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Updated: Apr 16, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Psychometric Properties of a Decisional Capacity Screening Tool for Individuals Contemplating Participation in
Jennifer Burgher Seaman1, Lauren Terhorst2,3, Amanda Gentry3
1University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA.
Background:
With the growing population of individuals affected by Alzheimer's disease (AD) and related disorders, there is a pressing demand for research on late-life cognitive disorders. However, this population's high risk for decisional incapacity necessitates evaluation of capacity to consent to research participation, adding cost and complexity to the research process. The University of California, San Diego Brief Assessment of Capacity to Consent (UBACC) was initially validated in a sample of persons with schizophrenia and healthy controls.
Objective:
To assess the psychometric properties of the UBACC when used in a sample of individuals contemplating participation in AD research.
Methods:
The UBACC was administered to a convenience sample (n = 132) consisting of individuals with mild to moderate cognitive impairment (n = 52), their study partners (n = 52), and healthy older adults control subjects (n = 30), as part of a broader study to evaluate perceived burden of research participation. Reliability tests, correlational analyses, and exploratory factor analytic methods were used to examine the psychometric properties of the instrument.
Results:
UBACC scores were significantly associated with both global cognition (rs= 0.564, p < 0.001) and verbal fluency (rs = 0.511, p < 0.001), indicating concurrent validity with related constructs. The resulting factor structure differed from that reported by the developers in their initial testing. Items clustered almost entirely on one factor; items reflecting the construct of understanding accounted for 32.12% of total variance, with no evidence for distinct reasoning or appreciation scales.
Conclusion:
The UBACC shows promise when used to screen for decisional capacity among those considering participation in AD research.
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