An Internet-Based Multi-Approach Intervention Targeting University Students Suffering from Psychological Problems:...

Area of Science:

• Digital mental health
• Psychological interventions
• Student mental health

Background:

• Most psychological distress remains untreated, highlighting the need for accessible interventions.
• Internet-based psychological interventions offer a scalable solution to increase treatment availability.
• University students face unique stressors impacting their mental and physical health.

Purpose of the Study:

• To design and implement MindBlooming, an innovative internet-based multi-approach treatment for university students.
• To address symptoms of depression, anxiety, sleep problems, self-destructive thoughts, stress, burnout, and chronic pain.
• To evaluate user satisfaction, usability, treatment efficacy via randomized controlled trial, and develop a predictive model using Machine Learning.

Main Methods:

• A 7-week internet-based intervention delivered via a mobile app.
• Personalized treatment focusing on two identified problematic areas and a relational skills module.
• Utilizes psychoeducation, Cognitive-Behavioral Treatment (CBT), and third-wave CBT through videos and exercises.

Main Results:

• User satisfaction and usability will be assessed post-treatment.
• Treatment efficacy will be evaluated through a randomized controlled trial.
• A predictive model will be tuned using Machine Learning techniques.

Conclusions:

• MindBlooming is expected to be a significant tool for promoting university student mental health.
• The intervention aims to improve accessibility and availability of psychological support for students.
• Multi-approach, technology-delivered interventions show promise for addressing diverse student mental health needs.