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

Karyotaki, E; Kleiboer, A; Smit, F; Turner, D. T; Pastor, A. M; Andersson, G; Berger, T; Botella, C; Breton, J. M; Carlbring, P; Christensen, H; de Graaf, E; Griffiths, Kathleen M; Donker, T; Farrer, L; Huibers, M. J. H; Lenndin, J; Mackinnon, A; Meyer, B; Moritz, S; Riper, H; Spek, V; Vernmark, K; Cuijpers, P


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: 2015-10
Type: Journal article
Source: Psychological Medicine
DOI: 10.1017/S0033291715000665


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