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Performance Evaluation of The District's Primary Health Care System (DPHCS); Case Study Of Southeastern Iran


 Background: Managers need to measure and evaluate the performance of their subordinates in order to plan, organize, and improve the performance of their organizations. In this study, the performance and efficiency of the district's primary health care system in the southeast of Iran were evaluated using the data envelopment analysis (DEA) model.Methods: The quantitative non-parametric data envelopment analysis was used to evaluate the performance of the primary care system in the districts. On the hand, human forcess, physical facilities, and vehicles were the variables used as the inputs, and the number of services and service recipients was considered as the outputs to measure efficiency. The data were analyzed using the DEAP software, and performance and efficiency were calculated with the output maximization approach and the assumption of variable returns to scale. It was carried out as linear programming with nine scenarios for nine districts in 2018.Results: The mean efficiency of the studied districts with the assumption of variable returns to scale was 0.76, indicating at least 24% capacity to increase efficiency in the primary care system of Kerman University of Medical Sciences without any increase in production factors. According to the mean values, Kerman and Kuhbanan were efficient while the other 7 districts were inefficient. The districts were divided into three groups: efficient, moderately efficient, and inefficient. Accordingly, the most inefficient primary health care systems were those of Shahr-e Babak, Baft, and Orzooieh.Conclusion: The results of this study showed inefficiency in most primary health care systems of the studied districts, indicating that primary care managers can provide more health services to the community through proper management of available resources. Inefficient districts can compare themselves with successful and reference districts and eliminate their shortcomings in order to improve their performance.