通讯作者: 崔月颖, cuiyueying0318@163.com

DOI：10.12201/bmr.202405.00003

Weight Analysis of the Health Performance Evaluation Index System for Country health alliance Based on Entropy Weight Method

• 摘要：【】目的:在全面推进县域医共体建设的背景下,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:依托“结构-过程-结果”框架,在已有研究基础上,运用熵权法对5个样本地区的27个指标进行标化和权重的计算,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0.26、0.30、0.44,能够反映健康结果维度在评价体系中发挥的作用。建设结构维度中县域内就诊率(0.105)和县域内基层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。这些指标是县域医共体发展中需要重点关注的指标,也是能体现发展差异的指标。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,能够突出健康结果的重要性,为县域医共体的绩效评价提供参考的工具。

  关键词： 县域医共体；权重系数；熵权法；绩效评价；指标体系；

   

  Abstract: 【】Objective: Under the background of comprehensively promoting the construction of county health alliance,after initially establishing a health performance evaluation index system for county health alliance, this study aims to calculate the weight coefficients of various indicators and dimensions through the entropy weight method,which provides an evaluation orientation for county health alliance to achieve health-centered sustainable development.Method: According to the structure-process-outcome framework and 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 0.26, 0.30, and 0.44, respectively, reflecting the important role of the health outcome dimension in the evaluation system. 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. These indicators are key areas of focus for the development of county health alliance and reflect differences in development. Conclusion: The weight coefficients of the health performance evaluation indicators for county health alliance calculated based on the entropy weight method highlight the importance of health outcomes.It provides a reference tool for the performance evaluation of county health alliance.

  Key words: County health alliance；Weight Coefficients；Entropy Weight Method；Performance assessment；Index system

  提交时间：2024-05-21

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• 序号	提交日期	编号	操作
  1	2024-03-14	bmr.202405.00003V1	下载

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