The Group Experience: Remodelling Outpatient Physiotherapy after Knee Replacement Surgery
Bibliographic record
Abstract
UNLABELLED: Purpose : To estimate responses to short-duration (4-6 weeks) group-based physiotherapy after knee replacement in terms of pain, function, and satisfaction. METHOD: The study used a prospective, observational design. A total of 169 participants (111 women, 58 men) were consecutively recruited to attend a twice-weekly post-operative knee replacement class focused on mobility, strength, balance, and functional retraining. Changes in pain, function, and satisfaction were measured using the P4 pain intensity measure, the Lower Extremity Functional Scale (LEFS), a timed stair test (TST), knee range of motion (ROM), the Patient Specific Functional Scale (PSFS), and the Client Satisfaction Questionnaire (CSQ-8). Using Stata version 12.1, the data were summarized descriptively, and change scores were calculated with 95% CIs. Results : On average, participants were discharged within 11 classes, having achieved their treatment goals. More than 77% exceeded the minimal detectable change at the 90% confidence level (MDC90) on the LEFS, TST, PSFS, and ROM assessments. The mean CSQ-8 score at discharge was 31.8 (SD 1.46); 66.7% recorded a perfect score of 32. Conclusions : Patients attending a short group-based outpatient knee replacement class demonstrated significant improvements in pain and lower extremity function and were highly satisfied with their physiotherapy treatment.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".