Evidence map›Paper›PMID 42869778›Full record

ArticleHealth services research2026

Impact of a National Stepped-Care Model of Opioid Use Disorder Treatment on Access to Medication Therapies Among Homeless-Experienced Veterans.

Haojia Li, Jacob D Baylis, Sophia Huebler, Adam J Gordon, Eric Hawkins, Hildi J Hagedorn, Stefan G Kertesz, Ying Suo, Yue Zhang, Audrey L Jones

Abstract read
In one paragraph

Article in Health services research, 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

10 authors.

Haojia LiDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-1295-4341
Jacob D BaylisDepartment of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-8251-4704
Sophia HueblerDepartment of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0001-9940-9604
Adam J GordonDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-2453-8871
Eric HawkinsHealth Systems Research (HSR) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, Washington, USA.ORCID https://orcid.org/0000-0001-5467-1553
Hildi J HagedornCenter of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-5118-7624
Stefan G KerteszBirmingham VA Health Care System, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0001-6101-8421
Ying SuoDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Yue ZhangDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Audrey L JonesDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0003-1533-7469

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Greater Intermountain Node (CTN-0151)UG1DA049444 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Gerald T. Cochran, Gerald T. Cochran · 2019 to 2026
$16.8M
HSRD VA IK2 HX003090National Center for Research Resources, National Institutes of Health and the National Center for Advancing Translational Sciences UM1TR004409National Institute of Drug Abuse, National Institutes of Health UG1DA049444-01NCATS NIH HHS UM1 TR004409NIDA NIH HHS UG1 DA049444Quality Enhancement Research Initiative EBP 22-109University of Utah Translational Research: Implementation, Analysis, & Design TeamUS Department of Veterans Affairs Health Services Research & Development CDA 19-233VA Salt Lake City Health Care System's Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center of Innovation CIN 13-414
6 · The paper itself

Abstract

objectiveTo determine whether the Veterans Health Administration's (VHA) Stepped Care for Opioid Use Disorder Train-the-Trainer (SCOUTT) initiative increased medication treatment for opioid use disorder (MOUD) among persons experiencing homelessness (PEH). STUDY SETTING AND

designWe conducted a national retrospective cohort study of MOUD, including buprenorphine, naltrexone, or methadone, in federal fiscal years (FY) 2016-2020. In late FY2018, VHA regional directors nominated facilities to receive SCOUTT implementation support to expand prescribing of MOUD (primarily buprenorphine) in select primary care, pain, and general mental health settings. We used mixed-effects quasi-Poisson regression models with entropy balancing to estimate the Average Treatment Effect on the Treated in the years after SCOUTT was implemented (FY2019-2020), controlling for pre-implementation levels of MOUD. Secondary analyses applied synthetic difference-in-differences (DiD) to estimate changes associated with SCOUTT. DATA SOURCES AND ANALYTIC SAMPLE: We used yearly pooled cross-sectional data from VHA electronic health records, FY2016-2020. The sample included annual cohorts of PEH with an opioid use disorder diagnosis and ≥ 1 primary care visit in the pre-implementation (FY2016-2018, n = 31,354) or post-implementation (FY2019-2020, n = 20,746) periods. PRINCIPAL

findingsFrom FY2016-2020, MOUD receipt increased more in SCOUTT facilities (n = 30, 45.0% to 61.1%) than in non-SCOUTT facilities (n = 811, 41.9% to 49.7%). In post-implementation years, PEH in SCOUTT facilities, compared to non-SCOUTT facilities, were more likely to receive any MOUD (risk difference [RD] = 6.16, 95% CI = 2.33-9.99), including buprenorphine (RD = 7.16, 95% CI = 4.35-9.97). There were no significant differences in methadone (RD = -0.19, 95% CI = -1.03-0.65) or naltrexone (RD = 0.10, 95% CI = -1.85-2.05). Synthetic DiD offered similar results: any MOUD DiD = 7.85, 95% CI = 2.15-13.55; buprenorphine DiD = 9.31, 95% CI = 3.56-15.06.

conclusionsA national initiative to advance a stepped-care model that encourages MOUD initiation outside specialty addiction settings improved access to buprenorphine among PEH. Similar initiatives could help to close treatment gaps in health care settings serving PEH.

Indexed as

Health Services AccessibilityIll-Housed PersonsOpiate Substitution TreatmentOpioid-Related DisordersVeteransBuprenorphineHumansMethadoneNaltrexoneRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsBuprenorphineMethadoneNaltrexonebuprenorphinehomelessimplementation scienceopioid use disorder

Identifiers

PMID42869778
PMCPMC13661296

What OpenQuestion holds

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Registered trials

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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.