Evidence map›Paper›PMID 37196572›Full record

ArticleDrug and alcohol dependence2023

Buprenorphine use and courses of care for opioid use disorder treatment within the Veterans Health Administration.

Adam J Gordon, Andrew J Saxon, Stefan Kertesz, Jessica J Wyse, Ajay Manhapra, Lewei A Lin, Wei Chen, Jared Hansen, Derek Pinnell, Tina Huynh and 6 more

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

16 authors at 10 institutions in 1 country.

Adam J GordonDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision Enhancement, and Analytics Science (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA. Electronic address: adam.gordon@hsc.utah.edu.
Andrew J SaxonDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA; Center of Excellence in Substance Addiction Treatment and Education (CESATE), VA Puget Sound Health Care System, Seattle, WA, USA.
Stefan KerteszBirmingham Veterans Affairs Health Care System, Birmingham, AL, USA; Department of Medicine, Heersink UAB School of Medicine, Birmingham, AL, USA.
Jessica J WyseCenter to Improve Veteran Involvement in Care (CIVIC), VA Portland Health CareSystem, Portland, OR, USA; School of Public Health, Oregon Health & Science University-Portland State University,PortlandOR, USA.
Ajay ManhapraSection of Pain Medicine, Department of Physical Medicine & Rehabilitation Services, Hampton VA Medical Center, Hampton, VA, USA.
Lewei A LinVA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Wei ChenDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision Enhancement, and Analytics Science (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Jared HansenDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision Enhancement, and Analytics Science (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Derek PinnellDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision Enhancement, and Analytics Science (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Tina HuynhDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision Enhancement, and Analytics Science (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Jacob D BaylisDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision Enhancement, and Analytics Science (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Francesca E CunninghamDepartment of Veterans Affairs Pharmacy Benefits Management Services, Hines, IL, USA.
Udi E GhitzaCenter for the Clinical Trials Network (CCTN), National Institute on Drug Abuse (NIDA), Bethesda, MD, USA.
Gavin BartHennepin Healthcare, University of Minnesota Medical School, Minneapolis, MN, USA.
Hong YuCenter for Biomedical and Health Research in Data Sciences and Miner School of Computer & Information Sciences, University of Massachusetts Lowell, Lowell, MA, USA; Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA.
Brian C SauerDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; Informatics, Decision Enhancement, and Analytics Science (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
University of Utah · USVA Salt Lake City Healthcare System · USBirmingham VA Medical Center · USHampton VA Medical Center · USHennepin Healthcare Research Institute · USNational Institute on Drug Abuse · USUniversity of Massachusetts Lowell · USVA Ann Arbor Healthcare System · USVA Portland Health Care System · USVA Puget Sound Health Care System · US

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
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 HX002612HSRD VA IK2 HX003007NIDA NIH HHS UG1 DA040316NIDA NIH HHS UG1 DA049444
6 · The paper itself

Abstract

backgroundRetention of patients in buprenorphine medication treatment for opioid use disorder (B-MOUD) reduces harms associated with opioid use disorder (OUD). We sought to characterize the patients receiving B-MOUD and courses of B-MOUD in a large healthcare system.

methodsWe conducted a retrospective, open cohort study of patients with OUD who either did or did not receive B-MOUD courses within the Veterans Health Administration (VHA) from January 2006 through July 2019, using VHA clinical data. We compared patients receiving or not receiving B-MOUD, characterized B-MOUD courses (e.g., length and doses), and examined persistence, across patient characteristics, over time. We used analyses for normally or non-normally distributed continuous variables, categorical data, and persistence over time (Kaplan-Meier persistence curves).

resultsWe identified 255,726 Veterans with OUD; 40,431 (15.8%) had received 63,929 B-MOUD courses. Compared to patients with OUD without B-MOUD, patients with B-MOUD were younger, more often of white race, and had more co-morbidities. The frequency of new B-MOUD starts and prevalent B-MOUD patients ranged from 1550 and 1989 in 2007 to 8146 and 16,505 in 2018, respectively. The median duration of B-MOUD was 157 (IQR: 37-537) days for all courses and 33.8% patients had more than one course. The average proportion days covered was 90% (SD: 0.15), and the average prescribed daily dose was 13.44 (SD: 6.5).

conclusionsWithin a VHA B-MOUD cohort, courses increased more than 10-fold from 2006 to 2016 with nearly half of patients experiencing multiple courses. Patient demographics seem to dictate the length of courses.

Indexed as

BuprenorphineOpioid-Related DisordersCohort StudiesHumansRetrospective StudiesVeterans HealthBuprenorphineBuprenorphineOpioid-Related Disorders

Identifiers

PMID37196572
PMCPMC10875624
OpenAlexW4367693677

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.