Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Feb 24, 2023
Open Peer Review Period: Feb 24, 2023 - Apr 21, 2023
Date Accepted: Jul 31, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Digital phenotyping for mental disorders monitoring: a systematic review
ABSTRACT
Background:
The COVID-19 pandemic has increased the impact and spread of mental illness and made health services difficult to access, hence the need for remote, pervasive forms of mental health monitoring. Digital Phenotyping is a new approach that aims to use the measures extracted from spontaneous interactions with smartphones (e.g., screen touches or movements) or other digital devices as markers of mental status.
Objective:
This paper aimed to systematically review the scientific literature related to the use of Digital Phenotyping for predicting relapse or exacerbations of symptoms in patients with mental disorders.
Methods:
From an initial pool of 1150 scientific papers, we selected a final sample of 29 that we divided into four groups based on the mental disorder.
Results:
The results showed that Digital Phenotyping could replace the gold standard assessment and can be used to predict relapse or symptom exacerbations.
Conclusions:
Thus, since the data are consistent for almost all the mental disorders considered (mood disorders, anxiety disorders, and schizophrenia), the feasibility of this approach is confirmed. In the future, a new model of health care management, through digital devices, should be integrated with the Digital Phenotyping approach and tailored mobile interventions (managing crises during relapse/exacerbation).
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.