Identifying Primary Care Models of Dementia Care that Improve Quality of Life for People Living with Dementia and their Care Partners: An Environmental Scan
Bibliographic record
Abstract
Dementia is a growing concern in Canada, affecting peoples' health and raising the cost of care. Between June and October 2019, we conducted an environmental scan to identify primary care models, strategies, and resources for dementia care from 11 pre-selected countries and assess their impact on quality-of-life measures. Search strategies included a rapid scoping review, grey literature search, and discussions with stakeholders. Eighteen primary care-based models of dementia care were identified. Common factors include team-based care, centralized care/case coordination, individual treatment plans, a stepped-care approach, and support for care partners. Five provinces had released a dementia strategy. Evidence of positive outcomes supported primary care-based models for dementia care, although only one model demonstrated evidence of impact on quality of life. Although these findings are encouraging, further research is needed to identify primary care-based models of dementia care that demonstrably improve quality of life for people living with dementia and their care partners.
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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 | 0.015 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.015 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".