1772. Evaluating the Impact of a Pilot Structured Antimicrobial Stewardship Prospective Audit and Feedback Program in Emergency General Surgery in a Community Hospital
Bibliographic record
Abstract
Abstract Background The benefits of prospective audit and feedback (PAF) are established in critical care settings but not in the surgical population. We piloted once-weekly structured face-to-face PAF with the Acute Care Surgery (ACS) Service surgeon(s) and compared outcomes to usual care which comprised of ad-hoc PAF on targeted antimicrobials once or twice weekly with recommendations made to ACS surgeon(s) using written or verbal methods. Methods Interrupted time series segmented negative binomial regression analysis was used to evaluate the change in the primary outcome of antimicrobial usage measured in Days of Therapy/1000 patient days (DOT/1000-PD) for all systemic and targeted antimicrobials ordered by the ACS team. The structured PAF period was from August 1, 2017- April 30, 2019 while the ad-hoc PAF period was from May 1, 2019-January 31, 2021. Targeted antimicrobials included 3rd generation cephalosporins, piperacillin/tazobactam, carbapenems and clindamycin. Secondary outcomes included C. difficile infections, length of stay and readmission within 30 days. The first two secondary outcomes were analyzed using a logistic regression model while a negative binomial regression model was used to evaluate readmission within 30 days. Results There were 776 ACS patients in the structured PAF period with 783 patients in the ad-hoc PAF period. = No significant changes in level or trend of the primary outcome of DOT/1000-PD in both periods was found for all and targeted antimicrobials. However, there was a trend to small reduction in DOT/1000-PD of 0.9% per month (rate ratio 1.0, CI 0.99-1.02) for all antimicrobials and 0.3% per month (rate ratio 1.0, CI 0.98-1.03) for targeted antimicrobials in the ad-hoc PAF period. Similarly, there were no significant differences with respect to any of the secondary outcomes. There was a trend of 10% increase in length of stay (rate ratio 1.07, CI 0.98-1.17) and 13% reduction in 30-day readmission (OR 0.87, CI 0.56-1.35) in the ad-hoc PAF period. Rates by Time Using Negative Binomial Models for All and Targeted Antimicrobials Conclusion Structured PAF showed similar clinical outcomes to ad-hoc PAF for the Acute Care Surgery Service at our institution. Other antimicrobial stewardship interventions can be explored to better support judicious antimicrobial use in General Surgery. Disclosures All Authors: No reported disclosures.
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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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".