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Repository of Research and Investigative Information

Shahid Sadoughi University of Medical Sciences

Investigating the effect of health transformation plan on the public hospitals performance indicators; a case study from Iran

(2021) Investigating the effect of health transformation plan on the public hospitals performance indicators; a case study from Iran. BMC Health Services Research.

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Abstract

Background: Health systems need constant changes and reforms in their structure to adapt to changing conditions and meet the needs of society. One of the fundamental changes in the health system of Iran is the health transformation plan (HTP), the effects of which must be examined from different aspects. Therefore, the purpose of this study is to investigate the effect of HTP on the performance indicators of public hospitals in Yazd city, Iran. Methods: This cross-sectional study was carried out in all public hospitals in city of Yazd. Six performance indicators were examined monthly and in two time periods of 12 months before and 12 months after the implementation of Health Transformation Plan (HTP). The data was analyzed by SPSS software program version 22, using the paired T-test, and the Interrupted Time Series (ITS) model. Findings: Findings showed that the performance indicators of the studied hospitals have improved after the implementation of the HTP. According to the ITS model, the implementation of HTP did not have a significant effect on the level and trend of the bed rotation distance, average length of stay and the ratio of surgical operations to bed indicators. However, it had a statistically significant effect on the level and trend of mortality and hospitalization rates. Moreover, the implementation of HTP had a significant effect on the level of the bed occupancy rate, but did not have a significant effect on the trend of this indicator. Conclusion: Based on the research findings, all the selected indicators changed to some extent after the implementation of HTP, which showed the effect of this plan on the performance of hospitals. However, not all indicators were statistically significant as the findings sub-section revealed. © 2021, The Author(s).

Item Type: Article
Keywords: article; cross-sectional study; data analysis software; hospital bed utilization; hospitalization; human; Iran; length of stay; mortality; performance indicator; public hospital; rotation; time series analysis; epidemiology; health care planning; health care policy; Iran; public hospital, Cross-Sectional Studies; Health Care Reform; Health Planning; Hospitals, Public; Humans; Iran
Journal or Publication Title: BMC Health Services Research
Volume: 21
Number: 1
Depositing User: ms soheila Bazm
URI: http://eprints.ssu.ac.ir/id/eprint/12093

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