Literature DB >> 25813268

Mechanisms of change associated with technology-based interventions for substance use.

Jesse Dallery1, Brantley Jarvis2, Lisa Marsch3, Haiyi Xie3.   

Abstract

BACKGROUND: Technology-based interventions (TBIs) for substance use disorders have been increasing steadily. The mechanisms by which TBIs produce change in substance use outcomes have not been reviewed. This article is the first review of the conceptual and empirical underpinnings of the mechanisms associated with TBIs for substance use disorders.
METHODS: We review the literature on potential mechanisms associated with TBIs targeting tobacco, alcohol, and poly-substance use. We did not identify TBIs targeting other drug classes and that assessed mechanisms.
RESULTS: Research suggests that TBIs impact outcomes via similar potential mechanisms as in non-TBIs (e.g., in-person treatment), with the exception of substance use outcomes being associated with changes in the quality of coping skills. The most frequent potential mechanisms detected were self-efficacy for tobacco abstinence and perceived peer drinking for alcohol abstinence.
CONCLUSIONS: Research on mechanisms associated with TBIs is still in a nascent stage. We provide several recommendations for future work, including broadening the range of mechanisms assessed and increasing the frequency of assessment to detect temporal relations between mechanisms and outcomes. We also discuss unique challenges and opportunities afforded by technology that can advance theory, method, and clinical practice.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Mechanisms; Substance use; Technology; mHealth

Mesh:

Year:  2015        PMID: 25813268      PMCID: PMC4386723          DOI: 10.1016/j.drugalcdep.2015.02.036

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  82 in total

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Journal:  Drug Alcohol Depend       Date:  2008-12-09       Impact factor: 4.492

2.  Data compatibility in the addiction sciences: an examination of measure commonality.

Authors:  Kevin P Conway; Genevieve C Vullo; Ashley P Kennedy; Matthew S Finger; Arpana Agrawal; James M Bjork; Lindsay A Farrer; Dana B Hancock; Andrea Hussong; Paul Wakim; Wayne Huggins; Tabitha Hendershot; Destiney S Nettles; Joseph Pratt; Deborah Maiese; Heather A Junkins; Erin M Ramos; Lisa C Strader; Carol M Hamilton; Kenneth J Sher
Journal:  Drug Alcohol Depend       Date:  2014-05-20       Impact factor: 4.492

3.  Sweat testing to monitor drug exposure.

Authors:  Cristiana Gambelunghe; Riccardo Rossi; Kyriaki Aroni; Mauro Bacci; Andrea Lazzarini; Nadia De Giovanni; Paola Carletti; Nadia Fucci
Journal:  Ann Clin Lab Sci       Date:  2013       Impact factor: 1.256

4.  Evaluating individual intervention components: making decisions based on the results of a factorial screening experiment.

Authors:  Linda M Collins; Jessica B Trail; Kari C Kugler; Timothy B Baker; Megan E Piper; Robin J Mermelstein
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

5.  Using response variation to develop more effective, personalized behavioral medicine?: evidence from the Resist Diabetes study.

Authors:  Richard A Winett; Brenda M Davy; Jyoti Savla; Elaina L Marinik; Sheila G Winett; Mary Elizabeth Baugh; Kyle D Flack
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

6.  An intervention fidelity framework for technology-based behavioral interventions.

Authors:  Annette Devito Dabbs; Mi-Kyung Song; Robert Hawkins; Jill Aubrecht; Karen Kovach; Lauren Terhorst; Mary Connolly; Mary McNulty; Judith Callan
Journal:  Nurs Res       Date:  2011 Sep-Oct       Impact factor: 2.381

7.  Treatment for persons with substance use disorders: mediators, moderators, and the need for a new research approach.

Authors:  Thomas F Babor
Journal:  Int J Methods Psychiatr Res       Date:  2008-06       Impact factor: 4.035

8.  Some methodological considerations in theory-based health behavior research.

Authors:  Linda M Collins; David P MacKinnon; Bryce B Reeve
Journal:  Health Psychol       Date:  2013-05       Impact factor: 4.267

9.  Single-case experimental designs to evaluate novel technology-based health interventions.

Authors:  Jesse Dallery; Rachel N Cassidy; Bethany R Raiff
Journal:  J Med Internet Res       Date:  2013-02-08       Impact factor: 5.428

10.  Utilization of smoking cessation informational, interactive, and online community resources as predictors of abstinence: cohort study.

Authors:  Lawrence C An; Barbara A Schillo; Jessie E Saul; Ann H Wendling; Colleen M Klatt; Carla J Berg; Jasjit S Ahulwalia; Annette M Kavanaugh; Matthew Christenson; Michael G Luxenberg
Journal:  J Med Internet Res       Date:  2008-12-20       Impact factor: 5.428

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  12 in total

1.  Treatment seeking as a mechanism of change in a randomized controlled trial of a mobile health intervention to support recovery from alcohol use disorders.

Authors:  Joseph E Glass; James R McKay; David H Gustafson; Rachel Kornfield; Paul J Rathouz; Fiona M McTavish; Amy K Atwood; Andrew Isham; Andrew Quanbeck; Dhavan Shah
Journal:  J Subst Abuse Treat       Date:  2017-03-30

2.  A text message intervention to reduce 21st birthday alcohol consumption: Evaluation of a two-group randomized controlled trial.

Authors:  Michael H Bernstein; L A R Stein; Clayton Neighbors; Brian Suffoletto; Kate B Carey; Ginette Ferszt; Nicole Caron; Mark D Wood
Journal:  Psychol Addict Behav       Date:  2018-01-25

Review 3.  Systematic review of social media interventions for smoking cessation.

Authors:  John A Naslund; Sunny Jung Kim; Kelly A Aschbrenner; Laura J McCulloch; Mary F Brunette; Jesse Dallery; Stephen J Bartels; Lisa A Marsch
Journal:  Addict Behav       Date:  2017-05-02       Impact factor: 3.913

4.  Using Ecological Momentary Assessment to Identify Mechanisms of Change: An Application From a Pharmacotherapy Trial With Adolescent Cannabis Users.

Authors:  Hayley Treloar Padovano; Robert Miranda
Journal:  J Stud Alcohol Drugs       Date:  2018-03       Impact factor: 2.582

5.  Can persons with a history of multiple addiction treatment episodes benefit from technology delivered behavior therapy? A moderating role of treatment history at baseline.

Authors:  Sunny Jung Kim; Lisa A Marsch; Michelle C Acosta; Honoria Guarino; Yesenia Aponte-Melendez
Journal:  Addict Behav       Date:  2015-11-26       Impact factor: 3.913

6.  Smartphone and Mobile Application Utilization Prior to and Following Treatment Among Individuals Enrolled in Residential Substance Use Treatment.

Authors:  Jennifer Dahne; Carl W Lejuez
Journal:  J Subst Abuse Treat       Date:  2015-07-04

7.  Descriptive Norms but not Harm Reduction Strategies as a Mediator of Personalized Boosters After a Computerized College Drinking Intervention.

Authors:  Abby L Braitman; Cathy Lau-Barraco
Journal:  Alcohol Clin Exp Res       Date:  2019-12-11       Impact factor: 3.455

8.  Expanding the reach of alcohol and other drug services: Prevalence and correlates of US adult engagement with online technology to address substance problems.

Authors:  Brandon G Bergman; M Claire Greene; Bettina B Hoeppner; John F Kelly
Journal:  Addict Behav       Date:  2018-06-18       Impact factor: 3.913

9.  mHealth Application Areas and Technology Combinations*. A Comparison of Literature from High and Low/Middle Income Countries.

Authors:  Haitham Abaza; Michael Marschollek
Journal:  Methods Inf Med       Date:  2017-08-08       Impact factor: 2.176

10.  mHealth for the Detection and Intervention in Adolescent and Young Adult Substance Use Disorder.

Authors:  Stephanie Carreiro; Peter R Chai; Jennifer Carey; Jeffrey Lai; David Smelson; Edward W Boyer
Journal:  Curr Addict Rep       Date:  2018-02-15
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