Healthcare for the Aging Citizen and the Aging Citizen for Healthcare: Involving Patient Advisors in Elder-Friendly Care Improvement
Bibliographic record
Abstract
With an aging population and a healthcare system that is overly reliant on providing expensive and sometimes problematic hospital-based care for older Canadians, driving improvements that promote elder-friendly care has never been more critical. The Acute Care for Elders (ACE) Strategy at Toronto's Mount Sinai Hospital is the focus of a pan-Canadian collaborative delivered by the Canadian Foundation for Healthcare Improvement in partnership with the Canadian Frailty Network. The intent is to spread the ACE Strategy's elder-friendly models of care and practices to 18 participating healthcare delivery organizations. A key element of the ACE Collaborative is the inclusion of patient advisors as members of the 18 teams. This article considers the development of elder-friendly care models and practices, with lessons for patient advisors and organizations on the necessary skill-mix, as well as lessons for providers and managers on ways to more effectively engage patient advisors in health system improvement to better serve an aging population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".