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. 2019 Dec 30;9(12):e032255. doi: 10.1136/bmjopen-2019-032255

Table 2.

Review inclusion criteria

Population General population, human users of digital technologies (mobile digital devices including smartphones and wearables) and personal electronic activity (eg, social media activity, device usage, etc). Mental health conditions listed in DSM-5 criteria.
Intervention (predictor) Use of electronic technology through which personal behaviour can be captured and measured (eg, data collected via mobile digital devices or electronic activity for example, social media usage, etc) as a source of mental health predictors.
Comparator (outcome) Use established methods of mental health diagnosis (defining health status) and assessment of mental health symptomatology as a ground truth comparator with digital phenotyping, for example, clinician assessment, medical records, screening tools and tests, patient diaries, self-reported surveys.
Outcomes The accuracy of prediction or strength of statistical relationship between digital features and mental health disorders (or their symptoms).
Study type Observational studies (cohort/longitudinal, case–control, cross-sectional).
Only publications with abstracts in English will be included.
Due to technological advancement and advent of smartphones and sensors we will only review publications from 2009.