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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...

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Detalles Bibliográficos
Autores principales: Depp, Colin A., Moore, Raeanne C., Perivoliotis, Dimitri, Granholm, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Les Laboratoires Servier 2016
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.
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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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