Evidence map›Paper›PMID 35533634›Full record

ArticleThe International journal on drug policy2022

A mixed methods study of provider factors in buprenorphine treatment retention.

Alex K Gertner, Hannah Margaret Clare, Byron J Powell, Allison R Gilbert, Hendree E Jones, Pam Silberman, Christopher M Shea, Marisa Elena Domino

Abstract read
In one paragraph

Article in The International journal on drug policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  19. Retention in Telehealth Treatment for Opioid Use Disorder Among Rural Populations: A Retrospective Cohort Study.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023
    Article
  20. Observational
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.

Alex K GertnerUniversity of North Carolina School of Medicine, NC, United States. Electronic address: alex_gertner@med.unc.edu.
Hannah Margaret ClareUniversity of North Carolina Gillings School of Global Public Health, NC, United States.
Byron J PowellBrown School, Washington University in St. Louis, MO, United States; Institute for Public Health, Washington University in St. Louis, United States; School of Medicine, Washington University in St. Louis, United States.
Allison R GilbertDuke University School of Medicine, NC, United States.
Hendree E JonesDepartment of Obstetrics and Gynecology, University of North Carolina School of Medicine, NC, United States.
Pam SilbermanUniversity of North Carolina Gillings School of Global Public Health, NC, United States.
Christopher M SheaUniversity of North Carolina Gillings School of Global Public Health, NC, United States.
Marisa Elena DominoUniversity of North Carolina Gillings School of Global Public Health, NC, United States; Cecil G. Sheps Center for Health Services Research, NC, United States.

Funding

North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
Utilization and Access to Buprenorphine Treatment for Opioid Use Disorder in MedicaidF30DA044668 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GERTNER, ALEX · 2018 to 2022
$176k
NCATS NIH HHS UL1 TR001111NIDA NIH HHS F30 DA044668
6 · The paper itself

Abstract

backgroundLow retention is a persistent challenge in the delivery of buprenorphine treatment for opioid use disorder (OUD). The goal of this study was to identify provider factors that could drive differences in treatment retention while accounting for the contribution of patient characteristics to retention.

methodsWe developed a novel a mixed-methods approach to explore provider factors that could drive retention while accounting for patient characteristics. We used Medicaid claims data from North Carolina in the United States to identify patient characteristics associated with higher retention. We then identified providers who achieved high and low retention rates. We matched high- and low-retention providers on their patients' characteristics. This matching created high- and low-retention provider groups whose patients had similar characteristics. We then interviewed providers while blinded to which belonged in the high- and low-retention groups on aspects of their practice that could affect retention rates, such as treatment criteria, treatment cost, and services offered.

resultsLess than half of patients achieved 180-day treatment retention with large differences by race and ethnicity. We did not find evidence that providers who achieved higher retention consistently did so by providing more comprehensive services or selecting for more stable patients. Rather, our findings suggest use of "high-threshold" clinical approaches, such as requiring participation in psychosocial services or strictly limiting dosages, explain differences in retention rates between providers whose patients have similar characteristics. All low-retention providers interviewed used a high-threshold practice compared to half of high-retention providers interviewed. Requiring patients to participate in psychosocial services, which were often paid out-of-pocket, appeared to be especially important in limiting retention.

conclusionProviders who adopt low-threshold approaches to treatment may achiever higher retention rates than those who adopt high-threshold approaches. Addressing cost barriers and systemic racism are likely also necessary for improving buprenorphine treatment retention.

Indexed as

BuprenorphineOpioid-Related DisordersHumansNorth CarolinaOpiate Substitution TreatmentUnited StatesBuprenorphineBuprenorphineLow-threshold treatmentMixed methodsRetention

Identifiers

PMID35533634
PMCPMC9246997

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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.