The Impact of Federal COVID-19 Provider Relief Funds on Patients, Hospitals, and Disparities
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 1R36HS029440-01
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Key facts
Disease
COVID-19Start & end year
2023.02024.0Known Financial Commitments (USD)
$43,137Funder
National Institutes of Health (NIH)Principal Investigator
. Jason BuxbaumResearch Location
United States of AmericaLead Research Institution
HARVARD MEDICAL SCHOOLResearch Priority Alignment
N/A
Research Category
Policies for public health, disease control & community resilience
Research Subcategory
Policy research and interventions
Special Interest Tags
N/A
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Project Summary/Abstract The outbreak of COVID-19 in 2020 imposed extreme demands on the US medical system. Congress responded with $178 billion in emergency relief to be shared among hospitals, physicians, and other providers. However, little is known about the impact of these funds on inpatient capacity, patient experience, patient mortality, or closure and consolidation. The impact of funding on racial/ethnic disparities is also unknown. I aim to address these gaps in knowledge. I propose to exploit a natural experiment made possible by how the US Department of Health and Human Services (HHS) distributed $34 billion in COVID-19 relief funds for hospitals. These funds, awarded to safety- net hospitals and hospitals with high numbers of COVID-19 cases early in the pandemic, were allocated using formulas with inflexible thresholds. Using regression discontinuity methods, I will compare outcomes at hospitals barely missing the criteria for funding with hospitals barely surpassing the criteria for funding. I will extend the common regression discontinuity design to accommodate the multi-variable, multi-cutoff formulas adopted by HHS for fund allocation. Results will have broad policy relevance in several respects, irrespective of whether I detect statistically significant effects. Findings will speak to the advisability of channeling finite resource to the acute care system when public health conditions next overwhelm capacity. Evaluation of this relationship between funding and capacity will speak directly to AHRQ's focus on improving safety, quality, and access. The research will increase understanding of the trade-off between quality and affordability, which can in turn inform decisions around cost containment. In addition, the research will contribute to understanding of the relationship between hospital funding, hospital closures, and competition-reducing consolidation. Closures and consolidation represent perennial challenge to access and affordability - areas of key focus for AHRQ. Finally, findings will speak to the extent that politically viable, "color-blind" policies can reduce disparities across racial and ethnic lines. In so doing, findings can inform the tactics used by policymakers and advocates to reduce healthcare inequities