043 Development and Implementation of National Standards For Spinal Cord Injury: A Partnership Between Accreditation Canada and the Rick Hansen Institute
Bibliographic record
Abstract
Background Recent studies in Canada have identified variation in care delivery for acute and rehabilitation healthcare centres treating patients with spinal cord injury (SCI). The development of standards through an accreditation process ensures patients receive standards that are deemed important for their health condition. Accreditation Canada provides healthcare organisations with a rigorous and comprehensive accreditation process, and fosters quality improvement based on evidence-based standards and external peer review. Context To develop Accreditation Canada standards for SCI services across the continuum of care and provide an accountability framework to accelerate the implementation of best practices and improve quality of care for people living with SCI. Description of Best Practice Through a systematic review of literature and best evidence, standards for SCI care were defined for acute care management and rehabilitation. These standards were developed with input from an Advisory Committee with Canadian SCI experts and a web-based national consultation. The standards were piloted in 4 Canadian centres and received positive feedback. Suggestions are being integrated into the standards and in the next five years, the Rick Hansen Institute will work with centres in its network to accredit 50% or 16 centres using these standards. Lessons for Guideline Developers, Adaptors, Implementers, and/or Users Through providing a framework to evaluate quality and safety, Accreditation Canada and Rick Hansen Institute have an opportunity to improve the dissemination and implementation of best practices in SCI care that could serve as a model internationally.
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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 | 0.209 | 0.196 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.009 | 0.012 |
| Research integrity | 0.007 | 0.012 |
| 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".