Applying Clinical Practice Guidelines to the Complex Patient: Insights for Practice and Policy from Stroke Rehabilitation
Bibliographic record
Abstract
In Canada, policy makers are working to align services with the Stroke Rehabilitation Best Practice Recommendations (SRBPR). Complicating the application of clinical practice guidelines (CPGs) is the fact that most strokes occur in the context of other diagnoses. We sought to understand clinicians' use of the CPGs and ascertain how much guidance regarding multimorbidity was available in the SRBPR. Study results indicated that using the recommendations was problematic due to a perceived lack of guidance regarding comorbidities and multimorbidity, and concerns regarding the applicability to "real-life patients." Comorbidities were mentioned in less than half of the recommendations, but no explicit guidance was provided regarding the management of comorbidities. Given the prevalence of multimorbidity in stroke rehabilitation, this clinical context is ideal for development and testing of CPGs that account for multimorbidity and other complexity factors. Results may also suggest limitations to using CPGs in the development of activity-based funding models.
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 | 0.003 | 0.125 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".