Optimizing osteoarthritis care through clinical and community partnership: Results of an exploratory trial
Bibliographic record
Abstract
Background/Purpose: To conduct an exploratory trial of a clinic-community care model (OA CARE) for managing osteoarthritis (OA). Design: Participants (n = 60) with symptomatic knee or hip OA and overweight/obesity were randomized to OA CARE or a usual care control group (UC). Participants in the OA CARE group received a 12-month medical membership to a local YMCA, which included a 12-week weight loss program and access to exercise programming, as well as referrals to rehabilitation, nutrition, sleep-related and psychological services. Participants' primary care clinicians were given a video-based summary of OA treatment guidelines. Feasibility metrics included engagement with the weight loss program and exercise resources. Outcomes were assessed at baseline, 6-months and 12-months. The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Outcomes were analyzed between groups across time points using general linear mixed models. Results: Eighty-seven percent of the OA CARE group participated in the weight loss program, with a mean attendance of 9.2 sessions; 57 % participated in an exercise class. At 6-months, there was a statistically significant between-group difference in change in WOMAC total scores, with the OA CARE group showing greater improvement (-11.0, 95 % Confidence Interval -20.1, -1.9). At 12-months, the between-group change in WOMAC score was not statistically significant, though there was a small difference in favor of OA CARE Group (-4.9, 95 % Confidence Interval -14.1, 4.3). Conclusion: Feasibility metrics were positive, but effects of OA CARE were modest, and a more intensive approach may be needed to enhance impacts.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".