The Evaluation of Relative Efficiency of Teaching Hospitals
- 1 ,
- 2 , Afganistan
Copyright: © 2020 Fereshteh Farzianpour, Shayan Hosseini, Tahera Amali, Shadi Hosseini and Sayed Shahab Hosseini. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Problem statement: The main purpose of applying practical and scientific ways to evaluate the hospital’s performance and activities the optimal use of physical facilities ‘technology and the present human power. One the scientific way used for this purpose is using economic analysis and tools one of which is to determining hospitals’ technical efficiency the present study tries to determine the efficiency of the use of resources in teaching hospitals. Approach: The present study is a survey one. First considering the type of the research, Decision Making Units (DMUs) of teaching hospitals of Tehran University of medical Sciences was chosen. Then‚ considering previous similar studies and surveying the experts, input variables (1) the number of the physicians (2) the number of practicing nurse in health facilities (3) the number of active beds) and output variables (1) the number of the inpatients (2). The number of the outpatients and (3) the average length of stay) were determined and the data needed were gathered. The results of the research were examined using GAMS software and the data were analysed. Considering the society under the research the suitable model to evaluate efficiency is CCR model. The evaluation was conducted based on both in input CCR model and in output orientation approach. The results of the two methods were compared and analysed. Results: The results of the study show that the average technical efficiency of the teaching hospitals of Tehran University of medical sciences in 2010‚ considering variable efficiency‚ was 0.958% and most of the teaching hospitals 56.29% were 100% efficient. Conclusion: Efficient managers of health and treatment centres using Data Envelopment Analysis (DEA) are able through controlling efficiency and production of the hospital to reduce the cost and devote more money to developing health-treatment cares.
- Data Envelopment Analysis (DEA)
- Decision Making Units (DMUs)
- Variable Return to Scale (VRS)
- evaluate efficiency
- controlling efficiency