Social Determinants of Health Correlating with Mechanical Ventilation of COVID-19 Patients: A Multi-Center Observational Study.

COVID-19 disparities mechanical ventilation race socioeconomic

Journal

International journal of general medicine
ISSN: 1178-7074
Titre abrégé: Int J Gen Med
Pays: New Zealand
ID NLM: 101515487

Informations de publication

Date de publication:
2021
Historique:
received: 19 08 2021
accepted: 29 10 2021
entrez: 1 12 2021
pubmed: 2 12 2021
medline: 2 12 2021
Statut: epublish

Résumé

Several studies have relayed the disproportionate impact of COVID-19 on marginalized communities; however, few have specifically examined the association between social determinants of health and mechanical ventilation (MV). To determine which demographics impact MV rates among COVID-19 patients. This observational study included COVID-19 patient data from eight hospitals' electronic medical records (EMR) between February 25, 2020, to December 31, 2020. Associations between demographic data and MV rates were evaluated using uni- and multivariate analyses. Multicenter (eight hospitals), largest health system in Southeast Michigan. Inpatients with a positive RT-PCR for SARS-CoV-2 on nasopharyngeal swab. Exclusion criteria were missing demographic data or non-permanent Michigan residents. Patients were divided into two groups: MV and non-MV. The primary outcome was MV rate per demographic. A multivariate model then predicted the odds of MV per demographic descriptor. Hypotheses were formulated prior to data collection. Among 11,304 COVID-19 inpatients investigated, 1621 (14.34%) were MV, and 49.96% were male with a mean age of 63.37 years (17.79). Significant social determinants for MV included Black race (40.19% MV vs 31.31% non-MV, p<0.01), poverty (14.60% vs. 13.21%, p<0.01), and disability (12.65% vs 9.14%; p<0.01). Black race (AOR 1.61 (CI 1.41-1.83; p<0.01)), median income (AOR 0.99 (CI 0.99-0.99; p<0.01)), disability (AOR 1.55 (CI 1.26, 1.90; p<0.01)), and non-English-speaking status (AOR 1.26 (CI 1.05, 1.53)) had significantly higher odds of MV. Black race, low socioeconomic status, disability, and non-English-speaking status were significant risk factors for MV from COVID-19. An urgent need remains for a pandemic response program that strategizes care for marginalized communities.

Identifiants

pubmed: 34848998
doi: 10.2147/IJGM.S334593
pii: 334593
pmc: PMC8612671
doi:

Types de publication

Journal Article

Langues

eng

Pagination

8521-8526

Informations de copyright

© 2021 Giovanatti et al.

Déclaration de conflit d'intérêts

The authors have no conflicts of interest regarding the publication of this paper.

Références

Public Health. 2020 Dec;189:129-134
pubmed: 33227595
JAMA Netw Open. 2020 Sep 1;3(9):e2021213
pubmed: 32970156
Disabil Health J. 2021 Apr;14(2):101051
pubmed: 33309535
EClinicalMedicine. 2021 Feb 26;33:100761
pubmed: 33718849
PLoS One. 2021 Jul 29;16(7):e0255171
pubmed: 34324574
JAMA Netw Open. 2020 Sep 1;3(9):e2021892
pubmed: 32975575
Crit Care Med. 2020 Sep;48(9):e799-e804
pubmed: 32452888
J Natl Med Assoc. 2021 Apr;113(2):125-132
pubmed: 32778445
PLoS One. 2021 Apr 1;16(4):e0249285
pubmed: 33793600
J Am Board Fam Med. 2021 Feb;34(Suppl):S127-S135
pubmed: 33622827
JAMA Netw Open. 2020 Dec 1;3(12):e2026881
pubmed: 33275153
JAMA Netw Open. 2020 Oct 1;3(10):e2025197
pubmed: 33084902
EClinicalMedicine. 2021 Apr;34:100814
pubmed: 33842873
NPJ Digit Med. 2021 Jul 14;4(1):110
pubmed: 34262117

Auteurs

Alexa Giovanatti (A)

Internal Medicine Department, Beaumont Health, Royal Oak, MI, USA.

Heba Elassar (H)

Internal Medicine Department, Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Patrick Karabon (P)

Office of Research, Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Tracy Wunderlich-Barillas (T)

Office of Research, Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Alexandra Halalau (A)

Internal Medicine Department, Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Classifications MeSH