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Engagement with online mental health interventions: an exploratory clinical study of a treatment for depression

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conference contribution
posted on 2012-07-18, 11:26 authored by Gavin Doherty, David Coyle, John Sharry
Online mental health interventions can benefit people experiencing a range of psychological difficulties, but attrition is a major problem in real-world deployments. We discuss strategies to reduce attrition, and present SilverCloud, a platform designed to provide more engaging online experiences. The paper presents the results of a practice-based clinical study in which 45 clients and 6 therapists used an online Cognitive Behavioural Therapy programme for depression. Pre and post-treatment assessments, using the Beck Depression Inventory, indicate a statistically significant improvement in depressive symptoms, with a large effect size, for the moderate-tosevere clinical sub-sample receiving standalone online treatment (n=18). This group was the primary target for the intervention. A high level of engagement was also observed compared to a prior online intervention used within the same service. We discuss strategies for design in this area and consider how the quantitative and qualitative results contribute towards our understanding of engagement.

Funding

A new method for transforming data to normality with application to density estimation

National Research Foundation

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History

Publication

CHI Conference on Human Factors in Computing Systems;pp. 1421-1430

Publisher

Association for Computing Machinery

Note

peer-reviewed

Other Funding information

IRCSET

Rights

"© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published inCHI '12 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems. http://dx.doi.org/ 10.1145/2207676.2208602

Language

English

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