Objective: To investigate the impact of Medicaid expansion on state expenditures through the end of 2022.
Data Sources: We used data from the National Association of State Budget Officers (NASBO)'s State Expenditure Report, Kaiser Family Foundation (KFF)'s Medicaid expansion tracker, US Bureau of Labor Statistics data (BLS), US Bureau of Economic Analysis data (BEA), and Pandemic Response Accountability Committee Oversight (PRAC).
Study Design: We investigated spending per capita (by state population) across seven budget categories, including Medicaid spending, and four spending sources. We performed a difference-in-differences (DiD) analysis that compared within-state changes in spending over time in expansion and nonexpansion states to estimate the effect of Medicaid expansion on state budgets. We adjusted for annual state unemployment rate, annual state per capita personal income, and state spending of Coronavirus Relief Funds (CRF) from 2020 to 2022 and included state and year fixed effects.
Data Collection/extraction Methods: We linked annual state-level data on state-reported fiscal year expenditures from NASBO with state-level characteristics from BLS and BEA data and with CRF state spending from PRAC.
Principal Findings: Medicaid expansion was associated with an average increase of 21% (95% confidence interval [CI]: 16%-25%) in per capita Medicaid spending after Medicaid expansion among states that expanded prior to 2020. After inclusion of an interaction term to separate between the coronavirus disease (COVID) era (2020-2022) and the prior period following expansion (2015-2019), we found that although Medicaid expansion led to an average increase of 33% (95% CI: 21%-45%) in federal funding of state expenditures in the post-COVID years, it was not significantly associated with increased state spending.
Conclusions: There was no evidence of crowding out of other state expenditure categories or a substantial impact on total state spending, even in the COVID-19 era. Increased federal expenditures may have shielded states from substantial budgetary impacts.
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http://dx.doi.org/10.1111/1475-6773.14331 | DOI Listing |
Ann Surg Oncol
January 2025
Department of Surgery, Division of Surgical Oncology, Loma Linda University, Loma Linda, USA.
Eur J Health Econ
January 2025
Arkansas Tech University, Arkansas, USA.
This paper examines whether the expansion of Medicaid under the Affordable Care Act (ACA), which increases access to contraceptives to low-income childless women and allows them more autonomy to determine the timing of their pregnancies and births, is associated with lower abortion rates during the period 2008-2017. Using state-level data from the Guttmacher Institute and employing a difference-in-differences method, we find that Medicaid expansion is associated with a meaningful reduction in the abortion rate among women ages 18-24, presumably through increased use of contraceptives among low-income young adults. Our estimates imply that Medicaid expansion is associated with a relative decrease in the abortion rate among this age group, approximately 1-2 per 1000 women.
View Article and Find Full Text PDFAm J Manag Care
December 2024
University of Missouri Truman School of Government and Public Affairs, 615 Locust St, E004 Locust Street Bldg, Columbia, MO 65211. Email:
Objectives: To assess the capacity of Medicaid providers to take on new patients during a time of unprecedented growth in program enrollment due to Medicaid expansion and the COVID-19 public health emergency.
Study Design: We conducted a survey of Medicaid providers in Missouri in 2023 about their patient load and capacity to accept new patients.
Methods: We recruited 141 Missouri Medicaid providers through probability sampling and 109 additional providers through convenience sampling for a total sample size of 250, representing 0.
J Patient Exp
December 2024
Division of Healthcare Financing, Wyoming Department of Health, Cheyenne, WY, USA.
Telehealth has been shown as a tool to improve health access and outcomes in rural areas. There is less literature examining the usability and utility of telehealth by rural and low-income populations. Existing literature focuses on examining telehealth usability for specific telehealth platforms and specific use cases.
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