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Volume 7, Issue 3 (Autumn 2021)                   JMIS 2021, 7(3): 69-77 | Back to browse issues page


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Ghahremanlo M, Hasani A A, Forati H. A model for productivity evaluation of hospital units based on data envelopment analysis and fuzzy best-worst. JMIS 2021; 7 (3) :69-77
URL: http://jmis.hums.ac.ir/article-1-302-en.html
Department of public Administration, Payame Noor University, Tehran, Iran.
Abstract:   (2557 Views)
Introduction:   Today, there isgap between the potential of the health system and its current performance, which justifies the need to a performance appraisal model for the health sector. The purpose of this study is to provide a comprehensive performance evaluation model for assessing the performance of hospitals.
Methods:   For this purpose, 12 hospitals under the supervision of Tehran University of Medical Sciences have been selected as a case study. The fuzzy best-worst method was used to identify the criteria for assessing hospital performance based on expert opinions. The productivity of each hospital unit was calculated using the established criteria. The data research from the Tehran University of Medical Sciences statistical yearbook were collected during the years 2012 to 2016.
The present study is applied in terms of purpose and based on the nature of the data, it is a quantitative research based on mathematical planning. This research was conducted in 1398 and was conducted in GAMS software.
Results:   The results show that Farabi Hospital, Roozbeh Psychiatry and Baharlo Hospital have the highest levels of efficacy, respectively and Arash Hospital, Farabi Hospital and Ziaeean Hospital have the highest rate of Effectiveness, respectively and Farabi Hospital, Arash Hospital and Ziaeean Hospital have the highest rates of Productivity during the Study period, respectively.
Conclusion:   Also the efficiency, effectiveness, and productivity scores of most hospitals fluctuated and did not have a growing trend. This indicates that although most hospitals sought to improve the quality of their services, they needed to take more serious steps.
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Type of Study: Research | Subject: Special
Received: 2021/05/1 | Accepted: 2021/10/31 | Published: 2021/10/2

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