Evidence map›Paper›PMID 35794653›Full record

ArticleImplementation science communications2022

Expanding access to medications for opioid use disorder in primary care clinics: an evaluation of common implementation strategies and outcomes.

Hannah Cheng, Mark P McGovern, Hélène Chokron Garneau, Brian Hurley, Tammy Fisher, Meaghan Copeland, Daniel Almirall

Abstract read
In one paragraph

Article in Implementation science communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 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

7 authors.

Hannah ChengCenter for Behavioral Health Services and Implementation Research, Division of Public Mental Health and Population Sciences, Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA. chenghh@stanford.edu.ORCID http://orcid.org/0000-0001-8144-5340
Mark P McGovernCenter for Behavioral Health Services and Implementation Research, Division of Public Mental Health and Population Sciences, Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA.
Hélène Chokron GarneauCenter for Behavioral Health Services and Implementation Research, Division of Public Mental Health and Population Sciences, Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA.
Brian HurleyLos Angeles County Department of Public Health, Los Angeles, CA, USA.
Tammy FisherAledade, Inc., Bethesda, MD, USA.
Meaghan CopelandCenter for Care Innovations, Oakland, CA, USA.
Daniel AlmirallInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.

Funding

Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDA M COLLINS, SUSAN A MURPHY · 2021 to 2026
$18.2M
Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
Stagewise Implementation-To-Target- Medications for Addiction Treatment (SITT-MAT)R01DA052975 · NIDA · STANFORD UNIVERSITY · PI FORD, JAMES H, MCGOVERN, MARK P · 2021 to 2025
$3.3M
California Department of Health Care Services 18-95529NIDA NIH HHS 1R01DA052975NIDA NIH HHS P50 DA054039NIDA NIH HHS P50DA054039NIDA NIH HHS R01 DA039901NIDA NIH HHS R01DA039901NIDA NIH HHS R01 DA052975
6 · The paper itself

Abstract

backgroundTo combat the opioid epidemic in the USA, unprecedented federal funding has been directed to states and territories to expand access to prevention, overdose rescue, and medications for opioid use disorder (MOUD). Similar to other states, California rapidly allocated these funds to increase reach and adoption of MOUD in safety-net, primary care settings such as Federally Qualified Health Centers. Typical of current real-world implementation endeavors, a package of four implementation strategies was offered to all clinics. The present study examines (i) the pre-post effect of the package of strategies, (ii) whether/how this effect differed between new (start-up) versus more established (scale-up) MOUD practices, and (iii) the effect of clinic engagement with each of the four implementation strategies.

methodsForty-one primary care clinics were offered access to four implementation strategies: (1) Enhanced Monitoring and Feedback, (2) Learning Collaboratives, (3) External Facilitation, and (4) Didactic Webinars. Using linear mixed effects models, RE-AIM guided outcomes of reach, adoption, and implementation quality were assessed at baseline and at 9 months follow-up.

resultsOf the 41 clinics, 25 (61%) were at MOUD start-up and 16 (39%) were at scale-up phases. Pre-post difference was observed for the primary outcome of percent of patient prescribed MOUD (reach) (β

conclusionsRather than providing an all-clinics-get-all-components package of implementation strategies, these data suggest that it may be more efficient and effective to tailor the provision of implementation strategies based on the needs of clinic. Future implementation endeavors could benefit from (i) greater precision in the provision of implementation strategies based on contextual determinants, and (ii) the inclusion of strategies targeting engagement.

Indexed as

Dissemination and implementation scienceImplementation scienceImplementation strategiesOpioid use disorderPublic health

Identifiers

PMID35794653
PMCPMC9258188

What OpenQuestion holds

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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.