The feasibility and effectiveness of internet-based rehabilitation for patients with knee osteoarthritis
Bibliographic record
Abstract
BACKGROUND: Internet-based rehabilitation can ease the progression of chronic diseases. There had been studies on internet-based rehabilitation of knee osteoarthritis (OA), but them were conducted at home and ignored the potential benefits in the community setting. This study will explore the feasibility and effectiveness of internet-based rehabilitation accompanies wearable devices in the community setting for the patients with knee OA. METHODS: An assessor-blinded randomized controlled feasibility trial will be performed to study the feasibility and effectiveness of internet-based rehabilitation program for the patients with knee OA in the community setting. Forty participants with knee OA will be recruited and randomly allocated into internet-based rehabilitation group (IRG) or control group (CG). The interventions of IRG will be performed in the community setting via web-based platform and wearable devices. The outcome measures will be conducted at baseline, and post-intervention 6 weeks, 12 weeks during the study. The feasibility will be tested by the proportion of participants who will complete the internet-based rehabilitation program within 12 weeks in IRG as well as the compliance and satisfaction. Additionally, the effectiveness of internet-based rehabilitation will be assessed by the Western Ontario and McMaster Universities Osteoarthritis Index, 11-point Numerical Rating Scale and Short Form-36 quality-of-life questionnaire. CONCLUSION: The internet-based rehabilitation program and community-based interventions is feasible and efficacy to ameliorate the osteoarthritic pain and promote the physical function and quality of life for the patients with knee OA in the community setting. TRIAL REGISTRATION NUMBER: The study was registered in the clinical trial registry ChiCTR2000033397.
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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".