Remote cognitive assessment in severe mental illness: a scoping review

Abstract 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 b...

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Main Authors: Katie M. Lavigne, Geneviève Sauvé, Delphine Raucher-Chéné, Synthia Guimond, Tania Lecomte, Christopher R. Bowie, Mahesh Menon, Shalini Lal, Todd S. Woodward, Michael D. Bodnar, Martin Lepage
Format: Article
Language:English
Published: Nature Portfolio 2022-03-01
Series:npj Schizophrenia
Online Access:https://doi.org/10.1038/s41537-022-00219-x
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author Katie M. Lavigne
Geneviève Sauvé
Delphine Raucher-Chéné
Synthia Guimond
Tania Lecomte
Christopher R. Bowie
Mahesh Menon
Shalini Lal
Todd S. Woodward
Michael D. Bodnar
Martin Lepage
author_facet Katie M. Lavigne
Geneviève Sauvé
Delphine Raucher-Chéné
Synthia Guimond
Tania Lecomte
Christopher R. Bowie
Mahesh Menon
Shalini Lal
Todd S. Woodward
Michael D. Bodnar
Martin Lepage
author_sort Katie M. Lavigne
collection DOAJ
description Abstract 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.
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spelling doaj.art-22bd91501e134dc6ba8882628849f0c82023-11-02T00:01:58ZengNature Portfolionpj Schizophrenia2334-265X2022-03-018111210.1038/s41537-022-00219-xRemote cognitive assessment in severe mental illness: a scoping reviewKatie M. Lavigne0Geneviève Sauvé1Delphine Raucher-Chéné2Synthia Guimond3Tania Lecomte4Christopher R. Bowie5Mahesh Menon6Shalini Lal7Todd S. Woodward8Michael D. Bodnar9Martin Lepage10Department of psychiatry, McGill UniversityDepartment of psychology, University of Quebec in MontrealDepartment of psychiatry, McGill UniversityDepartment of psychiatry, University of Ottawa, The Royal’s Institute of Mental Health ResearchDepartment of psychology, University of MontrealDepartment of psychology, Queen’s UniversityDepartment of psychiatry, University of British ColumbiaSchool of Rehabilitation, University of MontrealDepartment of psychiatry, University of British ColumbiaDepartment of psychiatry, University of Ottawa, The Royal’s Institute of Mental Health ResearchDepartment of psychiatry, McGill UniversityAbstract 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.https://doi.org/10.1038/s41537-022-00219-x
spellingShingle Katie M. Lavigne
Geneviève Sauvé
Delphine Raucher-Chéné
Synthia Guimond
Tania Lecomte
Christopher R. Bowie
Mahesh Menon
Shalini Lal
Todd S. Woodward
Michael D. Bodnar
Martin Lepage
Remote cognitive assessment in severe mental illness: a scoping review
npj Schizophrenia
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
url https://doi.org/10.1038/s41537-022-00219-x
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