Canadian Academy of Geriatric Psychiatry Survey of Brief Cognitive Screening Instruments
Bibliographic record
Abstract
BACKGROUND: The use of brief cognitive screening instruments is essential in the assessment of dementia. The purpose of this study is to determine the frequency of use and perceived characteristics of cognitive screening instruments among Canadian psychogeriatric clinicians. METHODS: Members of the Canadian Academy of Geriatric Psychiatry (CAGP) and attendees to the 2010 Annual Scientific Meeting were asked to complete a computerized survey. This survey assessed the perceived characteristics and frequency of use of 14 instruments. RESULTS: The survey had a 55% response rate, with a total of 155 respondents. The most commonly used instruments are the Clock Drawing Test (CDT), Mini-Mental State Exam (MMSE), Montreal Cognitive Assessment (MoCA), and Delayed Word Recall. Effectiveness, ease of administration, and speed of administration were the perceived characteristics of instruments most correlated with frequency of use. CONCLUSIONS: Consistent with previous surveys, a small number of cognitive screening instruments are used by the majority of clinicians. Use of the CDT and the MMSE were comparable. To our knowledge, this is the first survey demonstrating that the MMSE is not the most commonly used tool, and other, newer instruments like the MoCA, are gaining prominence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".