Prevalence and correlates of potentially undetected dementia among residents of institutional care facilities in Ontario, Canada, 2009–2011
Bibliographic record
Abstract
OBJECTIVES: This study aims to determine the prevalence of potentially undetected dementia among institutional care facility residents in Ontario, Canada, and to identify factors associated with undetection. METHODS: We utilized a population-based secondary data analysis approach, pertaining to data from the Canadian Institute for Health Information's Continuing Care Reporting System, 2009-2011. Potentially undetected dementia was defined as having severely impaired cognitive function and requiring extensive assistance on activity of daily living (ADL) but no records of dementia diagnoses. Cognitive function was measured by the Cognitive Performance Scale (CPS), 0 (intact) to 6 (very severe impairment), and ADL by a hierarchy scale, 0 (independent) to 6 (total dependence). RESULTS: Of the 242,957 residents who had no records of dementia diagnoses, 11.6% (n = 28,078) had a CPS score ≥4 (severe impairment or higher) and ADL score ≥3 (required extensive assistance or more). Data from 11,614 demented residents with corresponding CPS and ADL scores were used for comparison. Residents without dementia diagnosis were younger (77 vs. 84 years), more likely to have never married (20% vs. 6%), and have longer admission (4 vs. 2.8 years). The most significant factors for no diagnoses were never married (adjusted odds ratio = 2.1, 95% confidence interval [CI] = 1.91-2.29), admitted to hospital-based facilities (adjusted odds ratio = 1.58, 95% CI = 1.48-1.69), presence of schizophrenia (adjusted odds ratio = 1.43, 95% CI = 1.22-1.69), depression (adjusted odds ratio = 1.23, 95% CI = 1.16-1.29), and diabetes mellitus (adjusted odds ratio = 1.32, 95% CI = 1.26-1.40). CONCLUSIONS: A large number of residents who had poor cognitive function and inadequate ADL ability did not have dementia diagnoses on record. Social and comorbid conditions were contributing factors to potentially undetected dementia.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".