Identification of antibiotic allergies in children using prescribing patterns in the electronic medical record

Georgia Koutsaplis1,2, Kailey Tang2, Renee Dimond3

  • 1Department of Pharmacy, The Royal Children's Hospital Melbourne, Parkville, Victoria, Australia.

Insights

Electronic medical record (EMR) patterns identified potential antibiotic allergies (AL) in one in five children. This novel approach aids in recognizing previously undiagnosed cases, improving pediatric allergy care.

Area of Science:

  • Pediatric Allergy and Immunology
  • Health Informatics
  • Clinical Pharmacology

Background:

  • A significant percentage of children (5%-75%) by age three have a documented antibiotic allergy (AL).
  • Low recognition of AL stems from limited clinician knowledge and time constraints.
  • Electronic medical record (EMR) prescription patterns offer a novel method for identifying potential AL.

Purpose of the Study:

  • To evaluate a novel approach for identifying pediatric antibiotic allergies (AL) using EMR prescription patterns.
  • To assess the prevalence of potential AL in children identified through EMR data.
  • To compare newly identified AL cases with previously documented allergies.

Main Methods:

  • Developed an EMR report to flag pediatric encounters with adrenaline or antihistamine administration within 48 hours of the last antibiotic dose.
  • Refined exclusion criteria through review of initial cases, excluding conditions like eczema/rash and specific medication timings.
  • Reviewed case notes for suspected AL in a cohort from 2016-2023.

Main Results:

  • The EMR report identified 342 children, with 67 (20%) showing possible/probable AL.
  • Of these, 29 (43%) were newly identified, with common implicated antimicrobials including ceftriaxone, flucloxacillin, and amoxicillin ± clavulanic acid.
  • Immediate-severe reactions occurred in 12% of cases (including anaphylaxis), while 82% were nonimmediate, nonsevere reactions.

Conclusions:

  • This study is the first to utilize EMR prescription patterns for identifying antibiotic allergies (AL) in children.
  • Approximately one in five children exhibited a potential AL through this EMR-based method.
  • This approach can supplement existing practices for allergy identification in pediatric populations.
Abstract

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