Designed Educational Interventional Program and Knee Pain Prevention behaviors in women with knee osteoarthritis in Yasouj, Iran
Bibliographic record
Abstract
Aims: This study will be done to evaluate the effectiveness of a designed educational intervention program in adopting knee prevention behaviors in women with knee osteoarthritis in Yasouj, Iran. Method and Materials: This research is a mix method study that has 3 phases. The 1st stage is an observational checklist regarding risky behaviors of common daily activities will be provided based on literature review and interview with related specialists. In 2end stages of doing risky behaviors will be determined through interviews with women suffering from knee osteoarthritis. The third stage of this study will be a semi experimental study in which the designed educational intervention program will be tested. This study will be conducted on eligible 100 women with knee osteoarthritis referred to the orthopedic clinic of Yasouj city in south of Iran. These women will be randomly divided into intervention and control groups, each one with 50 participants. Just intervention group will be educated with intervention program The data collection instruments will be demographic profile questionnaire, Visual Analog Scale (VAS), self-efficacy questionnaire, Western Ontario and McMaster Universities osteoarthritis Index (WOMAC) questionnaire, muscle strength test and a checklist of protective behaviors. Data will be collected before and six months after the intervention of both groups and analyzed by software version 24 SPSS. Conclusion: This study will determine that the designed educational program could be effective in improving the knee protective behaviors and consequently may be resulted in increased knee muscle strength, decreased knee pain and manage the problems caused by knee 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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".