Volume 16, Issue 53 (10-2013)                   jha 2013, 16(53): 36-46 | Back to browse issues page

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Azar A, Valipour khatir M, Moghbel baerz A, Hasas yeganeh Y. Evaluation of Hospital Efficiency by Data Envelopment Analysis: Tehran University of Medical Sciences: 2009-2011) . jha. 2013; 16 (53) :36-46
URL: http://jha.iums.ac.ir/article-1-1305-en.html
1- . Professor of industrial management tarbiat modares university , azara@modares.ac.ir
2- PHD Student of Operations Research tarbiat modares university
3- Assistant Professor of industrial management tarbiat modares university
4- Assistant Professor of Accounting Allameh Tabataba’i University
Abstract:   (5602 Views)

  Introduction : Investing in health systems development, its impact on increasing labor productivity and production, the allocation of resources, and performance evaluation of hospitals, as the main operational unit, is very important. The purpose of this study was to evaluate the efficiency of Tehran University of Medical Sciences hospitals (TUMS) by Data Envelopment Analysis (DEA).

  Methods : This was an applied descriptive survey. In this study, relative efficiency of 22 hospitals were analyzed between 2009 and 2011. For this purpose, input-oriented DEA technique with the assumption of variable return to the scale was used. The necessary information was extracted from scientific documents, and the data related to input and output indices were collected from Vice Chancellor for Administration and Finance of TUMS. The collected data were then analyzed by DEA Solver.

  Results: The averages of efficiency in hospitals, during the years 2009-2011, were 0.865, 0.859, and 0.870, respectively. 63 percent of hospitals had constant return to scale, 27 percent had decreasing return to scale and 10 percent of them had increasing return to scale. Therefore, 90 percent of hospitals did not have the capacity to develop beyond the status quo. The amount of input for achieving efficiency and saving resources were also determined in inefficient hospitals.

  Conclusions: This research introduces a functional pattern to senior managers of the health sector, enabling them to have more accurate planning for capacity development and resource saving.


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Type of Study: Research | Subject: General
Received: 2013/04/21 | Accepted: 2013/11/19 | Published: 2013/11/19

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