Improvements in Usability of MoCA XpressO, a Self‐administered Digital Cognitive Pre‐screening Tool
Bibliographic record
Abstract
Abstract Background XpressO from Montreal Cognitive Assessment (MoCA) is a self‐administered, digital cognitive screening test composed of memory and executive function tasks. Its purpose is to provide a brief pre‐screening of cognition in order to determine whether further cognitive testing is required. A previous validation study comparing the XpressO to the gold standard MoCA test revealed a strong predictive value. However, of the 118 participants recruited, 25% of the participants (n = 30) did not complete the XpressO test due to impaired comprehension (n = 10), requiring assistance (n = 4), skipped or uncompleted tasks (n = 11), and technology difficulties (n = 5). After a qualitative assessment of the users’ experience several improvements were envisioned and implemented in XpressO. This study aims to assess whether these improvements result in a higher completion rate in older adults. Method 15 older adults that were referred to the MoCA Clinic were recruited to participate in this qualitative study. Each performed the XpressO test while being observed. The observers noted when people experienced difficulty and fed this back to the usability engineer for improvements. As a next step, 30 participants will be recruited from the MoCA Clinic in Greenfield Park, Quebec. Eligibility criteria will include: ability to speak English or French, adults aged 50 years or over, at least 6 years of formal education, and completion of a recent MoCA test within 3 months prior to the start of the study. Participants will complete the XpressO followed by the User Experience Questionnaire (UEQ). The completion rate of XpressO version 1 and version 2 will be compared using a chi‐squared test. To assess whether completion of the XpressO is dependent on MoCA score, an independent t‐test will be used. Result Results from the 30 participants will be available by July 2024. Conclusion The MoCA XpressO is emerging as an important tool in cognitive pre‐screening and facilitating early detection of cognitive impairment. However, barriers to accessibility need to be addressed in order to optimize the useability of the XpressO for the older population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".