Evidence map›Paper›PMID 35080713›Full record

Trial reportPrevention science : the official journal of the Society for Prevention Research2022

Responsiveness to mHealth Intervention for Cannabis Use in Young Adults Predicts Improved Outcomes.

Nikola M Zaharakis, Michael J Mason, Cady Berkel

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Prevention science : the official journal of the Society for Prevention Research, 2022. 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
0.3field-weighted citation impact, top 44% of its field
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, 2 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Nikola M ZaharakisUniversity of Tennessee, Center for Behavioral Health Research, Knoxville, U.S.. nzaharak@utk.edu.
Michael J MasonUniversity of Tennessee, Center for Behavioral Health Research, Knoxville, U.S.
Cady BerkelArizona State University, College of Health Solutions & Department of Psychology, REACH Institute, Tempe, U.S.
University of Tennessee at Knoxville · USArizona State University · US

Funding

Research training in substance use prevention: Closing the research-practice gapT32DA039772 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Cady Berkel, Nancy A. Gonzales · 2015 to 2026
$4.2M
NIDA NIH HHS T32 DA039772NIDA NIH HHS T32DA039772-03
6 · The paper itself

Abstract

Mobile health (mHealth) interventions have proliferated rapidly in part because of their advantages in reducing consumer and provider burden, but less attention has been paid to participant responsiveness to mHealth programs and how this may affect outcomes. This study adds to that literature by examining whether participant responsiveness to a text messaging-delivered intervention was predictive of treatment outcomes over baseline levels of the outcome. We analyzed data from a pilot-randomized controlled trial of a text messaging-intervention to treat young adults with cannabis use disorder (treatment arm, N = 47), examining three indicators of responsiveness (two behavioral: treatment completion and booster message participation; and one subjective: perceived helpfulness of treatment) on abstinence from cannabis use and use-related problems measured at 3-month follow-up. With the exception of completion, the indicators were positively correlated with each other. Each of the indicators was predictive of better treatment outcomes above and beyond baseline risk. Treatment completion and booster participation-measured via technical data captured during intervention administration-appeared to be stronger predictors of improved outcomes than self-reported perceived helpfulness. Results suggest that behavioral and subjective responsiveness measures appear to be valid indicators of treatment response to mHealth interventions for substance use. Responsiveness measured via technical data captured during intervention administration may be a stronger and more efficient strategy for monitoring continued engagement. We discuss implications of these findings for deploying mHealth interventions at scale and monitoring responsiveness.

Indexed as

CannabisTelemedicineText MessagingHumansTreatment OutcomeYoung AdultEngagementIntervention effectsmHealthParticipant responsiveness

Identifiers

PMID35080713
PMCPMC13093746
OpenAlexW4210775525

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.