assessment of hospitals efficiency by data envelopment analysis in ahvaz in 2006-2010
نویسندگان
چکیده
hospitals as the centers that consume the most resource of health system, based on their function have difference performance and efficiency. the purpose of this study was to assess the efficiency of ahvaz hospitals using data envelopment analysis (dea) method. this study is a descriptive-analytic study that assessed the efficiency of teaching and nonteaching hospitals in ahvaz using dea in 2006-2010. the input variables include the number of doctors, the number of nurses, and the number of beds. the output variables include inpatient bed occupancy, the number of surgeries, the number of outpatient, the number of inpatient, and length of stay. data was collected using standard forms that have been made by ministry of health and medical education. then data was analyzed by deap2 software and independent t-test, to compute the difference between the efficiency of hospitals. the mean of technical, scale and managerial efficiency in hospitals during the period of study were 0.740, 0.862 and 0.837 respectively. the mean of technical efficiency in teaching hospitals and nonteaching hospitals were 0.557 and 0.873 respectively. the results showed a significant difference between them. hospitals with technical efficiency level less than one had slack inputs and outputs. so they should decrease their inputs in order to achieve the expected optimal efficiency.
منابع مشابه
Efficiency of Centralized Structures in Data Envelopment Analysis Ratio Models
This paper investigates the centralized resource allocation with centralized structures by using the data envelopment analysis-ratio (DEA-R) models. To this end, it proposes a method to determine the resource allocation of centralized structures such that the ratio of inputs to outputs are minimized.
متن کاملThe directional hybrid measure of efficiency in data envelopment analysis
The efficiency measurement is a subject of great interest. The majority of studies on DEA models have been carried out using radial or non-radial approaches regarding the application of DEA for the efficiency measurement. This paper, based on the directional distance function, proposes a new generalized hybrid measure of efficiency under generalized returns to scale with the existence of both r...
متن کاملInterval efficiency assessment using data envelopment analysis
This paper studies how to conduct efficiency assessment using data envelopment analysis (DEA) in interval and/or fuzzy input–output environments. A new pair of interval DEA models is constructed on the basis of interval arithmetic, which differs from the existing DEA models handling interval data in that the former is a linear CCR model without the need of extra variable alternations and uses a...
متن کاملRobust efficiency in data envelopment analysis with VRS technology
One of the fundamental problems in the classic DEA is lack of ability to distinguish unit's performance scores that is considered as a disadvantage. Recently, Parkan et al. [9] tried to address this problem. They proposed to assess each unit both optimistic and pessimistic views are taken into account. In contrast to traditional evaluation, one index is considered for each unit based on the l...
متن کاملCost Efficiency Measures In Data Envelopment Analysis With Nonhomogeneous DMUs
In the conventional data envelopment analysis (DEA), it is assumed that all decision making units (DMUs) using the same input and output measures, means that DMUs are homogeneous. In some settings, however, this usual assumption of DEA might be violated. A related problem is the problem of textit{missing} textit{data} where a DMU produces a certain output or consumes a certain input but the val...
متن کاملTotal and Partial efficiency indexes in data envelopment analysis
Introduction: Data envelopment analysis (DEA) is a data-oriented method for measuring and benchmarking the relative efficiency of peer decision making units (DMUs) with multiple inputs and multiple outputs. DEA was initiated in 1978 when Charnes, Cooper and Rhodes (CCR) demonstrated how to change a fractional linear measure of efficiency into a linear programming format. This non-parametric app...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
jundishapur journal of health sciencesجلد ۴، شماره ۳، صفحات ۷۷-۸۷
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023