Evidence map›Paper›PMID 31366408›Full record

ArticleAddiction science & clinical practice2019

Rural access to MAT in Pennsylvania (RAMP): a hybrid implementation study protocol for medication assisted treatment adoption among rural primary care providers.

Gerald Cochran, Evan S Cole, Jack Warwick, Julie M Donohue, Adam J Gordon, Walid F Gellad, Todd Bear, David Kelley, Ellen DiDomenico, Jan Pringle

Open access · goldAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Gerald CochranProgram for Addiction Research, Clinical Care, Education, and Advocacy, University of Utah School of Medicine, 30 N. 1900 E, Salt Lake City, UT, 84132, USA. jerry.cochran@hsc.utah.edu.
Evan S ColeUniversity of Pittsburgh Graduate School of Public Health, 130 De Soto St, Pittsburgh, PA, 15261, USA.
Jack WarwickUniversity of Pittsburgh Program Evaluation Research Unit, 5631 Baum Blvd, Pittsburgh, PA, 15206, USA.
Julie M DonohueUniversity of Pittsburgh Graduate School of Public Health, 130 De Soto St, Pittsburgh, PA, 15261, USA.
Adam J GordonProgram for Addiction Research, Clinical Care, Education, and Advocacy, University of Utah School of Medicine, 30 N. 1900 E, Salt Lake City, UT, 84132, USA.
Walid F GelladUniversity of Pittsburgh School of Medicine, 3550 Terrace St, Pittsburgh, PA, 15213, USA.
Todd BearUniversity of Pittsburgh Graduate School of Public Health, 130 De Soto St, Pittsburgh, PA, 15261, USA.
David KelleyPennsylvania Department of Human Services, 625 Forster St, Harrisburg, PA, 17120, USA.
Ellen DiDomenicoPennsylvania Department of Human Services, 625 Forster St, Harrisburg, PA, 17120, USA.
Jan PringleUniversity of Pittsburgh Program Evaluation Research Unit, 5631 Baum Blvd, Pittsburgh, PA, 15206, USA.
University of Pittsburgh · USPennsylvania Department of Human Services · USUniversity of Utah · US

Funding

Agency for Healthcare Research and Quality 5R18HS025072
6 · The paper itself

Abstract

backgroundThe continued escalation of opioid use disorder (OUD) calls for heightened vigilance to implement evidence-based care across the US. Rural care providers and patients have limited resources, and a number of barriers exist that can impede necessary OUD treatment services. This paper reports the design and protocol of an implementation study seeking to advance availability of medication assisted treatment (MAT) for OUD in rural Pennsylvania counties for patients insured by Medicaid in primary care settings.

methodsThis project was a hybrid implementation study. Within a chronic care model paradigm, we employed the Framework for Systems Transformation to implement the American Society for Addiction Medicine care model for the use of medications in the treatment of OUD. In partnership with state leadership, Medicaid managed care organizations, local care management professionals, the Universities of Pittsburgh and Utah, primary care providers (PCP), and patients; the project team worked within 23 rural Pennsylvania counties to engage, recruit, train, and collaborate to implement the OUD service model in PCP practices from 2016 to 2019. Formative measures included practice-level metrics to monitor project implementation, and outcome measures involved employing Medicaid claims and encounter data to assess changes in provider/patient-level OUD-related metrics, such as MAT provider supply, prevalence of OUD, and MAT utilization. Descriptive statistics and repeated measures regression analyses were used to assess changes across the study period. DISCUSSION: There is an urgent need in the US to expand access to high quality, evidence-based OUD treatment-particularly in rural areas where capacity is limited for service delivery in order to improve patient health and protect lives. Importantly, this project leverages multiple partners to implement a theory- and practice-driven model of care for OUD. Results of this study will provide needed evidence in the field for appropriate methods for implementing MAT among a large number of rural primary care providers.

Indexed as

Health Services AccessibilityHumansInterinstitutional RelationsMedicaidOpiate Substitution TreatmentOpioid-Related DisordersPennsylvaniaPrimary Health CareProgram DevelopmentProgram EvaluationQuality of Health CareReferral and ConsultationResearch DesignRural Health ServicesSocial WorkUnited StatesImplementationMedication assisted treatmentOpioid use disorderRural

Identifiers

PMID31366408
PMCPMC6670171
OpenAlexW2965550461

What OpenQuestion holds

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LicenceCC BY
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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.