An audit of a Multistep Quality Improvement Initiative to Enhance Patient Safety After Sugammadex Administration to Female Patients Using Hormonal Contraceptives
Bibliographic record
Abstract
( Can J Anesth/J Can Anesth . 2025;72:508–510. doi: 10.1007/s12630-025-02917-3) This article outlines a quality improvement initiative aimed at enhancing patient safety for women who receive sugammadex (SUG), a neuromuscular blockade reversal agent for aminosteroid muscle relaxants. SUG can interfere with the effectiveness of hormonal birth control, posing a risk of unintended pregnancy for those taking these medications. Despite this, patient counseling on the interaction is often inconsistent, especially postoperatively, when patient recall may be compromised. Concern also exists regarding anesthesiology team knowledge on the topic. To address these issues, the authors implemented a multistep strategy to improve staff awareness and patient education.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".