Appropriateness of NSAID and Coxib prescribing for patients with osteoarthritis by primary care physicians in Ontario: results from the CANOAR study.
Bibliographic record
Abstract
OBJECTIVE: To assess the appropriateness of nonsteroidal anti-inflammatory drug (NSAID) use relative to recent osteoarthritis treatment guidelines from the Second Canadian Consensus Conference. STUDY DESIGN: Observational study of self-reported practice in a cohort of physicians from the Canadian Osteoarthritis Rx (CANOAR) study. SUBJECTS AND METHODS: Ontario primary care physicians were recruited from the top 10% of NSAID prescribers based on the number of NSAID prescriptions filled per year. Physicians were asked to record office visits on a 1-page data collection form from November 2000 to December 2001. RESULTS: Of 1400 physicians invited, 185 were enrolled and 119 registered office visits. Data were analyzed for the first visits of 5459 patients for whom a prescribed NSAID was identified, of whom 60% were female and 46% were older than 65 years. Coxibs were prescribed for 56% of study patients and were more commonly used by those with recent gastrointestinal (GI) events (85%), those receiving warfarin sodium therapy (79%), and those with congestive heart failure (68%). Coxib use increased with increasing global assessment of OA severity, but not patient age. Overall, 58% of prescriptions were considered appropriate given patient GI risk factors. CONCLUSIONS: Most coxib and NSAID prescriptions were consistent with the guidelines, but there was considerable underuse of coxibs in at-risk patients and some overuse of coxibs and of gastroprotective agents with NSAIDs in patients with no identified GI risk factors. Increased recognition of relationships between patient age and NSAID-related GI risk would likely promote more appropriate use of traditional NSAIDs, coxibs, and gastroprotective agents in osteoarthritis patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".