Cargando…

Remote cognitive assessment in severe mental illness: a scoping review

Many individuals living with severe mental illness, such as schizophrenia, present cognitive deficits and reasoning biases negatively impacting clinical and functional trajectories. Remote cognitive assessment presents many opportunities for advancing research and treatment but has yet to be widely...

Descripción completa

Detalles Bibliográficos
Autores principales: Lavigne, Katie M., Sauvé, Geneviève, Raucher-Chéné, Delphine, Guimond, Synthia, Lecomte, Tania, Bowie, Christopher R., Menon, Mahesh, Lal, Shalini, Woodward, Todd S., Bodnar, Michael D., Lepage, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897553/
https://www.ncbi.nlm.nih.gov/pubmed/35249112
http://dx.doi.org/10.1038/s41537-022-00219-x
_version_ 1784663441937530880
author Lavigne, Katie M.
Sauvé, Geneviève
Raucher-Chéné, Delphine
Guimond, Synthia
Lecomte, Tania
Bowie, Christopher R.
Menon, Mahesh
Lal, Shalini
Woodward, Todd S.
Bodnar, Michael D.
Lepage, Martin
author_facet Lavigne, Katie M.
Sauvé, Geneviève
Raucher-Chéné, Delphine
Guimond, Synthia
Lecomte, Tania
Bowie, Christopher R.
Menon, Mahesh
Lal, Shalini
Woodward, Todd S.
Bodnar, Michael D.
Lepage, Martin
author_sort Lavigne, Katie M.
collection PubMed
description Many individuals living with severe mental illness, such as schizophrenia, present cognitive deficits and reasoning biases negatively impacting clinical and functional trajectories. Remote cognitive assessment presents many opportunities for advancing research and treatment but has yet to be widely used in psychiatric populations. We conducted a scoping review of remote cognitive assessment in severe mental illness to provide an overview of available measures and guide best practices. Overall, 34 studies (n = 20,813 clinical participants) were reviewed and remote measures, psychometrics, facilitators, barriers, and future directions were synthesized using a logic model. We identified 82 measures assessing cognition in severe mental illness across 11 cognitive domains and four device platforms. Remote measures were generally comparable to traditional versions, though psychometric properties were infrequently reported. Facilitators included standardized procedures and wider recruitment, whereas barriers included imprecise measure adaptations, technology inaccessibility, low patient engagement, and poor digital literacy. Our review identified several remote cognitive measures in psychiatry across all cognitive domains. However, there is a need for more rigorous validation of these measures and consideration of potentially influential factors, such as sex and gender. We provide recommendations for conducting remote cognitive assessment in psychiatry and fostering high-quality research using digital technologies.
format Online
Article
Text
id pubmed-8897553
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-88975532022-03-07 Remote cognitive assessment in severe mental illness: a scoping review Lavigne, Katie M. Sauvé, Geneviève Raucher-Chéné, Delphine Guimond, Synthia Lecomte, Tania Bowie, Christopher R. Menon, Mahesh Lal, Shalini Woodward, Todd S. Bodnar, Michael D. Lepage, Martin Schizophrenia (Heidelb) Review Article Many individuals living with severe mental illness, such as schizophrenia, present cognitive deficits and reasoning biases negatively impacting clinical and functional trajectories. Remote cognitive assessment presents many opportunities for advancing research and treatment but has yet to be widely used in psychiatric populations. We conducted a scoping review of remote cognitive assessment in severe mental illness to provide an overview of available measures and guide best practices. Overall, 34 studies (n = 20,813 clinical participants) were reviewed and remote measures, psychometrics, facilitators, barriers, and future directions were synthesized using a logic model. We identified 82 measures assessing cognition in severe mental illness across 11 cognitive domains and four device platforms. Remote measures were generally comparable to traditional versions, though psychometric properties were infrequently reported. Facilitators included standardized procedures and wider recruitment, whereas barriers included imprecise measure adaptations, technology inaccessibility, low patient engagement, and poor digital literacy. Our review identified several remote cognitive measures in psychiatry across all cognitive domains. However, there is a need for more rigorous validation of these measures and consideration of potentially influential factors, such as sex and gender. We provide recommendations for conducting remote cognitive assessment in psychiatry and fostering high-quality research using digital technologies. Nature Publishing Group UK 2022-03-05 /pmc/articles/PMC8897553/ /pubmed/35249112 http://dx.doi.org/10.1038/s41537-022-00219-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Lavigne, Katie M.
Sauvé, Geneviève
Raucher-Chéné, Delphine
Guimond, Synthia
Lecomte, Tania
Bowie, Christopher R.
Menon, Mahesh
Lal, Shalini
Woodward, Todd S.
Bodnar, Michael D.
Lepage, Martin
Remote cognitive assessment in severe mental illness: a scoping review
title Remote cognitive assessment in severe mental illness: a scoping review
title_full Remote cognitive assessment in severe mental illness: a scoping review
title_fullStr Remote cognitive assessment in severe mental illness: a scoping review
title_full_unstemmed Remote cognitive assessment in severe mental illness: a scoping review
title_short Remote cognitive assessment in severe mental illness: a scoping review
title_sort remote cognitive assessment in severe mental illness: a scoping review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897553/
https://www.ncbi.nlm.nih.gov/pubmed/35249112
http://dx.doi.org/10.1038/s41537-022-00219-x
work_keys_str_mv AT lavignekatiem remotecognitiveassessmentinseverementalillnessascopingreview
AT sauvegenevieve remotecognitiveassessmentinseverementalillnessascopingreview
AT raucherchenedelphine remotecognitiveassessmentinseverementalillnessascopingreview
AT guimondsynthia remotecognitiveassessmentinseverementalillnessascopingreview
AT lecomtetania remotecognitiveassessmentinseverementalillnessascopingreview
AT bowiechristopherr remotecognitiveassessmentinseverementalillnessascopingreview
AT menonmahesh remotecognitiveassessmentinseverementalillnessascopingreview
AT lalshalini remotecognitiveassessmentinseverementalillnessascopingreview
AT woodwardtodds remotecognitiveassessmentinseverementalillnessascopingreview
AT bodnarmichaeld remotecognitiveassessmentinseverementalillnessascopingreview
AT lepagemartin remotecognitiveassessmentinseverementalillnessascopingreview