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Comparison of State Hospital Visits With Housing and Urban Development Estimates of Homeless

Illinois, 2011–2018

Bibliographic Data

ID11028843
AuthorsDana Madigan (0000-0003-4819-3561, Dana Madigan is with National University of Health Sciences and the Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago. Linda Forst and Lee S. Friedman are with the Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago.), Linda Forst (0000-0003-4966-1929, Dana Madigan is with National University of Health Sciences and the Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago. Linda Forst and Lee S. Friedman are with the Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago.), Lee S Friedman (0000-0001-9312-6099, Dana Madigan is with National University of Health Sciences and the Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago. Linda Forst and Lee S. Friedman are with the Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago.)
Year2020
Volume110
Issue3
Pages391-393
Publication date2020-03-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2019.305492
PMID31944841
OpenAlexW3000216850
LanguageEN
References cited5

Objectives. To assess the value of hospital records in augmenting information on homelessness counts at a state level. Methods. We used data from the Illinois Hospital Discharge Database (2011–2018) to identify outpatients and inpatients identified as affected by homelessness. We used probabilistic linkage methodology to estimate unique individuals rather than visits and compared them with US Department of Housing and Urban Development annual estimates of homelessness based on point-in-time counts. Results. Department of Housing and Urban Development point-in-time estimates indicate a substantial decline of approximately 24% in homelessness in Illinois; however, estimates of unique individuals visiting the hospital with a code for homelessness more than doubled in this same period. Conclusions. Other data sources, such as hospital records, are increasingly able to identify and report information related to homelessness. Using these additional data sources may help to augment the Department of Housing and Urban Development point-in-time estimates to provide more accurate estimates of homelessness that are used to direct resources and assess policy and support services for those affected by homelessness

Emergency department · Environmental health · Estimation · Geography · Population · Record linkage · Sociology · Zip code · Demography · Emergency and Acute Care Studies · Food Security and Health in Diverse Populations · Homelessness and Social Issues · Medicine · Nursing · Gerontology

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Highly citedNo

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