Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms : Systematic Review
Seppälä, Jussi (University of Oulu (Oulu, Finlàndia))
De Vita, Ilaria (Ab.Acus srl (Milà, Itàlia))
Jämsä, Timo (Oulu University Hospital (Finlàndia))
Miettunen, Jouko (Oulu University Hospital (Finlàndia))
Isohanni, Matti (University of Oulu. Center for Life Course of Health Research)
Rubinstein, Katya (The Gertner Institute for Epidemiology and Health Policy Research)
Feldman, Yoram (The Gertner Institute for Epidemiology and Health Policy Research)
Grasa, Eva (Institut d'Investigació Biomèdica Sant Pau)
Corripio, Iluminada (Universitat Autònoma de Barcelona. Departament de Psiquiatria i de Medicina Legal)
Berdún, Jesús (Fundació TIC Salut Social)
D'Amico, Enrico (Ab.Acus srl (Milà, Itàlia))
Bulgheroni, Maria (Ab.Acus srl (Milà, Itàlia))

Date:	2019
Abstract:	Mobile Therapeutic Attention for Patients with Treatment-Resistant Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and validating an innovative therapeutic program for treatment-resistant schizophrenia. The program exploits information from mobile phones and wearable sensors for behavioral tracking to support intervention administration. To systematically review original studies on sensor-based mHealth apps aimed at uncovering associations between sensor data and symptoms of psychiatric disorders in order to support the m-RESIST approach to assess effectiveness of behavioral monitoring in therapy. A systematic review of the English-language literature, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was performed through Scopus, PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials databases. Studies published between September 1, 2009, and September 30, 2018, were selected. Boolean search operators with an iterative combination of search terms were applied. Studies reporting quantitative information on data collected from mobile use and/or wearable sensors, and where that information was associated with clinical outcomes, were included. A total of 35 studies were identified; most of them investigated bipolar disorders, depression, depression symptoms, stress, and symptoms of stress, while only a few studies addressed persons with schizophrenia. The data from sensors were associated with symptoms of schizophrenia, bipolar disorders, and depression. Although the data from sensors demonstrated an association with the symptoms of schizophrenia, bipolar disorders, and depression, their usability in clinical settings to support therapeutic intervention is not yet fully assessed and needs to be scrutinized more thoroughly.
Note:	Altres ajuts: This work was supported by the Horizon 2020 Framework Programme of the European Union (grant number 643552) and was partly funded by Fonds Européen de Développement Économique et Régional (FEDER) and Centres de Recerca de Catalunya (CERCA) Programme, Generalitat de Catalunya. We are grateful to all members of the m-RESIST project, who are also collaborative authors of this review under the name of m-RESIST Group.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Sensors ; Mobile phone ; M-RESIST ; Ecological momentary assessment ; EMA ; Psychiatric disorder ; Schizophrenia
Published in:	JMIR Mental Health, Vol. 6 (february 2019) , ISSN 2368-7959

DOI: 10.2196/mental.9819
PMID: 30785404

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