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

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.