Practice Changes to Improve Delivery of Surgical Antibiotic Prophylaxis
Bibliographic record
Abstract
Timely administration of appropriate antibiotics preoperatively can decrease the incidence of surgical site infection. We evaluated compliance with quality indicators in the delivery of antimicrobial surgical prophylaxis at The Ottawa Hospital and assessed the impact of a change to the hospital's Surgical Prophylaxis Policy. An audit in 2002 revealed improvement was necessary in the timing of preoperative doses, dosing for patients with a high body mass index, and intra-operative redosing. As a result, a multidisciplinary group was formed and a new surgical prophylaxis policy was approved. The policy included administration of preoperative doses by the anesthesiologist, and an automatic substitution for higher doses of antibiotics for select patients. This practice change resulted in significant improvements to the preoperative timing and dosing in subsequent audits. A mechanism to address intra-operative redosing will be implemented.
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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".