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Mobile technology for mental health assessment

Assessment 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...

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Detalles Bibliográficos
Autores principales: Areàn, Patricia A., Hoa Ly, Kien, Andersson, Gerhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Les Laboratoires Servier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969703/
https://www.ncbi.nlm.nih.gov/pubmed/27489456
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author Areàn, Patricia A.
Hoa Ly, Kien
Andersson, Gerhard
author_facet Areàn, Patricia A.
Hoa Ly, Kien
Andersson, Gerhard
author_sort Areàn, Patricia A.
collection PubMed
description Assessment 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.
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spelling pubmed-49697032016-08-03 Mobile technology for mental health assessment Areàn, Patricia A. Hoa Ly, Kien Andersson, Gerhard Dialogues Clin Neurosci Clinical Research Assessment 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. Les Laboratoires Servier 2016-06 /pmc/articles/PMC4969703/ /pubmed/27489456 Text en Copyright: © 2016 Institut la Conference Hippocrate - Servier Research Group http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Research
Areàn, Patricia A.
Hoa Ly, Kien
Andersson, Gerhard
Mobile technology for mental health assessment
title Mobile technology for mental health assessment
title_full Mobile technology for mental health assessment
title_fullStr Mobile technology for mental health assessment
title_full_unstemmed Mobile technology for mental health assessment
title_short Mobile technology for mental health assessment
title_sort mobile technology for mental health assessment
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969703/
https://www.ncbi.nlm.nih.gov/pubmed/27489456
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