A path to early diagnosis of mild cognitive impairment and dementia: validity and reliability of the myMemCheck® self-administered screening tool
Bibliographic record
Abstract
BACKGROUND: Barriers to the early detection of mild cognitive impairment (MCI) and dementia can delay diagnosis and treatment. myMemCheck® was developed as a rapid free cognitive self-assessment tool that can be completed at home to identify older adults that would benefit from a more comprehensive cognitive evaluation. OBJECTIVE: Two prospective cross-sectional studies were conducted to examine the psychometric properties and clinical utility of myMemCheck®. METHODS: In Study 1, participants were independent living residents referred to an outpatient memory clinic (N = 59); older adults in the community and post-acute nursing home residents (N = 357) comprised Study 2. RESULTS: Psychometric analyses were performed on cognitive and psychological testing data, including myMemCheck®. myMemCheck® evidenced adequate reliability and strong construct validity. Receiver operating characteristic analysis evidenced an optional myMemCheck® cut score for identifying older adults at risk for MCI or dementia. myMemCheck® explained 25% of cognitive status beyond basic patient information. CONCLUSIONS: myMemCheck® may help fast-track the diagnostic process, facilitate appropriate referrals for cognitive and neuropsychological evaluation, reduce assessment burden in health care and prevent negative outcomes associated with undetected cognitive impairment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".