Organized Stroke Rehabilitation in Canada: Redefining Our Objectives
Bibliographic record
Abstract
INTRODUCTION: Evidence suggests that patients who receive care in organized stroke units experience better outcomes compared to patients who receive care in general rehabilitation units. As such, the Canadian Stroke Strategy has consistently included provision of "organized" stroke rehabilitation in their best practice recommendations for stroke care. However, recent research in Ontario suggests that development of organized stroke rehabilitation units has not led to the better patient outcomes that had been expected. METHODS: In this article, we review the evidence in favour of organized stroke rehabilitation units, assess the state of organized rehabilitation in Canada (as exemplified by care in Ontario), and discuss potential solutions for better application of best evidence and guideline recommendations for organized stroke care in Canada. RESULTS: The most up-to-date evidence in Canada suggests that best practice recommendations around organized stroke care are currently not adhered to well. However, further exploration suggests that some of the recommendations themselves may not be attainable as currently defined. CONCLUSIONS: It appears that organized stroke care is not available to many Canadians, and better application of recommendations is necessary. Still, re-evaluation of current recommendations may also be necessary to ensure that they fit with the reality of providing care in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".