Validity and Reliability Study of Online Cognitive Tracking Software (BEYNEX)
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IOS Press BV
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Background: Detecting cognitive impairment such as Alzheimer's disease early and tracking it over time is essential for individuals at risk of cognitive decline. Objective: This research aimed to validate the Beynex app's gamified assessment tests and the Beynex Performance Index (BPI) score, which monitor cognitive performance across seven categories, considering age and education data. Methods: Beynex test cut-off scores of participants (n = 91) were derived from the optimization function and compared to the Montreal Cognitive Assessment (MoCA) test. Validation and reliability analyses were carried out with data collected from an additional 214 participants. Results: Beynex categorization scores showed a moderate agreement with MoCA ratings (weighted Cohen's Kappa = 0.48; 95% CI: 0.38-0.60). Calculated Cronbach's Alpha indicates good internal consistency. Test-retest reliability analysis using a linear regression line fitted to results yielded R?2 of 0.65 with a 95% CI: 0.58, 0.71. Discussion: Beynex's ability to reliably detect and track cognitive impairment could significantly impact public health, early intervention strategies and improve patient outcomes. © 2024 - The authors. Published by IOS Press.
Açıklama
Anahtar Kelimeler
Alzheimer's Disease, Beynex, Cognitive Decline, Cognitive Impairment, Cognitive Screening Test, Computerized Cognitive Tracking, Dementia, Early Detection, Memory, Montreal Cognitive Assessment
Kaynak
Journal of Alzheimer's Disease Reports
WoS Q Değeri
Scopus Q Değeri
Q2
Cilt
8
Sayı
1
