Downloaded from irje.tums.ac.ir at 8:45 IRDT on Friday September 21st 2018

Transcript

1 .57 :( ) 5 95 Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st 8 9 () : :. alidarvishieco@gmail.com : 5 : 95// : 95// : :.. :. VRS. 9.. :. /9... :..(,).()...(5) :.().

2 /.(),).(...(7).. () ٢.(7)..() 9 8.(8) 9 Data envelopment analysis Farrell /.(9) ٣ (5) ٤ ٥ () ٦ ٧ (997) ٨ (5).()...() Gannon Mortimer 5 Peacock Parkin 7 Hollingsworth 8 Osei Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st 8

3 () 9 7/ ().....() (VRS). (). () Max : Ө, ӨY i + Yλ X i X λ N I λ = λ K M N () X K*N Y M*N. ) Ө ( Ө λ N*... ) (.. ) (.. ٢ ٣.. ) (.... Factor analysis Andersonpeterson rating model Super efficiency Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st 8

4 /8 Excel. Stata Deap.. EMS. Stata.. 9. /9. 9. /97. /9 9. EMS. Efficiency Measurement System.. Ө /58 /.. (Pvalue=.7) (Pvalue=.7) (Pvalue=.). Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st 8

5 9/ 9 () Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st 8 (VRS) ٠/٩٨۴ ٠/٩٧٧ ٠/٩٩٨ ٠/٨٧٢ ٠/٨٧٢ ٠/٨٨٩ ٠/٩۴٢ ٠/٨٨ ٠/٨۶۵ ٠/٨۶٣ ٠/٨٨ ٠/٨٩٨ /95 ٠/٩٨ ٠/٩٧٢ ٠/٨٧٧ ٠/٩٩ ٠/٨٨۶ ٠/٨٧٨ ٠/٨۵۵ ٠/٨٢۵ /97 ٠/٩٨۴ ٠/٩٧٧ ٠/٩٧ ٠/٨٧٢ ٠/٨٧٢ ٠/٨۶۴ ٠/٨٢٧ ٠/٨ ٠/٧۶۶ ٠/٧۵٨ ٠/٧۵۴ ٠/٧۴ / *

6 /7 EMS () () /8 Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st /9 7/7 75/ 7/5 78/58 78/89 79/8 8/9 8/9 8/7 8/9 88/88 9/ 9/5 98/ 98/98 99/9 99/ ( / ) ( / 5) ( / ) / ( / ) ( / 7) ( / ) ( / 88) ( / 9) / ( / 5) ( / ) ( / 9) ( / ) ( / ) 9/ ( 5 / 8) ( / 9) ( / 8) ( / ) / ( / ) ( / 8) /7 ( / 58) ( / ) 5/7 5 ( / ) ( / ) ( / ) /98 ( / ) ( / 8) ( / ) ( / ) /7 7 ( / 5) ( / ) /8 8 ( / 7) ( / ) ( / ) ( / 5) ( / 5) ( / 8) /9 9 ( / 8) ( / 8) ( / ) /9 ( / 9) ( / ) ( / 7) ( / ) ( / 5) /9

7 () 9 7/ (5) 9 8.() (7). 9 /98 /9.(9) (8) /. 8.(9) Kirigia Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st 8

8 /7 Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st Gans J, King S, Stonecash R, Mankiw NG. Principles of economics. Australia: Cengage Learning,.. Meybodi AE. The principals of measuring the efficiency and productivity. Tehran: Studies and commercial researches institute publication,.. Rashidian A, Jahanmehr N, Pourreza A, Majdzadeh S, Goudarzi R. Evaluating Performance of Medical Universities in Iran during to 7: a Technical Efficiency Study. Hakim Research Journal. ; : Salvatore D. Microeconomics: theory and applications.new York: OUP Catalogue, Kazemi A. productivity analysis in organizations. Tehran: Samt,.. Liu C, Laporte A, Ferguson BS. The quantile regression approach to efficiency measurement: insights from Monte Carlo simulations. Health economics 8;7: Mehregan M. Quantitative performance evaluation model in organizations. Iran: Tehran University, Ghasemi S, Rjabi Gilan N, Soofi M, Goudarzi R. Measuring the Technical Efficiency of Kermanshah University of Medical Sciences Hospitals, Using Data Envelopment Analysis Method (): 5 (Nonparametric Approach). Journal of Rafsanjan University of Medical Sciences. 5; : Askari R, Farzianpour F, Goudarzi R, Shafii M. Efficiency evaluation of hospitals affiliated with Yazd University of Medical Sciences using quantitative approach of Data Envelopment Analysis in the year to. Pensee Journal. ; : 5.. Gannon B. Total factor productivity growth of hospitals in Ireland: a nonparametric approach. Applied Economics Letters. 8; 5: 5.. Mortimer D, Peacock S. Hospital efficiency measurement: simple ratios vs frontier methods.pennnsylvanya: Citeseer;.. Osei D, d'almeida S, George MO, Kirigia JM, Mensah AO,.. Kainyu LH. Technical efficiency of public district hospitals and health centres in Ghana: a pilot study. Cost Effectiveness and Resource Allocation. 5; :.. Parkin D, Hollingsworth B. Measuring production efficiency of acute hospitals in Scotland, 999: validity issues in data envelopment analysis. Applied Economics. 997; 9: 5.. Sepehrdoust H, Rajabi E. Factors Effective on Technical Efficiency and Ranking of Efficient Units in Social Security Hospitals. Director General. ; 9: Sepehrdust H, Rajabi E. Technical Efficiency Measurement of Social Security Hospitals. Journal of School of Public Health and Institute of Public Health Research. ; : 99.. Hatam N, Pourmohammadi K, Bastani P, Javanbakht M. Using parametric methods in hospital efficiency measurement: a case study in hospitals affiliated to social security and welfare ministry. Razi Journal of Medical Sciences. ; : Afzali HHA, Moss JR, Mahmood MA. A conceptual framework for selecting the most appropriate variables for measuring hospital efficiency with a focus on Iranian public hospitals. Health Services Management Research. 9; : Kirigia JM, Emrouznejad A, Sambo LG. Measurement of technical efficiency of public hospitals in Kenya: using data envelopment analysis. Journal of Medical Systems. ; : Sheikhzadeh Y, Roudsari AV, Vahidi RG, Emrouznejad A, Dastgiri S. Public and private hospital services reform using data envelopment analysis to measure technical, scale, allocative, and cost efficiencies. Health Promot Perspect. ; : 8.

9 7/ 9 () Downloaded from irje.tums.ac.ir at 8:5 IRDT on Friday September st 8 Iranian Journal of Epidemiology 7; (5), Special Issue (Efficiency and financial protection in the Health system of Iran): 57. Original Article Performance Assessment of Provincial Units of Social Security Organization in Indirect Health Services Sector using Method in Goudarzi R, Mehrolhassani MH, Dehnavieh R, Darvishi A Assistant Professor in Health Economics, Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran Associate Professor in Health Services Management, Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran Associate Professor in Health Services Management, Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran MSc in Health Economics, Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran Corresponding author: Darvishi A, alidarvishieco@gmail.com Background and Objectives: Efficiency measurement can be used for all decisionmakers and planners for useful resource allocation. Social Security Organization as a health service provider, provides part of health care services in indirect sector. This study aimed to assess the performance of provincial units of Social Security Organization in the indirect health services sector. Methods: This descriptive analytical study was conducted based on the available data of Social Security Organization in. To assess efficiency and superefficiency, the VRS and AndersonPeterson rating model were used, respectively. Factors affecting the efficiency was evaluated using multivariate regression. Results: The primary efficacy analysis showed that % of the provincial units of Social Security had maximum efficiency. Average efficiency was.9. After superefficiency analysis, it was found that Markazi and Kerman provincial units were the most efficient and the most inefficient units, respectively. Additionally, none of the variables had a significant impact on the efficiency. Conclusion: Evaluation of the general performance of provincial units reflected the good state of technical efficiency in the indirect health service sector. On the other hand, the scale efficiency of inefficient units compared with managerial efficiency had a higher share of inefficiency. Optimum performance can be achieved through modification of managerial practices for optimal utilization of resources and factors. Keywords: Efficiency, Data envelopment analysis, Indirect health sector, Security organization