How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review.
Florian FerreriAlexis BourlaCharles-Siegfried PerettiTomoyuki SegawaNemat JaafariStephane MouchabacPublished in: JMIR mental health (2019)
The review showed that the place of connected objects, machine learning, and remote monitoring has yet to be defined in OCD. Smartphone assessment apps and the Web Screening Questionnaire demonstrated good sensitivity and adequate specificity for detecting OCD symptoms when compared with a full-length structured clinical interview. The ecological momentary assessment procedure may also represent a worthy addition to the current suite of assessment tools. In the field of intervention, CBT supported by smartphone, internet, or computer may not be more effective than that delivered by a qualified practitioner, but it is easy to use, well accepted by patients, reproducible, and cost-effective. Finally, new technologies are enabling the development of new therapies, including biofeedback and virtual reality, which focus on the learning of coping skills. For them to be used, these tools must be properly explained and tailored to individual physician and patient profiles.
Keyphrases
- obsessive compulsive disorder
- machine learning
- randomized controlled trial
- deep brain stimulation
- end stage renal disease
- virtual reality
- primary care
- emergency department
- ejection fraction
- depressive symptoms
- chronic kidney disease
- climate change
- newly diagnosed
- peritoneal dialysis
- social media
- health information