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

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-base...

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Veröffentlicht in:	Psychological medicine 2015-10, Vol.45 (13), p.2717-2726
Hauptverfasser:	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, K., Donker, T., Farrer, L., Huibers, M. J. H., Lenndin, J., Mackinnon, A., Meyer, B., Moritz, S., Riper, H., Spek, V., Vernmark, K., Cuijpers, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	adherence Anxiety - therapy depression Depression - therapy eHealth Humans Internet Intervention Mental depression Meta-analysis Original Articles Patient Dropouts - statistics & numerical data Prognosis Psychology Psychotherapy - methods psykologi Randomized Controlled Trials as Topic self-help Systematic review treatment treatment dropout web-based interventions
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