Your browser doesn't support javascript.
Evaluation of the Homeless Management Information System for COVID-19 Surveillance Among People Experiencing Homelessness.
Jones, Padma S; Yeh, Karen W; Brosnan, Hannah K; Regos-Stewart, Dalia; Ngo, Cathy; Kwon, Jennifer; Chang, Alicia H.
  • Jones PS; Los Angeles County Department of Public Health, Los Angeles, California, USA.
  • Yeh KW; Los Angeles County Department of Public Health, Los Angeles, California, USA.
  • Brosnan HK; Los Angeles County Department of Public Health, Los Angeles, California, USA.
  • Regos-Stewart D; Los Angeles County Department of Public Health, Los Angeles, California, USA.
  • Ngo C; Los Angeles County Department of Public Health, Los Angeles, California, USA.
  • Kwon J; Los Angeles County Department of Public Health, Los Angeles, California, USA.
  • Chang AH; Los Angeles County Department of Public Health, Los Angeles, California, USA.
J Infect Dis ; 226(Suppl 3): S327-S334, 2022 10 07.
Article in English | MEDLINE | ID: covidwho-2062915
ABSTRACT

BACKGROUND:

Variable and incomplete reporting of housing status creates challenges in the surveillance of coronavirus disease 2019 (COVID-19) among the homeless population in Los Angeles County (LA County) and nationwide.

METHODS:

We developed standard investigation procedures to assess the housing status of LA County COVID-19 patients. Using data sharing procedures, we matched COVID-19 patients to Homeless Management Information System (HMIS) client profiles and supplemented with additional data sources for contributory data points and to further housing status ascertainment.

RESULTS:

We identified 10 586 COVID-19 patients among people experiencing homelessness (PEH) between 30 March 2020 and 30 December 2021; 2801 (26.5%) patients were first identified from HMIS profile matches, 1877 (17.7%) from quarantine/isolation housing intake rosters, 573 (5.4%) from hospital records, 749 (7.1%) from case and contact interviews, 3659 (34.6%) directly from PEH medical and service providers, and 927 (8.8%) had unknown sources. Among COVID-19 patients matched to HMIS profiles, 5351 (42.5%) were confirmed to be PEH at the time of COVID-19 diagnosis.

CONCLUSIONS:

Interoperability between public health data, HMIS, and external partners have been critical components in evaluating the impact of COVID-19 among the LA County homeless population. No one data source was complete for COVID-19 surveillance in this population.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Ill-Housed Persons / Management Information Systems / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study Limits: Humans Language: English Journal: J Infect Dis Year: 2022 Document Type: Article Affiliation country: Infdis

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Ill-Housed Persons / Management Information Systems / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study Limits: Humans Language: English Journal: J Infect Dis Year: 2022 Document Type: Article Affiliation country: Infdis