Cited by 41COVID-19 Clinical Research StudiesCOVID-19 epidemiological studiesHealthcare Policy and Management

Allocation of COVID-19 Relief Funding to Disproportionately Black Counties

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Kakani, Pragya, Chandra, Amitabh, Mullainathan, Sendhil, Obermeyer, Ziad·2020·JAMA

Abstract

days).Among dead or discharged patients (n = 2252 [77.5%] overall; n = 774 in surge 1 and n = 1478 in surge 2), surge 2 inhospital mortality was significantly lower compared with that for surge 1 (5.1% vs 12.1%; difference, -7.07%; 95% CI, -9.63% to -4.51%).In-hospital mortality among discharged and deceased ICU-treated patients during surge 2 was not significantly lower than that during surge 1 (49/214 [22.9%] vs 81/295 [27.5%]; difference, -4.56%; 95% CI, -12.15% to 3.03%).The mean daily proportion of individuals with positive RT-PCR results during surge 1 was 13%, whereas it was 25% during surge 2.Discussion | An increase in COVID-19 hospitalizations was observed across a major health care system in the greater Houston area, which was temporally related to phased reopening.Throughout the reporting period, hospital admission guidelines were consistently based on risk stratification by evaluation of severity of symptoms, comorbidities, diagnostic findings, and pulse oximetry.During surge 2, the absolute number of RT-PCR tests performed increased, as did the proportion of positive results.Therefore, higher hospital census likely reflects higher rates of community COVID-19 prevalence.Surge 2 data indicated a demographic shift of the pandemic toward a younger, predominantly Hispanic, and lower socioeconomic patient population with an overall lower comorbidity burden, ICU admission rate, and in-hospital mortality.The demographic and socioeconomic shift may reflect return to work and relaxation of COVID-19 transmission mitigation practices.Additionally, in-hospital mortality among ICU-treated surge 2 patients was 4.6% lower than that in surge 1.The overall better outcomes during surge 2 may be explained by a combination of lower comorbidity burden, lesser disease severity, and better medical management.Limitations of the study include data from a single hospital system that may not be generalizable.The shift toward non-ICU resources implies that different staffing patterns and infection control practices may be needed.Lower acuity and ICU use and shorter lengths of stay may allow for increased capacity and less overall stress on health care resources.

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  • AI models are frequently found to be biased toward certain patient groups, leading to disparities not only in performance but also in potential or actual clinical benefits.

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  1. Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

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Authors
Kakani, P., Chandra, A., Mullainathan, S., & Obermeyer, Z.
Affiliations
  • Harvard University (US)
  • University of Chicago (US)
  • University of California, Berkeley (US)
Corresponding author
Obermeyer, Ziad
Venue
JAMA
Published
2020-09-08
Volume
324
Issue
10
Pages
1000
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W3048341767
Cited by
41
References
5
Citations by year
2026: 2 · 2025: 5 · 2024: 6 · 2023: 4 · 2022: 4 · 2021: 13 · 2020: 7
FWCI
0.91
Type
journal article
Language
en
Open access
Locations
  • JAMA (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Aging (T32AG000186, AG005842, P01AG005842)
Topics
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
Keywords
racial disparities, health care funding allocation, in-hospital mortality, intensive care unit admission, RT-PCR positivity, socioeconomic disparities
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Black or African American, Financial Support, Medicare, Hospitals, Humans, Pneumonia, Viral, United States, Coronavirus Infections, Resource Allocation, Pandemics

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