BMC Research Notes (Jun 2022)

Income disparities in driving distance to health care infrastructure in the United States: a geographic information systems analysis

  • Jingchuan Guo,
  • Inmaculada Hernandez,
  • Sean Dickson,
  • Shangbin Tang,
  • Utibe R. Essien,
  • Christina Mair,
  • Lucas A. Berenbrok

DOI
https://doi.org/10.1186/s13104-022-06117-w
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 4

Abstract

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Abstract Objective Inequities in access to health care contribute to persisting disparities in health care outcomes. We constructed a geographic information systems analysis to test the association between income and access to the existing health care infrastructure in a nationally representative sample of US residents. Using income and household size data, we calculated the odds ratio of having a distance > 10 miles in nonmetropolitan counties or > 1 mile in metropolitan counties to the closest facility for low-income residents (i.e., < 200% Federal Poverty Level), compared to non-low-income residents. Results We identified that in 954 counties (207 metropolitan counties and 747 nonmetropolitan counties) representing over 14% of the US population, low-income residents have poorer access to health care facilities. Our analyses demonstrate the high prevalence of structural disparities in health care access across the entire US, which contribute to the perpetuation of disparities in health care outcomes.

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