Padma S Jones, Karen W Yeh, Hannah K Brosnan, Dalia Regos-Stewart, Cathy Ngo, Jennifer Kwon, Alicia H Chang
{"title":"Evaluation of the Homeless Management Information System for COVID-19 Surveillance Among People Experiencing Homelessness.","authors":"Padma S Jones, Karen W Yeh, Hannah K Brosnan, Dalia Regos-Stewart, Cathy Ngo, Jennifer Kwon, Alicia H Chang","doi":"10.1093/infdis/jiac335","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":509652,"journal":{"name":"The Journal of Infectious Diseases","volume":" ","pages":"S327-S334"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/infdis/jiac335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
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.