Online Disease Management Training for Older Adults With Osteoarthritis: A Randomized Controlled Trial
Bibliographic record
Abstract
INTRODUCTION: Using online methods in health education is an effective method that provides individual services to older adults with limited access to health services and allows for low-cost and continuous communication. METHODS: The study was completed with 52 older adults diagnosed with osteoarthritis, including 26 intervention and 26 control participants. For data collection, a Patient Information Form, Visual Analogue Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, Self-Efficacy Scale in Arthritis, World Health Organization Quality of Life Instrument-Older Adults Module and a Telephone Counselling Follow-up Form were used. Individuals in the intervention group were provided with online training for the first 4 weeks and telephone counselling for the following 4 weeks. Scales were applied to both groups. RESULTS: The scales were applied to both groups at the first, second and last measurements. It was determined that there was a significant difference between the total pain and functional status scores of the individuals in the intervention and control groups at the second and last measurement (p < 0.05), while the average scores of the intervention group were lower control group. The total self-efficacy score and quality of life total score of the intervention group were statistically significantly higher than the total score of the control group (p < 0.05). CONCLUSIONS: As a result of the research, it was found that online education and telephone counselling given to elderly individuals with osteoarthritis were effective in reducing pain severity and improving functional status, self-efficacy and quality of life. TRIAL REGISTRATION: The trial was registered at ClinicalTrial.gov (NCT04816474/2021-08-10/https://register. CLINICALTRIALS: gov/).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".