Background: Psychiatric disorders (e g , schizophrenia) present cognitive deficits and biases that greatly impact functional outcome Due to the COVID-19 pandemic, traditional in-person assessments and interventions must be adapted… Click to show full abstract
Background: Psychiatric disorders (e g , schizophrenia) present cognitive deficits and biases that greatly impact functional outcome Due to the COVID-19 pandemic, traditional in-person assessments and interventions must be adapted for remote delivery, but many clinicians and researchers are rapidly embarking on this path with little guidance We synthesized the literature on remote cognitive assessment in psychiatry to facilitate development of these guidelines Methods: We systematically reviewed the literature via OVID and EBSCO, and searched the grey literature, selecting peer-reviewed research articles reporting on remote cognitive assessment in individuals with mental illness We recorded study parameters, remote measure characteristics, psychometric properties, facilitators, barriers, and future directions Extracted data was synthesized using the logic model methodology Results: Of 25,374 retrieved articles, 32 articles were included Remote measures were available across several cognitive domains (e g , processing speed, attention, verbal/visual/working memory, executive function, social cognition, biases) through various digital platforms Psychometric validation was performed in fewer than half of reviewed articles Facilitators included standardized procedures and automated scoring, while barriers were limited digital literacy, low engagement, and imprecise measure adaptations Conclusions: Our scoping review identified several remote cognitive measures used in psychiatry;however, there is a need for more rigorous validation of these measures The development of open-source alternatives and consideration of potential influential factors, such as sex and gender differences, is encouraged Remote mental health is currently a necessity, yet also a rare opportunity to draw from and contribute to the growing psychiatry digital health literature as well as support more personalized remote interventions Supported By: CIHR Keywords: Neurocognition, Cognitive Bias, Systematic Review, Severe Mental Illness, Remote Assessment
               
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