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Behavioural Activation for Depression: An Update of Meta-Analysis of Effectiveness and Sub Group Analysis

Ekers, D.; Webster, L.A.D.; Van Straten, Annemieke; Cuijpers, P.; Richards, D.; Gilbody, S.

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Authors

D. Ekers

L.A.D. Webster

Annemieke Van Straten

P. Cuijpers

D. Richards

S. Gilbody



Abstract

Background: Depression is a common, disabling condition for which psychological treatments are recommended. Behavioural activation has attracted increased interest in recent years. It has been over 5 years since our meta-analyses summarised the evidence supporting and this systematic review updates those findings and examines moderators of treatment effect. Method: Randomised trials of behavioural activation for depression versus controls or anti-depressant medication were identified using electronic database searches, previous reviews and reference lists. Data on symptom level and study level moderators were extracted and analysed using meta-analysis, sub-group analysis and meta-regression respectively. Results: Twenty six randomised controlled trials including 1524 subjects were included in this meta-analysis. A random effects meta-analysis of symptom level post treatment showed behavioural activation to be superior to controls (SMD −0.74 CI −0.91 to −0.56, k = 25, N = 1088) and medication (SMD −0.42 CI −0.83 to-0.00, k = 4, N = 283). Study quality was low in the majority of studies and follow- up time periods short. There was no indication of publication bias and subgroup analysis showed limited association between moderators and effect size. Conclusions: The results in this meta-analysis support and strengthen the evidence base indicating Behavioural Activation is an effective treatment for depression. Further high quality research with longer term follow-up is needed to strengthen the evidence base.

Citation

Ekers, D., Webster, L., Van Straten, A., Cuijpers, P., Richards, D., & Gilbody, S. (2014). Behavioural Activation for Depression: An Update of Meta-Analysis of Effectiveness and Sub Group Analysis. PLoS ONE, 9(6), Article e100100. https://doi.org/10.1371/journal.pone.0100100

Journal Article Type Article
Publication Date Jun 17, 2014
Deposit Date Jun 19, 2014
Publicly Available Date Aug 21, 2014
Journal PLoS ONE
Publisher Public Library of Science
Peer Reviewed Peer Reviewed
Volume 9
Issue 6
Article Number e100100
DOI https://doi.org/10.1371/journal.pone.0100100

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2014 Ekers et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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