Technical efficiency of iranian medical-services insurance organization using data envelopment analysis approach
Background: Performance evaluation is one of the most important topics in management literature. There is a variety of criteria for such an evaluation including efficiency, effectiveness, and quality assessment. Meanwhile, efficiency is a current criterion with a different method of measurement. Objectives: Iran's Medical-services Insurance Organization (IRI- MSIO) is one of the major financial health institutions nationwide which, in this paper, has been studied to model its technical efficiency. Methods and material: This study was descriptive-practical. Technical efficiency of 31 provincial offices of MSIO was determined by using Data Envelopment Analysis (DEA). The information (2010 data) was constructed through the forms designed by researchers from Information center of IRI-MSIO. The efficiency of provincial offices was surveyed by MSIO-experts and classified the provincial offices. Differences between groups of technical efficiency were evaluated with ANOVA and Kruskall-Wallis Tests. Results: Total average technical efficiency of all provincial offices of MSIO was 0.513. The estimation of province-efficiency was surveyed by MSIO-experts who, with regard to environmental factors influencing the efficiency of MSIO, classified the provincial offices into four groups (Kruskall-Wallis Tests: (P<0.001). Conclusion: Input-oriented BCC model to be the optimal efficiency measurement for IRI-MSIO. Based on the impact of efficiency environmental factors (access to services and overhead refers indices), the MSIO provincial offices can be classified into four main groups. Therefore, in order to increase the efficiency of MSIO in national level it is suggested to consider this classification as an on-factor in the referral system to delivery of medical services.