首页> 外文期刊>BMC Public Health >Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems
【24h】

Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems

机译:合并和健康服务的可变性在无家可归的类型中使用:医疗保健和无家可归系统之间的多中心数据联动

获取原文
       

摘要

Homelessness is associated with substantial morbidity. Data linkages between homeless and health systems are important to understand unique needs across homeless populations, identify homeless individuals not registered in homeless databases, quantify the impact of housing services on health-system use, and motivate health systems and payers to contribute to housing solutions. We performed a cross-sectional survey including six health systems and two Homeless Management Information Systems (HMIS) in Cook County, Illinois. We performed privacy-preserving record linkage to identify homelessness through HMIS or ICD-10 codes captured in electronic medical records. We measured the prevalence of health conditions and health-services use across the following typologies: housing-service utilizers stratified by service provided (stable, stable plus unstable, unstable) and non-utilizers (i.e., homelessness identified through diagnosis codes—without receipt of housing services). Among 11,447 homeless recipients of healthcare, nearly 1 in 5 were identified by ICD10 code alone without recorded homeless services (n?=?2177; 19%). Almost half received homeless services that did not include stable housing (n?=?5444; 48%), followed by stable housing (n?=?3017; 26%), then receipt of both stable and unstable services (n?=?809; 7%). Setting stable housing recipients as the referent group, we found a stepwise increase in behavioral-health conditions from stable housing to those known as homeless solely by health systems. Compared to those in stable housing, prevalence rate ratios (PRR) for those without homeless services were as follows: depression (PRR?=?2.2; 95% CI 1.9 to 2.5), anxiety (PRR?=?2.5; 95% CI 2.1 to 3.0), schizophrenia (PRR?=?3.3; 95% CI 2.7 to 4.0), and alcohol-use disorder (PRR?=?4.4; 95% CI 3.6 to 5.3). Homeless individuals who had not received housing services relied on emergency departments for healthcare—nearly 3 of 4 visited at least one and many (24%) visited multiple. Differences in behavioral-health conditions and health-system use across homeless typologies highlight the particularly high burden among homeless who are disconnected from homeless services. Fragmented and high use of emergency departments for care should motivate health systems and payers to promote housing solutions, especially those that incorporate substance use and mental health treatment.
机译:无家可归与大量发病率有关。无家可归者和健康系统之间的数据联系对于无家可归人群的独特需求非常重要,识别未在无家可归数据库中注册的无家可归个人,量化住房服务对健康系统使用的影响,以及激励卫生系统和付款人为住房解决方案提供贡献。我们在伊利诺伊州康复县的六个卫生系统和两个无家可归管理信息系统(HMIS)进行了横断面调查。我们执行了隐私保留的记录联动,以通过电子医疗记录中捕获的HMIS或ICD-10代码来识别无家可归。我们测量了跨越类型的健康状况和健康服务的流行:通过提供的服务分层(稳定,稳定的加不稳定,不稳定)和非实用程序(即通过诊断代码确定的无家可归者的住房 - 服务利用者 - 没有收到住房服务)。在11,447个无家可归的医疗收件人中,通过ICD10代码在近1年内通过无家可归的服务来确定近1(N?= 2177; 19%)。几乎一半收到的无家可归的服务不包括稳定的外壳(n?= 5444; 48%),然后稳定的外壳(n?= 3017; 26%),然后收到稳定和不稳定的服务(n?=? 809; 7%)。将稳定的住房接收者设置为参考组,我们发现从稳定的住房到被称为无家可归者的行为健康状况的逐步增加。与那些没有无家可归服务的人的稳定住房,流行率比(PRR)如下:抑郁症(PRR?=?2.2; 95%CI 1.9至2.5),焦虑(PRR?=?2.5; 95%CI 2.1到3.0),精神分裂症(PRR?= 3.3; 95%CI 2.7至4.0)和酒精使用障碍(PRR?= 4.4; 95%CI 3.6至5.3)。没有收到住房服务的无家可归的个人依赖于医疗保健的急诊部门 - 近3个中的近3个,其中至少有一个和许多(24%)访问过多次。行为健康状况和健康系统在无家可归者中使用的差异突出了无家可归者之间的特别高负担,他们与无家可归者服务断绝。碎片化和高等利用的紧急部门的护理应激励卫生系统和付款人促进住房解决方案,尤其是包含物质使用和心理健康治疗的卫生解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号