Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis
Abstract
It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data...
Paper Details
Title
Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis
Published Date
Apr 17, 2015
Journal
Volume
45
Issue
13
Pages
2717 - 2726
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