山东省健康城市指数构建及其应用

目的  构建具有山东特色的健康城市指数，实现健康城市的可持续发展。 方法  采用山东多中心健康大数据队列和多来源社会经济发展数据，通过循证证据筛选城市的决定因素和指标，基于“驱动力-压力-状态-暴露-影响-响应”（driving-force-pressure-state-exposure-effect-action，DPSEEA）概念框架梳理健康城市指标，并基于验证性因子分析法建立健康城市指标体系。采用熵权-逼近理想解（technique for order preference by similarity to ideal solution，TOPSIS）方法，计算山东省2018年各个城市健康城市得分。 结果  在健康医疗大数据的基础上，经循证证据筛选和验证性因子分析，最终确定6个维度，30个指标。熵权-TOPSIS的结果表明，健康服务的权重最大（0.305），健康人群的权重最小（0.037）。山东省健康城市指数分析显示，山东省健康城市水平低于虚拟健康标准城市，但山东省内部之间差异不大。 结论  DPSEEA结合循证医学可以指导健康城市指标体系的构建。

Construction and application of healthy city index in Shandong Province

  Objective  To construct the healthy city index with Shandong characteristics, and to realize the sustainable development of a healthy city.  Methods  In accordance with the Shandong multi-center health big data and multi-source socio-economic development data, the determinants and indicators of cities were screened evidence-based. Based on the conceptual framework of "driving-force-pressure-state-exposure-effect-action" (DPSEEA), we combed the indicators of healthy cities and established the indicator system of healthy cities via confirmatory factor analysis. The entropy weight-TOPSIS method was used to calculate the scores of healthy cities of Cities in Shandong Province in 2018.  Results  Finally, 6 dimensions and 30 indicators were determined based on health care big data and evidence-based and confirmatory factor analysis. The results of entropy weight-TOPSIS showed that the weight of health services (0.305) was the largest, and the weight of the healthy population (0.037) was the smallest. The analysis of the healthy city index in Shandong Province showed that the level of healthy cities in Shandong Province was far lower than that of standard cities, but the difference within Shandong Province was not obvious.  Conclusion  The DPSEEA combined with an evidence-based could be used to guide the construction of a healthy city index system.