Evidence map›Paper›PMID 40865641›Full record

ArticleJournal of substance use and addiction treatment2025

Factors associated with mortality following hospitalization among veterans with opioid use disorder.

Michael A Incze, Sophia Huebler, Jacob D Baylis, Andrea Stofko, A Taylor Kelley, Ingrid A Binswanger, Gavin Bart, Andrew J Saxon, Ajay Manhapra, Adam J Gordon

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2025. 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.

Michael A InczeDivision of General Internal Medicine, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Program of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA. Electronic address: michael.incze@hsc.utah.edu.
Sophia HueblerProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Intermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA; Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Jacob D BaylisProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Andrea StofkoProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
A Taylor KelleyDivision of General Internal Medicine, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Ingrid A BinswangerInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA; Colorado Permanente Medical Group, Denver, CO, USA; Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA; Department of Health Systems Science, Bernard J. Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA.
Gavin BartDepartment of Medicine, Hennepin Healthcare, 701 Park Avenue, Minneapolis, MN 55415, USA.
Andrew J SaxonCenter of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, WA, USA; Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Ajay ManhapraHampton VA Medical Center, Hampton, VA, USA; Departments of Physical medicine and Rehabilitation and Psychiatry, Eastern Virginia Medical School, Norfolk, VA, USA.
Adam J GordonProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.

Funding

Suicide Prediction and Prevention for People at Risk for Opioid Use DisorderUG1DA040316 · NIDA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI GAVIN BART · 2015 to 2026
$42.2M
Project-002UG1DA040314 · NIDA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Ingrid A Binswanger, CYNTHIA I CAMPBELL · 2015 to 2026
$34.9M
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
Development and Implementation of a Community-Led Research Program in the Utah Navajo Health SystemOT2DA061144 · NIDA · UTAH NAVAJO HEALTH SYSTEM, INC. · PI Rick Hendy, Alan Taylor Kelley · 2024 to 2026
$1.9M
Evaluating an Interdisciplinary Intervention to Improve Transitions to Primary Care for Hospitalized Patients with Substance Use DisordersK23DA062174 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Michael Incze · 2025 to 2026
$421k
HSRD VA IK2 HX003531NIDA NIH HHS K23 DA062174NIDA NIH HHS OT2 DA061144NIDA NIH HHS UG1 DA040314NIDA NIH HHS UG1 DA040316NIDA NIH HHS UG1 DA049444
6 · The paper itself

Abstract

introductionHospitalizations are common among people with opioid use disorder (OUD). While hospitalizations represent opportunities to engage patients and offer treatment, they are also destabilizing events associated with an increased risk of death in the post-hospitalization period.

methodsWe conducted a retrospective cohort study within the Veterans Health Administration including all Veterans with OUD who experienced at least one medical hospitalization between January 2011 and December 2021. We examined which patient-level clinical and demographic factors were associated with all-cause and opioid-related mortality within 0-30 and 0-365 days following an index medical hospitalization.

resultsThe cohort included 90,920 Veterans with OUD who experienced one or more medical hospitalizations during the study period. Median age was 58 years, and 93 % were male. Older age (adjusted Odds Ratio [aOR] range 30d: 1.50-2.66; 1y: 1.58-3.28), higher medical complexity (aOR range 30d: 2.11-6.23; 1y: 1.96-7.34), multiple substance use disorders (SUD; aOR 30d: 1.81 (95 % CI 1.44, 2.27) 1y: 1.48 [95 % CI 1.36, 1.62]), and length of hospitalization (aOR 30d: 6.78 [95 % CI 4.85, 9.47] 1y: 3.45 [95 % CI 2.96, 4.01]) were associated with increased all-cause mortality following hospitalization. Homelessness (aOR 30d: 0.75 [95 % CI 0.63, 0.90]; 1y: 0.85 [95 % CI 0.80, 0.91]), depression (aOR 1y: 0.89 [95 % CI 0.84, 0.95]), bipolar disorder (aOR 1y: 0.88 [95 % CI 0.82, 0.94]), buprenorphine receipt (aOR 1y: 0.79 [95 % CI 0.69, 0.91]), and service connection (aOR 30d: 0.76 [95 % CI 0.60, 0.97] 1y: 0.64 [95 % CI 0.59, 0.70]) were associated with reduced all-cause mortality. Younger age (aOR range 30d: 3.21-5.24; 1y: 2.71-2.38), homelessness (aOR 1y: 1.40 [95 % CI 1.20, 1.63]), and multiple SUD (aOR 1y: 1.78 [95 % CI 1.33, 2.38]) were among factors associated with increased opioid-related mortality after hospitalization. Black race (aOR 1y: 0.61 [95 % CI 0.50, 0.74]) and higher service connection (aOR 30d: 0.41 [95 % CI 0.21, 0.81]; 1y: 0.53 [95 % CI 0.43-0.66]) were associated with reduced opioid-related mortality after hospitalization.

conclusionsSeveral patient-level factors were associated with increased all-cause mortality (e.g., length of hospital stay), reduced all-cause mortality (e.g., homelessness), increased opioid-related mortality (e.g., multiple SUD), and reduced opioid-related mortality (e.g., service connection) after hospitalization. This information provides a roadmap for future development and study of tailored supports and risk stratification tools to enhance post-hospitalization transitional care for patients with OUD.

Indexed as

Discharge planningOpioid related disorderOpioid use disordersPatient navigationRisk assessmentTransitional care

Identifiers

PMID40865641
PMCPMC12488471

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.