Evidence map›Paper›PMID 30867068›Full record

ArticleAddiction science & clinical practice2019

Provider and patient perspectives on barriers to buprenorphine adherence and the acceptability of video directly observed therapy to enhance adherence.

Margo E Godersky, Andrew J Saxon, Joseph O Merrill, Jeffrey H Samet, Jane M Simoni, Judith I Tsui

Abstract read
In one paragraph

Article in Addiction science & clinical practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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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

6 authors.

Margo E GoderskyDivision of General Internal Medicine, Department of Medicine, University of Washington, 325 9th Avenue, Seattle, WA, 98104, USA.
Andrew J SaxonCenter of Excellence in Substance Abuse Treatment and Education, VA Puget Sound Health Care System, 1660 S Columbian Way, Seattle, WA, 98108, USA.
Joseph O MerrillDivision of General Internal Medicine, Department of Medicine, University of Washington, 325 9th Avenue, Seattle, WA, 98104, USA.
Jeffrey H SametDivision of General Internal Medicine, Department of Medicine, Boston Medical Center, 801 Massachusetts Ave, Boston, MA, 02118, USA.
Jane M SimoniDepartment of Psychiatry and Behavioral Sciences, University of Washington, 1959 NE Pacific St, Seattle, WA, 98195, USA.
Judith I TsuiDivision of General Internal Medicine, Department of Medicine, University of Washington, 325 9th Avenue, Seattle, WA, 98104, USA. tsuij@uw.edu.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Development and Evaluation of Video-Based Directly Observed Therapy for Office-Based Treatment of Opioid Use Disorders with BuprenorphineR44DA044053 · NIDA · EMOCHA MOBILE HEALTH, INC. · PI SEIGUER, SEBASTIAN, TSUI, JUDITH · 2017 to 2019
$2.8M
NIAID NIH HHS P30 AI027757NIDA NIH HHS R44 DA044053
6 · The paper itself

Abstract

backgroundBuprenorphine effectively reduces opioid craving and illicit opioid use. However, some patients may not take their medication as prescribed and thus experience suboptimal outcomes. The study aim was to qualitatively explore buprenorphine adherence and the acceptability of utilizing video directly observed therapy (VDOT) among patients and their providers in an office-based program.

methodsClinical providers (physicians and staff; n = 9) as well as patients (n = 11) were recruited from an office-based opioid treatment program at an urban academic medical center in the northwestern United States. Using a semi-structured guide, interviewers conducted individual interviews and focus group discussions. Interviews were digitally recorded and transcribed verbatim. Transcripts were independently coded to identify key themes related to non-adherence and then jointly reviewed in an iterative fashion to develop a set of content codes.

resultsAmong providers and patients, perceived reasons for buprenorphine non-adherence generally fell into several thematic categories: social and structural factors that prevented patients from consistently accessing medications or taking them reliably (e.g., homelessness, transportation difficulties, chaotic lifestyles, and mental illness); refraining from taking medication in order to use illicit drugs or divert; and forgetting to take medication, especially in the setting of taking split-doses. Some participants perceived non-adherence to be less of a problem for buprenorphine than for other medications. VDOT was viewed as potentially enhancing patient accountability, leading to more trust from providers who are concerned about diversion. On the other hand, some participants expressed concern that VDOT would place undue burden on patients, which could have the opposite effect of eroding patient-provider trust. Others questioned the clinical indication.

conclusionsFindings suggest potential arenas for enhancing buprenorphine adherence, although structural barriers will likely be most challenging to ameliorate. Providers as well as patients indicated mixed attitudes toward VDOT, suggesting it would need to be thoughtfully implemented.

Indexed as

Medication AdherenceAcademic Medical CentersAdultAttitude of Health PersonnelBuprenorphineDirectly Observed TherapyFemaleHealth Knowledge, Attitudes, PracticeHumansInterviews as TopicMaleMental DisordersMiddle AgedNarcotic AntagonistsOpiate Substitution TreatmentOpioid-Related DisordersBuprenorphineNarcotic AntagonistsAdherenceHealth technologyOpioid agonist therapyOpioid use disorderQualitative research

Identifiers

PMID30867068
PMCPMC6417248

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.