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官方住院记录能否预测无家可归者的医疗脆弱性?:一项关于脆弱性指数的事后效度研究

Do official hospitalizations predict medical vulnerability among the homeless?: a postdictive validity study of the vulnerability index.

作者信息

Cronley Courtney, Petrovich James, Spence-Almaguer Emily, Preble Kathleen

机构信息

University of Texas at Arlington School of Social Work, TX, USA.

出版信息

J Health Care Poor Underserved. 2013 May;24(2):469-86. doi: 10.1353/hpu.2013.0083.

Abstract

The current study tested the postdictive validity of the Vulnerability Index (VI), an instrument used to assess medical vulnerability among people who are homeless. It also examined the relationship between hospitalization records and self-reported health status. The VI is based on self-reports of hospital utilization and chronic health conditions. Data were collected over a one-year period from individuals receiving homeless services in a southwestern city (N = 97, 53.3% male, 57.7% African American). Vulnerability Index scores and three subcomponents of the measure (chronic health conditions, substance use, and mental health problems) were regressed on official reports of past-year hospitalizations, controlling for gender and race, using four separate regression models. Official hospitalization records significantly predicted overall VI scores, but they did not predict the subcomponents of the measure. Results show that, within the current sample, official hospital records are predictive of overall VI scores and are correlated with self-reported hospitalization. The lack of relationship between hospital records and subcomponents of the VI may indicate an underutilization of health care for those with serious health conditions.

摘要

本研究检验了脆弱性指数(VI)的事后效度,该指数是一种用于评估无家可归者医疗脆弱性的工具。研究还考察了住院记录与自我报告的健康状况之间的关系。脆弱性指数基于对医院利用情况和慢性健康状况的自我报告。在一年时间里,从西南部一个城市接受无家可归者服务的个体中收集数据(N = 97,男性占53.3%,非裔美国人占57.7%)。使用四个独立的回归模型,在控制性别和种族的情况下,将脆弱性指数得分以及该测量方法的三个子成分(慢性健康状况、物质使用和心理健康问题)对过去一年住院情况的官方报告进行回归分析。官方住院记录显著预测了总体脆弱性指数得分,但未能预测该测量方法的子成分。结果表明,在当前样本中,官方医院记录可预测总体脆弱性指数得分,且与自我报告的住院情况相关。医院记录与脆弱性指数子成分之间缺乏关联,这可能表明患有严重健康状况的人群医疗服务利用不足。

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