The effect of Medicaid eligibility on utilization of services and access to care among health center patients: A regression discontinuity design

Hailun LIANG, Lei TAO, Leiyu SHI

Research output: Contribution to journalArticlespeer-review

Abstract

The United States’ Affordable Care Act (ACA) aims to improve access to and quality of care for low-income patients. To do so, it expands Medicaid eligibility from individuals under 100% of the federal poverty level (FPL) to include those under 138% of the FPL. Based on the 2014 Health Center Patient Survey (a nationally representative survey sponsored by the Health Resources and Services Administration (HRSA) (n = 4,380)), this study examined the effects of the Medicaid eligibility on having a usual source of care and the utilization of preventive services among health center patients. A regression discontinuity approach was used to identify the causative impact of Medicaid enrollment on low-income and nonelderly health center patients. Our findings suggest that Medicaid enrollment led to a substantial increase in the probability of both undergoing a routine checkup and having had a fecal occult blood test within the past year. These results indicate that changes to Medicaid policy have the potential to affect vulnerable populations. The evidence we provide supports the importance of maintaining the ACA due to its expanded Medicaid funding. Copyright © 2023 Hailun Liang et al.
Original languageEnglish
JournalHealth and Social Care in the Community
Early online dateAug 2023
DOIs
Publication statusE-pub ahead of print - Aug 2023

Citation

Liang, H., Tao, L., & Shi, L. (2024). The effect of Medicaid eligibility on utilization of services and access to care among health center patients: A regression discontinuity design. Health and Social Care in the Community. Advance online publication. https://doi.org/10.1155/2023/9102639

Fingerprint

Dive into the research topics of 'The effect of Medicaid eligibility on utilization of services and access to care among health center patients: A regression discontinuity design'. Together they form a unique fingerprint.