Evidence map›Paper›PMID 39067770›Full record

ArticleJournal of substance use and addiction treatment2024

Are gaps in rates of retention on buprenorphine for treatment of opioid use disorder closing among veterans across different races and ethnicities? A retrospective cohort study.

Corey J Hayes, Rebecca A Raciborski, Bradley C Martin, Adam J Gordon, Teresa J Hudson, Clare C Brown, George Pro, Michael A Cucciare

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Corey J HayesDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Institute for Digital Health and Innovation, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA. Electronic address: cjhayes@uams.edu.
Rebecca A RaciborskiCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA; Behavioral Health Quality Enhancement Research Initiative, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA; Evidence, Policy, and Implementation Center, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA.
Bradley C MartinDivision of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Adam J GordonInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center, VA Salt Lake City Healthcare System, Salt Lake City, UT, USA; Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA.
Teresa J HudsonCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA; Center for Health Services Research, Department of Psychiatry, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Emergency Medicine, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Clare C BrownDepartment of Health Policy and Management, College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
George ProDepartment of Health Behavior and Health Education, College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Michael A CucciareCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA; Center for Health Services Research, Department of Psychiatry, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Veterans Affairs South Central Mental Illness Research, Education and Clinical Center, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA.

Funding

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
Algorithmic fairness in predictive models to eliminate disparities in adverse infant outcomes: A case for raceK01MD018072 · NIMHD · UNIV OF ARKANSAS FOR MED SCIS · PI BROWN, CLARE C · 2022 to 2025
$496k
Data to Clinical Action: Using Predictive Analytics to Improve Care of Veterans with Opioid Use DisorderIK2HX003358 · VA · CENTRAL ARKANSAS VETERANS HLTHCARE SYS · PI Corey J Hayes · 2022 to 2026
–
HSRD VA IK2 HX003358NIDA NIH HHS UG1 DA049444NIMHD NIH HHS K01 MD018072
6 · The paper itself

Abstract

introductionThe U.S. Veterans Health Administration has undertaken several initiatives to improve veterans' access to and retention on buprenorphine because it prevents overdose and reduces drug-related morbidity. We aimed to determine whether improvements in retention duration over time was equitable across veterans of different races and ethnicities.

methodsThis retrospective cohort study was conducted among veterans who initiated buprenorphine from federal fiscal years (FY) 2006 to 2020 after diagnosis of opioid use disorder. Using an accelerated failure time model, we estimated the association between time to buprenorphine discontinuation and FY of initiation, race and ethnicity, and other control covariates. We followed veterans from buprenorphine initiation until they discontinued or had a censoring event. We then estimated the predicted median days retained on buprenorphine, the average marginal effect of initiating in a later FY, the same measure by race and ethnicity, the incremental effect of the various racial and ethnic identities in contrast to non-Hispanic White, and the total change in the size of the gap over the 15 years of the study between veterans with a minoritized racial or ethnic identity compared to non-Hispanic White veterans.

resultsMost of the 31,797 veterans in the sample were non-Hispanic White (74.5 %), from urban areas (83.5 %), male (92.0 %), and had significant comorbidities, most frequently anxiety disorders (51.0 %) and depression (63.0 %). Overall, 49.8 % of veterans were retained at least 180 days. The average marginal effect of FY was 7.0 days [95%CI:5.3, 8.8] but was significantly smaller among veterans identifying as Black or African American [3.2 days; 95%CI:2.4, 4.1] or Asian [3.6 days; 95%CI:1.6, 5.7] compared to veterans who identify as non-Hispanic White [7.9 days; 95%CI:5.9, 9.9]. Additional measures of change were significant for veterans identifying as Hispanic White or with two or more races.

conclusionAlthough buprenorphine retention in OUD treatment improved for all veterans over the 15-year study period, veterans from most minoritized racial and ethnic groups fell further behind as gains in duration on therapy accrued primarily to non-Hispanic White veterans. Targeted interventions addressing specific challenges experienced by veterans with minoritized identities are needed to close gaps in retention on buprenorphine.

Indexed as

BuprenorphineOpiate Substitution TreatmentOpioid-Related DisordersVeteransAdultEthnicityFemaleHumansMaleMiddle AgedRacial GroupsRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsBuprenorphineBuprenorphineDisparitiesHealth equityOpioid use disorderRetention

Identifiers

PMID39067770
PMCPMC11392633

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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.