Evidence map›Paper›PMID 27919103›Full record

ArticleAnnals of internal medicine2017

Primary Care-Based Models for the Treatment of Opioid Use Disorder: A Scoping Review.

P Todd Korthuis, Dennis McCarty, Melissa Weimer, Christina Bougatsos, Ian Blazina, Bernadette Zakher, Sara Grusing, Beth Devine, Roger Chou

2 registry-linked trialsAbstract readScoping Review
In one paragraph

Article in Annals of internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 176 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 4 pooled it
20.9field-weighted citation impact, top 1% 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.

NCT04251208 completednot on this mapstarted 2019, after this paper: background citation

MOms in REcovery (MORE): Defining Optimal Care for Pregnant Women and Infants

TypeobservationalSponsorTrustees of Dartmouth CollegeRan2019 to 2024Enrolled444ConditionsOpioid-Related Disorders, NAS, Substance Use DisordersArmsObservational Study
NCT06576323 narecruitingnot on this mapstarted 2024, after this paper: background citation

An Intervention Mapping Approach to Closing the Gap in Maternal OUD and Infant NAS Care

TypeinterventionalSponsorUniversity of PennsylvaniaRan2024 to 2027Enrolled50ConditionsOpioid Use Disorder, Neonatal Abstinence SyndromeArmsAn implementation model for co-located Medications for Opioid Use Disorder (MOUD) prescription in the NICU
3 · Its place in the literature

Who cites it

176 citing papers in PubMed, 4 syntheses or guidelines pooled it, 297 citations in OpenAlex.

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116 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

P Todd KorthuisFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Dennis McCartyFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Melissa WeimerFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Christina BougatsosFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Ian BlazinaFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Bernadette ZakherFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Sara GrusingFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Beth DevineFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Roger ChouFrom Oregon Health & Science University, Portland, Oregon, and University of Washington, Seattle, Washington.
Oregon Health & Science University · US

Funding

Western States Node of the National Drug Abuse Treatment Clinical Trials Network (TMS for CUD) UG1DA015815 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Keith N. Humphreys, Philip Todd Korthuis · 2015 to 2026
$24.6M
Substance Abuse Treatment Pathways for Employee GroupsP50DA010233 · NIDA · BRANDEIS UNIVERSITY · PI HORGAN, CONSTANCE M. · 1995 to 2008
$6.8M
Buprenorphine to Improve HIV Care Engagement and Outcomes: A Randomized TrialR01DA037441 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KORTHUIS, PHILIP TODD · 2013 to 2018
$2.7M
NIDA NIH HHS P50 DA010233NIDA NIH HHS R01 DA037441NIDA NIH HHS UG1 DA015815
6 · The paper itself

Abstract

Greater integration of medication-assisted treatment (MAT) for opioid use disorder (OUD) in U.S. primary care settings would expand access to treatment for this condition. Models for integrating MAT into primary care vary in structure. This article summarizes findings of a technical report for the Agency for Healthcare Research and Quality describing MAT models of care for OUD, based on a literature review and interviews with key informants in the field. The report describes 12 representative models of care for integrating MAT into primary care settings that could be considered for adaptation across diverse health care settings. Common components of existing care models include pharmacotherapy with buprenorphine or naltrexone, provider and community education, coordination and integration of OUD treatment with other medical and psychological needs, and psychosocial services and interventions. Models vary in how each component is implemented. Decisions about adopting MAT models of care should be individualized to address the unique milieu of each implementation setting.

Indexed as

Opiate Substitution TreatmentBuprenorphineCombined Modality TherapyEducation, Medical, ContinuingHealth EducationHumansNaltrexoneNarcotic AntagonistsOpioid-Related DisordersPrimary Health CarePsychotherapyBuprenorphineNaltrexoneNarcotic Antagonists

Identifiers

PMID27919103
PMCPMC5504692
OpenAlexW2560789041

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.