Characterizing Multisystem High Users of the Homeless Services, Jail, and Hospital Systems in Chicago, Illinois.


Journal

Journal of health care for the poor and underserved
ISSN: 1548-6869
Titre abrégé: J Health Care Poor Underserved
Pays: United States
ID NLM: 9103800

Informations de publication

Date de publication:
2022
Historique:
entrez: 17 10 2022
pubmed: 18 10 2022
medline: 19 10 2022
Statut: ppublish

Résumé

This study investigated the demographic characteristics, service use patterns, and needs of people who were high users of the homeless services, Cook County Jail, or hospital systems in Chicago, Illinois. Definitions of "high users" in each system were based on number of stays and days. K-means cluster analysis was performed on the subset of individuals who interacted with all three systems and were high users of at least one system. Cluster analysis was conducted on 1,232 individuals and revealed three profiles. The largest cluster (N=1,059; 86%) consisted of older single individuals exhibiting high rates of disabling conditions and health issues. A second cluster (N=124; 10%) distinguished a particularly vulnerable subgroup with the highest rates of medical and mental health needs. The final, smallest cluster (N=49; 4%) consisted of predominantly younger Black women with children who exhibited the lowest rates of behavioral health issues, but high hospital use.

Sections du résumé

BACKGROUND
This study investigated the demographic characteristics, service use patterns, and needs of people who were high users of the homeless services, Cook County Jail, or hospital systems in Chicago, Illinois.
METHODS
Definitions of "high users" in each system were based on number of stays and days. K-means cluster analysis was performed on the subset of individuals who interacted with all three systems and were high users of at least one system.
RESULTS
Cluster analysis was conducted on 1,232 individuals and revealed three profiles. The largest cluster (N=1,059; 86%) consisted of older single individuals exhibiting high rates of disabling conditions and health issues. A second cluster (N=124; 10%) distinguished a particularly vulnerable subgroup with the highest rates of medical and mental health needs. The final, smallest cluster (N=49; 4%) consisted of predominantly younger Black women with children who exhibited the lowest rates of behavioral health issues, but high hospital use.

Identifiants

pubmed: 36245184
pii: S1548686922300013
doi: 10.1353/hpu.2022.0088
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1612-1631

Auteurs

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