Evidence map›Paper›PMID 36563489›Full record

ArticleThe International journal on drug policy2023

Multidimensional assessment of access to medications for opioid use disorder across urban and rural communities: A scoping review.

Tanner Bommersbach, Marissa Justen, Amanda M Bunting, Melissa C Funaro, Erin L Winstanley, Paul J Joudrey

Abstract readScoping Review
In one paragraph

Article in The International journal on drug policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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.

Tanner BommersbachDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA. Electronic address: tanner.bommersbach@gmail.com.
Marissa JustenYale University School of Medicine, New Haven, CT, USA.
Amanda M BuntingDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Melissa C FunaroHarvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, CT, USA.
Erin L WinstanleyDepartment of Behavioral Medicine and Psychiatry, School of Medicine, West Virginia University, Morgantown, WV, USA; Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA.
Paul J JoudreyDivision of General Internal Medicine, Center for Research on Health Care, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Project-008UG1DA049436 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jane M. Liebschutz, Erin L Winstanley · 2019 to 2026
$10.5M
Yale Drug use, Addiction and HIV Research Scholars (DAHRS)K12DA033312 · NIDA · YALE UNIVERSITY · PI Gail D'Onofrio, Patrick O'Connor · 2013 to 2026
$7.2M
The Lifespan/Brown Criminal Justice Research Program on Substance Use and HIVR25DA037190 · NIDA · MIRIAM HOSPITAL · PI CURT G BECKWITH · 2014 to 2026
$3.5M
Development of a novel polysubstance assessment tool for vulnerable subpopulationsK01DA053435 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUNTING, AMANDA M · 2021 to 2025
$909k
NIDA NIH HHS K01 DA053435NIDA NIH HHS K12 DA033312NIDA NIH HHS L30 DA052056NIDA NIH HHS R25 DA037190NIDA NIH HHS UG1 DA049436
6 · The paper itself

Abstract

backgroundThe majority of patients with opioid use disorder do not receive medications for opioid use disorder (MOUD), especially in rural areas. The patient-centered access to healthcare framework posits access as a multidimensional phenomenon impacted by five healthcare system and five patient ability dimensions. Interventions to improve local MOUD treatment outcomes require an understanding of how these dimensions differ across urban and rural communities. This scoping review sought to systematically appraise the literature on MOUD access across urban and rural communities (i.e., rurality) in the US using the patient-centered access framework.

methodsWe performed a scoping review of 1) electronic databases, 2) grey literature, and 3) correspondence with content experts (March 2021). We included articles specifying the study sample by rurality and examining at least one dimension of access to MOUD. The analysis and qualitative synthesis of study results examined study characteristics and categorized key findings by access dimensions.

resultsThe search produced 3963 unique articles, of which 147 met inclusion criteria. Among included studies, 96% (142/147) examined healthcare system dimensions of access while less than 20% (25/147) examined any of the five dimensions of patient ability. Additionally, 49% (72/147) of studies compared access dimensions by rurality. Across studies, increasing rurality was associated with fewer available MOUD services, but little was known about geographic variation in other critical dimensions of access.

conclusionsThe vast majority of studies examined healthcare system dimensions of MOUD access and few studies made comparisons by rurality or prioritized the patient's perspective, limiting our understanding of how access differs by rurality in the US. As COVID-19 spurs novel changes in MOUD delivery, this inadequate multidimensional understanding of MOUD access may impede the tailoring of interventions to local needs. There is an urgent need for mixed-methods and community-engaged research prioritizing the patient's perspective of MOUD access by rurality. REGISTRATION: Open Science Framework (https://osf.io/wk6b9/).

Indexed as

BuprenorphineCOVID-19Opioid-Related DisordersDatabases, FactualHealth Services AccessibilityHumansOpiate Substitution TreatmentRural PopulationBuprenorphineAbuseAddictionDisparitiesHealth servicesRural healthSubstance use

Identifiers

PMID36563489
PMCPMC12884708

What OpenQuestion holds

Textmetadata
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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.