Evidence map›Paper›PMID 37579107›Full record

ArticleJournal of addiction medicine

Clinician Perspectives on Delivering Medication Treatment for Opioid Use Disorder during the COVID-19 Pandemic: A Qualitative Evaluation.

Aline M Lott, Anissa N Danner, Carol A Malte, Emily C Williams, Adam J Gordon, Max A Halvorson, Andrew J Saxon, Hildi J Hagedorn, George G Sayre, Eric J Hawkins

Open access · greenAbstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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  7. 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

10 authors at 1 institution in 1 country.

Aline M LottFrom the Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, WA (AML, AND, CAM, AJS, EJH); Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research and Development, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA (AML, AND, CAM, ECW, AJS, GGS, EJH); Department of Health Systems and Population Health, University of Washington, Seattle, WA (ECW); Informatics, Decision-Enhancement, and Analytic Sciences Center, Health Services Research and Development, VA Salt Lake City Health Care System, Salt Lake City, UT (AJG); Program for Addiction Research, Clinical Care, Knowledge and Advocacy, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT (AJG); VA Puget Sound Health Care System, Seattle, WA (MAH); Department of Psychology, University of Washington, Seattle, WA (MAH); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA (AJS, EJH); Center for Care Delivery and Outcomes Research, Health Services Research and Development, Minneapolis VA Health Care System, Minneapolis, MN (HJH); Department of Psychiatry, University of Minnesota, Minneapolis, MN (HJH); and Department of Health Services, University of Washington, Seattle, WA (GGS).
Anissa N Danner
Carol A Malte
Emily C Williams
Adam J Gordon
Max A Halvorson
Andrew J Saxon
Hildi J Hagedorn
George G Sayre
Eric J Hawkins
VA Puget Sound Health Care System · US

Funding

Evaluating the Implementation of the VA Stepped Care for Opioid Use Disorder Train-the-Trainer (SCOUTT) ProgramI50HX002784 · VA · VA PUGET SOUND HEALTHCARE SYSTEM · PI HAWKINS, ERIC · 2020 to 2021
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HSRD VA I50 HX002784
6 · The paper itself

Abstract

objectiveThe coronavirus disease 2019 (COVID-19) pandemic necessitated changes in opioid use disorder care. Little is known about COVID-19's impact on general healthcare clinicians' experiences providing medication treatment for opioid use disorder (MOUD). This qualitative evaluation assessed clinicians' beliefs about and experiences delivering MOUD in general healthcare clinics during COVID-19.

methodsIndividual semistructured interviews were conducted May through December 2020 with clinicians participating in a Department of Veterans Affairs initiative to implement MOUD in general healthcare clinics. Participants included 30 clinicians from 21 clinics (9 primary care, 10 pain, and 2 mental health). Interviews were analyzed using thematic analysis.

resultsThe following 4 themes were identified: overall impact of the pandemic on MOUD care and patient well-being, features of MOUD care impacted, MOUD care delivery, and continuance of telehealth for MOUD care. Clinicians reported a rapid shift to telehealth care, resulting in few changes to patient assessments, MOUD initiations, and access to and quality of care. Although technological challenges were noted, clinicians highlighted positive experiences, including treatment destigmatization, more timely visits, and insight into patients' environments. Such changes resulted in more relaxed clinical interactions and improved clinic efficiency. Clinicians reported a preference for in-person and telehealth hybrid care models.

conclusionsAfter the quick shift to telehealth-based MOUD delivery, general healthcare clinicians reported few impacts on quality of care and highlighted several benefits that may address common barriers to MOUD care. Evaluations of in-person and telehealth hybrid care models, clinical outcomes, equity, and patient perspectives are needed to inform MOUD services moving forward.

Indexed as

BuprenorphineCOVID-19Opioid-Related DisordersTelemedicineCognitionHumansPandemicsBuprenorphine

Identifiers

PMID37579107
PMCPMC10417321
OpenAlexW4322757294

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.