Evidence map›Paper›PMID 42522448›Full record

ArticleSubstance use & addiction journal2026

Elevating Patient Voices to Improve Opioid Use Disorder Quality Measurement: A Survey Protocol.

Andrew J Barnes, Caroline Hale, Zoe D'Angelo, Susan Kennedy, J Tyrus Reidt, Christine McClure, Sarah J Marks, Tonya T Harris, Leah Reine, Leonor Gualchi and 7 more

Abstract read
In one paragraph

Article in Substance use & addiction journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Andrew J BarnesDepartment of Health Policy, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-0357-3934
Caroline HaleAcademyHealth, Washington, DC, USA.
Zoe D'AngeloAcademyHealth, Washington, DC, USA.
Susan KennedyAcademyHealth, Washington, DC, USA.
J Tyrus ReidtVirginia Mason Medical Center, Seattle, WA, USA.
Christine McClureDepartment of Health Policy and Management, University of Pittsburgh, PA, USA.ORCID 0000-0003-3865-9022
Sarah J MarksDepartment of Health Policy, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-3468-3474
Tonya T HarrisWeKonnect, LLC, Philadelphia, PA, USA.
Leah ReineHEAL Connections, Bethesda, MD, USA.
Leonor GualchiHEAL Connections, Bethesda, MD, USA.
Marissa KlukDepartment of Community and Behavioral Health, East Tennessee State University, Johnson City, TN, USA.ORCID 0009-0005-7976-4779
Indida I BirtoEmPOWER, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Marguerite BurnsDepartment of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.ORCID 0000-0002-0625-2861
Rose S BonoDepartment of Health Policy, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-8980-5678
Adam J GordonProgram for Addiction Research, Clinical Care, Knowledge and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0002-2453-8871
Julie M DonohueDepartment of Health Policy and Management, University of Pittsburgh, PA, USA.
Sarah J ClarkDepartment of Pediatrics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-8859-731X

Funding

Greater Intermountain Node (CTN-0151)UG1DA049444 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Gerald T. Cochran, Gerald T. Cochran · 2019 to 2026
$16.8M
Improving quality measurement for opioid use disorder treatment using a multi-state Medicaid research networkRM1DA059365 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Andrew James Barnes, Julie Marie Donohue · 2023 to 2026
$9.3M
NIDA NIH HHS RM1 DA059365NIDA NIH HHS UG1 DA049444
6 · The paper itself

Abstract

Public payers in the US cover more than half of individuals who receive treatment for opioid use disorder (OUD). Despite this, patient-reported measures that reflect treatment engagement and quality of life are largely missing from OUD quality improvement initiatives. This commentary describes the survey protocol for Project ELVIS (ELevating patient VoIceS to Improve OUD Treatment Quality), 1 of 3 projects of the Medicaid Outcomes Distributed Research Network's initiative Examining Quality Improvement in Medicaid Programs. Project ELVIS collects patient experiences with OUD treatment and tests the relationship between patient-reported and claims-based measures of treatment quality. As this commentary describes, Project ELVIS is innovative in its approach to grounding measure development in sustained, iterative engagement with individuals with lived experience and Medicaid policymakers and in employing a policy-driven regional survey sampling approach that prioritizes Medicaid decision-making relevance. Our project is also innovative in its planned linkages of self-reported patient experiences and outcomes with quality measures based on administrative data, positioning patient experience to explain-not just quantify-treatment quality in Medicaid programs. The goals of this project are to inform mechanisms underlying providers' high (and low) performance on claims-based measures, offering insight into why patients initiate, remain engaged in, or discontinue medication for OUD. In doing so, this work endeavors to support the development of patient-centered, process-based quality measures that complement existing and emerging utilization-based metrics.

Indexed as

Opioid-Related DisordersPatient Reported Outcome MeasuresQuality ImprovementHumansMedicaidUnited Statesaccessand evaluationhealth care qualityhealth services researchopioid-related disorders

Identifiers

PMID42522448
PMCPMC13420015

What OpenQuestion holds

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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.