The development of the Community Deprivation Index and its application to accountable care organizations.

Health affairs scholar Pub Date : 2024-11-27 eCollection Date: 2024-12-01 DOI:10.1093/haschl/qxae161
John Robst, Ryan Cogburn, Grayson Forlines, Lex Frazier, John Kautter
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Abstract

There is strong interest among policymakers to adjust for area-level deprivation when making payments to providers because such areas have traditionally been underserved. The Medicare Accountable Care Organization Realizing Equity, Access, and Community Health (ACO REACH) model provides higher payments to ACOs serving areas with greater deprivation. Area Deprivation Index (ADI) is the primary component to measure deprivation for ACO REACH. The ADI is a commonly used deprivation index, but there are concerns about its methodology, primarily its use of nonstandardized deprivation factors. Prior research indicates the ADI is mainly determined by home values, which does not allow it to adequately capture deprivation in urban areas. This paper revises and updates the ADI, using American Community Survey data to compute a census block group deprivation index, the Community Deprivation Index (CDI). The CDI standardizes the deprivation factors to be unit neutral, applies statistical shrinkage to account for the imprecise measurement of the factors, updates several factors, and reweights the factors using the most recently available data. Validation tests suggest the CDI exhibits higher correlations with several health outcome/utilization measures than the ADI. The CDI will better serve policymakers by improving identification of urban areas with higher deprivation.

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社区剥夺指数的发展及其在责任医疗机构中的应用。
政策制定者在向医疗服务提供者支付费用时,有强烈的兴趣对地区层面的匮乏进行调整,因为这些地区传统上得不到充分的服务。医疗保险责任医疗组织实现公平、可及性和社区健康(acoreach)模式为服务于贫困地区的ACOs提供更高的报酬。区域剥夺指数(ADI)是衡量ACO REACH中剥夺程度的主要成分。ADI是一种常用的剥夺指数,但人们对其方法存在担忧,主要是它使用了非标准化的剥夺因素。先前的研究表明,ADI主要是由房屋价值决定的,这使得它不能充分反映城市地区的贫困状况。本文使用美国社区调查数据来计算人口普查块组剥夺指数,即社区剥夺指数(CDI),对ADI进行了修订和更新。CDI将剥夺因素标准化为单位中性,应用统计收缩来解释这些因素的不精确测量,更新几个因素,并使用最近可获得的数据重新加权。验证试验表明,CDI与若干健康结果/利用指标的相关性高于ADI。CDI将通过改进对贫困程度较高的城市地区的识别,更好地为政策制定者服务。
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