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- Title
Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method.
- Authors
Rezaei, Satar; Zandian, Hamed; Baniasadi, Akram; Moghadam, Telma Zahirian; Delavari, Somayeh; Delavari, Sajad
- Abstract
Introduction: Hospitals are the most expensive health services provider in the world. Therefore, the evaluation of their performance can be used to reduce costs. The aim of this study was to determine the efficiency of the hospitals at the Kurdistan University of Medical Sciences using stochastic frontier analysis (SFA). Methods: This was a cross-sectional and retrospective study that assessed the performance of Kurdistan teaching hospitals (n = 12) between 2007 and 2013. The Stochastic Frontier Analysis method was used to achieve this aim. The numbers of active beds, nurses, physicians, and other staff members were considered as input variables, while the inpatient admission was considered as the output. The data were analyzed using Frontier 4.1 software. Results: The mean technical efficiency of the hospitals we studied was 0.67. The results of the Cobb-Douglas production function showed that the maximum elasticity was related to the active beds and the elasticity of nurses was negative. Also, the return to scale was increasing. Conclusion: The results of this study indicated that the performances of the hospitals were not appropriate in terms of technical efficiency. In addition, there was a capacity enhancement of the output of the hospitals, compared with the most efficient hospitals studied, of about33%. It is suggested that the effect of various factors, such as the quality of health care and the patients' satisfaction, be considered in the future studies to assess hospitals' performances.
- Subjects
IRAN; ACADEMIC medical centers; LABOR productivity; MEDICAL care; MEDICAL quality control; PATIENT satisfaction; CROSS-sectional method; RETROSPECTIVE studies; DATA analysis software; DESCRIPTIVE statistics
- Publication
Electronic Physician, 2016, Vol 8, Issue 2, p2025
- ISSN
2008-5842
- Publication type
Article
- DOI
10.19082/2025