Evidence map›Paper›PMID 39621343›Full record

ArticleJAMA network open2024

Smartphone App-Based Contingency Management and Opioid Use Disorder Treatment Outcomes.

Elise N Marino, Tara Karns-Wright, Matthew C Perez, Jennifer S Potter

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

4 authors.

Elise N MarinoBe Well Institute on Substance Use and Related Disorders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio.
Tara Karns-WrightBe Well Institute on Substance Use and Related Disorders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio.
Matthew C PerezBe Well Institute on Substance Use and Related Disorders, University of Texas Health Science Center at San Antonio.
Jennifer S PotterBe Well Institute on Substance Use and Related Disorders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio.

Funding

Concept ProjectU10DA020024 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2005 to 2015
$22.6M
mHealth for Patient Self-Management of Opioid Use Disorder - Administrative SupplementR42DA054881 · NIDA · BIOMEDICAL DEVELOPMENT CORPORATION · PI POTTER, JENNIFER SHARPE · 2021 to 2023
$2.6M
Peer Recovery Innovation Network (PRIN)R24DA057659 · NIDA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Robert Ashford, Jennifer Sharpe Potter · 2022 to 2026
$2.5M
NIDA NIH HHS R24 DA057659NIDA NIH HHS R42 DA054881NIDA NIH HHS U10 DA020024
6 · The paper itself

Abstract

Importance: Opioid use disorder continues to be a national crisis, contributing to substantial morbidity and mortality. Medication is the only evidence-based treatment for opioid use disorder; however, improving clinical outcomes may require augmenting it with psychosocial interventions, such as contingency management (CM), specifically, smartphone app-based CM. Objective: To evaluate whether augmenting medication for opioid use disorder (MOUD) with app-based CM is associated with fewer days of opioid use at the end of treatment and greater retention than treatment with MOUD only. Design, Setting, and Participants: This retrospective cohort study used data from November 1, 2020, to November 30, 2023, collected from opioid treatment programs and office-based opioid treatment programs across Texas. The cohort included individuals aged 18 years or older who were uninsured or underinsured and who chose to receive MOUD only or MOUD plus CM delivered via the WEconnect smartphone app. Participants who chose to receive app-based CM received monetary incentives upon achieving their self-chosen recovery goals. Exposure: Opioid use disorder. Main Outcomes and Measures: Primary analyses examined differences in treatment outcomes (self-reported days of opioid use at the end of treatment and retention) between patients who chose MOUD only and those who chose MOUD plus app-based CM. Linear regression analysis was used to examine days of opioid use at the end of treatment, and Cox proportional hazards regression analysis was used to examine retention. Results: The analytic sample comprised 600 individuals (mean [SD] age, 38.4 [8.6] years; 342 male [57.0%]), with 300 included in each treatment group. Those who chose to receive MOUD plus app-based CM reported significantly fewer days of opioid use at the end of treatment compared with those who chose to receive MOUD only (mean [SD] duration, 8.4 [12.9] vs 12.0 [13.5] days; β = -6.10; 95% CI, -8.09 to -4.10). Retention analysis showed that patients who chose to receive MOUD plus app-based CM were significantly more likely to stay in treatment longer compared with those who chose to receive MOUD only (mean [SD] duration, 290.2 [109.4] vs 236.1 [128.1] days; β = 51.91; 95% CI, 33.86 to 69.95). Conclusions and Relevance: These findings suggest that augmenting MOUD with app-based CM may provide clinical benefits for underserved patients. Expanding the availability of app-based CM may contribute to decreasing the societal, economic, and personal burden of opioid use.

Indexed as

Mobile ApplicationsOpioid-Related DisordersSmartphoneAdultAnalgesics, OpioidBehavior TherapyFemaleHumansMaleMiddle AgedOpiate Substitution TreatmentRetrospective StudiesTexasTreatment OutcomeAnalgesics, Opioid

Identifiers

PMID39621343
PMCPMC11612830

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.