Journal of

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Background: The aim of this research was to measure and compare relative efficiency of general hospitals under supervision of Mashhad University of Medical Sciences (MUMS). The study also seek to investigate the likely relationship between the official evaluating scores reported by MUMS with findings of this study.
Materials & Methods: Data Envelopment Analysis (DEA) is utilized to determine relative efficiency of individual decision making units (DMUs). From state-run general hospitals in this study, 17 were selected based on the criteria suggested by the model. To distinguish efficient hospitals from inefficient ones, revised input-based BCC model was used incorporating ‘number of physicians' and ‘number of nurses' as inputs. Outputs were set as ‘the rate of inpatient days to staffed beds', ‘outpatient visits' and ‘number of surgeries' reported both at emergency and wards.
Results: The findings based on both CRS and VRS simulations indicate that the mean of technical efficiency was 0.823, mean managerial efficiency was 0.931 and subsequently mean scale efficiency was 0.881. It was further noticed that, there was no significant relationship between the performance appraisal outcomes from DEA model, and scores allocated to each hospital through official evaluation system.
Conclusion: Current official appraisal system based on pre-defined checklists may not be a reliable mean for evaluating and ranking efficiency of general hospitals.

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  Background : All managers want to improve their organization 's efficiency . The purpose of this paper In addition to the asses the efficiency of Hospital during the time, is trying to answer to this question that, is the recruitment of new personnel able to increase hospital efficiency?

  Materials & Methods : In this sectional study, the relative efficiency of Imam Khomeini Hospital in Arak during the thirty-one months Since April 2011 to November 2013 (16 months before and 15 months after the recruitment) by input-oriented DEA method with five inputs and five outputs and with considering each month as a decision making unit, was calculated by DEAP 2.1 software. Then, the efficiency scores during the two stages, once for sixteen months, and once for a total of thirty one month separately by Mann - Kendall test via Minitab 16 software was analyzed and the most important event in the hospital during the study period, was asked from hospital authorities.

  Results: Most inputs and outputs of hospital have increased. The efficiency of the last eight months was equal to one . In addition, the efficiency of eleventh month was lower. The value of z_s for first sixteen months and for a total of thirty-one months -0.55769 and 2.05318, respectively calculated .

Conclusion: Trend analysis of the efficiency Scores showed that simultaneously with the recruitment of new personnel without reports of other influential factors, Hospital efficiency has significantly improved.