A scalable 12-week exercise and education programme reduces symptoms and improves function and wellbeing in people with hip and knee osteoarthritis
Bibliographic record
Abstract
Introduction Osteoarthritis is a chronic musculoskeletal condition that impacts more than 300 million people worldwide, with 43 million people experiencing moderate to severe disability due to the disease. This service evaluation provides the results from a tailored blended model of care on joint health, physical function, and personal wellbeing. Methods 1,593 adult participants with osteoarthritis completed the Nuffield Health Joint Pain Programme between February 2019 and May 2022. The 12-week programme included two 40-min exercise sessions per week. All exercise sessions were conducted face-to-face and were followed by 20 min of education to provide information and advice on managing osteoarthritis. Results The 12-week joint pain programme significantly improved Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) global scores (Week 0: 37.5 [17.2]; Week 12: 24.0 [16.6]; p < 0.001), as well as subscales for pain (Week 0: 7.6 [3.7]; Week 12: 4.9 [3.7]; p < 0.001), function (Week 0: 26.0 [13.0]; Week 12: 16.3 [12.4]; p < 0.001), and stiffness (Week 0: 3.9 [1.6]; Week 12: 2.8 [1.7]; p < 0.001). Significant improvements in health-related outcomes including systolic and diastolic blood pressure (Week 0: 139 [18] mmHg; Week 12: 134 [17] mmHg, and Week 0: 82 [11] mmHg; Week 12: 79 [19] mmHg; both p < 0.001), body mass index (Week 0: 29.0 [4.5] kg/m2; Week 12: 28.6 [4.4] kg/m2; p < 0.001), waist to hip ratio (Week 0: 0.92 [0.23]; Week 12: 0.90 [0.11], p < 0.01) and timed up and go (Week 0: 10.8 s [2.9]; Week 12: 8.1 s [2.0]; p < 0.001) were also observed. On completion of the joint pain programme, participants also reported significant improvements in all assessed aspects of self-reported wellbeing (all p < 0.001). Discussion With reductions in physical symptoms of osteoarthritis and improvements in personal wellbeing, the joint pain programme delivered by personal trainers in a gym-setting offers a nationally scalable, non-pharmacological treatment pathway for osteoarthritis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".