Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method
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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Electronic Physician
2016-02-01
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Series: | Electronic Physician |
Subjects: | |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4821320/ |
Summary: | 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. |
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ISSN: | 2008-5842 2008-5842 |