Evidence map›Paper›PMID 34474188›Full record

ArticleJournal of biomedical informatics2021

ReHouSED: A novel measurement of Veteran housing stability using natural language processing.

Alec B Chapman, Audrey Jones, A Taylor Kelley, Barbara Jones, Lori Gawron, Ann Elizabeth Montgomery, Thomas Byrne, Ying Suo, James Cook, Warren Pettey and 3 more

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2025
    Article
  7. Article
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  9. Article
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  12. Studying Veteran food insecurity longitudinally using electronic health record data and natural language processing.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  13. Article
  14. Addressing Housing Issues Among People With Kidney Disease: Importance, Challenges, and Recommendations.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Review
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  20. A marker-based neural network system for extracting social determinants of health.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Alec B ChapmanInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States. Electronic address: alec.chapman@hsc.utah.edu.
Audrey JonesInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
A Taylor KelleyInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of General Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.
Barbara JonesInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Pulmonary and Critical Care Medicine, University of Utah and VA Healthcare System, Salt Lake City, UT, United States.
Lori GawronInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Ann Elizabeth MontgomeryBirmingham Veterans Administration Medical Center, Birmingham, AL, United States; School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States; U.S. Department of Veterans Affairs, National Center on Homelessness among Veterans, Tampa, FL, United States.
Thomas ByrneU.S. Department of Veterans Affairs, National Center on Homelessness among Veterans, Tampa, FL, United States; U.S. Department of Veterans Affairs, Center for Healthcare Outcomes and Implementation Research, Edith Nourse Rodgers VA Medical Center, Bedford, MA, United States; Boston University School of Social Work, Boston, MA, United States.
Ying SuoInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
James CookInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Warren PetteyInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Kelly PetersonInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States; Veterans Health Administration Office of Analytics and Performance Integration, United States.
Makoto JonesInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Richard NelsonInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, Veterans Affairs (VA) Salt Lake City Health Care System, Salt Lake City, UT, United States; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States; U.S. Department of Veterans Affairs, National Center on Homelessness among Veterans, Tampa, FL, United States.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Vascular Health and Risk Factors in Children with Down SyndromeKL2TR002539 · NCATS · UNIVERSITY OF UTAH · PI MURTAUGH, MAUREEN A, NYGAARD, INGRID E · 2018 to 2022
$4.3M
Measuring the impact of the Supportive Services for Veteran Families (SSVF) on Veteran outcomesI01HX002425 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI NELSON, RICHARD E. · 2019 to 2024
–
Informatics, Decision-Enhancement and Analytic Sciences CenterI50HX001240 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI SAMORE, MATTHEW H · 2015 to 2015
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Quality of Mental Health Services for Homeless Veterans in Primary Care SettingsIK2HX003090 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI AUDREY L JONES · 2021 to 2026
–
HSRD VA I01 HX002425HSRD VA I50 HX001240HSRD VA IK2 HX003090NCATS NIH HHS KL2 TR002539NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

Housing stability is an important determinant of health. The US Department of Veterans Affairs (VA) administers several programs to assist Veterans experiencing unstable housing. Measuring long-term housing stability of Veterans who receive assistance from VA is difficult due to a lack of standardized structured documentation in the Electronic Health Record (EHR). However, the text of clinical notes often contains detailed information about Veterans' housing situations that may be extracted using natural language processing (NLP). We present a novel NLP-based measurement of Veteran housing stability: Relative Housing Stability in Electronic Documentation (ReHouSED). We first develop and evaluate a system for classifying documents containing information about Veterans' housing situations. Next, we aggregate information from multiple documents to derive a patient-level measurement of housing stability. Finally, we demonstrate this method's ability to differentiate between Veterans who are stably and unstably housed. Thus, ReHouSED provides an important methodological framework for the study of long-term housing stability among Veterans receiving housing assistance.

Indexed as

Ill-Housed PersonsVeteransDocumentationElectronicsHousingHumansNatural Language ProcessingUnited StatesUnited States Department of Veterans AffairsHomelessnessInformation extractionNatural language processingSocial determinants of healthVeterans affairs

Identifiers

PMID34474188
PMCPMC8608249

What OpenQuestion holds

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Registered trials

None linked

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.