THE QUEBEC ALZHEIMER’S PLAN: IMPACT ON DEMENTIA MANAGEMENT IN PRIMARY CARE CLINICS—CANADA
Bibliographic record
Abstract
The Alzheimer Plan, focusing on primary health care as the hub of networked care for patients with dementia, is being implemented in 40 selected Family Medicine Groups in Quebec, Canada. Our objectives were to: 1) assess the impact of the plan on detection, diagnosis, treatment and quality of dementia care management, 2) describe the implementation strategies for successful large scale-up. We used a mixed methods design: a quantitative pre/post-Alzheimer Plan study and a qualitative implementation study. We conducted a chart review, survey, interviews and focus groups. The quality of dementia care management score increased significantly by 8%. Key elements for successful large-scale implementation were: leadership at all levels, existence of a champion family physician, ongoing training of clinicians, simple clinical tools, interdisciplinary care. Additional results are forthcoming. Further research across Canadian provinces is being conducted to identify the organizational and clinical characteristics associated with higher quality of 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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".