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

Karyotaki, E. (författare)
Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
Kleiboer, A. (författare)
Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
Smit, F. (författare)
Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands; Trimbus Institute Netherlands Institute Mental Health and Addic, Netherlands
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Turner, D. T. (författare)
Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
Pastor, A. M. (författare)
Jaume University, Spain,University of Melbourne, Australia
Andersson, Gerhard (författare)
Karolinska Institutet,Linköpings universitet,Psykologi,Filosofiska fakulteten,Karolinska Institute Disabil Research, Sweden
Berger, T. (författare)
University of Bern, Switzerland
Botella, C. (författare)
Jaume University, Spain; Institute Salud Carlos III, Spain
Breton, J. M. (författare)
Jaume University, Spain,Gaia AG, Germany; City University of London, England
Carlbring, Per (författare)
Stockholms universitet,Psykologiska institutionen
Christensen, H. (författare)
Black Dog Institute, Australia; University of New S Wales, Australia
de Graaf, E. (författare)
Maastricht University, Netherlands; Erasmus MC, Netherlands
Griffiths, K. (författare)
Australian National University, Australia
Donker, T. (författare)
Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
Farrer, L. (författare)
Australian National University, Australia
Huibers, M. J. H. (författare)
Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
Lenndin, J. (författare)
Linköpings universitet,Institutionen för beteendevetenskap och lärande,Filosofiska fakulteten
Mackinnon, A. (författare)
University of Melbourne, Australia
Meyer, B. (författare)
Gaia AG, Germany; City University of London, England
Moritz, S. (författare)
University of Medical Centre Hamburg Eppendorf, Germany
Riper, H. (författare)
Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
Spek, V. (författare)
Tilburg University, Netherlands
Vernmark, Kristofer (författare)
Linköpings universitet,Psykologi,Filosofiska fakulteten,Psykologpartners, Linkoping, Sweden
Cuijpers, P. (författare)
Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
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 (creator_code:org_t)
CAMBRIDGE UNIV PRESS, 2015
2015
Engelska.
Ingår i: Psychological Medicine. - : CAMBRIDGE UNIV PRESS. - 0033-2917 .- 1469-8978. ; 45:13, s. 2717-2726
Relaterad länk:
https://urn.kb.se/re...
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https://doi.org/10.1...
http://kipublication...
https://urn.kb.se/re...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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 who may benefit from these interventions. Method. A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. Results. Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). Conclusions. Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine (hsv//eng)
SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

Nyckelord

Adherence; depression; eHealth; self-help; treatment; treatment dropout; web-based interventions
Psychology

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