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Active NON-SBIR/STTR RPGS NIH (US)

Strengthening the Dementia Care Workforce: Analyzing Economic Policies' influence on Workers and their Patients Living with Dementia

$6.71M USD

Funder NATIONAL INSTITUTE ON AGING
Recipient Organization University of Pennsylvania
Country United States
Start Date Sep 01, 2024
End Date May 31, 2029
Duration 1,733 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10975719
Grant Description

Project Summary The long-term care industry is one of the fastest growing sectors of the economy1, while also creating some of the lowest-paid and lowest-quality jobs. These precarious working conditions are costly for workers – who are disproportionately women and women of color2,3 – and the patients they care for. On the worker side, the

conditions of long-term care jobs keep families in poverty and contribute to gender and racial economic disparities in the workforce.2,3 Worker turnover is high, and worker shortages are pervasive.4-6 These precarious working conditions may deteriorate the quality of care workers can provide and have a detrimental

impact on patient outcomes, potentially contributing to or exacerbating health disparities among patients.6,7 This could be particularly an issue for people living with Alzheimer's disease and Alzheimer's disease and related dementias (AD/ADRD), where continuity of care and communication between the care team is

paramount.8,9 The working conditions of this workforce, both wages and workload, have important implications for turnover and overall well-being. In Aim 1, we will study the impact of wage changes, instrumented through minimum wage laws and pandemic-related wage protections, on home health care worker outcomes, including wages,

turnover, and poverty. In Aims 2 and 3, we will study the impact of staffing regulations and unionization, respectively, in nursing home settings, on the welfare of the workers, measured by wages, turnover, and reliance on contract staff. We will look for heterogeneity in the effects of workplace policies on workers, based

on geography (urban vs. rural), and agency/facility metrics (star rating, percent Medicaid, percent patients who are of a racial/ethnic minoritized group). In each aim, we will take the next important step, which is to estimate how these workforce changes are related to patient outcomes, including functional status, physical and mental health, and health care utilization

and mortality. We will focus our analysis on people living with dementia; over one-third of home health care recipients and one-half of residents in nursing homes have AD/ADRD.10 This group is likely the most vulnerable to staffing changes, training, and disruptions. We will look for heterogeneity in the effects of

workplace policies on patients by both facility (e.g.,profit status, rurality) and patient-level characteristics (e.g., race, ethnicity, sex). This project will build the evidence base on which we can make informed policy recommendations that could improve the lives of the dementia care workforce and their patients.

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University of Pennsylvania

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