Direct Oral Anticoagulants in the Real World: Insights into Canadian Health Care Providers’ Understanding of Medication Dosing and Use
Bibliographic record
Abstract
Background: Direct-acting oral anticoagulant (DOAC) use is increasing in Canada. This study evaluated nurse, staff physician, and resident physician understanding of DOAC dosing and administration. Methods: An electronic survey was distributed to health care providers (HCPs) at a hospital in Ontario, Canada. The questions discussed oral anticoagulant indications, dose adjustments, storage and administration, and counselling. Results: A total of 52 responses were received: 3 from nurses, 1 from a nurse practitioner, 21 from staff physicians (Hematology, Thrombosis Medicine, General Internal Medicine, Neurology), 25 from resident physicians, and 2 unspecified respondents. Twenty-four respondents (46%) felt comfortable or very comfortable prescribing DOACs. Only 15 (29%) knew that dabigatran should not be exposed to moisture and 13 (25%) knew that higher doses of rivaroxaban should be taken with food. Conclusion: HCP understanding of DOACs is variable. Though they express comfort with DOACs, their self-reported knowledge of dosing, administration, and patient counselling is incomplete.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".