Cargando…
Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems
BACKGROUND: 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 he...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117275/ https://www.ncbi.nlm.nih.gov/pubmed/33985452 http://dx.doi.org/10.1186/s12889-021-10958-8 |
_version_ | 1783691562013687808 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | Trick, William E. |
collection | PubMed |
description | BACKGROUND: 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. METHODS: 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). RESULTS: 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. CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10958-8. |
format | Online Article Text |
id | pubmed-8117275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81172752021-05-13 Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems 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. BMC Public Health Research Article BACKGROUND: 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. METHODS: 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). RESULTS: 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. CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10958-8. BioMed Central 2021-05-13 /pmc/articles/PMC8117275/ /pubmed/33985452 http://dx.doi.org/10.1186/s12889-021-10958-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article 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. Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems |
title | Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems |
title_full | Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems |
title_fullStr | Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems |
title_full_unstemmed | Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems |
title_short | Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems |
title_sort | variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117275/ https://www.ncbi.nlm.nih.gov/pubmed/33985452 http://dx.doi.org/10.1186/s12889-021-10958-8 |
work_keys_str_mv | AT trickwilliame variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT rachmanfred variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT hinamikeiki variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT hilljenniferc variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT conovercraig variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT dieplisa variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT gordonhowards variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT khoabel variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT meltzerdavido variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT shahrajc variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT stelloned variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT thangarajpadma variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems AT toepferpeters variabilityincomorbiditesandhealthservicesuseacrosshomelesstypologiesmulticenterdatalinkagebetweenhealthcareandhomelesssystems |