Accepted for/Published in: JMIR Formative Research
Date Submitted: Apr 29, 2021
Date Accepted: Jan 30, 2022
CoGNIT Automated Tablet Computer Cognitive Testing in Patients with Mild Cognitive Impairment: A Feasibility Study
ABSTRACT
Background:
Early diagnosis of cognitive disorders is becoming increasingly important. Limited resources for specialist assessment and an increasing demographical challenge warrants the need for efficient methods for evaluation. In response, CoGNIT, a tablet app for automatic, standardized and efficient assessment of cognitive functions was developed. Included tests span the cognitive domains regarded important for assessment in a general memory clinic (Memory, language, psychomotor speed, executive function, attention, visuospatial ability, manual dexterity and symptoms of depression).
Objective:
The aim of this study was to assess the feasibility for automatic cognitive testing with CoGNIT in patients with symptoms of mild cognitive impairment (MCI).
Methods:
Patients older than 55 years with symptoms of mild cognitive impairment (n=36) were recruited at the research clinic at BTH, Karlskrona, Sweden. A research nurse administered the mini mental state examination (MMSE) and the CoGNIT app on a tablet computer. Technical and testing issues were documented.
Results:
All 36 patients completed the test batteries. One test, the Four-finger tapping test was performed incorrectly by 42% of the patients. Issues regarding clarity of instructions was found in two tests (Block design test and the one finger-tapping test). Minor software bugs were identified.
Conclusions:
The overall feasibility for automatic cognitive testing with the CoGNIT app in patients with symptoms of MCI was good. The study highlighted tests that did not function optimally. The Four-finger tapping test will be discarded, and minor improvements to the software will be added before further studies and deployment in the clinic.
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