Effectiveness of Guided Internet-Based Cognitive Behavioral Therapy for Adult Anxiety and Depression in Routine Care:...

Area of Science:

• Mental Health
• Psychiatry
• Digital Therapeutics

Background:

• Internet-based cognitive behavioral therapy (iCBT) offers a scalable solution to address the treatment gap for mental health disorders.
• While randomized controlled trials (RCTs) demonstrate iCBT efficacy for anxiety and depression, real-world clinical effectiveness requires further investigation.
• Identifying predictors of treatment outcomes is crucial for optimizing resource allocation in iCBT.

Purpose of the Study:

• To evaluate the effectiveness of iCBT in routine clinical practice for depression, panic disorder, social phobia, and specific phobia.
• To identify predictors of treatment success in iCBT across different mental health conditions.
• To assess treatment effects using joint models, effect sizes, and reliable change indices.

Main Methods:

• Analysis of data from 1475 adults undergoing guided iCBT in a routine care setting.
• Utilized joint models to analyze treatment effects and identify predictors for depression, panic disorder, social phobia, and specific phobia.
• Employed effect sizes (Cohen's d) and reliable change index (RCI) to quantify treatment outcomes.

Main Results:

• Significant symptom reductions were observed for all iCBT treatments, with moderate to large effect sizes for depression, panic disorder, and social phobia.
• Approximately 26.7% of patients showed reliable improvement, and 27.0% achieved recovery.
• Higher baseline symptom severity predicted greater improvement; baseline comorbidity accelerated improvement for depression and panic disorder. Lower age, relationship status, and student status predicted faster improvement in panic disorder.

Conclusions:

• iCBT demonstrates significant effectiveness for depression, panic disorder, and social phobia in a naturalistic clinical setting.
• While effects for specific phobia were smaller, they remained statistically significant.
• Further research into process variables and comprehensive prediction models is recommended to enhance iCBT's impact.