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The impact of the COVID-19 pandemic on governmental hospitals performance indicators in city of Yazd, Iran: an interrupted time-series analysis
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The impact of the COVID-19 pandemic on governmental hospitals performance indicators in city of Yazd, Iran: an interrupted time-series analysis
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Journal Article
The impact of the COVID-19 pandemic on governmental hospitals performance indicators in city of Yazd, Iran: an interrupted time-series analysis
2025
Overview
Background
The Covid-19 pandemic stretched health systems globally including in Iran. Hospital demand and performance was affected both directly and indirectly as a result of the pandemic. Analyzing hospital indicators can provide insights to deal with the consequences and challenges related to various aspects of future pandemics.
Objective
This study aimed to investigate the impact of the Covid-19 pandemic on key performance indicators of public hospitals in Iran.
Methods
In this quasi-experimental study, we used time-series analysis to examine eight key indicators of hospital performance: number of outpatient visits, number of elective hospitalization, average length of stay, hospital mortality rate, number of surgeries, hospitalization rate, emergency visits, bed occupancy rate, and hospitals’ revenue. Data were extracted from four public hospitals in Yazd at two time intervals, 15 months before and after the outbreak of COVID-19. Data were analysed using interrupted time series analysis models with STATA
17
.
Results
Average length of stay (
p
= 0.02) and hospital mortality rate (
p
< 0.01) increased significantly following the outbreak of COVID-19, while the mean of other indicators such as number of outpatient visits (
p
< 0.01), number of elective hospitalization (
p
< 0.01), number of surgeries (
p
= 0.01), hospitalization rate (
p
< 0.01), emergency visits (
p
< 0.01) and bed occupancy rate (
p
< 0.01) decreased significantly. The Covid-19 pandemic had an immediately reverse significant impact on the level changes of “outpatient visits”, “elective hospitalization”, “hospitalization rate”, “emergency visits” and “bed occupancy rate” indicators (
p
< 0.05). Although the trend of surgeries indicator was affected significantly (
p
= 0.01) after the covid-19 outbreak.
Conclusion
We showed significant changes in most hospital indicators after the Covid-19 pandemic, reflecting the effect of this pandemic on the performance of hospitals. Understanding the impact of a pandemic on hospital indicators is necessary for decision-makers to effectively plan an effective pandemic response and to inform resource allocation decisions.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Bed Occupancy - statistics & numerical data
/ Business performance management
/ COVID-19
/ Elective Surgical Procedures - statistics & numerical data
/ Emergency Service, Hospital - statistics & numerical data
/ Hospitalization - statistics & numerical data
/ Hospitals, Public - standards
/ Hospitals, Public - statistics & numerical data
/ Humans
/ Interrupted Time Series Analysis
/ Iran
/ Length of Stay - statistics & numerical data
/ Medicine
/ Methods
/ Quality Indicators, Health Care - statistics & numerical data
/ Safety and security measures
/ Trends
