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基于 MyCog Mobile 的构建和临床验证研究方案:一种用于老年人的远程智能手机认知筛查工具。

Protocol for a construct and clinical validation study of MyCog Mobile: a remote smartphone-based cognitive screener for older adults.

机构信息

Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

出版信息

BMJ Open. 2024 Apr 2;14(4):e083612. doi: 10.1136/bmjopen-2023-083612.

Abstract

INTRODUCTION

Annual cognitive screening in older adults is essential for early detection of cognitive impairment, yet primary care settings face time constraints that present barriers to routine screening. A remote cognitive screener completed on a patient's personal smartphone before a visit has the potential to save primary care clinics time, encourage broader screening practices and increase early detection of cognitive decline. MyCog Mobile is a promising new remote smartphone-based cognitive screening app for primary care settings. We propose a combined construct and clinical validation study of MyCog Mobile.

METHODS AND ANALYSIS

We will recruit a total sample of 300 adult participants aged 65 years and older. A subsample of 200 healthy adult participants and a subsample of 100 adults with a cognitive impairment diagnosis (ie, dementia, mild cognitive impairment, cognitive deficits or other memory loss) will be recruited from the general population and specialty memory care centres, respectively. To evaluate the construct validity of MyCog Mobile, the healthy control sample will self-administer MyCog Mobile on study-provided smartphones and be administered a battery of gold-standard neuropsychological assessments. We will compare correlations between performance on MyCog Mobile and measures of similar and dissimilar constructs to evaluate convergent and discriminant validity. To assess clinical validity, participants in the clinical sample will self-administer MyCog Mobile on a smartphone and be administered a Mini-Cog screener and these data will be combined with the healthy control sample. We will then apply several supervised model types to determine the best predictors of cognitive impairment within the sample. Area under the receiver operating characteristic curve, accuracy, sensitivity and specificity will be the primary performance metrics for clinical validity.

ETHICS AND DISSEMINATION

The Institutional Review Board at Northwestern University (STU00214921) approved this study protocol. Results will be published in peer-reviewed journals and summaries provided to the study's funders.

摘要

简介

对老年人进行年度认知筛查对于早期发现认知障碍至关重要,但初级保健环境面临时间限制,这对常规筛查构成了障碍。在就诊前,患者使用个人智能手机完成远程认知筛查,这有可能为初级保健诊所节省时间,鼓励更广泛地进行筛查,并更早发现认知能力下降。MyCog Mobile 是一款有前途的新的适用于初级保健环境的基于智能手机的远程认知筛查应用程序。我们提出了一项针对 MyCog Mobile 的综合结构和临床验证研究。

方法和分析

我们将招募总共 300 名年龄在 65 岁及以上的成年参与者。从一般人群和专业记忆护理中心分别招募 200 名健康成年参与者和 100 名认知障碍诊断(即痴呆、轻度认知障碍、认知缺陷或其他记忆丧失)的成年参与者。为了评估 MyCog Mobile 的结构有效性,健康对照组将在研究提供的智能手机上自行使用 MyCog Mobile,并接受一系列金标准神经心理学评估。我们将比较 MyCog Mobile 上的表现与相似和不同结构的测量之间的相关性,以评估收敛和判别有效性。为了评估临床有效性,临床样本中的参与者将在智能手机上自行使用 MyCog Mobile,并接受 Mini-Cog 筛查,这些数据将与健康对照组合并。然后,我们将应用几种监督模型类型来确定样本中认知障碍的最佳预测因子。接收器工作特征曲线下面积、准确性、敏感度和特异性将是临床有效性的主要性能指标。

伦理和传播

西北大学机构审查委员会(STU00214921)批准了这项研究方案。研究结果将发表在同行评议的期刊上,并向研究的资助者提供摘要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c856/11148704/73cf98da8020/bmjopen-2023-083612f01.jpg

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