Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment Analysis

<strong>Introduction:</strong> Hospitals are regarded as the largest and most expensive operational units of the health system. Also, bed is one of the most valuable hospital resources. Due to the limited resources of the health system, paying attention to efficient resource allocation i...

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Main Authors: Mohammad Bastani, Saeedeh Ketabi, Reza Maddahi, Roya M.Ahari
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2020-01-01
Series:Journal of Health Management & Informatics
Subjects:
Online Access:http://jhmi.sums.ac.ir/article_46629_4cdfac53d351dd312461f9918bda0bb2.pdf
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spelling doaj-8641f869e18c46b3a794df3d84bda5fc2020-11-25T03:10:40ZengShiraz University of Medical SciencesJournal of Health Management & Informatics2322-10972423-58572020-01-0171596746629Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment AnalysisMohammad Bastani0Saeedeh Ketabi1Reza Maddahi2Roya M.Ahari3Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, IranDepartment of Management, University of Isfahan, Isfahan, IranDepartment of Mathematics, Najafabad Branch, Islamic Azad University, Najafabad, IranDepartment of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran<strong>Introduction:</strong> Hospitals are regarded as the largest and most expensive operational units of the health system. Also, bed is one of the most valuable hospital resources. Due to the limited resources of the health system, paying attention to efficient resource allocation is necessary. This study aimed to allocate common beds to hospitals to optimize their overall efficiency. <strong>Methods:</strong> This  is a cross-sectional and applied study. 70 Iranian hospitals affiliated to  social security organizations were examined. The required data were collected from the statistical yearbook of this organization (2016). A centralized data envelopment analysis model with an input-orientation approach was used to assess the performance and bed reallocation to hospitals. The input data consist of the number of active beds, and the output data consist of bed occupancy rate, average patient stay, and survival of patients in thousand. Hospitals were clustered by k‐means clustering method for analysis. The data were analyzed by GAMS and SPSS softwares. <strong>Results:</strong> Hospitals were clustered into 4 groups of homogenous units. Based on this clustering, the number of hospitals in clusters 1 to 4 was 23, 2, 13, 32, and the overall efficiencies of them were 0.703, 1, 0.827, and 0.732, respectively. Before bed reallocation, 13(18.6%) hospitals were efficient. After bed reallocation by Centralized data envelopment analysis, 31(44.3%) hospitals became efficient. <strong>Conclusion:</strong> It  seems that the active bed factor can be one of the inputs influencing  the overall efficiency of hospitals. However, in this regard, inclusive attention to other resources such as physicians and nurses will be necessary to achieve desirable hospital efficiency. <strong> </strong>http://jhmi.sums.ac.ir/article_46629_4cdfac53d351dd312461f9918bda0bb2.pdfcentralized data envelopment analysis (cdea)efficiencyhospitalk‐means method
collection DOAJ
language English
format Article
sources DOAJ
author Mohammad Bastani
Saeedeh Ketabi
Reza Maddahi
Roya M.Ahari
spellingShingle Mohammad Bastani
Saeedeh Ketabi
Reza Maddahi
Roya M.Ahari
Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment Analysis
Journal of Health Management & Informatics
centralized data envelopment analysis (cdea)
efficiency
hospital
k‐means method
author_facet Mohammad Bastani
Saeedeh Ketabi
Reza Maddahi
Roya M.Ahari
author_sort Mohammad Bastani
title Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment Analysis
title_short Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment Analysis
title_full Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment Analysis
title_fullStr Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment Analysis
title_full_unstemmed Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment Analysis
title_sort efficient resource allocation to social security organization hospitals in iran by using centralized data envelopment analysis
publisher Shiraz University of Medical Sciences
series Journal of Health Management & Informatics
issn 2322-1097
2423-5857
publishDate 2020-01-01
description <strong>Introduction:</strong> Hospitals are regarded as the largest and most expensive operational units of the health system. Also, bed is one of the most valuable hospital resources. Due to the limited resources of the health system, paying attention to efficient resource allocation is necessary. This study aimed to allocate common beds to hospitals to optimize their overall efficiency. <strong>Methods:</strong> This  is a cross-sectional and applied study. 70 Iranian hospitals affiliated to  social security organizations were examined. The required data were collected from the statistical yearbook of this organization (2016). A centralized data envelopment analysis model with an input-orientation approach was used to assess the performance and bed reallocation to hospitals. The input data consist of the number of active beds, and the output data consist of bed occupancy rate, average patient stay, and survival of patients in thousand. Hospitals were clustered by k‐means clustering method for analysis. The data were analyzed by GAMS and SPSS softwares. <strong>Results:</strong> Hospitals were clustered into 4 groups of homogenous units. Based on this clustering, the number of hospitals in clusters 1 to 4 was 23, 2, 13, 32, and the overall efficiencies of them were 0.703, 1, 0.827, and 0.732, respectively. Before bed reallocation, 13(18.6%) hospitals were efficient. After bed reallocation by Centralized data envelopment analysis, 31(44.3%) hospitals became efficient. <strong>Conclusion:</strong> It  seems that the active bed factor can be one of the inputs influencing  the overall efficiency of hospitals. However, in this regard, inclusive attention to other resources such as physicians and nurses will be necessary to achieve desirable hospital efficiency. <strong> </strong>
topic centralized data envelopment analysis (cdea)
efficiency
hospital
k‐means method
url http://jhmi.sums.ac.ir/article_46629_4cdfac53d351dd312461f9918bda0bb2.pdf
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