Trick William E, Rachman Fred, Hinami Keiki, Hill Jennifer C, Conover Craig, Diep Lisa, Gordon Howard S, Kho Abel, Meltzer David O, Shah Raj C, Stellon Ed, Thangaraj Padma, Toepfer Peter S
Health Research & Solutions, Center for Health Equity & Innovation, Cook County Health, Chicago, IL, USA.
Department of Medicine, Rush University Medical Center, Chicago, IL, USA.
BMC Public Health. 2021 May 13;21(1):917. doi: 10.1186/s12889-021-10958-8.
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.
无家可归与大量发病情况相关。无家可归者与卫生系统之间的数据关联对于了解无家可归人群的独特需求、识别未在无家可归数据库中登记的无家可归者、量化住房服务对卫生系统使用的影响以及促使卫生系统和支付方为住房解决方案做出贡献非常重要。
我们在伊利诺伊州库克县进行了一项横断面调查,涵盖六个卫生系统和两个无家可归管理信息系统(HMIS)。我们进行了隐私保护记录关联,通过HMIS或电子病历中捕获的ICD-10编码来识别无家可归情况。我们测量了以下类型人群的健康状况患病率和卫生服务使用情况:按提供的服务分层的住房服务使用者(稳定型、稳定加不稳定型、不稳定型)和非使用者(即通过诊断编码识别的无家可归者——未接受住房服务)。
在11447名接受医疗保健的无家可归者中,近五分之一仅通过ICD10编码被识别,没有记录的无家可归服务(n = 2177;19%)。几乎一半的人接受的无家可归服务不包括稳定住房(n = 5444;48%),其次是稳定住房(n = 3017;26%),然后是同时接受稳定和不稳定服务(n = 809;7%)。将稳定住房接受者作为参照组,我们发现从稳定住房到仅由卫生系统认定为无家可归者,行为健康状况呈逐步上升趋势。与稳定住房者相比,未接受无家可归服务者的患病率比值(PRR)如下:抑郁症(PRR = 2.2;95%CI 1.9至2.5)、焦虑症(PRR = 2.5;95%CI 2.1至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)。未接受住房服务的无家可归者依靠急诊科获得医疗保健——近四分之三的人至少去过一次,许多人(24%)去过多次。
不同类型无家可归者在行为健康状况和卫生系统使用方面的差异凸显了与无家可归服务脱节的无家可归者负担尤其沉重。急诊科护理的分散和高使用率应促使卫生系统和支付方推动住房解决方案,特别是那些纳入物质使用和心理健康治疗的方案。