Access to new cardiovascular therapies in Canadian hospitals: a national survey of the formulary process.
Bibliographic record
Abstract
BACKGROUND: Access to new therapies in hospitals depends upon both clinical trial evidence and local Pharmacy and Therapeutics (P&T) committee approval. The process of formulary evaluation by P&T committees is not well-understood. OBJECTIVES: To describe the formulary decision-making process in Canadian hospitals for cardiovascular medications recently made available on the Canadian market. METHODS: Postal survey of hospital pharmacy directors in all Canadian hospitals with more than 50 beds. Target drugs included abciximab, enoxaparin, dalteparin, clopidogrel, eptifibatide and tirofiban. RESULTS: Of 428 surveys mailed, responses were received from 164 P&T committees representing 350 hospitals for an effective response rate of 82%. While physicians make up the largest proportion of committee membership, pharmacists play an influential role. Information most commonly cited as influencing formulary decisions included published clinical trials (97%), regional guidelines (90%), pharmacoeconomic data (84%), decisions at peer hospitals (73%) and local opinion leaders (60%). However, this information was often not required on formulary applications. Approval timelines varied widely for target medications but there were no regional, hospital or P&T committee characteristics that were independent predictors of early formulary application or approval. CONCLUSIONS: There is wide variability in the time taken for Canadian institutions to adopt new cardiovascular therapies, which is not explained by regional, hospital or P&T committee characteristics. Standardization of the formulary application and evaluation processes, including sharing of information amongst institutions, would lead to broader understanding of the applicable issues, more objectivity and improved efficiency.
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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 | 0.002 |
| 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".