The Influence of Hospital Urbanicity on Mortality in Patients With Acute Respiratory Failure: A National Cohort Retrospective Analysis.
disparity
hospital length of stay
mortality
respiratory failure
rural
urban
Journal
Respiratory care
ISSN: 1943-3654
Titre abrégé: Respir Care
Pays: United States
ID NLM: 7510357
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
pubmed:
23
9
2021
medline:
30
11
2021
entrez:
22
9
2021
Statut:
ppublish
Résumé
The primary objective of this study was to employ a national database to evaluate the association of hospital urbanicity, urban versus rural, on mortality and length of hospital stay in patients hospitalized with acute respiratory failure. We used the 2014 National Inpatient Sample database to evaluate the association of hospital urbanicity with (1) mortality and (2) prolonged hospital stay, defined as ≥ 75th percentile of the study population. We conducted a mixed-effects logistic regression analysis adjusting for sociodemographic variables and medical comorbidities. The random effect was hospital identification number (a unique value assigned in the NIS database for a specific institution). The odds ratio (OR), 95% CI, and The odds of inpatient mortality were significantly higher among urban teaching (OR 1.39, 95% CI 1.39-1.66, This study supports the current body of literature that there are significant differences in patient populations among hospital type. Differences in health outcomes among different types of hospitals should be considered when designing policies to address health equity as these are unique populations with specific needs.
Sections du résumé
BACKGROUND
BACKGROUND
The primary objective of this study was to employ a national database to evaluate the association of hospital urbanicity, urban versus rural, on mortality and length of hospital stay in patients hospitalized with acute respiratory failure.
METHODS
METHODS
We used the 2014 National Inpatient Sample database to evaluate the association of hospital urbanicity with (1) mortality and (2) prolonged hospital stay, defined as ≥ 75th percentile of the study population. We conducted a mixed-effects logistic regression analysis adjusting for sociodemographic variables and medical comorbidities. The random effect was hospital identification number (a unique value assigned in the NIS database for a specific institution). The odds ratio (OR), 95% CI, and
RESULTS
RESULTS
The odds of inpatient mortality were significantly higher among urban teaching (OR 1.39, 95% CI 1.39-1.66,
CONCLUSIONS
CONCLUSIONS
This study supports the current body of literature that there are significant differences in patient populations among hospital type. Differences in health outcomes among different types of hospitals should be considered when designing policies to address health equity as these are unique populations with specific needs.
Identifiants
pubmed: 34548408
pii: respcare.09003
doi: 10.4187/respcare.09003
pmc: PMC10408415
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1789-1796Subventions
Organisme : NIBIB NIH HHS
ID : R01 EB029751
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL144692
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2021 by Daedalus Enterprises.
Déclaration de conflit d'intérêts
The authors have no conflicts to disclose.
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