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CoGNIT Automated Tablet Computer Cognitive Testing in Patients With Mild Cognitive Impairment: Feasibility Study
Blekinge Institute of Technology, Faculty of Engineering, Department of Health.ORCID iD: 0000-0002-9099-0348
Blekinge Institute of Technology, Faculty of Engineering, Department of Health.ORCID iD: 0000-0003-4312-2246
Blekinge Institute of Technology, Faculty of Engineering, Department of Health.ORCID iD: 0000-0001-9870-8477
2022 (English)In: JMIR Formative Research, E-ISSN 2561-326X, Vol. 6, no 3, article id e23589Article in journal (Refereed) Published
Abstract [en]

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. © 2022 JMIR Publications Inc.. All right reserved.

Place, publisher, year, edition, pages
JMIR Publications Inc. , 2022. Vol. 6, no 3, article id e23589
Keywords [en]
app, assessment, cognition, cognitive impairment, cognitive testing, diagnosis, feasibility, impairment, internet, software, testing
National Category
Neurology Geriatrics
Identifiers
URN: urn:nbn:se:bth-22772DOI: 10.2196/23589ISI: 000854073700026PubMedID: 35275064Scopus ID: 2-s2.0-85126435342OAI: oai:DiVA.org:bth-22772DiVA, id: diva2:1647193
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open access

Available from: 2022-03-25 Created: 2022-03-25 Last updated: 2022-09-30Bibliographically approved

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Behrens, AndersSanmartin Berglund, JohanAnderberg, Peter

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