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Predictors of treat...
Predictors of treatment dropout in self-guided web-based interventions for depression: an individual patient data meta-analysis
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- Karyotaki, E. (författare)
- Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
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- Kleiboer, A. (författare)
- Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
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- 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
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- Pastor, A. M. (författare)
- Jaume University, Spain,University of Melbourne, Australia
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- Andersson, Gerhard (författare)
- Karolinska Institutet,Linköpings universitet,Psykologi,Filosofiska fakulteten,Karolinska Institute Disabil Research, Sweden
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- Berger, T. (författare)
- University of Bern, Switzerland
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- Botella, C. (författare)
- Jaume University, Spain; Institute Salud Carlos III, Spain
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- Breton, J. M. (författare)
- Jaume University, Spain,Gaia AG, Germany; City University of London, England
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- Carlbring, Per (författare)
- Stockholms universitet,Psykologiska institutionen
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- Christensen, H. (författare)
- Black Dog Institute, Australia; University of New S Wales, Australia
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- de Graaf, E. (författare)
- Maastricht University, Netherlands; Erasmus MC, Netherlands
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- Griffiths, K. (författare)
- Australian National University, Australia
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- Donker, T. (författare)
- Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
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- Farrer, L. (författare)
- Australian National University, Australia
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- Huibers, M. J. H. (författare)
- Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
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- Lenndin, J. (författare)
- Linköpings universitet,Institutionen för beteendevetenskap och lärande,Filosofiska fakulteten
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- Mackinnon, A. (författare)
- University of Melbourne, Australia
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- Meyer, B. (författare)
- Gaia AG, Germany; City University of London, England
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- Moritz, S. (författare)
- University of Medical Centre Hamburg Eppendorf, Germany
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- Riper, H. (författare)
- Vrije University of Amsterdam, Netherlands; Vrije University of Amsterdam, Netherlands
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- Spek, V. (författare)
- Tilburg University, Netherlands
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- Vernmark, Kristofer (författare)
- Linköpings universitet,Psykologi,Filosofiska fakulteten,Psykologpartners, Linkoping, Sweden
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- 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.
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Ingår i: Psychological Medicine. - : CAMBRIDGE UNIV PRESS. - 0033-2917 .- 1469-8978. ; 45:13, s. 2717-2726
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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http://kipublication...
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https://urn.kb.se/re...
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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
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Karyotaki, E.
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Kleiboer, A.
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Smit, F.
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Turner, D. T.
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Pastor, A. M.
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Andersson, Gerha ...
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visa fler...
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Berger, T.
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Botella, C.
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Breton, J. M.
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Carlbring, Per
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Christensen, H.
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de Graaf, E.
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Griffiths, K.
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Donker, T.
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Farrer, L.
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Huibers, M. J. H ...
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Lenndin, J.
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Mackinnon, A.
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Meyer, B.
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Moritz, S.
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Riper, H.
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Spek, V.
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Vernmark, Kristo ...
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Cuijpers, P.
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Linköpings universitet
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Karolinska Institutet
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Stockholms universitet