Literature DB >> 27310031

Mobile technology-based interventions for adult users of alcohol: A systematic review of the literature.

Lauren A Fowler1, Sidney L Holt2, Deepti Joshi2.   

Abstract

BACKGROUND: Worldwide, 16% of people aged 15 and older engage in harmful use of alcohol. Harmful alcohol use leads to a host of preventable negative social and health consequences. Mobile technology-based interventions provide a particularly promising avenue for the widespread and cost-effective delivery of treatment that is accessible, affordable, individualized, and destigmatized to both alcohol-dependent and nondependent individuals. AIMS: The present review sought to summarize the current literature on mobile technology-based interventions among adult users of alcohol and determine the efficacy of such interventions.
METHODS: Five databases were searched in December 2015 (Jan. 2004-Dec. 2015). Inclusion criteria were: participants aged 18 or older, interventions delivered through mobile-technology, and outcome measurement of alcohol reduction/cessation.
FINDINGS: Eight studies met inclusion criteria. The majority of the studies reviewed found positive effects of the intervention, even though the interventions themselves varied in design, length, dosage, and target population, and were pilot or preliminary in nature.
CONCLUSIONS: Findings from this review highlight the promising, yet preliminary state of research in this area. Studies with adequate power and valid design are necessary to evaluate the potential of mobile technology-based interventions on long-term alcohol behavior outcomes. Furthermore, future research should elucidate what the most effective length of time is for a mobile technology-based intervention, how often individuals should receive messages for maximum benefit, and determine the comparative effectiveness of mobile technology interventions with other efficacious interventions.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alcohol; Intervention; SMS; Substance use; Text messaging

Mesh:

Year:  2016        PMID: 27310031     DOI: 10.1016/j.addbeh.2016.06.008

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  42 in total

1.  Smartphone-based, momentary intervention for alcohol cravings amongst individuals with an alcohol use disorder.

Authors:  Patrick L Dulin; Vivian M Gonzalez
Journal:  Psychol Addict Behav       Date:  2017-07-13

2.  Behavioral and Social Sciences at the National Institutes of Health: adoption of research findings in health research and practice as a scientific priority.

Authors:  William T Riley
Journal:  Transl Behav Med       Date:  2017-06       Impact factor: 3.046

Review 3.  Telehealth Treatment for Alcohol Misuse: Reviewing Telehealth Approaches to Increase Engagement and Reduce Risk of Alcohol-Related Hypertension.

Authors:  Dan V Blalock; Patrick S Calhoun; Matthew J Crowley; Eric A Dedert
Journal:  Curr Hypertens Rep       Date:  2019-06-17       Impact factor: 5.369

4.  mHealth Interventions to Reduce Alcohol Use in Young People: A Systematic Review of the Literature.

Authors:  Alison Hutton; Ivanka Prichard; Dean Whitehead; Susan Thomas; Mark Rubin; Elizabeth Sloand; Terrinieka W Powell; Keri Frisch; Peter Newman; Tener Goodwin Veenema
Journal:  Compr Child Adolesc Nurs       Date:  2019-06-13

5.  A Mobile Phone-Based Brief Intervention With Personalized Feedback and Text Messaging Is Associated With Reductions in Driving After Drinking Among College Drinkers.

Authors:  Jenni B Teeters; Kathryn E Soltis; James G Murphy
Journal:  J Stud Alcohol Drugs       Date:  2018-09       Impact factor: 2.582

Review 6.  New steps for treating alcohol use disorder.

Authors:  Erin J Campbell; Andrew J Lawrence; Christina J Perry
Journal:  Psychopharmacology (Berl)       Date:  2018-03-25       Impact factor: 4.530

7.  Engaging women with an embodied conversational agent to deliver mindfulness and lifestyle recommendations: A feasibility randomized control trial.

Authors:  Paula M Gardiner; Kelly D McCue; Lily M Negash; Teresa Cheng; Laura F White; Leanne Yinusa-Nyahkoon; Brian W Jack; Timothy W Bickmore
Journal:  Patient Educ Couns       Date:  2017-04-26

8.  Developing Text Messages to Reduce Community College Student Alcohol Use.

Authors:  Melissa A Lewis; Jennifer M Cadigan; Jessica M Cronce; Jason R Kilmer; Brian Suffoletto; Theresa Walter; Christine M Lee
Journal:  Am J Health Behav       Date:  2018-07-01

9.  Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions.

Authors:  Sangwon Bae; Tammy Chung; Denzil Ferreira; Anind K Dey; Brian Suffoletto
Journal:  Addict Behav       Date:  2017-11-27       Impact factor: 3.913

10.  Interest in using mobile technology to help self-manage alcohol use among persons living with the human immunodeficiency virus: A Florida Cohort cross-sectional study.

Authors:  J Danielle Sharpe; Zhi Zhou; César G Escobar-Viera; Jamie P Morano; Robert J Lucero; Gladys E Ibañez; Mark Hart; Christa L Cook; Robert L Cook
Journal:  Subst Abus       Date:  2017-09-01       Impact factor: 3.716

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