“I feel I'm leading the charge.” Experiences of a virtual physiotherapist-guided knee health program for persons at-risk of osteoarthritis after a sport-related knee injury
Bibliographic record
Abstract
Describe participants’ perspectives about the feasibility of a virtual, physiotherapist-guided knee health program for people at risk of post-traumatic osteoarthritis after a sport-related knee injury. Qualitative description study nested within a quasi-experimental study evaluating the feasibility of the Stop OsteoARthritis (SOAR) with persons with sport-related knee injuries. SOAR includes: 1) one-time Knee Camp (group education, 1:1 exercise/activity goal-setting); 2) weekly home-based exercise/activity program with tracking, and; 3) weekly 1:1 physiotherapy-guided action-planning. Upon program completion, semi-structured 1:1 interviews were conducted with participants identified by convenience and maximum variation sampling (age, gender, program satisfaction). Open-ended questions elicited participants’ experiences with the program. Content analysis was conducted. 12 women and 4 men [median (min-max) age; 30 (19–46) years] were interviewed. Four categories depicted participants' experiences: 1) ‘SOAR satisfies an unmet need’ portrayed the perceived relevance and need for a program that promotes knowledge about knee health and self-efficacy for independent exercise behaviour, 2) ‘Regaining control of knee health’ described how SOAR empowered participants and fostered a sense of ‘leading the charge’ to their own knee health, 3) ‘Social support encourages exercise participation’ highlighted that weekly physiotherapy interactions provided accountability for achieving exercise goals, and that relating to other participants was inspirational, 4) ‘Program refinements and barriers’ suggested enhancements to meet the needs of future participants. Participants report the SOAR program to be acceptable, relevant, and empowering. Improved knowledge about one's knee health, self-efficacy, autonomy, and social support may encourage exercise adherence and self-management of future knee OA risk.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".