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Racial/Ethnic Differential Effects of Medicaid Expansion on Health Care Access.


ABSTRACT: OBJECTIVE:To assess racial/ethnic differential impacts of the ACA's Medicaid expansion on low-income, nonelderly adults' access to primary care. DATA SOURCES:Behavioral Risk Factor Surveillance System, State Physicians Workforce Data Book, and Bureau of Labor Statistics, in 2013 and 2015. STUDY DESIGN:Quasi-experimental design with difference-in-differences analyses. Outcomes included health insurance coverage, having personal doctor(s), being unable to see doctors because of cost, and receiving a flu shot. We tested racial/ethnic differential impacts using the "Seemingly unrelated estimation" method. Multiple imputations and survey weights were used. DATA COLLECTION/EXTRACTION METHODS:Low-income, nonelderly adults were identified based on age, household income, and family size. PRINCIPAL FINDINGS:Among the low-income, nonelderly adults, Medicaid expansion was associated with statistically significant gains in health insurance coverage, having personal doctors, and affordability. Hispanics got the fewest benefits, which significantly widened racial/ethnic disparities for the Hispanic group. Racial/ethnic disparity in having personal doctors narrowed for non-Hispanic black and non-Hispanic others, although not statistically significant. CONCLUSION:Medicaid expansion improved access to primary care, but it had differential effects among racial/ethnic groups resulting in mixed effects on disparities. Further research is necessary to develop tailored policy tools for racial/ethnic groups.

SUBMITTER: Yue D 

PROVIDER: S-EPMC6153163 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Racial/Ethnic Differential Effects of Medicaid Expansion on Health Care Access.

Yue Dahai D   Rasmussen Petra W PW   Ponce Ninez A NA  

Health services research 20180222 5


<h4>Objective</h4>To assess racial/ethnic differential impacts of the ACA's Medicaid expansion on low-income, nonelderly adults' access to primary care.<h4>Data sources</h4>Behavioral Risk Factor Surveillance System, State Physicians Workforce Data Book, and Bureau of Labor Statistics, in 2013 and 2015.<h4>Study design</h4>Quasi-experimental design with difference-in-differences analyses. Outcomes included health insurance coverage, having personal doctor(s), being unable to see doctors because  ...[more]

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