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Journal of General Internal Medicine logoLink to Journal of General Internal Medicine
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. 2024 Jul 31;39(14):2875–2877. doi: 10.1007/s11606-024-08964-8

Racial Disparities in Cost and Non-Cost Barriers to Care: An Analysis of the All of Us Survey

Xiaohan Ying 1, Ruina Zhang 1, Subhanik Purkayastha 1, Nicole Ng 1, Russell Rosenblatt 2, Catherine Lucero 2, Arun Jesudian 2,✉
PMCID: PMC11535113  PMID: 39085582

INTRODUCTION

Racial and ethnic disparities in healthcare remain significant challenges in the USA.1 Considerable differences persist in barriers to care and patient outcomes.2,3 The All of Us (AoU) Research Program was established by the National Institutes of Health with the goal of recruiting one million socially diverse participants.4 We aim to further understand self-reported cost- and non-cost associated barriers to care and medications that racial and ethnic minorities face in the USA.

METHOD

This cross-sectional study analyzed survey data from AoU (2017–2022), with a focus on questions related to barriers to accessing medical care and medications. Patients of multiple races/ethnicities were not included in this study due to lack of granular information. Data analyses were conducted in the AoU Researcher Workbench using Jupyter Notebook software and Python (version 3.12.1). A two-sided P < 0.05 was considered statistically significant. Multivariable logistic regression was adjusted for a priori covariates including sex, foreign born, and income.

RESULTS

Our study included 393,043 participants, of which 20% were Black, 19% were Hispanic, 4% were Asian, and 4% reported more than one race (Table 1). Compared to White participants, Black and Hispanic participants had lower household income, less likely to be married, have private insurance, or college degrees, all p < 0.001.

Table 1.

Demographics and Characteristics of the Study Population

White % or St Dev Black % or St Dev P value Hispanic % or St Dev P value Asian % or St Dev P value
Total 226,615 57.7% 78,321 19.9% 73,945 18.8% 14,162 3.6%
Age 53.3 17.1 49.0 14.7 44.0 15.8 42.1 16.8
Sex
  Female 138,258 61.0% 45,147 57.6%  < 0.001 49,306 66.7%  < 0.001 8504 60.0% 0.02
  Male 86,678 38.2% 31,892 40.7% 24,018 32.5% 5564 39.3%
US vs Foreign Born
  US 214,694 94.7% 73,384 93.7%  < 0.001 38,043 51.4%  < 0.001 5042 35.6%  < 0.001
  Foreign 10,570 4.7% 3910 5.0% 35,420 47.9% 9073 64.1%
Insurance
  Private 120,537 53.2% 18,482 23.6%  < 0.001 22,738 30.7%  < 0.001 9760 68.9%  < 0.001
  Medicare 52,212 23.0% 12,118 15.5% 7246 9.8% 1426 10.1%
  Medicaid 26,564 11.7% 29,479 37.6% 25,341 34.3% 1366 9.6%
  Other 17,738 7.8% 4049 5.2% 3147 4.3% 456 3.2%
Marital Status
  Married or Living with Partner 134,405 59.3% 19,637 25.1% 35,495 48.0% 7644 54.0%
  Divorced or Separated 35,739 15.8% 17,429 22.3%  < 0.001 13,712 18.5%  < 0.001 999 7.1%  < 0.001
  Never Married 41,995 18.5% 32,748 41.8%  < 0.001 19,509 26.4%  < 0.001 4932 34.8%  < 0.001
  Widowed 11,977 5.3% 4477 5.7%  < 0.001 2740 3.7%  < 0.001 317 2.2%  < 0.001
Income
   < 10 K 15,758 7.0% 25,016 31.9%  < 0.001 11,900 16.1%  < 0.001 891 6.3%  < 0.001
  10–35 K 36,349 16.0% 18,492 23.6% 16,941 22.9% 1698 12.0%
  35–75 K 50,413 22.2% 9443 12.1% 11,051 14.9% 2576 18.2%
  75 K–150 K 59,439 26.2% 4369 5.6% 6186 8.4% 3289 23.2%
   > 150 K 38,096 16.8% 1455 1.9% 2586 3.5% 2797 19.8%
Education
   <  = Grade 11 6051 2.7% 11,477 14.7%  < 0.001 17,593 23.8%  < 0.001 254 1.8%  < 0.001
  HS/GED 28,831 12.7% 26,310 33.6% 18,163 24.6% 957 6.8%
  College 58,350 25.7% 21,906 28.0% 18,512 25.0% 1973 13.9%
  Advanced Degree 131,164 57.9% 15,163 19.4% 17,491 23.7% 10,769 76.0%

Cost-Associated Barriers

After adjusting for age, sex, education, and income, Black and Hispanic patients were more likely to seek care from emergency departments (Black aOR 3.83, 95% CI 3.51–4.18; Hispanic aOR 2.49, 95% CI 2.22–2.78), delay care from a generalist (Black aOR 1.67, 95% CI 1.58–1.77; Hispanic aOR 1.72, 95% CI 1.62–1.82), and delay follow-ups (Black aOR 1.49, 95% CI 1.41–1.57; Hispanic aOR 1.55, 95% CI 1.47–1.65). Black patients were also more likely to delay medication refills (aOR 1.09, 95% CI 1.04–1.15) and skip medications (aOR 1.10, 95% CI 1.04–1.16) due to cost concerns. Asians were more likely to delay care from generalist (aOR 1.2, 95% CI 1.1–1.3), but less likely to seek care from emergency departments (aOR 0.67, 95% CI 0.48–0.93) or delay refills (aOR 0.89, 0.80–0.98) (Table 2).

Table 2.

Cost and Non-Cost Associated Barriers to Care Among Racial/Ethnic Minorities, Adjusted for Sex, Foreign Born, and Income

White Black Hispanic Asian
Reference aOR 95% low 95% high P value aOR 95% low 95% high P value aOR 95% low 95% high P value
Places to get care—emergency room - 3.83 3.51 4.18  < 0.001 2.49 2.22 2.78  < 0.001 0.67 0.48 0.93 0.02
Cost-associated barriers
  Delayed generalist care due to cost - 1.67 1.58 1.77  < 0.001 1.72 1.62 1.82  < 0.001 1.19 1.06 1.33 0.004
  Delayed specialist care due to cost - 0.97 0.93 1.01 0.16 1.02 0.98 1.07 0.38 1.16 1.08 1.25  < 0.001
  Delayed follow-up care due to cost 1.49 1.41 1.57  < 0.001 1.55 1.47 1.65  < 0.001 1.02 0.92 1.15 0.67
  Delayed filling prescription due to cost - 1.09 1.04 1.15  < 0.001 0.96 0.91 1.01 0.14 0.89 0.8 0.98 0.02
  Skipped medication due to cost - 1.1 1.04 1.16  < 0.001 0.98 0.92 1.05 0.6 0.94 0.83 1.06 0.28
Non-cost associated barriers
  Delay in care—no time off work - 1.15 1.09 1.22  < 0.001 1.7 1.62 1.78  < 0.001 1.98 1.84 2.13  < 0.001
  Delay in care—no transportation - 1.57 1.49 1.65  < 0.001 1.45 1.37 1.54  < 0.001 1.17 1.04 1.31 0.008
  Delay in care—no childcare - 1.25 1.14 1.37  < 0.001 2.1 1.94 2.29  < 0.001 1.11 0.95 1.31 0.19
  Delay in care—no elder care - 1.14 1.02 1.26 0.02 1.46 1.32 1.63  < 0.001 0.91 0.73 1.13 0.4
  Delay in care—living in rural area - 0.92 0.85 0.99 0.04 1.14 1.05 1.25 0.003 0.59 0.48 0.73  < 0.001

Non-Cost Associated Barriers

Non-White individuals were more likely to delay care due to lack of time off work (Black aOR 1.15, 95% CI 1.09–1.22; Hispanic aOR 1.70, 95% CI 1.62–1.78; Asian aOR 1.98, 95% CI 1.84–2.13) and lack of transportation (Black aOR 1.57, 95% CI 1.49–1.65; Hispanic aOR 1.45, 95% CI 1.37–1.54; Asian aOR 1.17, 95% CI 1.04–1.31). Black and Hispanic individuals were more likely to delay care due to lack of childcare (Black aOR 1.25, 95% CI 1.14–1.37; Hispanic aOR 2.10, 95% CI 1.94–2.29) and elder care (Black aOR 1.14, 95% CI 1.02–1.26; Hispanic aOR 1.46, 95% CI 1.32–1.63). Hispanic individuals are also more likely to delay care due to living in rural areas (aOR 1.14, 95% CI 1.05–1.25).

DISCUSSIONS

This study highlights the pervasive nature cost and non-cost barriers faced by minority populations. Black and Hispanic patients are more likely to utilize emergency departments and delay care due to cost. Previous research also found minority groups have less access to primary care and preventive services, leading to an overreliance on emergency care.5 Interestingly, Asian participants were more likely to delay care but less likely to seek emergency care or delay medications, possibly suggesting distinct barriers or cultural preferences in healthcare utilization.

Similar to prior findings, non-cost barriers such as finding time off work and lack of transportation were ubiquitous within minority groups.1 Addressing financial barriers alone may not sufficiently improve access for these populations. Further strategies must be implemented to enhance access to medical care, such as offering extended hours, telehealth services, and transportation assistance. Additionally, while it is crucial to address these barriers, further studies are needed to evaluate how these barriers impact outcomes for these individuals.

Limitations

Although the AoU Program aims to recruit a socially diverse cohort, there may still be sampling biases that impacts the generalizability of the results. Additionally, this survey lacks information such as the extent or duration of delay in care or medications.

CONCLUSION

Racial/ethnic minority populations continue to face cost, structural, and societal barriers to obtaining care. It is imperative for policy makers, providers, and community leaders to identify these impediments and to address these with targeted strategies to optimally promote health equity.

Declarations:

Conflict of Interest:

ABJ received consulting and speaking for Salix Pharmaceuticals, consulting for Dynavax Therapeutics, and speaking for Madrigal Pharmaceuticals. XY, RZ, SP, NN, RR, and CL have no financial conflicts to report.

Footnotes

Publisher's Note

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

References

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