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Antibiotic Prescribing in Outpatient Children: A Cohort From a Clinical Data Warehouse

  • Leslie Grammatico-Guillon(corresponding author)
    ,
  • Kimberly Shea
    ,
  • S. Reza Jafarzadeh
    ,
  • Ingrid Camelo
    ,
  • Zoha Maakaroun-Vermesse
    ,
  • Marisol Figueira
*Corresponding author for this work
  • Université de Tours
    ,
  • Boston University
    ,
  • Service of Internal Medicine and Infectious Diseases
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Aim. To characterize antibiotic (ab) prescriptions in children. Methods. Evaluation of outpatient ab prescriptions in a 3-year cohort of children in primary care using a data warehouse (Massachusetts Health Disparities Repository) by comorbid conditions, demographics, and clinical indication. Results. A total of 15 208 children with nearly 120 000 outpatient visits were included. About one third had a comorbid condition (most commonly asthma). Among the 30 000 ab prescriptions, first-line penicillins and macrolides represented the most frequent ab (70%), followed by cephalosporins (16%). Comorbid children had 54.3 ab prescriptions/100 child-years versus 38.8 in children without comorbidity; ab prescription was higher in urinary tract infections (>60% of episodes), otitis, lower respiratory tract infections (>50%), especially in comorbid children and children under 2 year old. Ab prescriptions were significantly associated with younger age, emergency room visit, comorbid children, and acute infections. Discussion. A clinical data warehouse could help in designing appropriate antimicrobial stewardship programs and represent a potential assessment tool.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 681-690 (10 pages)

Journal (Volume, Issue Number)

Clinical Pediatrics (Volume 58, Issue 6)

Publication milestones

  • Published - 06/01/2019

Publication status

Published - 06/01/2019

ISSN

0009-9228

Publication IDs

  • Scopus: 85063339093
  • PubMed: 30884973

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