[IDEM-depression: Characteristics and evaluation of an open group that combines psychoeducation and cognitive-behavior therapy]

Healthy Minds: Group Cognitive-Behavioral Intervention for Sustainable Return to Work After a Sick Leave Due to Depression

Background Depression is one of the major causes for sick leave and loss of productivity at work. Many studies have investigated return to work (RTW) interventions for people with common mental disorders. However, a paucity of studies has targeted depressive symptoms in the workplace, as well as work productivity. Objectives This study presents preliminary results on a novel group intervention based on cognitive behavioral principles in order to optimize sustainable RTW, by reducing clinical symptoms (anxiety and depression) and improving work productivity. Method This pilot study followed a quasi-experimental design, with participants randomly receiving the group intervention (N = 19) or only receiving usual services (N = 11, control group). The group intervention called Healthy Minds for Sustainable RTW consists of eight sessions based on cognitive behavioral therapy principles and techniques. Outcome measures on depressive and anxiety symptoms and work productivity were administered at baseline (i.e. the start of return-to-work or gradual RTW), as well 2 months later (post-intervention), and at 6-month follow-up. Results The results did not show a time × group interaction for symptoms of depression or anxiety (p = 0.07). Those who received the group intervention however did see a within-group reduction in anxiety and depressive symptoms over time, clinically significant for the group intervention only. A significant time × group interaction for work productivity was found, with those in the intervention group improving over time compared to the control condition. Conclusion Although replication is needed, these results suggest that a brief group cognitive-behavioral intervention specifically tailored to work-related issues is promising. Future studies are warranted, particularly with larger samples and remote webconferencing delivery.