Mapping Health Disparities:: Leveraging Area-Based Deprivation Indices for Targeted Chronic Disease Intervention.

Delaware journal of public health Pub Date : 2024-03-29 eCollection Date: 2024-03-01 DOI:10.32481/djph.2024.03.14
Darrell Dow
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Abstract

This article addresses the critical link between socioeconomic status and health outcomes in chronic disease patients, emphasizing the need for system-level outcome measurement stratified by socioeconomic status. Despite the acknowledged influence of social determinants, there is a lack of published studies analyzing chronic disease outcomes neighborhood by neighborhood. The importance of mapping as a public health tool, and the significance of analyzing outcomes at the neighborhood level is emphasized. The U.S. Census Bureau's hierarchy of space definitions is presented, particularly focusing on census tracts as a unique opportunity for analyzing chronic disease outcomes. Two Area-Based Deprivation Indices (ABDIs) - the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI) - as tools to measure socioeconomic disadvantage and vulnerability to environmental stressors, respectively are described. A brief survey of the weaknesses of ABDIs and limitations in addressing individual-level factors is addressed followed by a discussion of the challenges in translating patient address data into census block data. The evolving conversation around equity analysis and its impact on chronic disease management is presented. It highlights the willingness of public payers to tie payments to ABDIs, signaling a shift towards a more equitable healthcare system. Private insurers and health systems are urged to invest in geocoding strategies to understand and improve outcomes for the diverse neighborhoods they serve, acknowledging that the path forward involves addressing health disparities at the population level.

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绘制健康差异图::利用地区贫困指数进行有针对性的慢性病干预。
本文论述了社会经济状况与慢性病患者健康结果之间的重要联系,强调了按社会经济状况分层进行系统级结果测量的必要性。尽管社会决定因素的影响已得到公认,但缺乏按社区分析慢性病结果的公开研究。强调了绘图作为公共卫生工具的重要性,以及在邻里层面分析结果的意义。本文介绍了美国人口普查局的空间定义层次,特别强调人口普查区是分析慢性病结果的独特机会。介绍了两个地区贫困指数(ABDI)--地区贫困指数(ADI)和社会脆弱性指数(SVI)--分别作为衡量社会经济劣势和对环境压力的脆弱性的工具。首先简要介绍了 ABDI 的弱点以及在处理个人层面因素方面的局限性,然后讨论了将患者地址数据转化为普查区块数据所面临的挑战。报告介绍了围绕公平分析及其对慢性病管理的影响所展开的讨论。报告强调了公共支付方将支付与 ABDIs 挂钩的意愿,这标志着向更加公平的医疗保健系统的转变。报告敦促私营保险公司和医疗系统投资于地理编码策略,以了解和改善他们所服务的不同社区的治疗效果,同时承认前进的道路涉及在人口层面解决健康差异问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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