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Technology to assess and support self-management in serious mental illness
The functional impairment associated with serious mental illness (SMI) places an immense burden on individuals and society, and disability often persists even after efficacious treatment of psychopathologic symptoms. Traditional methods of measuring functioning have limitations, and numerous obstacl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Les Laboratoires Servier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969704/ https://www.ncbi.nlm.nih.gov/pubmed/27489457 |
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author | Depp, Colin A. Moore, Raeanne C. Perivoliotis, Dimitri Granholm, Eric |
author_facet | Depp, Colin A. Moore, Raeanne C. Perivoliotis, Dimitri Granholm, Eric |
author_sort | Depp, Colin A. |
collection | PubMed |
description | The functional impairment associated with serious mental illness (SMI) places an immense burden on individuals and society, and disability often persists even after efficacious treatment of psychopathologic symptoms. Traditional methods of measuring functioning have limitations, and numerous obstacles reduce the reach and impact of evidence-based interventions developed to improve functioning in SMI. This review describes the potential of technological innovations for overcoming the challenges involved in both functional assessment and intervention in people with SMI. Ecological momentary assessment (EMA), which involves the repeated sampling of naturalistic behaviors and experiences while individuals carry out their daily lives, has provided a new window through which the determinants of day-to-day function in SMI can be observed. EMA has several advantages over traditional assessment methods and has in recent years evolved to use mobile-based platforms, such as text messaging and smartphone applications, for both assessment and promotion of self-management in people with SMI. We will review promising data regarding the acceptability, adherence, and efficacy of EMA-based mobile technologies; explore ways in which these technologies can extend the reach and impact of evidence-based psychosocial rehabilitative interventions in SMI; and outline future directions for research in this important area. |
format | Online Article Text |
id | pubmed-4969704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Les Laboratoires Servier |
record_format | MEDLINE/PubMed |
spelling | pubmed-49697042016-08-03 Technology to assess and support self-management in serious mental illness Depp, Colin A. Moore, Raeanne C. Perivoliotis, Dimitri Granholm, Eric Dialogues Clin Neurosci Clinical Research The functional impairment associated with serious mental illness (SMI) places an immense burden on individuals and society, and disability often persists even after efficacious treatment of psychopathologic symptoms. Traditional methods of measuring functioning have limitations, and numerous obstacles reduce the reach and impact of evidence-based interventions developed to improve functioning in SMI. This review describes the potential of technological innovations for overcoming the challenges involved in both functional assessment and intervention in people with SMI. Ecological momentary assessment (EMA), which involves the repeated sampling of naturalistic behaviors and experiences while individuals carry out their daily lives, has provided a new window through which the determinants of day-to-day function in SMI can be observed. EMA has several advantages over traditional assessment methods and has in recent years evolved to use mobile-based platforms, such as text messaging and smartphone applications, for both assessment and promotion of self-management in people with SMI. We will review promising data regarding the acceptability, adherence, and efficacy of EMA-based mobile technologies; explore ways in which these technologies can extend the reach and impact of evidence-based psychosocial rehabilitative interventions in SMI; and outline future directions for research in this important area. Les Laboratoires Servier 2016-06 /pmc/articles/PMC4969704/ /pubmed/27489457 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 Depp, Colin A. Moore, Raeanne C. Perivoliotis, Dimitri Granholm, Eric Technology to assess and support self-management in serious mental illness |
title | Technology to assess and support self-management in serious mental illness |
title_full | Technology to assess and support self-management in serious mental illness |
title_fullStr | Technology to assess and support self-management in serious mental illness |
title_full_unstemmed | Technology to assess and support self-management in serious mental illness |
title_short | Technology to assess and support self-management in serious mental illness |
title_sort | technology to assess and support self-management in serious mental illness |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969704/ https://www.ncbi.nlm.nih.gov/pubmed/27489457 |
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