Evidence map›Paper›PMID 40825198›Full record

ArticleJMIR formative research2025

Clinical Management of Medication-Assisted Treatment for Opioid Use Disorder Using a Mobile Health App Within a Primary Care Clinic: Quasi-Experimental Study.

Allison D Rosen, Steven J Shoptaw, Li Li, Bengisu Tulu, Omar Nieto, Steven Jenkins, Mariah M Kalmin

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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.

Allison D RosenDepartment of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, Suite 1800, 10880 Wilshire Blvd, Los Angeles, CA, 90024, United States, 1 3107946096.ORCID 0000-0002-1630-0222
Steven J ShoptawDepartment of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, Suite 1800, 10880 Wilshire Blvd, Los Angeles, CA, 90024, United States, 1 3107946096.ORCID 0000-0002-3583-0026
Li LiDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-3402-142X
Bengisu TuluThe Business School, Worcester Polytechnic Institute, Worcester, MA, United States.ORCID 0000-0001-7226-1830
Omar NietoDepartment of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, Suite 1800, 10880 Wilshire Blvd, Los Angeles, CA, 90024, United States, 1 3107946096.ORCID 0000-0003-1196-6874
Steven JenkinsQ2i, Boston, MA, United States.ORCID 0009-0000-4333-5116
Mariah M KalminDepartment of Behavioral and Policy Sciences, RAND Corporation, Santa Monica, CA, United States.ORCID 0000-0002-7329-8931

Funding

Technology Improving Success of Medication-Assisted Treatment in Primary CareR42DA050398 · NIDA · Q2I, LLC · PI JENKINS, STEVEN PAUL · 2019 to 2021
$1.7M
NIDA NIH HHS R42 DA050398
6 · The paper itself

Abstract

Background: Medication-assisted treatment (MAT) is an effective strategy for treating opioid use disorder and reducing opioid-related overdose deaths, yet retention in treatment remains low. Mobile health (mHealth) platforms may be a useful tool for increasing long-term engagement in MAT programs, but evaluation studies of such platforms are limited. Objective: This study aimed to determine whether the use of the Opioid Addiction Recovery Support (OARS) software platform increased MAT engagement for patients with opioid use disorder. Methods: The Technology Improving Success of Medication-Assisted Treatment in Primary Care Study was a quasi-experimental study conducted at a primary care clinic in the United States between January 2021 and February 2022. OARS is a software platform and mobile app (Q2i, LLC) that includes a dashboard of real-time appointment attendance, urine toxicology (UTOX) results, and educational content as well as messaging and journaling features. All patients who were invited to use OARS and had available data across the study were included in the analysis. The primary outcomes were engagement in treatment, defined as no more than a 35-day gap in appointment attendance, and UTOX. Changes in treatment engagement between the treatment as usual (TAU) period and OARS intervention period were assessed using the effect size (Cohen g) and McNemar chi-square test of discordant pairs. Results: Among 205 patients invited to use OARS, 123 had available data and were thus included in the analysis. The median age was 37 (IQR 31-42.5 ) years, 61% (75/123) identified as men, and 95.1% (117/123) identified as non-Hispanic White. There were no statistically significant differences in demographic characteristics for patients who used OARS on more than 1 day compared to patients who used OARS on 0 or 1 day, or patients who did versus did not have available data. Among all patients, 20% (25/123) were engaged in appointment attendance during TAU only compared to 27% (33/123) during OARS only (g=0.07; P=.36), and 13% (16/123) were engaged in UTOX during TAU only and 33% (41/123) during OARS only (g=0.21; P≤.01). Among a subsample of 52 patients who used OARS on more than 1 day, 17% (9/52) were engaged in appointment attendance during TAU only compared to 23% (12/52) during OARS only (g=0.07, P=.67), and 13% (7/52) were engaged in UTOX during TAU only and 35% (18/52) during OARS only (g=0.22, P=.05). Conclusions: Introduction of OARS in a primary care setting may be associated with a moderate change in MAT engagement as measured by UTOX, but not appointment attendance. While barriers to implementation and adoption, including difficulty fully integrating OARS with the clinic's electronic health record, may have attenuated the potential effect of the intervention, this study provides evidence that mHealth interventions, such as OARS, are a promising addition to the MAT treatment landscape.

Indexed as

Mobile ApplicationsOpiate Substitution TreatmentOpioid-Related DisordersAdultFemaleHumansMaleMiddle AgedPrimary Health CareTelemedicineUnited StatesAmericanassistancebehavioral therapymedication-assisted treatmentmedication for opioid use disordermHealthmobile healthmobile health appopioid useopioid use disorderprimary caresoftwareUnited States

Identifiers

PMID40825198
PMCPMC12360668

What OpenQuestion holds

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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.