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Reliability and Validity of a Home-Based Self-Administered Computerized Test of Learning and Memory Using Speech
R Scott Mackin1,2, Emma Rhodes2,3, Philip S Insel1
1Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, USA.
The ReVeRe word list recall test (RWLRT) shows promise for remote cognitive assessment. While initial reliability varied, later sessions demonstrated fair-to-good consistency for tracking cognitive changes.
Area of Science:
- Neuroscience
- Gerontology
- Cognitive Psychology
Background:
- Early detection of Alzheimer's disease (AD) is crucial for timely intervention and management.
- Remote and unsupervised cognitive testing offers scalable solutions for large-scale assessments.
- Speech recognition technology presents novel opportunities for cognitive assessment tools.
Purpose of the Study:
- To evaluate the reliability and validity of the ReVeRe word list recall test (RWLRT).
- To assess the performance of the RWLRT when administered remotely and unsupervised.
- To determine the utility of RWLRT for tracking cognitive changes in older adults.
Main Methods:
- A prospective cohort study involving 249 cognitively intact older adults.
- Comparison of clinician-administered neuropsychological assessments with remotely administered RWLRT over six months.
- Six time-points of unsupervised cognitive testing using speech recognition technology.
Main Results:
- The RWLRT demonstrated acceptable validity for assessing cognition.
- Reliability coefficients for RWLRT varied, with poor initial consistency (time 1-2) but fair-to-good reliability in subsequent sessions.
- Observed practice effects with repeated RWLRT administration, as anticipated.
Conclusions:
- Unsupervised, speech-recognition-based cognitive tests like RWLRT hold significant potential for early AD detection.
- RWLRT can be a valuable tool for the long-term monitoring of cognitive decline in community-dwelling older adults.
- Further refinement may enhance the reliability of RWLRT for longitudinal cognitive tracking.
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