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Record W3000057293 · doi:10.1542/hpeds.2019-0230

Antibiotic Use for Inpatient Bronchiolitis: Did National Guidelines Impact Practice at a Pediatric Hospital?

2020· article· en· W3000057293 on OpenAlexaffabout
Alison Lopez, Rana Aslanova, Natalie Bridger, Roger Chafe

Bibliographic record

VenueHospital Pediatrics · 2020
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineBronchiolitisCohortAntibioticsMedical prescriptionRetrospective cohort studyPediatricsCohort studyRespiratory tract infectionsEmergency medicineLower respiratory tract infectionIntensive care medicineInternal medicineRespiratory system

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Bronchiolitis is a common lower respiratory tract infection that affects infants and young children. Because of variability in physician practice, inpatient management varies among pediatricians. In 2014, the Canadian Pediatric Society published national guidelines aimed at standardizing the inpatient management of this illness, which included recommending against the need for antibiotics for most patients. The study objective was to evaluate antibiotic prescription and supportive investigations for inpatient management of bronchiolitis before and after the publication of national guidelines. METHODS: This study was a single-center retrospective chart review of inpatients with bronchiolitis. We included healthy children 1 to 24 months of age who were admitted from November 2011 to October 2016. Those admitted before December 2014 were analyzed in the preguidelines cohort; the remaining, in the postguidelines cohort. The main outcome was antibiotic prescription. The secondary outcome was the frequency of chest radiographs, nasopharyngeal swabs, and blood cultures. RESULTS: A total of 131 patients were included in the first cohort; 71, in the second cohort. The rates of antibiotic initiation were almost equal in both cohorts (∼44%; P = .98). More antibiotics were discontinued during hospitalization in the second cohort compared with the first cohort (10% vs 20%; P = .001). Significantly fewer patients were discharged with antibiotics in the second cohort (31% vs 16%; P = .02). CONCLUSIONS: Our study revealed a reduction in antibiotic use after the release of national guidelines, illustrating that antibiotic prescribing practices can change. However, there is still a pressing need for local initiatives to continue to reduce the unnecessary use of antibiotics within the pediatric setting.

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 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)0.000
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.406
Teacher spread0.314 · 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 teacher head, not a consensus.

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

Citations7
Published2020
Admission routes2
Has abstractyes

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