Mobile technology for mental health assessment

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dc.contributor.authorAreán, P. A., Ly, K. H., & Andersson, G.
dc.date.accessioned2019-08-15T19:17:09Z
dc.date.available2019-08-15T19:17:09Z
dc.date.issued2016
dc.description.abstractAssessment and outcome monitoring are critical for the effective detection and treatment of mental illness. Traditional methods of capturing social, functional, and behavioral data are limited to the information that patients report back to their health care provider at selected points in time. As a result, these data are not accurate accounts of day-to-day functioning, as they are often influenced by biases in self-report. Mobile technology (mobile applications on smartphones, activity bracelets) has the potential to overcome such problems with traditional assessment and provide information about patient symptoms, behavior, and functioning in real time. Although the use of sensors and apps are widespread, several questions remain in the field regarding the reliability of off-the-shelf apps and sensors, use of these tools by consumers, and provider use of these data in clinical decision-making.en_US
dc.identifier.citationAreán, P. A., Ly, K. H., & Andersson, G. (2016). Mobile technology for mental health assessment. Dialogues in clinical neuroscience, 18(2), 163.en_US
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969703/
dc.identifier.urihttp://hdl.handle.net/11212/4448
dc.language.isoenen_US
dc.publisherDialogues in clinical neuroscienceen_US
dc.subjectassessmenten_US
dc.subjectmental healthen_US
dc.subjecttechnologyen_US
dc.subjectecological monetary measurementen_US
dc.subjectsensoren_US
dc.subjectSwedenen_US
dc.subjectresearchen_US
dc.subjectInternational Resourcesen_US
dc.subjectclinical decision makingen_US
dc.titleMobile technology for mental health assessmenten_US
dc.typeArticleen_US

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