TY  - JOUR
AU  - Behrens, Anders
AU  - Berglund, Johan Sanmartin
AU  - Anderberg, Peter
PY  - 2022
DA  - 2022/3/11
TI  - CoGNIT Automated Tablet Computer Cognitive Testing in Patients With Mild Cognitive Impairment: Feasibility Study
JO  - JMIR Form Res
SP  - e23589
VL  - 6
IS  - 3
KW  - internet
KW  - cognitive testing
KW  - software
KW  - testing
KW  - impairment
KW  - cognition
KW  - feasibility
KW  - diagnosis
KW  - app
KW  - assessment
KW  - cognitive impairment
AB  - 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 of evaluation. In response, CoGNIT, a tablet app for automatic, standardized, and efficient assessment of cognitive function, was developed. Included tests span the cognitive domains regarded as 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 of automatic cognitive testing with CoGNIT in older patients with symptoms of mild cognitive impairment (MCI). Methods: Patients older than 55 years with symptoms of MCI (n=36) were recruited at the research clinic at the Blekinge Institute of Technology (BTH), Karlskrona, Sweden. A research nurse administered the Mini-Mental State Exam (MMSE) and the CoGNIT app on a tablet computer. Technical and testing issues were documented. Results: The test battery was completed by all 36 patients. One test, the four-finger–tapping test, was performed incorrectly by 42% of the patients. Issues regarding clarity of instructions were found in 2 tests (block design test and the one finger-tapping test). Minor software bugs were identified. Conclusions: The overall feasibility of 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. 
SN  - 2561-326X
UR  - https://formative.jmir.org/2022/3/e23589
UR  - https://doi.org/10.2196/23589
UR  - http://www.ncbi.nlm.nih.gov/pubmed/35275064
DO  - 10.2196/23589
ID  - info:doi/10.2196/23589
ER  -