Objective: To assess post-COVID-19 changes in insurance coverage, health behaviors, and self-assessed health among low-income, non-elderly adults by state Medicaid expansion status.
Data Sources: We used nationally representative survey data from the 2016 through 2020 Behavioral Risk Factor Surveillance System (BRFSS). The sample was restricted to adults aged 19-64 with household income below 138 percent of the federal poverty level (N = 179,135).
Study Design: We examined a broad set of outcomes related to coverage, health behaviors, and self-assessed health available in the BRFSS. We used a difference-in-differences model to compare changes in outcomes for individuals living in the 35 states and DC that expanded Medicaid under the Affordable Care Act to those in the 15 non-expansion states before and after the COVID-19 pandemic commenced in March 2020.
Data Collection/extraction Methods: N/A.
Principal Findings: We found that the expansions provided some protection for low-income people during the pandemic. In 2020, relative to earlier years, people in expansion states were more likely to report very good or excellent health (4.9 percentage points, 95%CI = 0.022, 0.076; p < 0.01) and physical health (-0.393 days of poor physical health in the past month, 95%CI = -0.714, -0.072; p < 0.05), lower rates of smoking (-1.9 percentage points, 95%CI = -0.041, 0.004; p < 0.10) and heavy drinking (-1.4 percentage points, 95%CI = -0.025, -0.004; p < 0.01), and higher flu vaccination rates (2.8 percentage points, 95%CI = 0.005, 0.051; p < 0.05) than those in non-expansion states. These benefits were particularly salient for Black and Hispanic individuals. We found no significant differences in insurance coverage, exercise, obesity, and self-assessed mental health between expansion and non-expansion states for the overall low-income sample. However, the expansion was associated with greater insurance coverage for Hispanic adults during the pandemic.
Conclusions: Investments in public health through expanding Medicaid may shield low-income populations from some of the health ramifications of public health emergencies.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538092 | PMC |
http://dx.doi.org/10.1111/1475-6773.14044 | DOI Listing |
Cancers (Basel)
January 2025
College of Medicine, Howard University, 2041 Georgia Ave NW Rm. 4B-16, Washington, DC 20019, USA.
Introduction: Medicaid expansion (ME) has positively impacted colon cancer screening. ME's effect on colon cancer treatment is less clear. This study analyses the effect of ME on patterns of colon cancer treatment.
View Article and Find Full Text PDFJAMA Health Forum
January 2025
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts.
Importance: Although Medicare Advantage plans frequently offer dental benefits, enrollees report lower rates of dental care use and higher rates of unmet dental need compared with individuals with employer-sponsored benefits. It is unknown which attributes of Medicare Advantage dental plans are associated with enhanced dental care access.
Objective: To determine attributes of Medicare Advantage dental plans associated with higher rates of dental care use and lower rates of unmet dental need.
J Rural Health
January 2025
North Carolina Rural Health Research Program, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Purpose: To provide a new approach for defining rural hospital markets.
Methods: First, we estimated models of hospital choice. We defined hospitals in the choice set using nationwide hospital data from the Healthcare Cost Report Information System (HCRIS).
BMC Health Serv Res
January 2025
Department of Internal Medicine, College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
Background: The Health Information Technology for Economic and Clinical Health Act of 2009 introduced the Meaningful Use program to incentivize the adoption of electronic health records (EHRs) in the U.S. This study investigates the disparities in EHR adoption and interoperability between rural and urban physicians in the context of federal programs like the Medicare Access and CHIP Reauthorization Act of 2015 and the 21st Century Cures Act.
View Article and Find Full Text PDFBMC Public Health
January 2025
Epidemiology and Prevention Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS 24/7, Atlanta, GA, 30329-4027, USA.
Background: To improve understanding of influenza and rurality, we investigated differences in influenza testing and anti-viral treatment rates between micropolitan (muSAs) and metropolitan statistical areas (MSAs) using national medical claims data over multiple influenza seasons.
Methods: Using billing data from the Centers for Medicare and Medicaid Services for those aged 65 years and older, we estimated weekly rates of ordered rapid influenza diagnostic tests (RIDT) and antivirals (AV) among Medicare enrollees by core-based statistical areas (CBSAs) during 2010-2016. We used Negative Binomial generalized mixed models to estimate adjusted rate ratios (aRR) between MSAs and muSAs, adjusting for clustering by CBSA plus explanatory variables.
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