山东省健康城市指数构建及其应用

朱高培; 孙汉辰; 岳增勇; 燕冉; 王素珍; 王箐

doi:10.16462/j.cnki.zhjbkz.2022.10.015

山东省健康城市指数构建及其应用

doi: 10.16462/j.cnki.zhjbkz.2022.10.015

朱高培¹,
孙汉辰²,
岳增勇²,
燕冉³,
王素珍^1, ,,
王箐^3, ,

1.
261053 潍坊, 潍坊医学院公共卫生学院卫生统计学教研室
2.
250002 济南, 山东健康医疗大数据管理中心
3.
250003 济南, 国家健康医疗大数据研究院

朱高培和孙汉辰为共同第一作者

基金项目:

国家重点研发计划 2020YFC203500

国家自然科学基金 81872719

详细信息

通讯作者:
王素珍, E-mail: wangsz@wfmc.edu.cn

王箐, E-mail: wangqing1984@126.com

中图分类号: R197.1
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- 被引次数: 0
出版历程
- 收稿日期: 2022-05-06
- 修回日期: 2022-06-26
- 刊出日期: 2022-10-10

Construction and application of healthy city index in Shandong Province

1.
Department of Health Statistics, School of Public Health, Weifang Medical University, Weifang 261053, China
2.
National Administration of Health Data, Jinan 250002, China
3.
National Institute of Health Data Science of China, Jinan 250003, China

ZHU Gao-pei and SUN Han-chen contributed equally to this work

Funds:

National key research and development program 2020YFC203500

National Natural Science Foundation of China 81872719

More Information

Corresponding author: WANG Su-zhen, E-mail: wangsz@wfmc.edu.cn; WANG Qing, E-mail: wangqing1984@126.com

摘要

摘要: 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。
- 健康城市指数 /
- 熵权-TOPSIS /
- DPSEEA /
- 健康医疗大数据
Abstract: 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.
- Healthy city index /
- Entropy weight-TOPSIS /
- DPSEEA /
- Health care big data

HTML全文

图 1 健康城市概念框架

Figure 1. Conceptual framework of healthy city

下载: 全尺寸图片幻灯片

图 2 健康城市概念框架梳理健康城市指标体系的流程图

Figure 2. How chart of health city indicator system sorted out by the conceptual framework of health city

下载: 全尺寸图片幻灯片

图 3 健康城市指标体系验证性因子分析

Figure 3. Confirmatory factor analysis of healthy city indicator system

下载: 全尺寸图片幻灯片

图 4 山东省16个城市和标准城市(S)各维度指数雷达图

Figure 4. Radar chart of each dimension index of 16 Cities and standard Cities(S) in Shandong Province

下载: 全尺寸图片幻灯片

表 1 健康城市二级指标权重Top10

Table 1. Top 10 weights of secondary indicators of healthy cities

一级指标	二级指标	权重
健康韧性	湿地面积(千顷)	0.089
健康服务	卫生支出占财政支出比重(%)	0.061
健康韧性	居民年用水总量(亿立方米)	0.037
健康服务	体重达标率(%)	0.029
健康韧性	人均地区生产总值(元/人)	0.026
健康环境	PM₁₀浓度(μg/m³)	0.022
健康服务	公共卫生卫生服务业规模(万亿元)	0.019
健康促进	戒烟率(%)	0.018
健康服务	人均医疗保健消费支出(元/人)	0.018
健康韧性	空气质量优良天数比例(%)	0.016

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