Evidence map›Paper›PMID 30445639›Full record

ArticleJournal of public health (Oxford, England)2020

Delivering information about medication assisted treatment to individuals who misuse opioids through a mobile app: a pilot study.

Patricia A Cavazos-Rehg, Melissa J Krauss, Shaina J Costello, Alex T Ramsey, Demetrie Petkas, Sean Gunderson, Laura J Bierut, Lisa A Marsch

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

8 authors.

Patricia A Cavazos-RehgDepartment of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, USA.
Melissa J KraussDepartment of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, USA.
Shaina J CostelloDepartment of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, USA.
Alex T RamseyDepartment of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, USA.
Demetrie PetkasiTether Technologies, 1300 East Missouri Avenue, Suite 100, Phoenix, AZ,USA.
Sean GundersoniTether Technologies, 1300 East Missouri Avenue, Suite 100, Phoenix, AZ,USA.
Laura J BierutDepartment of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, USA.
Lisa A MarschDepartment of Psychiatry, Dartmouth College, Hanover, NH, USA.

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Washington University Career Development Program in Drug Abuse and AddictionK12DA041449 · NIDA · WASHINGTON UNIVERSITY · PI Laura J. Bierut, Patricia A Cavazos-Rehg · 2017 to 2026
$4.2M
Implications of social media content and engagement for alcohol and marijuana useR01DA039455 · NIDA · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A · 2014 to 2017
$1.3M
Leveraging Social Media for Substance Use Behavioral Insight K02DA043657 · NIDA · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A · 2017 to 2021
$591k
NIDA NIH HHS K02 DA043657NIDA NIH HHS K12 DA041449NIDA NIH HHS P30 DA029926NIDA NIH HHS R01 DA039455
6 · The paper itself

Abstract

backgroundDigital therapeutic tools (e.g. mobile applications) can be accessible, low-cost interventions that counter misconceptions about medication assisted treatment (MAT) and/or improve deficits in MAT knowledge that are common barriers to treatment entry among individuals with opioid dependence. The purpose of this pilot study was to examine the preliminary effectiveness of a mobile application, 'uMAT-R', that includes health information about OUD recovery supported by science and MAT benefits.

methodsTwenty-six adult participants with OUD recruited via social media completed all modules and pre/post-assessments within uMAT-R. McNemar's test was used to compare interest in treatment before and after completing the app, and paired t tests were used to compare MAT attitude scores before and after completing the modules within uMAT-R.

resultsBefore viewing uMAT-R, 32% agreed/strongly agreed that they were interested in starting treatment to recover from opioid misuse, compared to 48% after completing uMAT-R. The average scores on the MAT attitudes scale and its Aid to Behavior Change subscale improved from before to after viewing uMAT-R. Among the participants, 88% felt that uMAT-R would be useful to consult when making decisions about recovery.

conclusionsOur encouraging pilot findings support the use of uMAT-R to help address the current opioid epidemic.

Indexed as

BuprenorphineMobile ApplicationsAdultAnalgesics, OpioidHumansMethadoneOpiate Substitution TreatmentPilot ProjectsAnalgesics, OpioidBuprenorphineMethadonebuprenorphinemethadoneopiate substitution treatmentopioid dependencetelemedicine

Identifiers

PMID30445639
PMCPMC8204883

What OpenQuestion holds

Textmetadata
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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.