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. 2024 Jan 2:10:20552076231224246.
doi: 10.1177/20552076231224246. eCollection 2024 Jan-Dec.

"Guttmann Cognitest®," a digital solution for assessing cognitive performance in adult population: A feasibility and usability pilot study

Alba Roca-Ventura  1   2   3 , Javier Solana-Sánchez  1   2   4 , Eva Heras  5 , Maria Anglada  5 , Jan Missé  5 , Encarnació Ulloa  5 , Alberto García-Molina  1   2   4 , Eloy Opisso  1   2   4 , David Bartrés-Faz  1   3 , Alvaro Pascual-Leone  1   6   7   8 , Josep M Tormos-Muñoz  1   2   4 , Gabriele Cattaneo  1   2   4
Affiliations

"Guttmann Cognitest®," a digital solution for assessing cognitive performance in adult population: A feasibility and usability pilot study

Alba Roca-Ventura et al. Digit Health. .

Abstract

Background: As the world population continues to age, the prevalence of neurological diseases, such as dementia, poses a significant challenge to society. Detecting cognitive impairment at an early stage is vital in preserving and enhancing cognitive function. Digital tools, particularly mHealth, offer a practical solution for large-scale population screening and prompt follow-up assessments of cognitive function, thus overcoming economic and time limitations.

Objective: In this work, two versions of a digital solution called Guttmann Cognitest® were tested.

Methods: Two hundred and one middle-aged adults used the first version (Group A), while 132 used the second one, which included improved tutorials and practice screens (Group B). This second version was also validated in an older age group (Group C).

Results: This digital solution was found to be highly satisfactory in terms of usability and feasibility, with good acceptability among all three groups. Specifically for Group B, the system usability scale score obtained classifies the solution as the best imaginable in terms of usability.

Conclusions: Guttmann Cognitest® has been shown to be effective and well-perceived, with a high potential for sustained engagement in tracking changes in cognitive function.

Keywords: Computerized cognitive assessment; aging; cognitive decline; mHealth; usability.

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Conflict of interest statement

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Screenshot of the video tutorial and instructions for the circle tapping task. Users can navigate forward (Siguiente) and backward (Anterior) if needed.
Figure 2.
Figure 2.
Screenshot example of the visual span backward task.
Figure 3.
Figure 3.
Screenshot example of a free and cued image-number task.
Figure 4.
Figure 4.
Screenshot example of the logic sequences task.
Figure 5.
Figure 5.
Screenshot example of the two-target cancellation task.
Figure 6.
Figure 6.
Screenshot of the red target in the circle tapping task.
Figure 7.
Figure 7.
Screenshot example of the mental rotation task.
Figure 8.
Figure 8.
Detailed score of each question on system usability scale (SUS) in Groups A and B (different versions). The line shows the difference between both versions.
Figure 9.
Figure 9.
Detailed score of each question on system usability scale (SUS) in Groups A and C. The line shows the difference between both versions. On the right axis, the items in negative mean Group C scored better for those questions.
Figure 10.
Figure 10.
Grades, adjectives, acceptability, and NPS categories associated with raw SUS scores for each group. Note: Image adapted from Sauro.
Figure 11.
Figure 11.
Representation of the technical incidents that occurred during the assessment using the cognitest app perceived by the users and extracted from the last questions of the test from Groups A and B.
Figure 12.
Figure 12.
Difference between Group A and Group B in the understanding of all tasks and instructions.
See this image and copyright information in PMC

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