TY - JOUR
T1 - Assessing the performance indicators of hospitals before and after the pandemic of COVID-19: A time series study from January 2019 to December 2021
AU - Rafiei, Sima
AU - Alizadeh, Ahad
AU - Kalhor, Rohollah
AU - Aryankhesal, Aidin
AU - Ghashghaee, Ahmad
PY - 2023/7
Y1 - 2023/7
N2 - 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.
AB - 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.
KW - Bed occupancy rate
KW - Bed turnover
KW - COVID-19 pandemic
KW - Interrupted time series
KW - Length of stay
UR - http://www.scopus.com/inward/record.url?scp=85171634123&partnerID=8YFLogxK
U2 - 10.30476/jhsss.2023.96777.1676
DO - 10.30476/jhsss.2023.96777.1676
M3 - Article
AN - SCOPUS:85171634123
VL - 11
SP - 649
EP - 656
JO - Journal of Health Sciences and Surveillance System
JF - Journal of Health Sciences and Surveillance System
SN - 2345-2218
ER -