Effectiveness of an Integrated Multidisciplinary Osteoarthritis Outpatient Program versus Outpatient Clinic as Usual: A Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: Osteoarthritis (OA) is one of the leading causes of pain and disability. Given the constraint in the provision of care, there is a need to develop and assess effectiveness of new treatment models. The objective was to compare satisfaction with and effectiveness of a new integrated multidisciplinary outpatient program with usual care in an outpatient clinic for patients with OA. METHODS: Patients with clinical OA referred to a rheumatology outpatient clinic were randomized to a 3.5-h multidisciplinary group-based educational program followed by individual consultations, or to usual care. The primary outcome was satisfaction with the health service evaluated on a numerical rating scale (0 = extremely unsatisfied, 10 = extremely satisfied) after 4 months. Secondary outcomes included health-related quality of life measures. RESULTS: Of 391 patients, 86.4% (n = 338) were women, and mean age was 61.2 (SD 8.0) years. At 4 months, patients who received integrated multidisciplinary care were significantly more satisfied with the health service compared with controls, with a mean difference of -1.05 (95% CI -1.68 to -0.43, p < 0.001). Among secondary outcomes, only self-efficacy with other symptoms scale (10-100) improved significantly in the multidisciplinary group compared with controls at 4 months (3.59, 95% CI 0.69-6.5, p = 0.02). At 12 months, the Australian/Canadian Hand Osteoarthritis Index pain (0-10) and fatigue scores (0-10) were slightly worse in the multidisciplinary group with differences of 0.38 (95% CI 0.06-0.71, p = 0.02) and 0.55 (95% CI 0.02-1.07, p = 0.04), respectively. CONCLUSION: Patients receiving an integrated multidisciplinary care model were more satisfied with healthcare than those receiving usual care, whereas there were no clinically relevant improvements in health outcomes.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".