ArticleJournal of the American Medical Informatics Association : JAMIA2015
Identifying homelessness using health information exchange data.
Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- The impact of health shocks on housing instability: Evidence from urban Medicaid enrollees.Journal of health economics · 2026Article
- Integrating a risk prediction score in a clinical decision support to identify patients with health-related social needs in the emergency department.JAMIA open · 2025Article
- Development and validation of computable social phenotypes for health-related social needs.JAMIA open · 2025Article
- Estimating the scale of hospital admissions for people experiencing homelessness in England: a population-based multiple systems estimation study using national Hospital Episode Statistics.BMJ public health · 2025Article
- Improving Identification of Patients Experiencing Homelessness in the Electronic Health Record: A Curated Registry Approach.Journal of general internal medicine · 2024Article
- Improving health equity through health care systems research.Health services research · 2023Article
- Easy to use and validated predictive models to identify beneficiaries experiencing homelessness in Medicaid administrative data.Health services research · 2023Article
- Natural language processing-driven state machines to extract social factors from unstructured clinical documentation.JAMIA open · 2023Article
- Evidence of housing instability identified by addresses, clinical notes, and diagnostic codes in a real-world population with substance use disorders.Journal of clinical and translational science · 2023Article
- Address Changes Are Associated With Unmet Glycemic Targets: Opportunities to Improve Processes and Outcomes of Care Among People With Type 2 Diabetes.The Permanente journal · 2022Article
- Impact of COVID-19 on People Experiencing Homelessness: A Call for Critical Accountability.American journal of public health · 2022Article
- Developing an operational definition of housing instability and homelessness in Veterans Health Administration's medical records.PloS one · 2022Article
- Impact of Provider Prior Use of HIE on System Complexity, Performance, Patient Care, Quality and System Concerns.Information systems frontiers : a journal of research and innovation · 2022Article
- Variability in comorbidites and health services use across homeless typologies: multicenter data linkage between healthcare and homeless systems.BMC public health · 2021Article
- Health Status and Chronic Disease Burden of the Homeless Population: An Analysis of Two Decades of Multi-Institutional Electronic Medical Records.Journal of health care for the poor and underserved · 2021Article
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- Homelessness and self-rated health: evidence from a national survey of homeless people in Spain.BMC public health · 2019Article
- Predictive modeling of housing instability and homelessness in the Veterans Health Administration.Health services research · 2019Article
- Identifying Homeless Medicaid Enrollees Using Enrollment Addresses.Health services research · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHomeless patients experience poor health outcomes and consume a disproportionate amount of health care resources compared with domiciled patients. There is increasing interest in the federal government in providing care coordination for homeless patients, which will require a systematic way of identifying these individuals.
objectiveWe analyzed address data from Healthix, a New York City-based health information exchange, to identify patterns that could indicate homelessness.
methodsPatients were categorized as likely to be homeless if they registered with the address of a hospital, homeless shelter, place of worship, or an address containing a keyword synonymous with "homelessness."
resultsWe identified 78,460 out of 7,854,927 Healthix patients (1%) as likely to have been homeless over the study period of September 30, 2008 to July 19, 2013. We found that registration practices for these patients varied widely across sites.
conclusionsThe use of health information exchange data enabled us to identify a large number of patients likely to be homeless and to observe the wide variation in registration practices for homeless patients within and across sites. Consideration of these results may suggest a way to improve the quality of record matching for homeless patients. Validation of these results is necessary to confirm the homeless status of identified individuals. Ultimately, creating a standardized and structured field to record a patient's housing status may be a preferable approach.
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