Measuring the impact of the Affordable Care Act Medicaid expansion on access to primary care using an interrupted time series approach

Elizabeth A. Brown, Brandi M. White, Walter J. Jones, Mulugeta Gebregziabher, Kit N. Simpson

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Background: The Patient Protection and Affordable Care Act of 2010, commonly referred to as the Affordable Care Act (ACA), was created to increase access to primary care, improve quality of care, and decrease healthcare costs. A key provision in the law that mandated expansion of state Medicaid programme changed when states were given the option to voluntarily expand Medicaid. Our study sought to measure the impact of ACA Medicaid expansion on preventable hospitalization (PH) rates, a measure of access to primary care. Methods: We performed an interrupted time series analysis of quarterly hospitalization rates across eight states from 2012 to 2015. Segmented regression analysis was utilized to determine the impact of policy reform on PH rates. Results: The Affordable Care Act’s Medicaid expansion led to decreased rates of PH (improved access to care); however, the finding was not significant (coefficient estimate: −0.0059, CI −0.0225, 0.0107, p = 0.4856). Healthcare system characteristics, such as Medicaid spending per enrollee and Medicaid income eligibility, were associated with a significant decrease in rates of PH (improved access to care). However, the Medicaid-to-Medicare fee index (physician reimbursement) and states with a Democratic state legislature had a significant increase in rates of PH (poor access to care). Conclusion: Health policy reform and healthcare delivery characteristics impact access to care. Researchers should continue evaluating such policy changes across more states over longer periods of time. Researchers should translate these findings into cost analysis for state policy-makers to make better-informed decisions for their constituents. Contribution to knowledge: Ambulatory care-sensitive conditions are a feasible method for evaluating policy and measuring access to primary care. Policy alone cannot improve access to care. Other factors (trust, communication, policy-makers’ motivations and objectives, etc.) must be addressed to improve access.

Original languageEnglish
Article number77
JournalHealth Research Policy and Systems
Volume19
Issue number1
DOIs
StatePublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

Funding

Data and analytic support were provided through the Comparative Effectiveness and Data Analytics Research Resource Core (CEDAR), funded by the Medical University of South Carolina Office of the Provost, and by the South Carolina Clinical and Translational Research (SCTR) Institute, with an academic home at the Medical University of South Carolina, through NIH grant numbers UL1 RR029882 and UL1 TR001450.

FundersFunder number
Comparative Effectiveness and Data Analytics Research Resource Core
South Carolina Clinical and Translational Research Institute, Medical University of South Carolina
National Institutes of Health (NIH)UL1 RR029882
National Center for Advancing Translational Sciences (NCATS)UL1TR001450
Medical University South Carolina
Medical University of South Carolina Office of the Provost

    Keywords

    • Access
    • Health policy
    • Interrupted time series analysis
    • Medicaid
    • Patient Protection and Affordable Care Act
    • Primary care

    ASJC Scopus subject areas

    • Health Policy

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