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Exploring the Role of Persuasive Design in Unguided Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Among Adults: Systematic Review, Meta-analysis, and Meta-regression
Stockholm University, Faculty of Social Sciences, Department of Psychology, Clinical psychology. Karolinska Institutet, Sweden.ORCID iD: 0000-0003-4237-7159
Number of Authors: 32021 (English)In: Journal of Medical Internet Research, E-ISSN 1438-8871, Vol. 23, no 4, article id e26939Article, review/survey (Refereed) Published
Abstract [en]

Background: Internet-delivered cognitive behavioral therapy (ICBT) is an effective treatment that can overcome barriers to mental health care. Various research groups have suggested that unguided ICBT (ie, ICBT without therapist support) and other eHealth interventions can be designed to enhance user engagement and thus outcomes. The persuasive systems design framework captures most design recommendations for eHealth interventions, but there is little empirical evidence that persuasive design is related to clinical outcomes in unguided ICBT.

Objective: This study aims to provide an updated meta-analysis of randomized controlled trials of unguided ICBT for depression and anxiety, describe the frequency with which various persuasive design principles are used in such interventions, and use meta-regression to explore whether a greater number of persuasive design elements predicts efficacy in unguided ICBT for depression and anxiety.

Methods: We conducted a systematic review of 5 databases to identify randomized controlled trials of unguided ICBT for depression and anxiety. We conducted separate random effects meta-analyses and separate meta-regressions for depression and anxiety interventions. Each meta-regression included 2 steps. The first step included, as a predictor, whether each intervention was transdiagnostic. For the meta-regression of ICBT for depression, the first step also included the type of control condition. The number of persuasive design principles identified for each intervention was added as a predictor in the second step to reveal the additional variance in effect sizes explained by persuasive design.

Results: Of the 4471 articles we identified in our search, 46 (1.03%) were eligible for inclusion in our analyses. Our meta-analyses showed effect sizes (Hedges g) ranging from 0.22 to 0.31 for depression interventions, depending on the measures taken to account for bias in the results. We found a mean effect size of 0.45 (95% CI 0.33-0.56) for anxiety interventions, with no evidence that the results were inflated by bias. Included interventions were identified as using between 1 and 13 persuasive design principles, with an average of 4.95 (SD 2.85). The meta-regressions showed that a greater number of persuasive design principles predicted greater efficacy in ICBT for depression (R-2 change=0.27; B=0.04; P=.02) but not anxiety (R-2 change=0.05; B=0.03; P=.17).

Conclusions: These findings show wide variability in the use of persuasive design in unguided ICBT for depression and anxiety and provide preliminary support for the proposition that more persuasively designed interventions are more efficacious, at least in the treatment of depression. Further research is needed to clarify the role of persuasive design in ICBT.

Place, publisher, year, edition, pages
2021. Vol. 23, no 4, article id e26939
Keywords [en]
ICBT, internet, depression, anxiety, persuasive design, eHealth
National Category
Psychiatry
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-193695DOI: 10.2196/26939ISI: 000646931000004PubMedID: 33913811OAI: oai:DiVA.org:su-193695DiVA, id: diva2:1564948
Available from: 2021-06-13 Created: 2021-06-13 Last updated: 2024-01-17Bibliographically approved

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Hadjistavropoulos, Heather D.Sundström, Christopher Richard Francis

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