Autor: |
Thomas A. Bayer, Yanchen Liu, Igor Vishnepolskiy, Day Baez, Lisbeth Sanders, Rebecca Williams, Jeff Sanders, Anthony Serpico, Stefan Gravenstein |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
BMC Digital Health, Vol 2, Iss 1, Pp 1-7 (2024) |
Druh dokumentu: |
article |
ISSN: |
2731-684X |
DOI: |
10.1186/s44247-024-00123-7 |
Popis: |
Abstract Background Mobile device-based cognitive screening has the potential to overcome the limitations in diagnostic precision and efficiency that characterize conventional pen and paper cognitive screening. Several mobile device-based cognitive testing platforms have demonstrated usability, but the usability of take-home mobile device-based cognitive screening in typical adult primary care patients requires further investigation. Methods This study set out to test the usability of a prototype mobile device-based cognitive screening test in older adult primary care patients across a range of cognitive performance. Participants completed the St. Louis University Mental Status Examination (SLUMS) and then used a study-supplied mobile device application at home for 5 days. The application presented 7 modules lasting approximately 15 min. Participants completed the System Usability Scale (SUS) after using the application. Results A total of 51 individuals participated, with a median (IQR) age of 81 (74–85) years. Cognitive impairment (SLUMS score |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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