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严重精神疾病的远程认知评估:一项范围综述

Remote cognitive assessment in severe mental illness: a scoping review.

作者信息

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

机构信息

Department of psychiatry, McGill University, Montreal, QC, Canada.

Department of psychology, University of Quebec in Montreal, Montreal, QC, Canada.

出版信息

Schizophrenia (Heidelb). 2022 Mar 5;8(1):14. doi: 10.1038/s41537-022-00219-x.

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.

摘要

许多患有严重精神疾病(如精神分裂症)的个体存在认知缺陷和推理偏差,对临床和功能发展轨迹产生负面影响。远程认知评估为推进研究和治疗提供了诸多机会,但尚未在精神科人群中广泛应用。我们对严重精神疾病的远程认知评估进行了一项范围综述,以概述可用的测量方法并指导最佳实践。总体而言,我们审查了34项研究(n = 20813名临床参与者),并使用逻辑模型综合了远程测量方法、心理测量学、促进因素、障碍和未来方向。我们在11个认知领域和四个设备平台上确定了82种评估严重精神疾病认知的测量方法。远程测量方法通常与传统版本相当,不过心理测量学特性的报告较少。促进因素包括标准化程序和更广泛的招募,而障碍包括测量方法的不精确改编、技术不可及、患者参与度低和数字素养差。我们的综述在所有认知领域中确定了几种精神科的远程认知测量方法。然而,需要对这些测量方法进行更严格的验证,并考虑潜在的影响因素,如性别。我们为在精神科进行远程认知评估以及利用数字技术促进高质量研究提供了建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8160/8898308/b37ac7994a8c/41537_2022_219_Fig1_HTML.jpg

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