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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Sep 21, 2024
Date Accepted: Mar 12, 2025

The final, peer-reviewed published version of this preprint can be found here:

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

Howard C, Johnson A, Peedicail J, Ng M

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

J Med Internet Res 2025;27:e66735

DOI: 10.2196/66735

PMID: 40536945

PMCID: 12204636

The Rapid Online Cognitive Assessment: An Open Label Study Evaluating Detection of Neurocognitive Disorder

  • Calvin Howard; 
  • Amy Johnson; 
  • Joseph Peedicail; 
  • Marcus Ng

ABSTRACT

Background:

Paper-based screening examinations are well-validated but minimally scalable. If a DCA replicate paper-based screening, it would improve scalability while benefiting from their extensive validation.

Objective:

To develop a remote cognitive screen with high sensitivity.

Methods:

We developed and evaluated the Rapid Online Cognitive Assessment (RoCA) against gold-standard paper-based tests in patients with a range of cognitive integrity (n = 46). Patient perception of the RoCA was also evaluated with post-examination survey.

Results:

The RoCA classifies patients similarly to gold standard paper-based tests, with a receiver operating characteristic area under the curve of 0.81 (95%CI 0.67-0.91, p < 0.001). It achieves a sensitivity of 0.94 (95%CI 0.80-1.0, p < 0.001). This was robust to multiple control analyses. 83% of patient respondents reported the RoCA as highly intuitive, with 95% perceiving it as adding value to their care.

Conclusions:

The RoCA may act as a simple and highly scalable cognitive screen. Clinical Trial: NA


 Citation

Please cite as:

Howard C, Johnson A, Peedicail J, Ng M

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

J Med Internet Res 2025;27:e66735

DOI: 10.2196/66735

PMID: 40536945

PMCID: 12204636

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