Assessing the performance indicators of hospitals before and after the pandemic of COVID-19: A time series study from January 2019 to December 2021

Rafiei, Sima, Alizadeh, Ahad, Kalhor, Rohollah, Aryankhesal, Aidin ORCID: https://orcid.org/0000-0002-6695-227X and Ghashghaee, Ahmad (2023) Assessing the performance indicators of hospitals before and after the pandemic of COVID-19: A time series study from January 2019 to December 2021. Journal of Health Sciences and Surveillance System, 11. pp. 649-656. ISSN 2345-2218

Full text not available from this repository. (Request a copy)

Abstract

Background: The pandemic of COVID-19 affect all healthcare systems globally, and its effect on different hospital performance indicators has been debated. The study aimed to compare the impacts of COVID-19 on hospital performance indicators using pre-and post-pandemic data from training hospitals. Methods: We conducted an observational cohort study of hospital performance indicators from two healthcare facilities affiliated with Qazvin University of Medical Sciences in the north-west of Iran. The R statistical software was used to analyze monthly data on three basic performance indicators, including bed turnover, average length of stay (LOS), and bed occupancy rate before and during the outbreak of Coronavirus disease-19 (COVID-19). Results: The pandemic had a remarkable effect on the level of bed turnover, the average length of stay (LOS), and the bed occupancy rate after one month from the COVID-19 outbreak (P<0.05). Moreover, regression results showed that after the pandemic, the first two mentioned indicators increased monthly at 108.18 and 0.15, respectively, while LOS decreased by 0.09 monthly (P<0.05). Conclusion: Based on the study findings, a significant decline in hospital occupancy rate and bed turnover was observed after one month since the beginning of the outbreak. This reduction was associated with a longer LOS. Using ITS in pandemics such as COVID-19 can evaluate the effect of various policies on outcome measures and help policymakers make effective decisions.

Item Type: Article
Uncontrolled Keywords: bed occupancy rate,bed turnover,covid-19 pandemic,interrupted time series,length of stay,medicine (miscellaneous),health(social science),health policy,public health, environmental and occupational health,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/2700/2701
Faculty \ School: Faculty of Medicine and Health Sciences > School of Health Sciences
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 28 Oct 2023 01:23
Last Modified: 26 Jun 2024 11:33
URI: https://ueaeprints.uea.ac.uk/id/eprint/93490
DOI: 10.30476/jhsss.2023.96777.1676

Actions (login required)

View Item View Item