The Role of Human Support on Engagement in an Online Depression Prevention Program for Youth

Background: Depression is a significant public health problem for adolescents. The goal of this study was to evaluate the moderating role of human support in an online depression prevention program on both depression outcomes and overall engagement with the intervention. CATCH-IT is an Internet-based depression prevention program that has been shown to reduce symptoms for adolescents who report elevated depression symptom scores, compared to a health education (HE) control group. Participants in the CATCH-IT arm received human support (e.g., motivational interviewing, completed contacts). This study analyzes the moderating role of human support on depressive outcomes and engagement, and examines if engagement predicts depression outcomes. Methods: This secondary analysis consists of a randomized controlled trial for adolescents assigned to the CATCH-IT group. Mixed effects modeling, general linear models, and an exploratory multiple linear regression were used to explore the moderating relationship of human support between intervention and overall engagement. Study variables included depression outcomes (e.g., Center for Epidemiological Studies Depression Scale (CESD)), engagement components (e.g., modules completed, time on the site, and characters typed) and human support (e.g., motivational interviews and completed contacts.) Results: Results showed no significant relationship between contacts, motivational interviews, and depression scores. However, motivational interviews increased engagement with the intervention, such that those who received more motivational interviews completed significantly more modules, spent more time on the site, and typed more characters ( p < 0.05). The number of contacts increased engagement with the intervention, and those who received more contacts spent more time on the site and typed more characters ( p < 0.05). Exploratory multiple linear regression modeling demonstrated that male, African American/Black, and Hispanic/Latinx users were less engaged compared to other users. Lastly, engagement was not a significant predictor of depression outcomes ( p > 0.05). Conclusions: The efficacy of CATCH-IT is not better explained by the degree to which participants received doses of human support from providers during the use of this online intervention. This may reveal the high potential of effective online interventions without the blended integration of human support for adolescents. To increase engagement of adolescents with an online depression prevention program, human support may be more efficient when utilizing MI rather than technical support.