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Hospital Capital Assets, Community Health, and the Utilization and Cost of Inpatient Care

A Population-Based Study of US Counties

Datos Bibliográficos

ID9099323
AutoresAdam Gaffney (0000-0001-7326-0661, Cambridge Health Alliance, autor de correspondencia), Danny Mccormick (Cambridge Health Alliance, autor de correspondencia), David Bor (Cambridge Health Alliance), David H Bor (Cambridge Health Alliance, autor de correspondencia), Steffie Woolhandler (0000-0002-8965-1058, Cambridge Health Alliance, autor de correspondencia), David U Himmelstein (0000-0002-2394-4915, Cambridge Health Alliance, autor de correspondencia)
Año2024
Volumen62
Número6
Páginas396-403
Fecha de publicación2024-06-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001999
PMID38598671
OpenAlexW4394646285
IdiomaEN
Referencias citadas25

BACKGROUND: The provision of high-quality hospital care requires adequate space, buildings, and equipment, although redundant infrastructure could also drive service overprovision. OBJECTIVE: To explore the distribution of physical hospital resources-that is, capital assets-in the United States; its correlation with indicators of community health and nonhealth factors; and the association between hospital capital density and regional hospital utilization and costs. RESEARCH DESIGN: We created a dataset of n=1733 US counties by analyzing the 2019 Medicare Cost Reports; 2019 State Inpatient Database Community Inpatient Statistics; 2020-2021 Area Health Resource File; 2016-2020 American Community Survey; 2022 PLACES; and 2019 CDC WONDER. We first calculated aggregate hospital capital assets and investment at the county level. Next, we examined the correlation between community's medical need (eg, chronic disease prevalence), ability to pay (eg, insurance), and supply factors with 4 metrics of capital availability. Finally, we examined the association between capital assets and hospital utilization/costs, adjusted for confounders. RESULTS: Counties with older and sicker populations generally had less aggregate hospital capital per capita, per hospital day, and per hospital discharge, while counties with higher income or insurance coverage had more hospital capital. In linear regressions controlling for medical need and ability to pay, capital assets were associated with greater hospital utilization and costs, for example, an additional $1000 in capital assets per capita was associated with 73 additional discharges per 100,000 population (95% CI: 45-102) and $19 in spending per bed day (95% CI: 12-26). CONCLUSIONS: The level of investment in hospitals is linked to community wealth but not population health needs, and may drive use and costs

Business · Capital (architecture) · Capital expenditure · Economic growth · Economics · Environmental health · Geography · Health care · Inpatient care · Investment (military) · Per capita · Population · Finance · Global Health Care Issues · Healthcare Policy and Management · Medicine · Primary Care and Health Outcomes

  • The Implications of Regional Variations in Medicare Spending. Part 1

    Open Access•Elliott S Fisher, David E Wennberg et al.•Annals of Internal Medicine•2003

  • The Inverse Care Law

    Open Access•Julian Tudor Hart•The Lancet•1971

  • Commentary

    John E Wennberg•Medical Care•1985

  • Do Hospital Service Areas and Hospital Referral Regions Define Discrete Health Care Populations

    Austin S Kilaru, Douglas J Wiebe et al.•Medical Care•2015

  • The Price Ain't Right? Hospital Prices and Health Spending on the Privately Insured

    Open Access•Zosia Cooper, Zack Cooper et al.•The Quarterly Journal of Economics•2018

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