Conceptual Framework for an Episode of Rehabilitative Care After Surgical Repair of Hip Fracture
Bibliographic record
Abstract
Researchers face a challenge when evaluating the effectiveness of rehabilitation after a surgical procedure for hip fracture. Reported outcomes of rehabilitation will vary depending on the end point of the episode of care. Evaluation at an inappropriate end point might suggest a lack of effectiveness leading to the underuse of rehabilitation that could improve outcomes. The purpose of this article is to describe a conceptual framework for a continuum-care episode of rehabilitation after a surgical procedure for hip fracture. Definitions are proposed for the index event, end point, and service scope of the episode. Challenges in defining the episode of care and operationalizing the episode, and next steps for researchers are discussed. The episode described is intended to apply to all patients eligible for entry to rehabilitation after hip fracture and includes most functional recovery end points. This framework will provide a guide for rehabilitation researchers when designing and interpreting evaluations of the effectiveness of rehabilitation after hip fracture. Evaluation of all potential care episodes facilitates transparency in reporting of outcomes, enabling researchers to determine the true effectiveness of rehabilitation after a surgical procedure for hip fracture.
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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 | 0.020 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".