JMIR mHealth and uHealth (Sep 2020)

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

  • 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

DOI
https://doi.org/10.2196/17963
Journal volume & issue
Vol. 8, no. 9
p. e17963

Abstract

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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.