Evidence map›Paper›PMID 41193189›Full record

ArticleBMJ open2025

Increasing timely access to evidence-based treatment for opioid use disorder using novel digital health and system dynamics modelling approaches: a study protocol.

Turner Canty, Nasim S Sabounchi, Robert Heimer, Michael Pantalon, Caitlin Ryus, Laurel Buchanan, Mikas Grewal, Justine Maffei, Gail D'Onofrio, Rebekah Heckmann

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05832879 (A Pilot Study of Telehealth Treatment for Opioid Use Disorders), which is not on this map. Not yet cited in PubMed.

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

NCT05832879 nacompletednot on this map

A Pilot Study of Telehealth Treatment for Opioid Use Disorders

TypeinterventionalSponsorYale UniversityRan2024 to 2025Enrolled33ConditionsOpioid Use DisorderArmsOUD Telehealth Platform
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Turner CantyCenter for Systems and Community Design, CUNY Graduate School of Public Health & Health Policy, New York, New York, USA.ORCID http://orcid.org/0009-0003-2648-4840
Nasim S SabounchiCenter for Systems and Community Design, CUNY Graduate School of Public Health & Health Policy, New York, New York, USA Nasim.Sabounchi@sph.cuny.edu.ORCID http://orcid.org/0000-0002-8027-8779
Robert HeimerDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, Connecticut, USA.
Michael PantalonSchool of Health Professions, Long Island University, Brookville, New York, USA.
Caitlin RyusDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Laurel BuchananDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Mikas GrewalDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Justine MaffeiCenter for Systems and Community Design, CUNY Graduate School of Public Health & Health Policy, New York, New York, USA.
Gail D'OnofrioDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Rebekah HeckmannDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.

Funding

WF DISC: Navigating Data Solutions for Chronic Pain and Opioid Use DisorderU24DA057612 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MEREDITH C. B. ADAMS · 2022 to 2026
$5.6M
Using System Dynamics Modeling to Foster Real-time Connections to CareR33DA057675 · NIDA · YALE UNIVERSITY · PI Rebekah Heckmann, Nasim S. Sabounchi · 2025 to 2026
$2.3M
Using System Dynamics Modeling to Foster Real-time Connections to CareR61DA057675 · NIDA · YALE UNIVERSITY · PI HECKMANN, REBEKAH, S. SABOUNCHI, NASIM · 2022 to 2023
$1.4M
NIDA NIH HHS R33 DA057675NIDA NIH HHS R61 DA057675NIDA NIH HHS U24 DA057612
6 · The paper itself

Abstract

introductionDespite the continued burden of opioid overdose in communities in the USA, effective treatments for opioid use disorder (OUD), such as medication for opioid use disorder (MOUD), remain underused. Motivational interviewing techniques and linkage to MOUD via digital health are innovative practices developed to overcome persistent barriers to accessing MOUD treatment. These practices are merged in a comprehensive digital health platform, METHODS AND ANALYSIS: This study will recruit 40 participants in Connecticut and New York through online platforms, such as social media and digital advertising, and direct access via quick-response (QR) codes distributed by local community partners. Eligibility assessment and enrolment will be conducted virtually. Individuals reporting symptoms indicating moderate to severe OUD who are at least 18 years of age are eligible for the study, excluding those who are currently receiving MOUD, pregnant or incarcerated. Enrolled participants will interact with an automated chatbot, live recovery coaches and, if desired, be referred to a telehealth MOUD provider via the ETHICS AND DISSEMINATION: This project received approval from the Yale University Human Investigation Committee in 2024 (HIC # 2000034414). All participants will complete an electronic consent form with detailed study information and release of information to obtain data related to MOUD appointment attendance. Findings and conclusions from this pilot will be disseminated via peer-reviewed publication, advisory board meetings and meetings with community partners. TRIAL REGISTRATION NUMBER: NCT05832879.

Indexed as

Health Services AccessibilityMotivational InterviewingOpiate Substitution TreatmentOpioid-Related DisordersConnecticutDigital HealthFemaleHumansMaleNew YorkPilot ProjectsTelemedicineClinical ProtocolsDigital TechnologySubstance misuseTelemedicine

Identifiers

PMID41193189
PMCPMC12658510

What OpenQuestion holds

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LicenceCC BY-NC
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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.