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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 fr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Electronic physician
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4821320/ https://www.ncbi.nlm.nih.gov/pubmed/27054014 http://dx.doi.org/10.19082/2025 |
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author | Rezaei, Satar Zandian, Hamed Baniasadi, Akram Moghadam, Telma Zahirian Delavari, Somayeh Delavari, Sajad |
author_facet | Rezaei, Satar Zandian, Hamed Baniasadi, Akram Moghadam, Telma Zahirian Delavari, Somayeh Delavari, Sajad |
author_sort | Rezaei, Satar |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4821320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Electronic physician |
record_format | MEDLINE/PubMed |
spelling | pubmed-48213202016-04-06 Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method Rezaei, Satar Zandian, Hamed Baniasadi, Akram Moghadam, Telma Zahirian Delavari, Somayeh Delavari, Sajad Electron Physician Original Article 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. Electronic physician 2016-02-25 /pmc/articles/PMC4821320/ /pubmed/27054014 http://dx.doi.org/10.19082/2025 Text en © 2016 The Authors This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Original Article Rezaei, Satar Zandian, Hamed Baniasadi, Akram Moghadam, Telma Zahirian Delavari, Somayeh Delavari, Sajad Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method |
title | Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method |
title_full | Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method |
title_fullStr | Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method |
title_full_unstemmed | Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method |
title_short | Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method |
title_sort | measuring the efficiency of a hospital based on the econometric stochastic frontier analysis (sfa) method |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4821320/ https://www.ncbi.nlm.nih.gov/pubmed/27054014 http://dx.doi.org/10.19082/2025 |
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