Engagement with Online Mental Health Interventions: An Exploratory Clinical Study of a Treatment for Depression. Doherty, G., Coyle, D., & Sharry, J. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, of CHI '12, pages 1421--1430, New York, NY, USA, 2012. ACM. 00000
Paper doi abstract bibtex 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.
@inproceedings{doherty_engagement_2012,
address = {New York, NY, USA},
series = {{CHI} '12},
title = {Engagement with {Online} {Mental} {Health} {Interventions}: {An} {Exploratory} {Clinical} {Study} of a {Treatment} for {Depression}},
isbn = {978-1-4503-1015-4},
shorttitle = {Engagement with {Online} {Mental} {Health} {Interventions}},
url = {http://doi.acm.org/10.1145/2207676.2208602},
doi = {10.1145/2207676.2208602},
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.},
urldate = {2017-12-12TZ},
booktitle = {Proceedings of the {SIGCHI} {Conference} on {Human} {Factors} in {Computing} {Systems}},
publisher = {ACM},
author = {Doherty, Gavin and Coyle, David and Sharry, John},
year = {2012},
note = {00000},
keywords = {cognitive behavioural therapy, depression, engagement, healthcare applications, mental health, online interventions},
pages = {1421--1430}
}
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