Associations of U.S. hospital closure (2007-2018) with area socioeconomic disadvantage and racial/ethnic composition

Ann Epidemiol. 2024 Apr:92:40-46. doi: 10.1016/j.annepidem.2024.02.010. Epub 2024 Mar 2.

Abstract

Purpose: To examine whether hospital closure is associated with high levels of area socioeconomic disadvantage and racial/ethnic minority composition.

Methods: Pooled cross-sectional analysis (2007-2018) of 6467 U.S. hospitals from the American Hospital Association's Annual Survey, comparing hospital population characteristics of closed hospitals to all remaining open hospitals. We used multilevel mixed-effects logistic regression models to assess closure as a function of population characteristics, including area deprivation index ([ADI], a composite measure of socioeconomic disadvantage), racial/ethnic composition, and rural classification, nesting hospitals within hospital service areas (HSAs) and hospital referral regions. Secondary analyses examined public or private hospital type.

Results: Overall, 326 (5.0%) of 6467 U.S. hospitals closed during the study period. In multivariable models, hospitals in HSAs with a higher burden of socioeconomic disadvantage (per 10% above median ADI ZIP codes, AOR 1.05; 95% CI, 1.01-1.09) and Black Non-Hispanic composition (highest quartile, AOR 4.03; 95% CI, 2.62-6.21) had higher odds of closure. We did not observe disparities in closure by Hispanic/Latino composition or rurality. Disparities persisted for Black Non-Hispanic communities, even among HSAs with the lowest burden of disadvantage.

Conclusions: Disproportionate hospital closure in communities with higher socioeconomic disadvantage and Black racial composition raises concerns about unequal loss of healthcare resources in the U.S.

Keywords: Disadvantage; Health equity; Hospital access; Hospital closure; Hospital financing; Racial disparity; Socioeconomic.

MeSH terms

  • Cross-Sectional Studies
  • Ethnicity*
  • Health Facility Closure*
  • Humans
  • Minority Groups
  • Socioeconomic Disparities in Health
  • United States
  • White