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Validation of a Remote and Fully Automated Story Recall Task to Assess for Early Cognitive Impairment in Older Adults: Longitudinal Case-Control Observational Study

Validation of a Remote and Fully Automated Story Recall Task to Assess for Early Cognitive Impairment in Older Adults: Longitudinal Case-Control Observational Study

Further analysis was performed using the statistical software package R v.4.0. Data were assessed for normality, followed by parametric and nonparametric analyses as appropriate. Adherence was defined as engaging with at least one ASRT story per day. Adherence patterns were examined with logistic regression models, predicting adherence at immediate and delayed recall, in relation to participant group, demographics, assessment day, and schedule.

Caroline Skirrow, Marton Meszaros, Udeepa Meepegama, Raphael Lenain, Kathryn V Papp, Jack Weston, Emil Fristed

JMIR Aging 2022;5(3):e37090