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.
| Original language | English |
|---|---|
| Pages (from-to) | 40-46 |
| Number of pages | 7 |
| Journal | Annals of Epidemiology |
| Volume | 92 |
| DOIs | |
| State | Published - 1 Apr 2024 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- Disadvantage
- Health equity
- Hospital access
- Hospital closure
- Hospital financing
- Racial disparity
- Socioeconomic
ASJC Scopus subject areas
- Epidemiology
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