Dementia in Canadian primary health care: The potential role of case management
Bibliographic record
Abstract
Dementia is a chronic disease characterized by progressive memory loss and behavioural disturbance.It has become a major concern for healthcare professionals due to the increasing number of people affected, usually presenting with more than one chronic condition.1 According to the World Health Organization (WHO), up to eight million new cases of dementia are detected world-wide annually.2 Today in Canada, half a million people are living with dementia and this number is expected to rise two and a half times over the next 40 years due to an aging population.3 The WHO has declared dementia to be one of the most serious health challenges facing our society due to its pronounced consequences on patients, their families and society. 2 Various elements contribute to this quandary including patient-caregiver dyad factors (e.g., fear of stigmatization) and healthcare system issues (e.g., fragmentation of healthcare services).In this article we discuss Case Management (CM) designed for patients with dementia, and types of CM pertinent to primary care.
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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 | 0.007 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".