People getting a grip on arthritis: A knowledge transfer strategy to empower patients with rheumatoid arthritis and osteoarthritis
Bibliographic record
Abstract
Objective: The purpose of this study was twofold. First, to help people with arthritis become aware of and utilize Rheumatoid Arthritis (RA) and Osteoarthritis (OA) Clinical Practice Guidelines (CPGs) as they relate to self-management strategies. Second, to evaluate the impact of specific Knowledge Translation (KT) activities on CPG uptake. More specifically, investigators were interested in: (1) participant acquisition of knowledge, skills, and self-efficacy regarding the uptake of CPGs; (2) participant intention and actual use of CPGs; (3) whether participants trained to become educators shared new CPG knowledge with other people who have RA or OA; and (4) the effect of press media in promoting CPGs to the general public. Methods: Workshop 1 (WS1) was delivered by a multidisciplinary faculty. Selected participants from WS1 were then trained to become educators of pertinent CPGs and deliver the same content to a second group of patients in Workshop 2 (WS2). Questionnaires to measure the four aforementioned interests in KT were administered pre- and post- workshop as well as three months post-workshop. Results: Acquisition of new knowledge by workshop participants ( n = 49) was found for Transcutaneous Electrical Nerve Stimulation (TENS), Tai Chi, and insoles and footwear, although not for weight management, aerobic walking, and strengthening exercises. Immediately post-workshop, participants in WS1 ( M = 7.96, SD = 1.89) and WS2 ( M = 7.16, SD = 1.46) had comparatively similar self-efficacy levels regarding symptom management. No statistically-significant changes were found for online general public participants. Conclusion: An intensive evidence-based educational programme focused on training CPG educators appears to be an effective method of KT for patients with RA and OA. Similar KT activities would be employed again but with greater attention to use of media strategies.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".