Weight analysis of the health performance evaluation index system for county health alliance based on entropy weight method
10.3969/j.issn.1674-2982.2024.04.008
- VernacularTitle:基于熵权法的县域医共体健康绩效评价指标体系权重分析
- Author:
Yue-Ying CUI
1
;
Chi ZHOU
;
Rui-Hua FENG
;
Lei YANG
Author Information
1. 杭州师范大学公共卫生学院 浙江杭州 310036;中国医学科学院医学信息研究所 北京 100020
- Keywords:
County health alliance;
Weight coefficients;
Entropy weight method;
Performance evaluation;
Index system
- From:
Chinese Journal of Health Policy
2024;17(4):52-57
- CountryChina
- Language:Chinese
-
Abstract:
Objective:After initially establishing a health performance evaluation index system for county health alliance,this study aimed to calculate the weight coefficients of various indicators and dimensions through the entropy weight method,which provided an evaluation orientation for county health alliance to achieve health-centered sustainable development.Methods:Based on existing research,the entropy weight method was used to standardize and calculate the weights of 27 indicators from five sample regions.Results:The weight coefficients for the three dimensions of construction structure,organizational process,and health outcomes are 0.261,0.301,and 0.439,respectively.In the construction structure dimension,the weight coefficients for inside-county medical utilization rate(0.105)and the proportion of outpatient and emergency visits in primary healthcare institutions inside-county(0.048)are relatively high.In the organizational process dimension,the weight coefficients for standardized management service rates for hypertension at the primary health care(0.062)and diabetes control rates(0.050)are relatively high.In the health outcome dimension,the weight coefficients for the low birth weight rate(0.072)and life expectancy(0.051)are relatively high.Conclusions:The weight coefficients of the health performance evaluation indicators for county health alliance calculated based on the entropy weight method highlighted the important role of health outcomes,as well as objectively reflect the contribution of each evaluation index to the health performance of the county health alliance.
