使用德尔菲方法和分析层次流程估计多维健康贫困的权重:中国的一个案例
Jin Hao1,2, Shiju Dong1,2, Jiajia Li3,4
1School of Public Health, Centre for Health Management and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
BMC public health
|October 21, 2024
概括
这项研究开发了中国多维健康贫困指数 (MHPI) 的加权方案,使用可持续生计框架 (SLF). 经济安全,健康状况和医疗保健利用率是识别多维健康贫困的关键因素.
科学领域:
- 公共卫生 公共卫生
- 社会经济学 社会经济学
- 卫生经济学 卫生经济学
背景情况:
- 使用单一收入标准进行传统的贫困评估不足以缓解绝对贫困.
- 中国的情况需要对贫困识别采取更细致的方法.
- 可持续生计框架 (SLF) 为多维贫困评估提供了一个全面的结构.
研究的目的:
- 为多维健康贫困指数 (MHPI) 制定一个权衡方案.
- 为了提高中国贫困识别的准确性.
- 将SLF维度纳入健康贫困指数.
主要方法:
- 为了选择指数指标,采用了两轮的Delphi过程.
- 分析层次过程 (AHP) 用于计算指标权重.
- 该MHPI包含了五个SLF维度:金融,自然,物理,社会和人力资本.
主要成果:
- 建立了一个由六个一级指标和23个二级指标组成的指数系统.
- 确定了关键指标的权重:经济安全 (0.2715),健康状况 (0.2593) 和医疗保健利用率 (0.1812).
- 教育 (0.0855),社会资本 (0.0657) 和生活条件 (0.1363) 也被加权.
结论:
- 建立了中国多维健康贫困的科学和有效指数.
- 经济安全,健康状况和医疗保健利用率是健康贫困的关键组成部分.
- 职业培训和社会资本需要在减贫战略中强调.
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