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Record W1976399547 · doi:10.5770/cgj.16.81

Canadian Academy of Geriatric Psychiatry Survey of Brief Cognitive Screening Instruments

2013· article· en· W1976399547 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Geriatrics Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsCentre for Addiction and Mental HealthUniversity of TorontoUniversity of Calgary
FundersCentre for Addiction and Mental Health
KeywordsMedicineGeriatric psychiatryPsychiatryCognitive impairmentFamily medicineGerontologyCognition

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.028
GPT teacher head0.301
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it