Abstract
INTRODUCTION: Tablet-based Cognitive Assessment Tool (TabCAT) Match, a digital neuropsychological test, was compared to measures of executive function from the National Alzheimer's Coordinating Center's Uniform Dataset (UDS). METHODS: TabCAT Match data were available for 1792 clinically diverse older adults. Receiver operating characteristic curves and analyses of covariance examined classification of Clinical Dementia Rating Scale (CDR) stages based on Match and UDS executive function scores. Sensitivity analyses were conducted across education level and testing language groups. RESULTS: All measures had utility in differentiating CDR stages, with Match displaying the highest classification accuracy (AUC = 0.862) for cognitively unimpaired (CDR 0, clinically normal) versus cognitively impaired (CDR ≥ 0.5, mild cognitive impairment/dementia). The advantages of Match were especially apparent in non-English tested groups relative to UDS tests. DISCUSSION: The identification of efficient neuropsychological measures, such as TabCAT Match, that are easily administered, sensitive to impairment, and appropriate across demographic groups is critical for optimizing diagnosis and clinical monitoring.