[Comprehensive evaluation of performance of vaccination services based on game theory combinatorial
1National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Abstract:
Objective: To refine the indicator weights of performance evaluation tool for vaccination service and comprehensively evaluate the service performance of vaccination units in some provinces of China. Methods: A total of 156 vaccination units from six provinces of China were selected. A combined weighting method based on the game theory was applied to assign weights to the evaluation indicators of the performance of vaccination service. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to rank the vaccination service performance of each vaccination unit. Results: The results of the combined weighting showed that the subjective weighting ratio α1 was 44.20% and the objective weighting ratio α2 was 55.80%. Among the first-level indicators, the highest combined weighting was given to the operational performance (42.73), followed by the configuration performance (40.60). Among the secondary indicators, the three indicators of vaccination service, financial guarantee and human resource had the highest weights, which were 18.66, 16.88 and 11.68, respectively. TOPSIS analysis indicated that the relative closeness index of each province ranged from 0.45 to 0.51, and the vaccination units of Zhejiang Province showed the best immunization service perfprmance, followed by Shaanxi Province. Conclusions: The combined weighting method based on game theory integrating subjective and objective weights could make the final weight results more representative and scientific. The gap inthe levels of vaccination service performance of indirect vaccination units among the provinces have been narrowed, but the unbalanced regional development still persist. It is recommended that each region optimize the allocation of resources to vaccination units, innovate the service mode, and actively learn from the advanced experience of each region to improve their own service performance according to the contextual needs.
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