绘制健康差异:利用基于地区的贫困指数进行针对性的慢性疾病干预
1Corporate Director of Analytics and Digital Solutions, ChristianaCare Health System, Adjunct Instructor, Wilmington University.
Delaware journal of public health
|April 4, 2024
概括
社会经济地位显著影响慢性病患者的健康结果. 通过使用诸如区域贫困指数 (ADI) 等工具,对社区的结果进行分析,对于改善健康公平至关重要.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 健康 公平 卫生 公平
背景情况:
- 社会经济地位 (SES) 是慢性疾病患者健康结果的关键决定因素.
- 在社区层面对慢性疾病结果的分析中存在差距,尽管已知健康的社会决定因素的影响.
- 地理分析为了解健康差异提供了一个强大的工具.
研究的目的:
- 突出系统级结果测量的重要性,根据社会经济地位分层分层.
- 探索基于区域的贫困指数 (ABDI) 的实用性,以分析社区层面的慢性疾病结果.
- 倡导使用地理编码策略来解决慢性疾病管理中的健康差异.
主要方法:
- 审查社会经济地位与慢性疾病健康结果之间的联系.
- 讨论美国人口普查局的空间定义,重点关注人口普查区域.
- 基于面积的贫困指数 (ABDI) 的描述,包括面积贫困指数 (ADI) 和社会脆弱性指数 (SVI).
主要成果:
- 缺乏发表的社区对社区慢性疾病结果研究.
- 人口普查和美国人口统计局的潜力用于分析健康差异.
- 将患者地址数据转换为人口普查区块数据的挑战.
结论:
- 系统层面的结果测量必须包含社会经济地位分层.
- 地理编码和ABDI是了解和改善不同社区健康结果的重要工具.
- 解决健康差异需要采取人口层面的方法,增加纳税人对 ABDI 的兴趣,以获得公平的医疗保健.
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