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Record W4311746989 · doi:10.1093/ofid/ofac492.1402

1772. Evaluating the Impact of a Pilot Structured Antimicrobial Stewardship Prospective Audit and Feedback Program in Emergency General Surgery in a Community Hospital

2022· article· en· W4311746989 on OpenAlexaff
Rosane Nisenbaum, Melanie E. Tsang, Bradley J. Langford, Michael J. Wan, Mark Downing, April Chan

Bibliographic record

VenueOpen Forum Infectious Diseases · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsMedicineAntimicrobial stewardshipPiperacillin/tazobactamEmergency medicineLogistic regressionTazobactamEmergency departmentPopulationInternal medicineIntensive care medicinePiperacillinAntibioticsAntibiotic resistance

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.073
GPT teacher head0.449
Teacher spread0.376 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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