Evidence map›Paper›PMID 41429011›Full record

Trial reportJournal of medical Internet research2025

Implementation of a Mobile Digital Tool Supporting Medication for Opioid Use Disorder Treatment Improves Retention: Stepped-Wedge Cluster Randomized Controlled Trial.

Jorge E Palacios, Robert Sherrick, Tim Janssen, Elana Deuble, Sara Lorenzen, Mark Schaefer, Jenna Tregarthen

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07140926 (Digital Innovation in Medication-Assisted Treatment for Opioid Use Disorder), 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.

NCT07140926 nacompletednot on this map

Digital Innovation in Medication-Assisted Treatment for Opioid Use Disorder: A Stepped-Wedge Cluster Randomized Trial

TypeinterventionalSponsorBright TherapeuticsRan2024 to 2024Enrolled1,524ConditionsOpioid Use DisorderArmsRecovery Connect
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

7 authors.

Jorge E PalaciosBright Therapeutics, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2103-5507
Robert SherrickCommunity Medical Services, Scottsdale, AZ, United States.ORCID https://orcid.org/0000-0002-4436-0134
Tim JanssenDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States.ORCID https://orcid.org/0000-0003-0012-2609
Elana DeubleCommunity Medical Services, Scottsdale, AZ, United States.ORCID https://orcid.org/0009-0000-2050-9566
Sara LorenzenBright Therapeutics, San Francisco, CA, United States.ORCID https://orcid.org/0009-0000-4148-2411
Mark SchaeferCommunity Medical Services, Scottsdale, AZ, United States.ORCID https://orcid.org/0009-0003-8417-8913
Jenna TregarthenBright Therapeutics, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-4787-7059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite its proven efficacy, retention in medication for opioid use disorder (MOUD) remains low, with structural and systemic barriers-such as access to care and treatment setting-alongside individual factors, including personalization and motivation, contributing to high rates of discontinuation. Digital interventions offer a promising approach to address many of these barriers; however, robust evidence for their effectiveness in improving retention and engagement with treatment remains scarce.

objectiveThis study aims to evaluate the impact of Recovery Connect-a white-labeled version of Recovery Path and a digital remote patient monitoring app used as part of a blended treatment model for opioid use disorder-on patient retention, treatment continuance, and medication adherence.

methodsA stepped-wedge cluster randomized trial was conducted across 9 outpatient MOUD clinics, organized into 8 clusters. Clusters were sequentially transitioned from usual care to a digitally enhanced model incorporating Recovery Connect, which provided real-time monitoring, psychoeducational and skill-based content, and messaging between patients and clinicians. The primary outcome was 30-day retention in treatment following exposure (implementation of the app in the clinic), linkage (downloading and connecting to the app), or engagement (levels of app usage). Secondary outcomes included treatment continuance-defined as receiving at least 75% of expected doses-and the number of daily doses taken within the first 3, 7, and 30 days after admission. Cluster-controlled discrete-time survival analyses were conducted, adjusting for patient- and clinic-level covariates.

resultsPatients admitted to clinics that had implemented the app (n=1205) showed increased retention (922/1205, 75.5%) compared with those in clinics that had not (203/319, 63.6%, P<.001). Patients who downloaded and linked with a mental health professional on Recovery Connect had an 81.3% likelihood of retention, compared with 72.0% (P<.001) among those not linked. Linkage also significantly predicted higher treatment continuance and a greater number of daily doses taken during the first 7 and 30 days (P<.001). Low, moderate, and high engagement levels were associated with progressively higher 30-day retention compared with no engagement (P<.001).

conclusionsThis study provides evidence that implementing Recovery Connect (Recovery Path) significantly enhances patient retention and treatment continuity in outpatient opioid use disorder care. Early linkage and engagement during the first week were strong predictors of positive outcomes, underscoring the value of early, proactive digital support. These findings reinforce the effectiveness of blended digital-clinical models, aligning with broader evidence that integrating remote monitoring enhances continuity of care and supports recovery. Policy implications include the need for reimbursement mechanisms, workflow integration, and ethical, privacy-preserving implementation to enable scalable and equitable adoption of digital tools in substance use treatment.

trial registrationClinicalTrials.gov NCT07140926; https://clinicaltrials.gov/ct2/show/NCT07140926.

Indexed as

Mobile ApplicationsOpioid-Related DisordersAdultFemaleHumansMaleMedication AdherenceMiddle AgedTelemedicineblended treatmentdigital interventionmedication for opioid use disorderopioid use disorderstepped-wedge cluster randomized trialtreatment retention

Identifiers

PMID41429011
PMCPMC12770919

What OpenQuestion holds

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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.