Psychometric and adherence considerations for high-frequency, smartphone-based cognitive screening protocols in older adults.

Autor: Thompson LI; Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA., De Vito AN; Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA., Kunicki ZJ; Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA., Emrani S; Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA., Strenger J; Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.; Memory & Aging Program, Butler Hospital, Providence, RI, USA., Nester C; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA., Harrington KD; Center for Healthy Aging, Penn State University, University Park, PA, USA., Roque N; Department of Psychology, University of Central Florida, Orlando, FL, USA., Manoocheri M; Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA., Salloway S; Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA., Correia S; Department of Health Promotion and Behavior, School of Public Health, University of Georgia, FL, USA., Jones RN; Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA., Sliwinski MJ; Center for Healthy Aging, Penn State University, University Park, PA, USA.; Department of Human Development & Family Studies, Penn State University, University Park, PA, USA.
Jazyk: angličtina
Zdroj: Journal of the International Neuropsychological Society : JINS [J Int Neuropsychol Soc] 2024 Oct; Vol. 30 (8), pp. 785-793. Date of Electronic Publication: 2024 Sep 20.
DOI: 10.1017/S1355617724000328
Abstrakt: Objective: 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).
Methods: Cognitively unimpaired participants (N = 120, M age = 68.8, 68.3% female, 87% White, M education = 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.
Results: 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.
Conclusions: 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.
Databáze: MEDLINE
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