Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study

Area of Science:

• Digital Health
• Mental Health Interventions
• Cognitive Behavioral Therapy

Background:

• Digital mental health interventions provide scalable solutions for depression and anxiety.
• These interventions reduce barriers to accessing mental healthcare.

Purpose of the Study:

• To evaluate a 12-week app-based cognitive behavioral therapy (CBT) program.
• To assess symptom improvement in depression and anxiety over 9 months.

Main Methods:

• 146 participants with mild to moderate depression/anxiety completed follow-up assessments.
• A 12-week program included digital lessons, tools, and weekly therapist video sessions.
• Patient Health Questionnaire (PHQ-8) and Generalized Anxiety Disorder Scale (GAD-7) measured outcomes.
• Linear mixed-effects modeling analyzed changes over time.

Main Results:

• Significant improvements in depression and anxiety scores were observed.
• Depression scores reduced by 3.76 points by week 12, and further by month 9 (6.42-point reduction).
• Anxiety scores reduced by 3.17 points by week 12, maintained through month 9 (5.19-point reduction).
• Higher engagement in the first 12 weeks predicted greater depression reduction.

Conclusions:

• Digital interventions support sustained, clinically meaningful improvements in depression and anxiety.
• Strong initial engagement may enhance the effectiveness of digital mental health programs.
• Study limitations include participant attrition and observational design.