ArticleHealth services research2019
Predictive modeling of housing instability and homelessness in the Veterans Health Administration.
Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Extracting social determinants of health from electronic health records using natural language processing: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Skilled Nursing Facility-to-Home Transitions After Heart Failure Hospitalization: A Mixed-Methods Study of Communication, Self-Care, Medication, and Follow-Up.Circulation. Heart failure · 2026Article
- Validation of an Electronic Health Record Algorithm for Identifying Housing-Related Needs in a Safety-Net Health System.Health services research · 2026Article
- Retrospective Study of Homelessness among Transitioning Service Members Within Two Years after Military Service.Administration and policy in mental health · 2026Article
- Homelessness prediction models in high-income countries: a scoping review.BMC public health · 2025Article
- Homelessness response: a framework for action by hospitals and healthcare systems.Frontiers in public health · 2025Review
- Article
- Development of a Social Risk Score in the Electronic Health Record to Identify Social Needs Among Underserved Populations: Retrospective Study.JMIR formative research · 2024Article
- Changes in perceived stress and food or housing insecurity associated with COVID-19 in doctor of pharmacy students: A pre- and current- COVID-19 survey.Exploratory research in clinical and social pharmacy · 2024Article
- Using electronic health record metadata to predict housing instability amongst veterans.Preventive medicine reports · 2024Article
- Article
- Understanding Why Many People Experiencing Homelessness Reported Migrating to a Small Canadian City: Machine Learning Approach With Augmented Data.JMIR formative research · 2023Article
- Identifying High-Need Primary Care Patients Using Nursing Knowledge and Machine Learning Methods.Applied clinical informatics · 2023Article
- Identifying Predictors of Homelessness Among Adults in a Large Integrated Health System in Northern California.The Permanente journal · 2023Article
- Predicting Homelessness Among U.S. Army Soldiers No Longer on Active Duty.American journal of preventive medicine · 2022Article
- 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
- Development of a homelessness risk screening tool for emergency department patients.Health services research · 2022Article
- Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review.Health data science · 2021Article
- Predictive modeling of housing instability and homelessness in the Veterans Health Administration.Health services research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveTo develop and test predictive models of housing instability and homelessness based on responses to a brief screening instrument administered throughout the Veterans Health Administration (VHA). DATA SOURCES/STUDY
settingElectronic medical record data from 5.8 million Veterans who responded to the VHA's Homelessness Screening Clinical Reminder (HSCR) between October 2012 and September 2015. STUDY
designWe randomly selected 80% of Veterans in our sample to develop predictive models. We evaluated the performance of both logistic regression and random forests-a machine learning algorithm-using the remaining 20% of cases. DATA COLLECTION/EXTRACTION
methodsData were extracted from two sources: VHA's Corporate Data Warehouse and National Homeless Registry. PRINCIPAL
findingsPerformance for all models was acceptable or better. Random forests models were more sensitive in predicting housing instability and homelessness than logistic regression, but less specific in predicting housing instability. Rates of positive screens for both outcomes were highest among Veterans in the top strata of model-predicted risk.
conclusionsPredictive models based on medical record data can identify Veterans likely to report housing instability and homelessness, making the HSCR screening process more efficient and informing new engagement strategies. Our findings have implications for similar instruments in other health care systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.