Effectiveness of an individually-tailored computerised CBT programme (Deprexis) for depression: A meta-analysis.
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Authors
Twomey, Conal
O'Reilly, Gary
Meyer, Björn
Issue Date
2017-06-27
Type
Journal Article
Meta-Analysis
Review
Meta-Analysis
Review
Language
en
Keywords
Computerised CBT , Depression , Deprexis , Internet interventions , Meta-analysis
Alternative Title
Abstract
Computerised cognitive behavioural therapy (cCBT) programmes differ widely but have rarely been evaluated separately through meta-analysis. Through a meta-analysis of randomised controlled trials, we investigated the effectiveness of 'Deprexis', an unconventional and individually-tailored cCBT programme for depression. Comparisons from eight studies (N = 2402) demonstrated the effectiveness of Deprexis for depressive symptoms at post-intervention, with a medium effect size (g = 0.54, 95% CI: 0.39-0.69). Analogous results arose when study quality, screening, and randomisation procedure were taken into account. The level of guidance provided alongside Deprexis had a statistically non-significant impact upon the effect size. There was no significant difference in the performance of Deprexis in developer-led trials compared with non-developer trials, and no publication bias was detected. The weighted-average dropout rate for participants allocated to Deprexis treatment arms in included studies was 26.5%. Based primarily on trials in naturalistic community settings, the findings support the effectiveness of Deprexis for depressive symptoms. The positive findings add to the growing evidence-base for individually-tailored cCBT programmes and point to the need for further investigations of apparent systematic differences in the effectiveness of specific cCBT programmes.
Description
Citation
Twomey, C., O'Reilly, G., & Meyer, B. (2017). Effectiveness of an individually-tailored computerised CBT programme (Deprexis) for depression: A meta-analysis. Psychiatry research, 256, 371–377. https://doi.org/10.1016/j.psychres.2017.06.081
Publisher
License
Copyright © 2017 Elsevier B.V. All rights reserved.
Journal
Psychiatry research
Volume
256
Issue
PubMed ID
ISSN
1872-7123