastructure, including access to health care, education, employment, and social services [45]. The importance of data equity in optimizing health outcomes for all is increasingly being recognized as well. For instance, the data which is collected and used to make evidence-based decisions in healthcare needs to be free of bias. Clinical trials, for instance, often enroll patients who are not reflective of the demographics from the general population [46,47,48]. Given a plethora of studies showing a disproportionate underrepresentation of minorities in research, the potential implications with respect to health equity cannot be understated.

While the barriers to health equity are numerous, efforts to address these are increasingly being proposed. For instance, there are a growing number of initiatives to address social determinants to promote health equity [49,50,51]. Central to these efforts is the resource deprivation theory which contends that the longstanding deprivation of resources experienced by underserved and/or vulnerable groups is central to health inequity [52]. While this theory advocates for the improved allocation of resources to address deficiencies, it must be recognized that resources are not restricted to material possessions, but include education, employment, housing, neighborhood safety, and psychological well-being, among others, which can be unevenly distributed to great degrees across society. In this sense, health initiatives that do not account for deeply rooted structural inequalities that the underserved face may do little to reduce chronically embedded disparity gaps. Regardless, the issue of how to prioritize resources to have the most meaningful impact on addressing health disparities remains uncertain.

Models under the Center for Medicare and Medicaid delivery system are increasingly addressing social needs and implementing community-based preventive programs [53]. Recently, numerous states required Medicaid managed care plans to screen for and/or provide referrals for social needs, and a recent survey found that nearly all responding plans reported activities to address social determinants of health [54]. To improve cultural literacy, the use of professional medical interpretation services and multilingual patient education materials can improve cultural responsiveness in healthcare [55]. With regard to access, educational initiatives are being explored to help patients understand the options for care delivery and the varying caliber of services available at different care facilities [56]. To reduce implicit bias in healthcare, programs to train staff in cultural competency and to create policies that are inclusive and sensitive to the needs of all have the potential to address longstanding disparities faced by disadvantaged groups [57]. Concerted efforts to create a healthcare workforce that is more reflective culturally of the general population are also being prioritized [58]. Ultimately, improving health equity will be critically dependent on promoting inclusivity at all levels such that a collective culture is created across society ensuring that nobody is left behind with respect to their ability to seek out the highest attainable level of health.

Conclusion

The barriers to health equity are significant but not insurmountable. Successfully making progress will require a thoughtful, evidence-based approach with steady leadership and sustained engagement from a myriad of stakeholders with the goal of ultimately promoting high-quality care for all members of society. While a profound challenge, the journey toward bridging the many gaps is just beginning. Further research should focus on understanding the interaction among the many barriers to equity discussed and on identifying the areas that should be prioritized so that innovative solutions can be constructed. The need to develop and leverage partnerships between community-based organizations and the healthcare industry is also obvious. Indeed, how society chooses to define health equity in an ever-evolving landscape represents one of the foremost issues of the future.

Data availability

No datasets were generated or analysed during the current study.

References

  1. Centers for Disease Control and Prevention. What is Health Equity? https://www.cdc.gov/nchhstp/healthequity/index.html. Accessed March 1, 2024.

  2. World Health Organization. Constitution of the World Health Organization. https://apps.who.int/gb/bd/pdf_files/BD_49th-en.pdf#page=6. Accessed March 1, 2024.

  3. Glied S, Jackson A. The future of the Affordable Care Act and insurance coverage. Am J Public Health. 2017;107:538–40.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Miller AP, Shor R, Waites T, et al. Prior authorization reform for better patient care. J Am Coll Cardiol. 2018;71:1937–9.

    Article  PubMed  Google Scholar 

  5. Psotka MA, Singletary EA, Bleser WK, et al. Streamling and reimaging prior authorization under value-based contracts: a call to action from the value in healthcare initiative’s prior authorization learning collaborative. Circulation: Qual Outcomes. 2020;13:e006564.

    Google Scholar 

  6. Salzbrenner SG, McAdam-Marx C, Lydiatt M, et al. Perceptions of prior authorization by use of electronic prior authorization software: a survey of providers in the United States. J Manag Care Spec Pharm. 2022;28:1121–8.

    PubMed  Google Scholar 

  7. American Medical Association. 2022 AMA Prior Authorization Physician Survey. https://www.ama-assn.org/system/files/prior-authorization-survey.pdf. Accessed January 1, 2024.

  8. Marcus BS, Bansal N, Saef J, et al. Burden with no benefit: prior authorization in congenital cardiology. Pediatr Cardiol. 2024;45:100–6.

    Article  PubMed  Google Scholar 

  9. Salter E, Louks A, Pham C, et al. Prior authorization for diabetes medications: clinical outcomes and health disparities. Diabetes Metab Syndr. 2024;18:102954.

    Article  CAS  PubMed  Google Scholar 

  10. Rao V, Dharia I, Gibilisco J, et al. Delay in prior authorization of biologic therapy: another possible cause of healthcare disparity in IBD patients. J Natl Med Assoc. 2024;116:13–5.

    PubMed  Google Scholar 

  11. Sharma P, Rajagopal MR, Soto-Perez-de-Celis E, et al. Local sociocultural practice specific financial toxicity assessment tool for cancer: an emerging need. JCO Glob Oncol. 2024;10:e2400039.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Gallup, The U.S. Healthcare Cost Crisis. https://news.gallup.com/poll/248081/westhealth-gallup-us-healthcare-cost-crisis.aspx. Accessed January 1, 2024.

  13. Commonwealth Fund. Commonwealth Fund 2023 International Health Policy Survey. https://www.commonwealthfund.org/publications/surveys/2023/nov/cost-not-getting-care-income-disparities-affordability-health. Accessed January 1, 2024.

  14. Dieleman JL, Chen C, Crosby SW, et al. US health care spending by race and ethnicity, 2002–2016. JAMA. 2021;326:649–59.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Wallace J, Lollo A, Duchowny KA, et al. Disparities in health care spending and utilization among black and white Medicaid enrollees. JAMA Health Forum. 2022;10:e221398.

    Article  Google Scholar 

  16. Commonwealth Fund. Inequities in Health Insurance Coverage and Access for Black and Hispanic Adults: The Impact of Medicaid Expansion and the Pandemic. https://www.commonwealthfund.org/publications/issue-briefs/2023/mar/inequities-coverage-access-black-hispanic-adults. Accessed March 1, 2024.

  17. Bridson L, Robinson E, Putra IGNE. Financial-related discrimination and socioeconomic inequalities in psychological well being related measures: a longitudinal study. BMC Public Health. 2024;24:1008.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Grewal A, Hepburn KJ, Lear SA, et al. The impact of housing prices on residents’ health: a systematic review. BMC Public Health. 2024;24:931.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Wreford A, Birt L, Whitty JA, et al. Cost and economic evidence for asset-based approaches to health improvement and their evaluation methods: a systematic review. BMC Public Health. 2024;24:814.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Verra Se, Peolman MP, Mudd AL, et al. Trapped in vicious cycles: unraveling the health experiences and needs of adults living with socioeconomic insecurity. Arch Public Health. 2024;82:51.

    Article  Google Scholar 

  21. Hummer RA, Hernandez EM. The effect of educational attainment on adult mortality in the United States. Popul Bull. 2013;68:1–16.

    PubMed  PubMed Central  Google Scholar 

  22. Raghupathi V, Raghupathi W. The influence of education on health: an empirical assessment of OECD countries for the period 1995–2015. Arch Public Health. 2020;78:20.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Marmot M. The Status Syndrome: how Social Standing affects our health and longevity. Owl Books; 2005.

  24. Demakakos P, Biddulph JP, de Oliveira C, et al. Subjective social status and mortality: the English longitudinal study of ageing. Eur J Epidemiol. 2018;33:729–39.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Demakakos P, Nazroo J, Breeze E, et al. Socioeconomic status and health: the role of subjective social status. Soc Sci Med. 2008;67:330–40.

    Article  PubMed  Google Scholar 

  26. Galvan MJ, Payne BK, Hannay J, et al. What does the MacArthur Scale of Subjective Social Status measure? Separating economic circumstances and social status to predict health. Ann Behav Med. 2023;57:929–41.

    Article  PubMed  Google Scholar 

  27. Riley T, Schleimer JP, Jahn JL. Organized abandonment under racial capitalism: measuring accountable actors of structural racism for public health research and action. Soc Sc Med. 2024;343:116576.

    Article  Google Scholar 

  28. Jones DH, Yu X, Guo Q, et al. Racial disparities in the heavy metal contamination of urban soil in the Southeastern United States. Int J Environ Res Public Health. 2022;19:1105.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Karpyn AE, Riser D, Tracy T, et al. The changing landscape of food deserts. UNSCN Nutr. 2019;44:46–53.

    PubMed  PubMed Central  Google Scholar 

  30. Pate RR, Dowda M, Saunders RP, et al. Operationalizing and testing the concept of a physical activity desert. J Phys Act Health. 2021;18:533–40.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Douthit N, Kiu S, Dwolatzky T, et al. Exposing some important barriers to health care access in the rural USA. Public Health. 2015;129:611–20.

    Article  CAS  PubMed  Google Scholar 

  32. American Hospital Association. AHA/HRET Guides. http://www.hpoe.org/resources/ahahret-guides/3078. Accessed January 1, 2024.

  33. Butkus R, Rapp K, Cooney TG, et al. Barriers to care and addressing social determinants of health. Ann Intern Med. 2020;172:S50S59.

    Article  Google Scholar 

  34. Commonwealth Fund. Revealing Disparities: Health Care Workers’ Observations of Discrimination Against Patients. https://www.commonwealthfund.org/publications/issue-briefs/2024/feb/revealing-disparities-health-care-workers-observations. Accessed January 1, 2024.

  35. Bailey Z, Feldman JM, Bassett MT. How structural racism works— racist policies as a root cause of U.S. racial health inequities. N Engl J Med. 2021;384:768–73.

    Article  PubMed  Google Scholar 

  36. Maliniak ML, Moubadder L, Rash R, et al. Census tracts are not neighborhoods: addressing spatial misalignment in studies examining the impact of historical redlining on present-day health outcomes. Epidemiology. 2023;34:817–26.

    Article  PubMed  Google Scholar 

  37. Richardson AS, Dubowitz T, Beyer KM, et al. Associations of historical redlining with BMI and waist circumference in coronary artery risk development in young adults. AJPM Focus. 2024;3:100209.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Primary Care Development Corporation. New Findings: Historic Redlining Drives Health Disparities for New Yorkers. https://www.pcdc.org/news/new-findings-historic-redlining-drives-health-disparities-for-new-yorkers/. Accessed April 1, 2024.

  39. Mohottige D, Davenport CA, Bhavsar N, et al. Residential structural racism and prevalence of chronic health conditions. JAMA Netw Open. 2023;6:e2348914.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Ahmed SM, Lemkau JP, Nealeigh N, et al. Barriers to healthcare access in a non-elderly urban poor American population. Health Soc Care. 2001;9:445–53.

    Article  CAS  Google Scholar 

  41. Soled DR, Chatterjee A, Olveczky D, et al. The case for health reparations. Front Public Health. 2021;8:664783.

    Article  Google Scholar 

  42. United States Census Bureau. What Languages do we Speak in the United States? https://www.census.gov/library/stories/2022/12/languages-we-speak-in-united-states.html. Accessed April 1, 2024.

  43. Van Kessel R, Wong BL, Clemens T, et al. Digital health literacy as a super determinant of health: more than simply the sum of its parts. Internet Interv. 2022;27:100500.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Trivedi N, Patel V. Barriers to accessing online medical records in the United States. Am J Manag Care. 2021;27:33–40.

    Article  PubMed  Google Scholar 

  45. Wang ML, Gago CM, Rodriquez K. Digital redlining- the invisible structural determinant of health. JAMA. 2024;331:1267–8.

    Article  PubMed  Google Scholar 

  46. Rutten-Jacobs L, McIver T, Reyes A, et al. Racial and ethnic diversity in global neuroscience clinical trials. Contemp Clin Trials Commun. 2024;37:101255.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Espinoza-Gutarra MR, Aliawadhi S. Bridging the gap: how do we enroll more racial-ethnic minority patients in hematological drug trials? Expert Rev Hematol. 2023;16:905–10.

    Article  CAS  PubMed  Google Scholar 

  48. Case BC, Merdler I, Collins EC, et al. Disparities in screening and enrollment of minorities into cardiovascular clinical trials. JACC Cardiovasc Interv. 2023;16:2578–80.

    Article  PubMed  Google Scholar 

  49. Lipshutz JA, Hall JE, Penman-Aguilar A, et al. Leveraging social and structural determinants of health at the Centers for Disease Control and Prevention: a systems-level opportunity to improve public health. J Public Health Manag Pract. 2022;28:E380–9.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Ochiai E, Blakey C, McGowan A. The evolution of the healthy people initiative: a look through the decades. J Public Health Manag Pract. 2021;27:S225–34.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Andermann A. Taking action on the social determinants of health in clinical practice: a framework for health professionals. CMAJ. 2016;188:E474–483.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Assari S. Unequal gain of equal resources across racial groups. Int J Health Policy Manag. 2018;7:1–9.

    Article  PubMed  Google Scholar 

  53. Kannarkat JT, Hartle JE, Parekh N. Need for payer-provider partnerships in addressing social determinants of health. J Manag Care Spec Pharm. 2021;27:10.

    PubMed Central  Google Scholar 

  54. Chisolm DJ, Brook DL, Applegate MS, et al. Social determinants of health priorities of state Medicaid programs. BMC Health Serv Res. 2019;19:167.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Spinner JR, Haynes E, Arojo RR et al. Enhancing FDA’s reach to minorities and under-represented groups through training: developing culturally competent health education materials. J Prim Care Comm Health 2021: 12.

  56. De Wit L, Fenenga C, Giammarchi C, et al. Community-based initiatives improving critical health literacy: a systematic review and meta-synthesis of qualitative evidence. BMC Public Health. 2018;18:40.

    Article  Google Scholar 

  57. Corbie G, Brandert K, Noble CC, et al. Advancing health equity through equity-centered leadership development with interprofessional healthcare teams. J Gen Intern Med. 2022;37:4120–9.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Zou Y. Improving healthcare workforce diversity. Front Health Serv. 2023;3:1082261.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

AC is the sole author and responsible for all facets of this manuscript.

Corresponding author

Correspondence to Allen M. Chen.

Ethics declarations

Competing interests

The author has no conflicts of interest or disclosures to report.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, A.M. Barriers to health equity in the United States of America: can they be overcome?. Int J Equity Health 24, 39 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12939-025-02401-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12939-025-02401-w

Keywords