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Hakim 2017, 20(2): 85-92 |
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Emamgholipour S, Mohammadshahi M, Raei B, Radinmanesh M, Rahimnia R. Efficiency Measurement for Emergency department of Tehran University of Medical Science’s Hospitals by using additive super-efficiency method. Hakim 2017; 20 (2) :85-92
URL: http://hakim.tums.ac.ir/article-1-1775-en.html
URL: http://hakim.tums.ac.ir/article-1-1775-en.html
1- , mohamadshahi@razi.tums.ac.ir
Abstract: (4099 Views)
Efficiency Measurement for Emergency department of Tehran University of
Medical Science’s Hospitals by using additive super-efficiency method
Medical Science’s Hospitals by using additive super-efficiency method
Sara Emamgholipour (PhD)1, Marita Mohammadshahi (PhD Student)2*, Behzad Raei (PhD Student)3, Maryam Radinmanesh (PhD Student)4, Ramin Rahimnia (PhD Student)5
1 Associate Professor, PhD in economics, Department of Health Management and
Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
2 MS, PhD Student of Health Economics, Department of Health Management and Economics,
School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
3 MS, PhD Student of Health Economics, Department of Health Management and Economics,
School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
4 MS, PhD Student of Health Economics, School of health management and
information sciences, Iran University of Medical Sciences, Tehran, Iran.
5 MD, PhD student of Nano medicine, director of financial resources planning office, Vice chancellor of
management development resources planning, Tehran University of Medical Sciences, Tehran, Iran.
Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
2 MS, PhD Student of Health Economics, Department of Health Management and Economics,
School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
3 MS, PhD Student of Health Economics, Department of Health Management and Economics,
School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
4 MS, PhD Student of Health Economics, School of health management and
information sciences, Iran University of Medical Sciences, Tehran, Iran.
5 MD, PhD student of Nano medicine, director of financial resources planning office, Vice chancellor of
management development resources planning, Tehran University of Medical Sciences, Tehran, Iran.
Abstract
Introduction: The growth of health care costs due to the lack of financial resources justifies the need to evaluate the performance of various units via efficiency approaches. The aim of the present study was to determine the efficacy of the emergency unit of Tehran University of Medical Sciences’s hospitals by using an additive super efficient method and then compare it with the usual method of data envelopment analysis.
Methods: This was an analytical-descriptive study, which examined the performance of 16 hospital emergency departments of Tehran University of Medical Sciences. We calculated super efficiency and slacks of inputs and outputs for each hospital by assuming constant returns to scale and input-oriented model by using data for the year 2014-2015 via the DEA-Solver software.
Results: The results of Malmquist model showed that 8 departments had an efficiency of about 50%, although, with the high power of super efficiency approach, only 5 departments have efficiency. In other words about 33% of the departments have perfect performance. According to the calculated slacks, none of the departments had excess inputs, however, Razi and Rozbeh emergency departments had lack of outputs for
inpatient admission.
Conclusion: Identifying the amount of slack in different units will help managers and policymakers to decide on the optimal allocation of resources by using a superior efficient method to avoid waste of resources. Since the managers and policy makers need to assess the exact performance of hospitals in terms of strengths and weaknesses for inputs and outputs, using the super efficiency model, relative to Malmquist, will get more
exact results for decision making.
Key words: Super efficiency, Slacks, DEA, Emergency department
Methods: This was an analytical-descriptive study, which examined the performance of 16 hospital emergency departments of Tehran University of Medical Sciences. We calculated super efficiency and slacks of inputs and outputs for each hospital by assuming constant returns to scale and input-oriented model by using data for the year 2014-2015 via the DEA-Solver software.
Results: The results of Malmquist model showed that 8 departments had an efficiency of about 50%, although, with the high power of super efficiency approach, only 5 departments have efficiency. In other words about 33% of the departments have perfect performance. According to the calculated slacks, none of the departments had excess inputs, however, Razi and Rozbeh emergency departments had lack of outputs for
inpatient admission.
Conclusion: Identifying the amount of slack in different units will help managers and policymakers to decide on the optimal allocation of resources by using a superior efficient method to avoid waste of resources. Since the managers and policy makers need to assess the exact performance of hospitals in terms of strengths and weaknesses for inputs and outputs, using the super efficiency model, relative to Malmquist, will get more
exact results for decision making.
Key words: Super efficiency, Slacks, DEA, Emergency department
Please cite this article as follows:
Emamgholipour S, Mohammadshahi M, Raei B, Radinmanesh M, Rahimnia R. Efficiency Measurement for Emergency department of Tehran University of Medical Science’s Hospitals by using additive superefficiency method. Hakim Health Sys Res 2017; 20(2): 85- 92.
*Corresponding Author: Department of Health Economics and Management, School of Public Health, Tehran University of Medical Sciences, Poursina avenue, Tehran, Iran. Tel: +98-9171101452, E-mail: mohamadshahi@razi.tums.ac.ir
*Corresponding Author: Department of Health Economics and Management, School of Public Health, Tehran University of Medical Sciences, Poursina avenue, Tehran, Iran. Tel: +98-9171101452, E-mail: mohamadshahi@razi.tums.ac.ir
Type of Study: Original |
Received: 2018/02/4 | Accepted: 2018/02/4 | Published: 2018/02/4
Received: 2018/02/4 | Accepted: 2018/02/4 | Published: 2018/02/4
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