Department of Medicine, Division of General Internal Medicine/Family Medicine, Hennepin County Medical Center, Minneapolis, MN.
Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN.
Health Serv Res. 2018 Jun;53(3):1992-2004. doi: 10.1111/1475-6773.12738. Epub 2017 Jul 3.
To design and test the validity of a method to identify homelessness among Medicaid enrollees using mailing address data.
DATA SOURCES/STUDY SETTING: Enrollment and claims data on Medicaid expansion enrollees in Hennepin and Ramsey counties who also provided self-reported information on their current housing situation in a psychosocial needs assessment.
Construction of address-based indicators and comparison with self-report data.
Among 1,677 enrollees, 427 (25 percent) self-reported homelessness, of whom 328 (77 percent) had at least one positive address indicator. Depending on the type of addresses included in the indicator, sensitivity to detect self-reported homelessness ranged from 30 to 76 percent and specificity from 79 to 97 percent.
An address-based indicator can identify a large proportion of Medicaid enrollees who are experiencing homelessness. This approach may be of interest to researchers, states, and health systems attempting to identify homeless populations.
设计并验证一种使用邮寄地址数据识别医疗补助计划参保者中无家可归者的方法，并对其有效性进行检验。
数据来源/研究范围：明尼苏达州亨内平县和拉姆齐县参与医疗补助计划扩张的参保者的参保和理赔数据，这些参保者还在心理社会需求评估中提供了关于其当前住房状况的自我报告信息。
基于地址的指标构建，并与自我报告数据进行比较。
在 1677 名参保者中，有 427 人（25%）自我报告无家可归，其中 328 人（77%）至少有一个阳性地址指标。根据指标中包含的地址类型，自我报告无家可归的检测灵敏度范围为 30%至 76%，特异性为 79%至 97%。
基于地址的指标可以识别出很大一部分经历无家可归的医疗补助计划参保者。对于试图识别无家可归人群的研究人员、州和卫生系统来说，这种方法可能具有一定的参考价值。
