E-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD). (1st November 2018)

• Record Type: Journal Article
• Authors: Bourla, Alexis; Mouchabac, Stephane; El Hage, Wissam; Ferreri, Florian
• Is Part Of: European journal of psychotraumatology. Volume 9(2018)Supplement 1
• Publication Date: 2018-11-01
• Subjects: Posttraumatic stress disorder -- digital phenotype -- Ecological Momentary Assessment -- virtual reality -- heart rate variability -- new technologies -- Artificial Intelligence; TEPT -- fenotipo digital -- Evaluación Ecológica Momentánea -- realidad virtual -- Variabilidad de la frecuencia cardiaca -- Nuevas tecnologías -- Inteligencia artificial; PTSD -- 数码表型 -- 生态瞬时评估 -- 虚拟现实 -- 心率变异性 -- 新技术 -- 人工智能; The impact of the new technologies on health professionals practice in PTSD care remains to be determined. We conducted an overview on the technologies used for prediction and assessment of PTSD. This review shows that it is possible to start building the PTSD digital phenotype. These tools must therefore be explained and adapted to the different profiles of physicians and patients.; Post-traumatic stress disorder -- Periodicals; Stress Disorders, Post-Traumatic; Post-traumatic stress disorder; Electronic journals; Periodicals; Periodicals; Fulltext; Internet Resources; Periodicals; 616.8521
• DOI: 10.1080/20008198.2018.1424448
• Languages: English
• ISSNs: 2000-8198

Abstract

ABSTRACT: Background : New technologies may profoundly change our way of understanding psychiatric disorders including posttraumatic stress disorder (PTSD). Imaging and biomarkers, along with technological and medical informatics developments, might provide an answer regarding at-risk patient's identification. Recent advances in the concept of 'digital phenotype', which refers to the capture of characteristics of a psychiatric disorder by computerized measurement tools, is one paradigmatic example. Objective : The impact of the new technologies on health professionals practice in PTSD care remains to be determined. The recent evolutions could disrupt the clinical practices and practitioners in their beliefs, ethics and representations, going as far as questioning their professional culture. In the present paper, we conducted an extensive search to highlight the articles which reflect the potential of these new technologies. Method : We conducted an overview by querying PubMed database with the terms [PTSD] [Posttraumatic stress disorder] AND [Computer] OR [Computerized] OR [Mobile] OR [Automatic] OR [Automated] OR [Machine learning] OR [Sensor] OR [Heart rate variability] OR [HRV] OR [actigraphy] OR [actimetry] OR [digital] OR [motion] OR [temperature] OR [virtual reality]. Results : We summarized the synthesized literature in two categories: prediction and assessment (including diagnostic, screening and monitoring). Two independent reviewers screened, extracted data and quality appraised the sources. Results were synthesized narratively. Conclusions : This overview shows that many studies are underway allowing researchers to start building a PTSD digital phenotype using passive data obtained by biometric sensors. Active data obtained from Ecological Momentary Assessment (EMA) could allow clinicians to assess PTSD patients. The place of connected objects, Artificial Intelligence and remote monitoring of patients with psychiatric pathology remains to be defined. These tools must be explained and adapted to the different profiles of physicians and patients. The involvement of patients, caregivers and health professionals is essential to the design and evaluation of these new tools.