Racial and neighborhood disparities in mortality among hospitalized COVID-19 patients in the United States: An analysis of the CDC case surveillance database.


Journal

PLOS global public health
ISSN: 2767-3375
Titre abrégé: PLOS Glob Public Health
Pays: United States
ID NLM: 9918283779606676

Informations de publication

Date de publication:
2022
Historique:
received: 30 05 2022
accepted: 06 10 2022
entrez: 24 3 2023
pubmed: 25 3 2023
medline: 25 3 2023
Statut: epublish

Résumé

Black and Hispanic populations have higher overall COVID-19 infection and mortality odds compared to Whites. Some state-wide studies conducted in the early months of the pandemic found no in-hospital racial disparities in mortality. We performed chi-square and logistic regression analyses on the CDC COVID-19 Case Surveillance Restricted Database. The primary outcome of the study was all-cause in-hospital mortality. The primary exposures were racial group (White, Black, Hispanic and Others) and neighborhood type (low vulnerability, moderate vulnerability, high vulnerability, very high vulnerability). The overall unadjusted mortality rate was 33% and was lowest among Hispanics. In the fully adjusted models, Blacks and Hispanics had higher overall odds of dying [OR of 1.20 (95% CI 1.15, 1.25) and 1.23 (95% CI 1.17, 1.28) respectively] compared with White patients, and patients from neighborhoods with very high vulnerability had the highest mortality odds in the Northeast, Midwest and overall [Adjusted OR 2.08 (95% CI 1.91, 2.26)]. In the Midwest, Blacks and Hispanics had higher odds of mortality compared with Whites, but this was not observed in other regions. Among hospitalized COVID-19 patients, Blacks and Hispanics were more likely to die compared to Whites in the Midwest. Patients from highly vulnerable neighborhoods also had the highest likelihood of death in the Northeast and Midwest. These results raise important questions on our efforts to curb healthcare disparities and structural racism in the healthcare setting.

Sections du résumé

BACKGROUND BACKGROUND
Black and Hispanic populations have higher overall COVID-19 infection and mortality odds compared to Whites. Some state-wide studies conducted in the early months of the pandemic found no in-hospital racial disparities in mortality.
METHODS METHODS
We performed chi-square and logistic regression analyses on the CDC COVID-19 Case Surveillance Restricted Database. The primary outcome of the study was all-cause in-hospital mortality. The primary exposures were racial group (White, Black, Hispanic and Others) and neighborhood type (low vulnerability, moderate vulnerability, high vulnerability, very high vulnerability).
FINDINGS RESULTS
The overall unadjusted mortality rate was 33% and was lowest among Hispanics. In the fully adjusted models, Blacks and Hispanics had higher overall odds of dying [OR of 1.20 (95% CI 1.15, 1.25) and 1.23 (95% CI 1.17, 1.28) respectively] compared with White patients, and patients from neighborhoods with very high vulnerability had the highest mortality odds in the Northeast, Midwest and overall [Adjusted OR 2.08 (95% CI 1.91, 2.26)]. In the Midwest, Blacks and Hispanics had higher odds of mortality compared with Whites, but this was not observed in other regions.
INTERPRETATION CONCLUSIONS
Among hospitalized COVID-19 patients, Blacks and Hispanics were more likely to die compared to Whites in the Midwest. Patients from highly vulnerable neighborhoods also had the highest likelihood of death in the Northeast and Midwest. These results raise important questions on our efforts to curb healthcare disparities and structural racism in the healthcare setting.

Identifiants

pubmed: 36962563
doi: 10.1371/journal.pgph.0000701
pii: PGPH-D-22-00868
pmc: PMC10022015
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0000701

Informations de copyright

Copyright: © 2022 Joseph et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Atarere Joseph (A)

Department of Biostatistics and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Department of Internal Medicine, MedStar Union Memorial Hospital, Baltimore, Maryland, United States of America.

Tarsicio Uribe-Leitz (T)

Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Program in Global Surgery and Social Change, Harvard Medical School, Boston Massachusetts, United States of America.
Division of Sport and Health Sciences, Department of Epidemiology, Technical University of Munich, Munich, Germany.

Tanujit Dey (T)

Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.

Joaquim Havens (J)

Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Division of Trauma, Burns, and Surgical Critical Care, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.

Zara Cooper (Z)

Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Division of Trauma, Burns, and Surgical Critical Care, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.

Nakul Raykar (N)

Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Program in Global Surgery and Social Change, Harvard Medical School, Boston Massachusetts, United States of America.
Division of Trauma, Burns, and Surgical Critical Care, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.

Classifications MeSH