4.5 Article

A Brief Digital Cognitive Assessment for Detection of Cognitive Impairment in Cuban Older Adults

期刊

JOURNAL OF ALZHEIMERS DISEASE
卷 79, 期 1, 页码 85-94

出版社

IOS PRESS
DOI: 10.3233/JAD-200985

关键词

Mild cognitive impairment; primary care; tablet-based cognitive screening

资金

  1. Global Brain Health Institute
  2. U.S. Alzheimer's Association
  3. Alzheimer's Society, UK [GBHI ALZ UK-19-585014]

向作者/读者索取更多资源

The study demonstrated the accuracy and validity of the Brain Health Assessment tool in detecting cognitive impairment in a Cuban population, showing excellent performance characteristics in diagnosing cognitive impairments including dementia and MCI. The BHA outperformed the Montreal Cognitive Assessment in all diagnostic groups, supporting the potential application of digital cognitive assessment tools for older adults in LMICs.
Background: Rapid technological advances offer a possibility to develop cost-effective digital cognitive assessment tools. However, it is unclear whether these measures are suitable for application in populations from Low and middle-income countries (LMIC). Objective: To examine the accuracy and validity of the Brain Health Assessment (BHA) in detecting cognitive impairment in a Cuban population. Methods: In this cross-sectional study, 146 participants (cognitively healthy = 53, mild cognitive impairment (MCI) = 46, dementia = 47) were recruited at primary care and tertiary clinics. The main outcomes included: accuracy of the BHA and the Montreal Cognitive Assessment (MoCA) in discriminating between controls and cognitively impaired groups (MCI and dementia) and correlations between the BHA subtests of memory, executive functions, and visuospatial skills and criterion-standard paper-and-pencil tests in the same domains. Results: The BHA had an AUC of 0.95 (95% CI: 0.91-0.98) in discriminating between controls and cognitively impaired groups (MCI and dementia, combined) with 0.91 sensitivity at 0.85 specificity. In discriminating between control and MCI groups only, the BHA tests had an AUC of 0.94 (95% CI: 0.90-0.99) with 0.71 sensitivity at 0.85 specificity. Performance was superior to the MoCA across all diagnostic groups. Concurrent and discriminant validity analyses showed moderate to strong correlations between the BHA tests and standard paper-and-pencil measures in the same domain and weak correlations with standard measures in unrelated domains. Conclusion: The BHA has excellent performance characteristics in detecting cognitive impairment including dementia and MCI in a Hispanic population in Cuba and outperformed the MoCA. These results support potential application of digital cognitive assessment for older adults in LMIC.

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