Patient, Provider, and Combined Interventions for Managing Osteoarthritis in Primary Care
Bibliographic record
Abstract
BACKGROUND: A single-site study showed that a combined patient and provider intervention improved outcomes for patients with knee osteoarthritis, but it did not assess separate effects of the interventions. OBJECTIVE: To examine whether patient-based, provider-based, and patient-provider interventions improve osteoarthritis outcomes. DESIGN: Cluster randomized trial with assignment to patient, provider, and patient-provider interventions or usual care. (ClinicalTrials.gov: NCT01435109). SETTING: 10 Duke University Health System community-based primary care clinics. PARTICIPANTS: 537 outpatients with symptomatic hip or knee osteoarthritis. INTERVENTION: The telephone-based patient intervention focused on weight management, physical activity, and cognitive behavioral pain management. The provider intervention involved electronic delivery of patient-specific osteoarthritis treatment recommendations to providers. MEASUREMENTS: The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) total score at 12 months. Secondary outcomes were objective physical function (Short Physical Performance Battery) and depressive symptoms (Patient Health Questionnaire). Linear mixed models assessed the difference in improvement among groups. RESULTS: No difference was observed in WOMAC score changes from baseline to 12 months in the patient (-1.5 [95% CI, -5.1 to 2.0]; P = 0.40), provider (2.5 [CI, -0.9 to 5.9]; P = 0.152), or patient-provider (-0.7 [CI, -4.2 to 2.8]; P = 0.69) intervention groups compared with usual care. All groups had improvements in WOMAC scores at 12 months (range, -3.7 to -7.7). In addition, no differences were seen in objective physical function or depressive symptoms at 12 months in any of the intervention groups compared with usual care. LIMITATIONS: The study involved 1 health care network. Data on provider referrals were not collected. CONCLUSION: Contrary to a previous study of a combined patient and provider intervention for osteoarthritis in a Department of Veterans Affairs medical center, this study found no statistically significant improvements in the osteoarthritis intervention groups compared with usual care. PRIMARY FUNDING SOURCE: National Institute of Arthritis and Musculoskeletal and Skin Diseases.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".