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评估区域贫困程度作为个体社会风险的替代指标。

Assessing Area-Level Deprivation as a Proxy for Individual-Level Social Risks.

机构信息

California Policy Lab, Institute for Research on Labor and Employment, University of California, Berkeley, Berkeley, California; Social Interventions Research & Evaluation Network, University of California San Francisco, San Francisco, California.

Humana Healthcare Research, Louisville, Kentucky.

出版信息

Am J Prev Med. 2023 Dec;65(6):1163-1171. doi: 10.1016/j.amepre.2023.06.006. Epub 2023 Jun 10.

Abstract

INTRODUCTION

Concerns about the opportunity costs of social screening initiatives have led some healthcare organizations to consider using social deprivation indices (area-level social risks) as proxies for self-reported needs (individual-level social risks). Yet, little is known about the effectiveness of such substitutions across different populations.

METHODS

This analysis explores how well the highest quartile (cold spot) of three different area-level social risk measures-the Social Deprivation Index, Area Deprivation Index, and Neighborhood Stress Score-corresponds with six individual-level social risks and three risk combinations among a national sample of Medicare Advantage members (N=77,503). Data were derived from area-level measures and cross-sectional survey data collected between October 2019 and February 2020. Agreement between individual and individual-level social risks, sensitivity values, specificity values, positive predictive values, and negative predictive values was calculated for all measures in summer/fall 2022.

RESULTS

Agreement between area and individual-level social risks ranged from 53% to 77%. Sensitivity for each risk and risk category never exceeded 42%; specificity values ranged from 62% to 87%. Positive predictive values ranged from 8% to 70%, and negative predictive values ranged from 48% to 93%. There were modest performance discrepancies across area-level measures.

CONCLUSIONS

These findings provide additional evidence that area-level deprivation indices may be inconsistent indicators of individual-level social risks, supporting policy efforts to promote individual-level social screening programs in healthcare settings.

摘要

简介

由于对社会筛选计划的机会成本的担忧,一些医疗机构开始考虑使用社会剥夺指数(地区层面的社会风险)来替代自我报告的需求(个人层面的社会风险)。然而,对于这种替代在不同人群中的有效性,我们知之甚少。

方法

本分析探讨了三种不同的地区层面社会风险指标(社会剥夺指数、地区剥夺指数和邻里压力得分)的最高四分位数(冷点)与全国医疗保险优势计划成员(N=77503)的六个个人层面社会风险和三个风险组合之间的吻合程度。数据来自于 2019 年 10 月至 2020 年 2 月期间收集的地区层面措施和横断面调查数据。在 2022 年夏季/秋季计算了所有指标的个体和个体层面社会风险、灵敏度值、特异性值、阳性预测值和阴性预测值之间的一致性。

结果

地区和个体层面社会风险之间的一致性从 53%到 77%不等。每个风险和风险类别的敏感性从未超过 42%;特异性值范围从 62%到 87%。阳性预测值范围从 8%到 70%,阴性预测值范围从 48%到 93%。地区层面指标之间存在适度的性能差异。

结论

这些发现进一步证明,地区层面的剥夺指数可能是个体层面社会风险的不一致指标,支持在医疗保健环境中促进个体层面社会筛选计划的政策努力。

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