| 引用本文：崔月颖, 周驰, 冯芮华, 杨磊.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[J].中国卫生政策研究,2024,17(4):-52 |
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| 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 |
| 投稿时间：2024-03-14 修订日期：2024-04-07 PDF全文浏览 HTML全文浏览 |
| 崔月颖1,2, 周驰1, 冯芮华2, 杨磊1 |
1. 杭州师范大学公共卫生学院 浙江杭州 310036;
2. 中国医学科学院医学信息研究所 北京 100020 |
| 摘要:目的：在初步构建的县域医共体健康绩效评价指标体系后，通过熵权法计算各指标、各维度的权重系数，为县域医共体实现以健康为中心的可持续发展，提供评价导向。方法：在已构建的指标体系基础上，运用熵权法对5个样本地区的27个指标进行标化和权重计算，获得各维度和各指标的权重系数。结果：建设结构、组织过程、健康结果3个维度的权重系数分别为0.261、0.301、0.439。建设结构维度中县域内就诊率(0.105)和县域内基层医疗卫生机构门急诊占比(0.048)权重较高；组织过程维度中，高血压基层规范管理服务率(0.062)和糖尿病控制率(0.050)权重相对较高；健康结果维度中，低出生体重率(0.072)和人均期望寿命(0.051)权重相对较高。结论：基于熵权法计算的县域医共体健康绩效评价指标权重系数，不仅能反映各评价指标对县域医共体健康绩效的贡献率，也能够突出健康结果在综合评价中的作用。 |
| 关键词:县域医共体 权重系数 熵权法 绩效评价 指标体系 |
| 基金项目:国家自然科学基金项目(72274050)；中国医学科学院医学与健康科技创新工程经费资助项目 (2022-I2M-1-019) |
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| Weight analysis of the health performance evaluation index system for county health alliance based on entropy weight method |
| CUI Yue-ying1,2, ZHOU Chi1, FENG Rui-hua2, YANG Lei1 |
1. School of Public Health, Hangzhou Normal University, Hangzhou Zhejiang 310036, China;
2. Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China |
| 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. |
| Key words:County health alliance Weight coefficients Entropy weight method Performance evaluation Index system |
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