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Showing 2 results for Technical Efficiency

A Pourreza, Gh Goudarzi, H Azadi,
Volume 7, Issue 4 (2-2010)
Abstract

Background and Aim: The hospital is considered as the biggest and the most costly unit of a health care system. Therefore, paying full attention to its cost efficiency is very important. The objective of this study was to assess the technical efficiency of hospitals affiliated with Tehran University of Medical Science by data envelopment analysis method.

Materials and Methods: Technical efficiency in hospitals affiliated with Tehran University of Medical Sciences was assessed by Data Envelopment Analysis (DEA) from 1996 to 2006. The input-oriented form of variable return-to-scale (VRS) was used to collect the data using 4 inputs (number of beds, nursing staff, medical personnel, and other personnel) and 4 outputs (outpatient admissions, hospitalized-patient days, bed occupations, and the number of surgical operations performed). The software used for data analysis was Deap 2.1.

Results: The DEA results indicate that: 1.There is a potential to improve the hospital technical efficiency by 3 % (the mean technical efficiency of the hospitals was 0.972) 2. Constant return-to-scale (CRS) exists in the production process, meaning that production in the hospitals is at its optimum level 3. Hospital services have suffered from extra production factors, especially human resources (specifically the nursing staff).

Conclusion: With proper planning, limiting the number of personnel can reduce greatly health care costs and hospital expenditures. It is suggested to conduct studies to determine the effects of the quality of services delivered in hospitals and patient satisfaction on hospital technical efficiency.


Hamid Sepehrdust, Elham Rajabi,
Volume 10, Issue 3 (1-2013)
Abstract

Background and Aim: Hospitals as one of the major institutions providing health care services within the health sector utilize a high percentage of the sector's key resources to respond to the needs of consumers. The aim of the present study was to identify factors affecting technical, scale and management efficiency of the Social Security Organization (SSO) hospitals during the period 2007-2009 and find ways to improve the efficiency of inefficient hospitals.
Materials and Methods:
A total of 65 SSO hospitals active during the period 2007-2009 were included in the study. Data envelopment analysis was used assuming constant return to scale of production (CRS). To distinguish between management and scale efficiency of hospital units, the study used input-oriented model (BCC) assuming variable return to scale (VRS).
Results: The findings showed that small hospitals with less than, and large hospitals with more than, 100 active beds have 11% and 8.8% surplus inputs, respectively, the surplus inputs being medical and nursing staff, other personnel, as well as active beds for hospital services. In addition, the impact factors of medical staff, nursing staff, other personnel, and active beds were 24%, 9.8%, 11.7% and 16.8% for small hospitals' efficiency and 25.7%, 18%, 21.7% and 30.7% for large hospitals' efficiency, respectively..
Conclusion: Considering the average scale and management scores derived for efficiency measurement, it is recommended that the Social Security Organization hospitals reduce their surplus costs and increase their output products and services to achieve the optimum level of efficiency.

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