Objective:To construct a smart elderly education system that in line with the current situation under the Healthy China strategy and explore the constraints on its institutional implementation,in order to provide a basis for scientifically evaluating the implementation effect of this system.Methods:A questionnaire survey was conducted on 34 experts in related fields.The analytic hierarchy process(AHP)was used to perform quantitative and qualitative analyses on the construction of the smart elderly education system,and the weights of the importance of each scheme were obtained.Results:The constructed model of the smart elderly education system included 5 first-level indicators and 15 second-level indicators.Calculations of the judgment matrix for the 5 first-level indicators showed that the maximum eigenvalue(λmax)=5.071 4,the random consistency index(RI)=1.12,the consistency index(CI)=0.017 8,and the consistency ratio(CR)=0.015 9.With CR＜0.1,the result met the consistency requirement.For the second-level indicators under each first-level indicator,pairwise comparison judgment matrices were constructed.The CR values of all 5 judgment matrices were＜0.1.In summary,all judgment matrices passed the consistency test and were applicable.Among the first-level indicators,the top three by weights were guarantee mechanisms,demand orientation,and implementation effectiveness.Among the second-level indicators,the top three by combined weights were funding support capacity,health literacy improvement rate,and health demand identification mechanism.Conclusions:The indicator evaluation system for the smart elderly education system constructed based on AHP includes core dimensions such as guarantee mechanisms and demand orientation,responding to the key issues of institutional implementation.The selected indicators are both objective and practical,and can serve as reference tools for actual evaluation.

Objective:To construct a smart elderly education system that in line with the current situation under the Healthy China strategy and explore the constraints on its institutional implementation,in order to provide a basis for scientifically evaluating the implementation effect of this system.Methods:A questionnaire survey was conducted on 34 experts in related fields.The analytic hierarchy process(AHP)was used to perform quantitative and qualitative analyses on the construction of the smart elderly education system,and the weights of the importance of each scheme were obtained.Results:The constructed model of the smart elderly education system included 5 first-level indicators and 15 second-level indicators.Calculations of the judgment matrix for the 5 first-level indicators showed that the maximum eigenvalue(λmax)=5.071 4,the random consistency index(RI)=1.12,the consistency index(CI)=0.017 8,and the consistency ratio(CR)=0.015 9.With CR＜0.1,the result met the consistency requirement.For the second-level indicators under each first-level indicator,pairwise comparison judgment matrices were constructed.The CR values of all 5 judgment matrices were＜0.1.In summary,all judgment matrices passed the consistency test and were applicable.Among the first-level indicators,the top three by weights were guarantee mechanisms,demand orientation,and implementation effectiveness.Among the second-level indicators,the top three by combined weights were funding support capacity,health literacy improvement rate,and health demand identification mechanism.Conclusions:The indicator evaluation system for the smart elderly education system constructed based on AHP includes core dimensions such as guarantee mechanisms and demand orientation,responding to the key issues of institutional implementation.The selected indicators are both objective and practical,and can serve as reference tools for actual evaluation.