The study examines a sensor-based eHealth treatment for pediatric obsessive-compulsive disorder (OCD), highlighting its potential to provide therapy in home settings and collect data on patients' emotional and physical states.
It involved 20 adolescents undergoing 14 video sessions of cognitive-behavioral therapy (CBT), using various sensors to track eye movements, heart rate, and behavior patterns during treatment.
Results showed high participant satisfaction with this approach, improved therapeutic relationships, and a reduction in OCD symptoms, alongside a discussion of important factors for implementing sensor-supported therapy for young patients.
Digital health technology enhances psychotherapy for children and adolescents with OCD by offering personalized therapy options, especially through Exposure and Response Prevention therapy, which can be applied in real-life settings rather than just clinical environments.
The SSTeP KiZ study combines video therapy with wearable sensors to track physiological and behavioral responses, allowing for a more accurate assessment of stress levels during and outside therapy sessions.
Initial pilot study findings indicate that using multiple sensor modalities can effectively detect and quantify stress and anxiety, paving the way for personalized treatment approaches based on individual compulsive behavior in real-world scenarios.