» Articles » PMID: 25881254

Web-based Interventions to Decrease Alcohol Use in Adolescents: a Delphi Study About Increasing Effectiveness and Reducing Drop-out

Overview
Publisher Biomed Central
Specialty Public Health
Date 2015 Apr 17
PMID 25881254
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Web-based computer-tailored (CT) interventions have a high potential to reach a large number of people and effectively change health risk behaviors and their determinants. However, effect studies show small and variable effect sizes, and these interventions also suffer from high drop-out. In this study we explored how Web-based CT interventions can be used effectively to reduce binge drinking in 16- to 18-year-old adolescents.

Method: A three-round Delphi study was conducted. We invited experts to identify strategies to be used in Web-based CT interventions that can effectively decrease binge drinking in adolescents and to rate these strategies by importance. We asked to discriminate between interventions targeted for adolescents and those targeted for parents. Furthermore, we asked experts to suggest strategies for reducing drop-out and to indicate their importance.

Results: Important strategies mentioned by the experts were: encouraging parents to set appropriate rules, encouraging consistent communication, and training refusal skills among adolescents. Concerning the reduction of drop-out from Web-based CT interventions experts came up with suggestions involving the content of the intervention (e.g., relevant material, use of language, tailored messages) but also involving the use of reminders and incentives.

Conclusions: The results of this explorative study provide useful strategies to increase effectiveness and decrease drop-out in future interventions.

Citing Articles

Practical Issues in a Culturally Tailored Technology-Based Intervention for Asian American Colorectal Cancer Survivors.

Im E, Kim S, Ujiie M, Wang S, Chee W Cancer Nurs. 2023; 47(6):E387-E394.

PMID: 37232532 PMC: 10676443. DOI: 10.1097/NCC.0000000000001246.


Online Interventions for the Selective Prevention of Illicit Drug Use in Young Drug Users: Exploratory Study.

Tomazic T, Jerkovic O J Med Internet Res. 2020; 22(4):e17688.

PMID: 32319962 PMC: 7203615. DOI: 10.2196/17688.


How to foster informed decision making about food supplements: results from an international Delphi study.

de Vries H, Pajor E, Curfs K, Eggers S, Oenema A Health Educ Res. 2019; 34(4):435-446.

PMID: 31157369 PMC: 6646950. DOI: 10.1093/her/cyz017.


Web-Based Health Intervention for Young People Who Have a Parent with a Mental Illness: Delphi Study Among Potential Future Users.

Matar J, Maybery D, McLean L, Reupert A J Med Internet Res. 2018; 20(10):e10158.

PMID: 30381281 PMC: 6236203. DOI: 10.2196/10158.


What to Consider in a Culturally Tailored Technology-Based Intervention?.

Im E, Chee W, Hu Y, Kim S, Choi H, Hamajima Y Comput Inform Nurs. 2018; 36(9):424-429.

PMID: 29927767 PMC: 6133744. DOI: 10.1097/CIN.0000000000000450.


References
1.
Bandura A . Social cognitive theory: an agentic perspective. Annu Rev Psychol. 2001; 52:1-26. DOI: 10.1146/annurev.psych.52.1.1. View

2.
Miller J, Naimi T, Brewer R, Jones S . Binge drinking and associated health risk behaviors among high school students. Pediatrics. 2007; 119(1):76-85. DOI: 10.1542/peds.2006-1517. View

3.
Clapp J, Shillington A . Environmental predictors of heavy episodic drinking. Am J Drug Alcohol Abuse. 2001; 27(2):301-13. DOI: 10.1081/ada-100103711. View

4.
Turrisi R, Jaccard J, Taki R, Dunnam H, Grimes J . Examination of the short-term efficacy of a parent intervention to reduce college student drinking tendencies. Psychol Addict Behav. 2002; 15(4):366-72. DOI: 10.1037//0893-164x.15.4.366. View

5.
Beck K, Boyle J, Boekeloo B . Parental monitoring and adolescent alcohol risk in a clinic population. Am J Health Behav. 2003; 27(2):108-15. DOI: 10.5993/ajhb.27.2.2. View