Effects of the Self-Help Program on Pain, Fatigue, Difficulty in Physical Activity, Joint Stiffness, Flexibility of the Joints in Arthritis Patients
Bibliographic record
Abstract
Purpose: The purpose of this study was to determine if osteoarthritis patients would benefit in terms of pain, fatigue, difficulty with physical activity, joint stiffness, and flexibility of the joints from a structured self-help program. Method: This self-help program was carried out 2-3 hours once a week for 6 weeks in 2005-2006, and evaluated in one group pretest-posttest pre-experimental design. The subjects of this study who were diagnosed osteoarthritis were recruited at two different Community Health Centers in Kangwon. The subjects who agreed with the purpose of this study and participated both pretest and post-test were 55 patients. Mean age is 63.48 (9.48) years, mean duration of disease is 7.95 (7.66) years. The self-help program was consisted of weekly health contract, exercise, health education, group discussion, group counseling, and recreation. At every meeting, researcher and trained public health nurse evaluated the program, and prepared the next program. The measurement tools were pain rating scale (0-10), fatigue rating scale (0-10), Korean WOMAC (Western Ontario and McMaster University Osteoarthritis) Index, ruler, and goniometer. Results: At the completion of 6 weeks of self-help program, the subjects reported significantly less pain and difficulty with physical activity and more flexibility in both shoulder and knee joints compared to pretest. Conclusion: The self-help program would be helpful on pain, physical activity, and joint flexibility for arthritis patients.
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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 | 0.000 | 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) | 0.003 | 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".