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Record W2557705926 · doi:10.1093/ofid/ofw172.1455

Surveillance of Emergency Department Antimicrobial Stewardship Practices in Sherwood Park, Alberta, Canada: A Closer Look at Respiratory Tract Infection Prescribing Patterns in Primary Care

2016· article· en· W2557705926 on OpenAlexaffabout
Rose Wang, Micheal Guirguis, Daris Klemmer

Bibliographic record

VenueOpen Forum Infectious Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicOtolaryngology and Infectious Diseases
Canadian institutionsAlberta Health ServicesAlberta HealthUniversity of Alberta
Fundersnot available
KeywordsAntimicrobial stewardshipMedicineEmergency departmentPrimary careRespiratory tract infectionsStewardship (theology)Emergency medicineAntimicrobialIntensive care medicineFamily medicineRespiratory systemNursingInternal medicineAntibioticsMicrobiologyAntibiotic resistance

Abstract

fetched live from OpenAlex

Background. Concerns exist regarding antimicrobial prescribing for respiratory tract infections (RTIs) due to adverse reactions, avoidable drug costs, and the development of antimicrobial resistance. In RTI specifically, inappropriate antibiotic treatment of viral infections and guideline-concordant treatment of RTI remain areas of concern. The purpose of this investigation was to inform administration, prescribers, pharmacists and other allied health workers on the current state of antimicrobial prescribing surrounding RTI, and to measure the impact of regular reporting on patient outcomes and appropriate antimicrobial prescribing. Methods. A retrospective examination of adult patients who presented to the Strathcona Community Hospital emergency department (Sherwood Park, Alberta, Canada) between July and October 2015 with RTI symptoms (e.g. cough, sore throat, dyspnea). The primary outcome was treatment concordance to existing national and local practice guidelines (e.g. CHEST, Bugs and Drugs, Towards Optimized Practice). Secondary measures included reason(s) for non-concordance, diagnostics measured, and classes and volume of antimicrobials prescribed. Results. A total of 282 charts were reviewed, 142 of which were included in the analysis; 91 (64%) were female and the median age was 37 years (range 18–97 years). Overall concordance to guidelines was 86%, driven by appropriate viral illness treatment (symptomatic relief only). Twenty admissions (14%) resulted in an antimicrobial being dispensed, of which only 3 (15%) were concordant with guidelines. The most popular antimicrobials prescribed were azithromycin (30%) and amoxicillin (20%). Conclusion. There is sufficient practice of providing only symptomatic relief for viral RTI; however, there still exists a gap between ideal use of antimicrobials in respiratory infection and current practice. 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)0.001
metaresearch head score (Gemma)0.003
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 score0.029
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0020.001
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 head0.018
GPT teacher head0.278
Teacher spread0.260 · 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".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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