The Role of Early Engagement in a Self-Directed, Digital Mental Health Intervention for Adolescent Anxiety: Moderated Regression Analysis
Emma-Leigh Senyard, Arlen Rowe, Govind Krishnamoorthy, Susan H Spence, Caroline Donovan, Sonja March

TL;DR
This study explores how early engagement in a digital mental health program for adolescent anxiety predicts continued engagement, emphasizing the importance of initial task and response depth.
Contribution
The study identifies early engagement metrics as predictors of continued engagement in a self-directed digital mental health program for adolescents.
Findings
Early task completion and response depth in the first two sessions predict continued engagement (R²=0.035 and R²=0.08, respectively).
Demographic factors and baseline anxiety severity do not directly impact adolescent engagement in the program.
Abstract
Digital mental health (dMH) interventions offer the ability to reach many more adolescents with anxiety than face-to-face therapy. While efficacious dMH interventions are available for adolescents, premature dropout and low engagement are common, especially if delivered on a self-help basis without any form of therapist guidance. This is concerning, given that higher engagement, in terms of the number of sessions completed, has been repeatedly associated with improved clinical outcomes. The reasons for poor adolescent engagement in dMH programs are unclear. A clear understanding of when and why disengagement occurs is important in order to seek to improve engagement rates. Contemporary models consider engagement as multifaceted, comprising both “use” (eg, amount of content completed, frequency of use, duration spent logged into the dMH program, and depth of use, such as word or…
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Taxonomy
TopicsChild and Adolescent Psychosocial and Emotional Development · Digital Mental Health Interventions · Impact of Technology on Adolescents
