RT Journal Article
SR Electronic
T1 The Influence of Hospital Urbanicity on Mortality in Patients With Acute Respiratory Failure: A National Cohort Retrospective Analysis
JF Respiratory Care
FD American Association for Respiratory Care
SP respcare.09003
DO 10.4187/respcare.09003
A1 Brittany N Burton
A1 Suraj Trivedi
A1 Alexander Beletsky
A1 Ana Mitchell
A1 Emily Nasser
A1 Ulysses Cázares
A1 Maxime Cannesson
A1 Ulrich H Schmidt
A1 Rodney A Gabriel
YR 2021
UL http://rc.rcjournal.com/content/early/2021/09/21/respcare.09003.abstract
AB 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: 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 P values were reported for each independent variable.RESULTS: The odds of inpatient mortality were significantly higher among urban teaching (OR 1.39, 95% CI 1.39–1.66, P < .001) and urban nonteaching hospitals (OR = 1.39, 95% CI 1.26–1.52, P < .001) compared to rural hospitals. The odds of prolonged hospital stay were significantly higher among urban teaching (OR = 1.82, 95% CI 1.66–2.0, P < .001) and urban nonteaching compared to rural hospitals (OR = 1.50, 95% CI 1.36–1.65, P < .001).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.