Chronic disease management programme in people with severe knee osteoarthritis: efficacy and moderators of response
Bibliographic record
Abstract
AIMS: To establish (1) the efficacy of a six-week chronic disease management programme for knee osteoarthritis and (2) whether previous physiotherapy or being wait listed for surgery moderated the outcome of the programme. DESIGN: A pretest, posttest design with multivariate statistical modelling. PARTICIPANTS: One hundred and twenty-one people with severe osteoarthritis who were waiting, or being considered, for surgery. METHODS AND MEASURES: Western Ontario Osteoarthritis Index (WOMAC) scores, arthritis self-efficacy, distress and a patient-rated global indicator of response were collected at baseline, 6 and 12 weeks. History of previous physiotherapy, waiting list status, symptom duration, New Zealand disease severity score, radiographic changes and self-perceived need for surgery were recorded at baseline. RESULTS: There were moderate improvements in most outcomes; WOMAC function decreased by 0.29, WOMAC pain by 0.27, pain self-efficacy by 4.4, function self-efficacy by 5.6 and visual analogue scale (VAS) distress by 0.2 (effect sizes ranging from 0.3 to 0.5 at 12 weeks). Waiting list status was a significant modifier for function, pain, distress and self-related outcomes. Participants on the waiting list for surgery experienced lesser improvements. Previous physiotherapy was associated with greater improvements in WOMAC scores at six weeks, but not at 12 weeks. CONCLUSION: The chronic disease management programme could be considered for people with severe knee osteoarthritis, but should be given prior to referral and placement on the waiting list for surgery. Previous physiotherapy should not preclude people from participating in a chronic disease management programme.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".