Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.
Memory & Aging Program, Butler Hospital, Providence, RI, USA.
J Int Neuropsychol Soc. 2024 Oct;30(8):785-793. doi: 10.1017/S1355617724000328. Epub 2024 Sep 20.
The psychometric rigor of unsupervised, smartphone-based assessments and factors that impact remote protocol engagement is critical to evaluate prior to the use of such methods in clinical contexts. We evaluated the validity of a high-frequency, smartphone-based cognitive assessment protocol, including examining convergence and divergence with standard cognitive tests, and investigating factors that may impact adherence and performance (i.e., time of day and anticipated receipt of feedback vs. no feedback).
Cognitively unimpaired participants (N = 120, M = 68.8, 68.3% female, 87% White, M = 16.5 years) completed 8 consecutive days of the Mobile Monitoring of Cognitive Change (M2C2), a mobile app-based testing platform, with brief morning, afternoon, and evening sessions. Tasks included measures of working memory, processing speed, and episodic memory. Traditional neuropsychological assessments included measures from the Preclinical Alzheimer's Cognitive Composite battery.
Findings showed overall high compliance (89.3%) across M2C2 sessions. Average compliance by time of day ranged from 90.2% for morning sessions, to 77.9% for afternoon sessions, and 84.4% for evening sessions. There was evidence of faster reaction time and among participants who expected to receive performance feedback. We observed excellent convergent and divergent validity in our comparison of M2C2 tasks and traditional neuropsychological assessments.
This study supports the validity and reliability of self-administered, high-frequency cognitive assessment via smartphones in older adults. Insights into factors affecting adherence, performance, and protocol implementation are discussed.
在将这些方法用于临床环境之前,对无监督、基于智能手机的评估的心理计量学严谨性以及影响远程协议参与的因素进行评估至关重要。我们评估了一种基于智能手机的高频认知评估方案的有效性,包括检验与标准认知测试的收敛和发散,并研究可能影响依从性和表现的因素(即,接受反馈与不接受反馈的时间和预期)。
认知正常的参与者(N=120,M=68.8,68.3%女性,87%白人,M=16.5 岁)连续 8 天完成了基于移动应用的测试平台“认知变化的移动监测”(M2C2),每天进行简短的早晨、下午和晚上测试。任务包括工作记忆、处理速度和情景记忆的测量。传统神经心理学评估包括来自“临床前阿尔茨海默病认知综合评分”(Preclinical Alzheimer's Cognitive Composite battery)的测量。
研究结果显示,M2C2 各阶段的总体依从性(89.3%)较高。平均每日依从性从早晨的 90.2%到下午的 77.9%,再到晚上的 84.4%。有证据表明,在期待获得表现反馈的参与者中,反应时间更快。我们在 M2C2 任务和传统神经心理学评估的比较中观察到了极好的收敛和发散有效性。
本研究支持了老年人通过智能手机进行自我管理、高频认知评估的有效性和可靠性。讨论了影响依从性、表现和协议实施的因素。