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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

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Published on: May 31, 2019

Attrition in web-based treatment for problem drinkers.

Marloes G Postel¹, Hein A de Haan, Elke D ter Huurne

¹Tactus Addiction Treatment, Enschede, Netherlands. m.postel@tactus.nl

Journal of Medical Internet Research

|December 29, 2011

Summary

Web-based alcohol interventions are effective, but high attrition limits success. Improving adherence through strategies like email reminders and flexibility is key to enhancing public health impact.

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Area of Science:

Digital Health
Behavioral Science
Public Health

Background:

Web-based interventions for problem drinking show effectiveness but suffer from high attrition rates.
Understanding attrition is crucial for improving completion rates and the success of online treatment programs.

Purpose of the Study:

To examine attrition prevalence and pretreatment predictors in open-access users of a web-based problem drinking program.
To further explore attrition data from a randomized controlled trial (RCT) of the same web-based program.

Main Methods:

Collected attrition data from 885 open-access users and 156 RCT participants in Dutch-speaking regions.
Classified noncompleters as those not finishing all 12 treatment sessions; analyzed predictors using logistic regression.
Analyzed qualitative data on reasons for noncompletion and suggestions for improvement via thematic analysis.

Main Results:

Treatment completers differed significantly between open-access (35.0%) and RCT (45%) groups.
Predictors of completion included treatment readiness, gender, education, age, baseline alcohol consumption, and readiness to change.
Key reasons for noncompletion were personal issues, dissatisfaction, and perceived self-improvement; suggested strategies included email notifications and flexibility.

Conclusions:

Maintaining participant engagement is a significant challenge for web-based alcohol treatment programs, more so than initial effectiveness.
Further research should evaluate strategies like email notifications and increased flexibility to reduce attrition.
Improving adherence rates in web-based interventions can enhance their success and public health impact.