Remote cognitive assessment in severe mental illness: a scoping review

Autor: 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
Rok vydání: 2021
Zdroj: Schizophrenia (Heidelberg, Germany). 8(1)
ISSN: 2754-6993
Popis: 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.
Databáze: OpenAIRE