Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782445827119120384 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4969703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Les Laboratoires Servier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT areanpatriciaa mobiletechnologyformentalhealthassessment AT hoalykien mobiletechnologyformentalhealthassessment AT anderssongerhard mobiletechnologyformentalhealthassessment |