Literature DB >> 35080713

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

Nikola M Zaharakis1, Michael J Mason2, Cady Berkel3.   

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.
© 2022. Society for Prevention Research.

Entities:  

Keywords:  Engagement; Intervention effects; Participant responsiveness; mHealth

Mesh:

Year:  2022        PMID: 35080713     DOI: 10.1007/s11121-022-01333-z

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  7 in total

1.  An affective and cognitive model of marijuana and alcohol problems.

Authors:  Jeffrey S Simons; Kate B Carey
Journal:  Addict Behav       Date:  2006-01-19       Impact factor: 3.913

Review 2.  Implementation matters: a review of research on the influence of implementation on program outcomes and the factors affecting implementation.

Authors:  Joseph A Durlak; Emily P DuPre
Journal:  Am J Community Psychol       Date:  2008-06

3.  Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions.

Authors:  Gabrielle M Turner-McGrievy; Caroline Glagola Dunn; Sara Wilcox; Alycia K Boutté; Brent Hutto; Adam Hoover; Eric Muth
Journal:  J Acad Nutr Diet       Date:  2019-05-30       Impact factor: 4.910

4.  Treatment Satisfaction in a Randomized Clinical Trial of mHealth Smoking Abstinence Reinforcement.

Authors:  Sheila M Alessi; Carla J Rash
Journal:  J Subst Abuse Treat       Date:  2016-07-04

5.  The Cascading Effects of Multiple Dimensions of Implementation on Program Outcomes: a Test of a Theoretical Model.

Authors:  Cady Berkel; Anne M Mauricio; Irwin N Sandler; Sharlene A Wolchik; Carlos G Gallo; C Hendricks Brown
Journal:  Prev Sci       Date:  2018-08

Review 6.  If we build it, will they come? Issues of engagement with digital health interventions for trauma recovery.

Authors:  Carolyn M Yeager; Charles C Benight
Journal:  Mhealth       Date:  2018-09-11

Review 7.  Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis.

Authors:  Olga Perski; Ann Blandford; Robert West; Susan Michie
Journal:  Transl Behav Med       Date:  2017-06       Impact factor: 3.046

  7 in total

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