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Record W2072414786 · doi:10.7326/m13-3016

Antibiotic Self-stewardship: Trainee-Led Structured Antibiotic Time-outs to Improve Antimicrobial Use

2014· article· en· W2072414786 on OpenAlex
Todd C. Lee, Charles Frenette, Dev Jayaraman, Laurence Green, Louise Pilote

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Internal Medicine · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineAntimicrobial stewardshipAntibioticsAntimicrobialAntibiotic StewardshipIntensive care medicineAntibiotic resistanceMicrobiology

Abstract

fetched live from OpenAlex

BACKGROUND: Antibiotic use is an important quality improvement target. Nearly 50% of antibiotic use is unnecessary or inappropriate. To combat overuse, the Centers for Disease Control and Prevention (CDC) proposed "time-outs" to reevaluate antibiotics. OBJECTIVE: To optimize antibiotic use through trainee-led time-outs. DESIGN: Before-after study. SETTING: Internal medicine (2 units, 46 beds) at a university hospital. PATIENTS: Inpatients (n = 679). INTERVENTION: From January 2012 until June 2013, while receiving monthly education on antimicrobial stewardship, resident physicians adjusted patients' antibiotic therapy through twice-weekly time-out audits using a structured electronic checklist. MEASUREMENTS: Antibiotic costs were standardized and compared in the year before and after the audits. Use was measured as World Health Organization defined daily doses (DDDs) per 1000 patient-days. Total antibiotic use and the use of moxifloxacin, carbapenems, antipseudomonal penicillins, and vancomycin were compared by using interrupted time series. Rates of nosocomial Clostridium difficile infection were compared by using incidence rate ratios. RESULTS: Total costs in the units decreased from $149,743CAD (January 2011 to January 2012) to $80,319 (January 2012 to January 2013), for a savings of $69,424 (46% reduction). Of the savings, $54,150 (78%) was related to carbapenems and $15,274 (22%) was due to other antibiotic classes. Adherence with the auditing process was 80%. In the time-series analyses, the only reliable and statistically significant change was a reduction in the rate of moxifloxicin use, by -1.9 DDDs per 1000 patient-days per month (95% CI, -3.8 to -0.02; P = 0.048). Rates of C. difficile infection decreased from 24.2 to 19.6 per 10,000 patient-days (incidence rate ratio, 0.8 [CI, 0.5 to 1.3]). LIMITATION: Other temporal factors may confound the findings. CONCLUSIONS: An antibiotic self-stewardship bundle to implement the CDC's suggested time-outs seems to have reduced overall costs and targeted antibiotic use. PRIMARY FUNDING SOURCE: None.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.267
Teacher spread0.254 · 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