Engagement with Online Mental Health Interventions: An Exploratory Clinical Study of a Treatment for Depression

Gavin Doherty, David Coyle, John Sharry

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

87 Citations (Scopus)
813 Downloads (Pure)

Abstract

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-to-severe 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.
Original languageEnglish
Title of host publicationACM CHI 2012
PublisherAssociation for Computing Machinery (ACM)
Pages1421-1430
Number of pages10
ISBN (Print) 9781450310154
DOIs
Publication statusPublished - 2012
EventACM CHI2012 - Austin, United States
Duration: 5 May 201210 May 2012

Conference

ConferenceACM CHI2012
CountryUnited States
CityAustin
Period5/05/1210/05/12

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