Abstract: Objective To establish an evaluation index system for insurance compensation for vaccine adverse events in Guangdong Province. Methods The index system was initially formulated by referring to literature review and policy documents of other pilot regions and other similar insurance products, and the indicators were selected by collecting experts' scores through three rounds of questionnaires using the Delphi method, and the weights of each indicator were calculated using the percentage weighting method. Results A total of 24 experts participated in the survey evaluation, including 7 experts from national and provincial CDCs, 5 experts from provincial health administration departments, and 12 experts from higher education institutions; 9 experts with senior titles, 8 experts with associate titles, and 7 others. The areas of expertise involved epidemiology (n=9), health policy (n=7), insurance (n=6), pharmacology (n=1), and health toxicology (n=1). The participation rate of experts in the three rounds was 95.80%, 100.00%, and 95.80%, respectively. The average coefficient of expert authority was 0.79, among which the average coefficient of expert judgment was 0.76 and the average coefficient of familiarity was 0.82. Following three rounds of expert consultations, an evaluation index system for insurance compensation for vaccine adverse events in Guangdong Province was established, which included five primary indicators (pilot results, pre-planning, implementation, post-analysis, and support work), 12 secondary indicators (number of insured, policy formulation, insurance fund raising, etc.), and 34 tertiary indicators (number of insured vaccine companies, number of insured persons vaccinated, policy integrity, etc.). Conclusion The evaluation index system established in this study has a high degree of authority and coordination of expert opinions, and can be used for the specific evaluation of the work on compensation insurance for vaccine adverse events in Guangdong Province.

Key words: Vaccine adverse event, Insurance, Compensation, Evaluation system, Delphi method