Improving Primary Health Care for Residents Living in Assisted Living: Evidence for Practice and Policy
Bibliographic record
Abstract
The fact that there is a large and growing number of older Canadians has generated a sense of urgency in improving seniors' access to health and long-term care services. Many provincial health care systems have engaged in a range of reforms to help older adults remain healthy and independent. Although many transformational changes have taken place across Canada to improve primary care, variations exist across provinces and territories in terms of older adults' access to primary health care. Opportunities exist for provinces to learn from successful reforms implemented in other Canadian jurisdictions. Residents of assisted living (AL) facilities are an ideal group to whom to target primary health care reforms, given the important role these facilities play in the care continuum and the complex needs of their residents. Allowing practitioners to practice to their full scope and assume greater responsibility within the health care system is a strategy adopted in some jurisdictions with success. This article reports on reforms that have been made to expand the scopes of practice of nurse practitioners and paramedics in some provinces, but also have the potential to improve access to primary health care for those living in AL across the entire country, including those living in smaller provinces such as New Brunswick.
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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 | 0.052 | 0.192 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".