Hospitals Productivity Measurement Using Data Envelopment Analysis Technique
نویسندگان
چکیده
BACKGROUND This study aimed to measure the hospital productivity using data envelopment analysis (DEA) technique and Malmquist indices. METHODS This is a cross sectional study in which the panel data were used in a 4 year period from 2007 to 2010. The research was implemented in 12 teaching and non-teaching hospitals of Ahvaz County. Data envelopment analysis technique and the Malmquist indices with an input-orientation approach, was used to analyze the data and estimation of productivity. Data were analyzed using the SPSS.18 and DEAP.2 software. RESULTS Six hospitals (50%) had a value lower than 1, which represents an increase in total productivity and other hospitals were non-productive. the average of total productivity factor (TPF) was 1.024 for all hospitals, which represents a decrease in efficiency by 2.4% from 2007 to 2010. The average technical, technologic, scale and managerial efficiency change was 0.989, 1.008, 1.028, and 0.996 respectively. There was not a significant difference in mean productivity changes among teaching and non-teaching hospitals (P>0.05) (except in 2009 years). CONCLUSION Productivity rate of hospitals had an increasing trend generally. However, the total average of productivity was decreased in hospitals. Besides, between the several components of total productivity, variation of technological efficiency had the highest impact on reduce of total average of productivity.
منابع مشابه
Military hospitals efficiency evaluation: Application of Malmquist Productivity Index-Data Envelopment Analysis
The purposed-the main purpose of this study is to look at the development of efficiency and productivity in the military hospital sector of Tehran province, by applying a nonparametric method. Design/methodology/approach- The study applied the nonparametric method to assess the efficiency of military hospitals service in Iran, Tehran, over the period 2013-2016. Utilizing non-parametric me...
متن کاملAn efficiency measurement model in fuzzy environments, using data envelopment analysis
Data Envelopment Analysis (DEA) is a technique used to compare efficiency in various sectors such as hospitals, chain stores, and dealerships. It represents a set of linear programming techniques and uses deter-ministic data (inputs and outputs), in stable conditions. The DEA technique cannot be used when there is data with indeterministic nature, or when there is an environment with dynamic co...
متن کاملEstimation of Technical Efficiency of General Hospitals of Kerman University of Medical Sciences by Data Envelopment Analysis (DEA) Method in 2007
Background & Aims: Hospitals as the largest and most costly operational units in health care system have special importance. The rate of their efficiency can be used as a criterion for the measurement of performance and productivity of resource consumption in hospitals. The purpose of this study was to determine the technical efficiency of general hospitals of Kerman University of Medical Scien...
متن کاملA study on efficiency and productivity of Indian non-life insurers using data envelopment analysis
This paper talks about the measurement of efficiency and productivity of non-life insurance firms in India. This study is focused on twelve private non-life insurance firms and four public sector non-life insurance firms of India in the period 2008-09 to 2012-13. Data Envelopment Analysis (DEA) coupled with Malmquist productivity Index is used in measuring the efficiency as well as productivity...
متن کاملMeasuring Productivity Changes of Hospitals in Tehran: The Fuzzy Malmquist Productivity Index
Background and Objectives: The purpose of this paper is to suggest a novel method to measure the productivity changes of hospitals over time in the presence of linguistic variables along with fuzzy data. Methods: Applying the popular and applicable approaches including data envelopment analysis (DEA), Malmquist productivity index (MPI) and possibilistic progra...
متن کامل