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Review
. 2019 Dec 10;6(12):e11643.
doi: 10.2196/11643.

How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review

Florian Ferreri #  1 , Alexis Bourla #  1   2 , Charles-Siegfried Peretti  1 , Tomoyuki Segawa  1 , Nemat Jaafari  3 , Stéphane Mouchabac  1
Affiliations
Review

How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review

Florian Ferreri et al. JMIR Ment Health. .

Abstract

Background: New technologies are set to profoundly change the way we understand and manage psychiatric disorders, including obsessive-compulsive disorder (OCD). Developments in imaging and biomarkers, along with medical informatics, may well allow for better assessments and interventions in the future. Recent advances in the concept of digital phenotype, which involves using computerized measurement tools to capture the characteristics of a given psychiatric disorder, is one paradigmatic example.

Objective: The impact of new technologies on health professionals' practice in OCD care remains to be determined. Recent developments could disrupt not just their clinical practices, but also their beliefs, ethics, and representations, even going so far as to question their professional culture. This study aimed to conduct an extensive review of new technologies in OCD.

Methods: We conducted the review by looking for titles in the PubMed database up to December 2017 that contained the following terms: [Obsessive] AND [Smartphone] OR [phone] OR [Internet] OR [Device] OR [Wearable] OR [Mobile] OR [Machine learning] OR [Artificial] OR [Biofeedback] OR [Neurofeedback] OR [Momentary] OR [Computerized] OR [Heart rate variability] OR [actigraphy] OR [actimetry] OR [digital] OR [virtual reality] OR [Tele] OR [video].

Results: We analyzed 364 articles, of which 62 were included. Our review was divided into 3 parts: prediction, assessment (including diagnosis, screening, and monitoring), and intervention.

Conclusions: 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.

Keywords: biofeedback; digital biomarkers; digital phenotyping; ecological momentary assessment; machine learning; mobile health; obsessive-compulsive disorder; virtual reality.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) diagram.
See this image and copyright information in PMC

References

    1. Ruscio AM, Stein DJ, Chiu WT, Kessler RC. The epidemiology of obsessive-compulsive disorder in the National Comorbidity Survey Replication. Mol Psychiatry. 2010 Jan;15(1):53–63. doi: 10.1038/mp.2008.94. http://europepmc.org/abstract/MED/18725912 - DOI - PMC - PubMed
    1. Lochner C, Fineberg NA, Zohar J, van Ameringen M, Juven-Wetzler A, Altamura AC, Cuzen NL, Hollander E, Denys D, Nicolini H, Dell'Osso B, Pallanti S, Stein DJ. Comorbidity in obsessive-compulsive disorder (OCD): a report from the International College of Obsessive-Compulsive Spectrum Disorders (ICOCS) Compr Psychiatry. 2014 Oct;55(7):1513–9. doi: 10.1016/j.comppsych.2014.05.020. - DOI - PubMed
    1. Sharma E, Thennarasu K, Reddy YC. Long-term outcome of obsessive-compulsive disorder in adults: a meta-analysis. J Clin Psychiatry. 2014 Sep;75(9):1019–27. doi: 10.4088/JCP.13r08849. - DOI - PubMed
    1. Moritz S, Meier B, Kloss M, Jacobsen D, Wein C, Fricke S, Hand I. Dimensional structure of the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) Psychiatry Res. 2002 Mar 15;109(2):193–9. doi: 10.1016/s0165-1781(02)00012-4. - DOI - PubMed
    1. Torous J, Onnela J, Keshavan M. New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices. Transl Psychiatry. 2017 Mar 7;7(3):e1053. doi: 10.1038/tp.2017.25. http://europepmc.org/abstract/MED/28267146 - DOI - PMC - PubMed

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