Evidence map›Paper›PMID 42135583›Full record

ArticleJournal of general internal medicine2026

Patient and Primary Care Characteristics Associated with Emergency Department Utilization Among Homeless-Experienced Veterans.

Erin F Shufflebarger, Aerin J deRussy, April E Hoge, Kevin R Riggs, Lillian Gelberg, Adam J Gordon, Audrey L Jones, Joshua S Richman, Ann Elizabeth Montgomery, Allyson L Varley and 1 more

Abstract read
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In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Erin F ShufflebargerBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA. erinshufflebarger@uabmc.edu.ORCID http://orcid.org/0000-0003-0067-4788
Aerin J deRussyBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA.
April E HogeBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA.
Kevin R RiggsBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA.
Lillian GelbergHSR&D Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Adam J GordonInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Audrey L JonesInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Joshua S RichmanBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA.
Ann Elizabeth MontgomeryBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA.
Allyson L VarleyBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA.
Stefan G KerteszBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA.

Funding

Greater Intermountain Node (CTN-0151)UG1DA049444 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Gerald T. Cochran, Adam Joseph Gordon · 2019 to 2026
$16.8M
Developing and Testing an Opioid Taper Intervention Before Total Knee ArthroplastyK23AR080224 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI RIGGS, KEVIN · 2022 to 2025
$654k
Health Services Research and Development IIR 15-095HSRD VA I01 HX001900HSRD VA IK2 HX003090NIAMS NIH HHS K23 AR080224NIDA NIH HHS UG1 DA049444
6 · The paper itself

Abstract

backgroundEfforts to address high emergency department (ED) use among persons experiencing homelessness may be strengthened by identifying risk factors and clarifying whether the primary care experience influences subsequent ED utilization. Although homeless-tailored primary care clinics receive more favorable patient ratings, it remains unclear whether patient experience or clinic type predicts future ED use.

objectiveTo identify clinical and social predictors of high ED utilization among homeless-experienced veterans (HEVs) and to test whether (a) unfavorable care ratings predict higher ED use and (b) care in homeless-tailored primary care clinics predicts lower ED use compared with mainstream clinics.

designA retrospective cohort study linking national survey data with electronic health record data was conducted to assess ED utilization during the 1-year following survey completion.

participantsFive thousand seventy-nine HEVs engaged in Veterans Health Administration primary care who completed the 2018 Primary Care Quality-Homeless Services Tailoring (PCQ-HoST) survey. MAIN MEASURES: Primary care type (homeless-tailored or mainstream), patient-reported primary care experience on a validated survey, and ED utilization (defined as high based on four or more visits).  KEY

resultsAmong 5079 HEVs, 474 (9.3%) had high ED utilization. High utilization was associated with current and chronic homelessness, chronic pain, medical and psychiatric comorbidities, and substance use disorders. An unfavorable primary care experience was associated with higher odds of subsequent high ED utilization (OR 1.31; 95% CI 1.26-1.68). Primary care clinic type was not independently associated with high ED utilization. In post hoc count-based models, care in a homeless-tailored clinic was associated with 0.15 fewer ED visits annually.

conclusionsAmong HEVs engaged in primary care, high ED utilization is driven primarily by clinical complexity and housing instability. However, an unfavorable patient-reported primary care experience was independently associated with subsequent ED use, suggesting that improving primary care interactions may contribute to broader efforts to address high ED utilization in this population.

Indexed as

emergency department utilizationhomelessnessprimary care experience

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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.