Objective: To examine the association of Medicaid home- and community-based services (HCBS) expenditures on the home care workforce.
Data Sources/study Setting: We use two national, secondary data sources from 2008 to 2019: state-level Medicaid HCBS expenditures and the American Community Survey, in which we identify direct care workers in the home (i.e., home care workers), defined as nursing, psychiatric, and home health aides or personal care aides working in home health care services, individual and family services, and private households.
Study Design: Our key explanatory variable is HCBS expenditures per state per year. To estimate the association between changes in Medicaid HCBS expenditures and the workforce size, hourly wages and hours worked, we use negative binomial, linear, and generalized ordered logit regression, respectively. All models include demographic and socioeconomic characteristics, the number of potential HCBS beneficiaries (individuals with a disability and income under the federal maximum income eligibility limits), indicators for minimum wage and/or overtime protections for direct care workers, wage pass-through policies, and state and year fixed effects.
Data Collection/extraction Methods: We exclude states with incomplete reporting of expenditures.
Principal Findings: States' HCBS expenditures increased between 2008 and 2019 after adjusting for inflation and the number of potential HCBS beneficiaries. Yet, home care workers' wages remained stagnant at $11-12/h. We find no association between changes in Medicaid HCBS expenditures and wages. For every additional $1 million in Medicaid HCBS expenditures, the expected number of workers increases by 1.2 and the probability of working overtime increased (0.0015% points; p < 0.05). Results are largely robust under multiple sensitivity analyses.
Conclusions: We find no evidence of a statistically significant relationship between changes in state-level changes in Medicaid HCBS expenditures and worker wages but do find a significant, but small, association with hours worked and workforce size.
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http://dx.doi.org/10.1111/1475-6773.14399 | DOI Listing |
Health Serv Res
October 2024
Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Objective: To examine the association of Medicaid home- and community-based services (HCBS) expenditures on the home care workforce.
Data Sources/study Setting: We use two national, secondary data sources from 2008 to 2019: state-level Medicaid HCBS expenditures and the American Community Survey, in which we identify direct care workers in the home (i.e.
Gerontologist
July 2024
Center for Gerontology, Virginia Tech, Blacksburg, Virginia, USA.
Background And Objectives: Home- and community-based services (HCBS) are underutilized, despite offering significant health benefits to both care recipients and caregivers. Drawing upon Andersen's extended behavioral model of health services use, we examined individual- and county-level factors influencing HCBS utilization for dementia care in rural Appalachia.
Research Design And Methods: We analyzed data from telephone interviews with 123 dementia family caregivers in rural Appalachian counties (Mage = 64.
Disabil Health J
July 2024
Virginia Commonwealth University, Partnership for People with Disabilities, PO Box 843020, Richmond, VA, 23219, USA. Electronic address:
Background: People with intellectual and developmental disabilities (IDD) were disproportionately affected by the COVID-19 pandemic. Predicting COVID-19 infection has been difficult.
Objective: We sought to address two research questions in this study: 1) to assess the overall utility of a machine learning model to predict COVID-19 diagnosis for people with IDD, and 2) to determine the primary predictors of COVID-19 diagnosis in a random sample of Home and Community Based Services users in one state.
Health Serv Res
April 2024
Division of Health Policy and Outcomes Research, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA.
Objective: To examine the relationship between the level of state funding for Home- and Community-Based Services (HCBS) and state overall and dimension-specific performances in Long-Term Services and Supports (LTSS).
Data Sources And Study Setting: We employed state-level secondary data from the Medicaid LTSS Annual Expenditures Reports, the American Association of Retired Persons (AARP) State Scorecards, the U.S.
Health Serv Res
April 2024
Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA.
Objective: To test whether the impacts of Medicaid's Home and Community-Based Services (HCBS) expenditures have been equitable.
Data Sources And Study Setting: This is a secondary data analysis. We linked annual data on state-level Medicaid HCBS expenditures with individual data from U.
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