Randomised controlled trial of the effects of a self-management patient education program on overall quality of life and knee pain of older people with mild to moderate knee(s) osteoarthritis
Bibliographic record
Abstract
Background: Knee osteoarthritis (OA) is the most important chronic rheumatic disease affecting human beings. It is more common among the older population. The objective of OA treatment is to control the symptoms, such as pain, mobility problems and consequently, to improve overall quality of life. Although, self-management patient education programs, such as educational workshops and other learning activities are effective approaches in some chronic diseases, the evidence for arthritis is still inconclusive. The aim of this trial is to compare the effectiveness of an OA of the knee self-management education program with a control group, as determined by improvements in pain and quality of life. Methods: In this study, we will perform a two-group, randomized (1:1 ratio), controlled study with repeated-measures to examine the differences between the two groups over time. The research sample will be selected from the patients who are referred to a physiotherapy department with a diagnosed mild to moderate knee(s) OA, aging from 45 to 65 years. Conclusions: Positive findings of this trial will pave the road for new methods of cooperation between patients and healthcare providers. Also, patient education ensures that patients are well-informed about their own health and they could avoid any deterioration and disability due to bad practices. Finally, an increased understanding helps patients to make informed decisions about their healthcare avenues.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".