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Clinical Manifestations.

Kevin Kipkoech1, Wambui Karanja1, Cynthia Isabel Smith1

  • 1Brain and Mind Institute, Aga Khan University, Nairobi, Nairobi, Kenya.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
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This summary is machine-generated.

Digital cognitive tests show promise for Alzheimer's research in resource-limited settings. While adaptable, technical issues and language-switching cognitive load need improvement before widespread use.

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Area of Science:

  • Neuroscience
  • Gerontology
  • Health Informatics

Background:

  • Digital cognitive assessments offer scalable solutions for Alzheimer's Disease and Related Dementia research in resource-limited settings.
  • Assessing the usability of digital versus traditional paper-based tests is crucial for widespread adoption.
  • This study evaluated digital and paper-based cognitive assessments in healthy, multilingual older adults in Kenya.

Purpose of the Study:

  • To compare the feasibility of digital cognitive assessments (Tablet-based Cognitive Assessment Tool [TabCAT]) against traditional paper-based tests.
  • To evaluate usability metrics including error rates, language-switching, task completion, and learning curves.
  • To assess the suitability of culturally and linguistically adapted digital tools for cognitive testing in diverse populations.

Main Methods:

  • 135 Kenyan adults (mean age 55.2 years, 64.4% female) completed both digital and paper-based cognitive tests in English and Swahili.
  • Feasibility was measured by error types, language-switching frequency, task completion rates, and learning curve analysis.
  • Participants had varying education levels (median 11 years).

Main Results:

  • Digital assessments had a 12.9% error rate (10.6% technical), while paper tests had an 8.2% error rate (4.2% participant-related).
  • Language-switching was significantly lower in digital tests (5-12%) compared to paper tests (up to 88%).
  • High completion rates were observed for most digital tasks (90-100%), with positive learning curves indicating user engagement.

Conclusions:

  • Culturally adapted digital cognitive tools are feasible, user-friendly, and scalable for resource-limited settings.
  • Addressing technical challenges and the cognitive load of language-switching in digital assessments is necessary for broader implementation.
  • Digital tools show potential for adaptable and scalable cognitive testing in diverse populations.