Introduction: While self-administered mobile app-based cognitive behavioral therapy (CBT) has shown efficiency and effectiveness over the past decade, attempts to address automatic and negative beliefs have been lacking. The purpose of this study was to introduce and verify a mobile app that directly intervenes in dysfunctional thoughts. This app-based treatment includes recognizing automatic and negative thoughts of the protagonist of scenarios, writing advice directly to the main character, and sharing advice provided by other participants.
Materials and methods: Thirty-four participants diagnosed with Other Specified Depressive Disorder were recruited and randomly allocated to a CBT-based mobile-app program, the Todac Todac (TT group), or a daily mood chart app program (control group). Participants were asked to use the software for 3 weeks. Assessments for autonomic thoughts and clinical symptoms were administered at baseline and at a follow-up evaluation.
Results: After completing the 3-week program, Dysfunctional Attitude Scale (DAS) scores in TT group were lower than they were in the control group. In clinical measures, both TT group and control group showed reduced Beck Depression Inventory-II (BDI-II) scores and situation-dependent trait version of State-Trait Anxiety Inventory (STAI-X2) at follow-up. However, TT group showed significantly reduced STAI-X2 scores compared to control group. For all participants, changes in DAS scores were correlated with BDI-II and STAI-X2 scores.
Conclusions: Our preliminary findings provide promising evidence that scenario-based CBT mobile apps can be used to deliver feasible and efficacious cognitive therapy. Long-term research is needed to determine the impact and effectiveness of this new treatment format.
Keywords: cognitive behavioral therapy; depression; e-health; intervention; m-health; mobile app; telehealth; telepsychiatry.