Comparison of Technical Efficiency of Hospitals Affiliated to Shahid Sadoughi University of Medical Sciences before and after Executing Health Reform Plan

Hospitals are one of the greatest and most costly operational units of the health system and a study on its performance may be a criterion for operation and efficiency assessment of its resource consumption. The present study was done in 2017 with the purpose of assessing technical efficiency of the selected hospital under the coverage of Yazd University of Medical Sciences using Data Envelopment Analysis (DEA) in context of Health Reform Plan.

This research is a descriptive-analytical study was done in 2017. In this research in order to determine assessing the efficiency of Yazd University of Medical Sciences hospitals, 10 hospitals affiliated with this university were chosen. To collect data the information collection form including specifications of hospital as well as input and output index is used and the data before and after executing Health Reform Plan were collected and compared. The input-oriented DEA method is used for estimating technical efficiency of hospitals and data analysis is done by DEAP software and two-sample paired-t test SPSS21.

The average of hospitals that have been studied before and after the reform plan is 0.985 and 0.990 respectively. In management efficiency, it is respectively 0.986 and 0.992 before and after the reform plan and the efficiency average of the hospital's scale before and after executing the health reform plan is respectively 0.999 and 0.997. There is no meaningful relationship observed between hospitals' efficiency grades before and after the reform plan in these three technical, management and scale types of efficiency (P-value > 0.05).

According to results we could say the efficiency of the hospitals was not so affected by reform plan. It is recommended to assess the efficiency of the Stochastic Frontier Analysis (SFA) method on a linear basis in addition to identifying indexes that are effective in efficiency of hospitals.