Design and evaluation of an interactive music therapy app for adolescents with depression

Thesis Abstract

Adolescent depression represents a significant public health concern, with traditional therapeutic interventions often facing barriers related to accessibility, engagement, and adherence. In response to these challenges, this study aims to design, implement, and evaluate an interactive music therapy application tailored specifically for adolescents experiencing depression, with the intent to enhance therapeutic engagement and facilitate mood regulation. The primary objective is to develop an evidence-based digital platform grounded in the principles of music therapy and behavioral self-regulation theories, including the Transtheoretical Model and the Personal Growth and Development Theory, to foster emotional expression, reduce depressive symptoms, and improve overall well-being among adolescents. Employing a mixed-methods research design, the study combines quantitative and qualitative approaches to provide a comprehensive evaluation of the app’s effectiveness. The target population comprises adolescents aged 13 to 18 years diagnosed with mild to moderate depression, recruited from pediatric mental health clinics within a metropolitan region. A sample of 120 participants was selected using stratified random sampling, with 60 allocated to the intervention group and 60 to a control group receiving standard care. Data collection instruments include validated scales such as the Children’s Depression Inventory (CDI), the Music Engagement Questionnaire (MEQ), and semi-structured interview protocols to capture user experiences and subjective assessments of therapeutic impact. Quantitative data will be analyzed through repeated-measures ANOVA to assess changes in depressive symptom scores over time, complemented by regression analysis to identify predictors of treatment response. The qualitative data, derived from thematic analysis of interview transcripts, will explore user engagement patterns, perceived benefits, and barriers to app utilization, providing contextual insights into the app's acceptability and experiential impact. App usage analytics, including session frequency, duration, and feature engagement, will be integrated to contextualize the quantitative findings and assess sustainability of engagement. Expected findings anticipate significant reductions in depression scores among adolescents utilizing the music therapy app compared to the control group, with higher levels of engagement correlating with better outcomes. Qualitative insights are expected to reveal themes of increased emotional expression, enhanced motivation to continue therapy, and positive perceptions of the app’s usability and therapeutic relevance. The study aims to demonstrate that the interactive music therapy app is an effective adjunct to conventional treatments, fostering increased participation and emotional processing in adolescents with depression. This research contributes new empirical evidence to the field of digital mental health interventions, bridging the gap between music therapy practices and mobile health technologies. It advances understanding of how digital platforms can be optimized for adolescent mental health care, underscoring the importance of user-centered design and behavioral theories in app development. The findings are anticipated to inform best practices for integrating interactive music-based interventions within mental health care settings, influencing policy and clinical guidelines. Concluding, the study advocates for wider adoption of interactive digital tools in adolescent mental health services, emphasizing the potential for scalable, accessible, and engaging interventions. Recommendations include further longitudinal trials to assess sustained effects, adaptations for diverse populations, and integration with existing mental health frameworks. The research underscores the critical role of innovative technological solutions in addressing unmet mental health needs among adolescents and lays a foundation for future investigations into multimedia therapeutic interventions aligned with behavioral change models.