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A Web-Based Transdiagnostic Intervention for Affective and Mood Disorders: Randomized Controlled Trial.
Bogdan Tudor Tulbure1, Andrei Rusu1, Florin Alin Sava1
1Psychology Department, West University of Timisoara, Timisoara, Romania.
JMIR Mental Health
|May 26, 2018
Summary
A web-based transdiagnostic program effectively treated anxiety and depression in Romanian adults, showing significant improvements in primary outcomes and quality of life. This approach offers a promising, easily disseminable mental health intervention.
Area of Science:
- Psychology and Psychiatry
- Digital Health Interventions
- Transdiagnostic Treatment Models
Background:
- Growing evidence supports transdiagnostic approaches for emotional disorders.
- International research is actively exploring unified treatment principles across diagnoses.
- This study investigates a transdiagnostic intervention for Romanian adults with anxiety/depression.
Purpose of the Study:
- To evaluate the efficacy of a Web-based transdiagnostic program.
- To assess the acceptability of this digital intervention.
- To target common underlying mechanisms of anxiety and depression.
Main Methods:
- Randomized controlled trial (2:1 ratio) comparing active treatment (N=69) to a wait-list control (N=36).
- 10-week Web-based Unified Protocol for Transdiagnostic Treatment of Emotional Disorders (UP).
- Online self-report measures and SCID-I diagnostic interviews pre- and post-intervention.
Main Results:
- The transdiagnostic intervention showed medium to large effect sizes for primary outcomes.
- Significant improvements were observed in anxiety sensitivity, symptom interference, and quality of life.
- Within-group effects were significant for Panic Disorder Severity Scale-Self Report and Yale-Brown Obsessive Compulsive Scale in the active group.
Conclusions:
- The Web-based transdiagnostic intervention is an effective treatment option for anxiety and depression.
- The digital delivery system facilitates easier dissemination of mental health services.
- Further research may be needed for specific diagnoses like OCD due to small sample sizes.
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