Canadian Stroke Best Practice Recommendations: Rehabilitation, Recovery, and Community Participation following Stroke. Part Two: Transitions and Community Participation Following Stroke
Bibliographic record
Abstract
The sixth update of the Canadian Stroke Best Practice Recommendations for Transitions and Community Participation following Stroke is a comprehensive set of evidence-based guidelines addressing issues faced by people following an acute stroke event. Establishing a coordinated and seamless system of care that supports progress achieved during the initial recovery stages throughout the transition to the community is more essential than ever as the medical complexity of people with stroke is also on the rise. All members of the health-care team engaged with people with stroke, their families, and caregivers are responsible for partnerships and collaborations to ensure successful transitions and return to the community following stroke. These guidelines reinforce the growing and changing body of research evidence available to guide ongoing screening, assessment, and management of individuals following stroke as they move from one phase and stage of care to the next without “falling through the cracks.” It also recognizes the growing role of family and informal caregivers in providing significant hours of support that disrupt their own lives and responsibilities and addresses their support and educational needs. According to Statistics Canada, in 2012, eight million Canadians provided care to family members or friends with a long-term health condition, disability, or problems associated with aging. These recommendations incorporate aspects that were previously in the rehabilitation module for the purposes of streamlining, and both modules should be reviewed in order to provide comprehensive care addressing recovery and community reintegration and participation. These recommendations cover topics related to support and education of people with stroke, families, and caregivers during transitions and community reintegration. They include interprofessional planning and communication, return to driving, vocational roles, leisure activities and relationships and sexuality, and transition to long-term 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 | 0.011 | 0.048 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.018 | 0.010 |
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".