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Predictors of treatment dropout in self-guided web-based interventions for depression: an 'individual patient data' meta-analysis

Karyotaki, Eirini; Kleiboer, Annet M.; Smit, Filip; Turner, David Trevor; Pastor, A.M.; Andersson, Gerhard; Berger , Thomas; Botella, Cristina; Breton, J.M.; Carlbring, Per; Christensen, Helen; de Graaf, E; Griffiths, Kathleen; Donker, Tara; Farrer, Louise; Huibers, Marcus J H; Lenndin, Jan; Mackinnon, Andrew; Meyer, Björn; Moritz, Steffen; Riper, H; Spek, Viola Rm M; Vernmark, Kristofer; Cuijpers, Pim

Description

Background: 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 meta-analysis to gain a better understanding of...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Journal article
URI: http://hdl.handle.net/1885/68319
Source: Psychological Medicine
DOI: 10.1017/S0033291715000665

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