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CoGNIT Automated Ta...
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Behrens, AndersBlekinge Tekniska Högskola,Institutionen för hälsa
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CoGNIT Automated Tablet Computer Cognitive Testing in Patients With Mild Cognitive Impairment : Feasibility Study
- Artikel/kapitelEngelska2022
Förlag, utgivningsår, omfång ...
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2022-03-11
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JMIR Publications Inc.2022
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electronicrdacarrier
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LIBRIS-ID:oai:DiVA.org:his-22275
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https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-22275URI
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https://doi.org/10.2196/23589DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22772URI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
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CC BY 4.0Correspondence Address: P. Anderberg; Department of Health, Blekinge Institute of Technology, Karlskrona, Valhallavägen 1, 37141, Sweden; email: pan@bth.se
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open access
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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.
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Sanmartin Berglund, Johan,ProfessorBlekinge Tekniska Högskola,Institutionen för hälsa(Swepub:bth)jbu
(författare)
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Anderberg, PeterBlekinge Tekniska Högskola,Institutionen för hälsa(Swepub:bth)pan
(författare)
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Blekinge Tekniska HögskolaInstitutionen för hälsa
(creator_code:org_t)
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Ingår i:JMIR Formative Research: JMIR Publications Inc.6:32561-326X
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