Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study

BackgroundDementia is a major and growing health problem, and early diagnosis is key to its management. ObjectiveWith the ultimate goal of providing a monitoring tool that could be used to support the screening for cognitive decline, this study aims to develop a supervised, digitized ver...

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Bibliographic Details
Main Authors: Lunardini, Francesca, Luperto, Matteo, Romeo, Marta, Basilico, Nicola, Daniele, Katia, Azzolino, Domenico, Damanti, Sarah, Abbate, Carlo, Mari, Daniela, Cesari, Matteo, Borghese, Nunzio Alberto, Ferrante, Simona
Format: Article
Language:English
Published: JMIR Publications 2020-09-01
Series:JMIR mHealth and uHealth
Online Access:http://mhealth.jmir.org/2020/9/e17963/
Description
Summary:BackgroundDementia is a major and growing health problem, and early diagnosis is key to its management. ObjectiveWith the ultimate goal of providing a monitoring tool that could be used to support the screening for cognitive decline, this study aims to develop a supervised, digitized version of 2 neuropsychological tests: Trail Making Test and Bells Test. The system consists of a web app that implements a tablet-based version of the tests and consists of an innovative vocal assistant that acts as the virtual supervisor for the execution of the test. A replay functionality is added to allow inspection of the user’s performance after test completion. MethodsTo deploy the system in a nonsupervised environment, extensive functional testing of the platform was conducted, together with a validation of the tablet-based tests. Such validation had the two-fold aim of evaluating system usability and acceptance and investigating the concurrent validity of computerized assessment compared with the corresponding paper-and-pencil counterparts. ResultsThe results obtained from 83 older adults showed high system acceptance, despite the patients’ low familiarity with technology. The system software was successfully validated. A concurrent validation of the system reported good ability of the digitized tests to retain the same predictive power of the corresponding paper-based tests. ConclusionsAltogether, the positive results pave the way for the deployment of the system to a nonsupervised environment, thus representing a potential efficacious and ecological solution to support clinicians in the identification of early signs of cognitive decline.
ISSN:2291-5222