Utilizing Clinical Decision Support in the Treatment of Urinary Tract Infection across a Large Pediatric Primary Care

David R Karas1,2, Shankar Upadhyayula1,2, April Love1

  • 1From the Akron Children's Hospital, Department of Pediatrics, Akron, Ohio.

PubMed

Insights

Clinical decision support tools improved antibiotic prescribing for pediatric urinary tract infections. This led to increased use of narrow-spectrum antibiotics, combating antimicrobial resistance.

Area of Science:

  • Pediatric infectious diseases
  • Antimicrobial stewardship
  • Clinical informatics

Background:

  • Urinary tract infections (UTIs) are common in children, often treated empirically.
  • Antimicrobial resistance is a growing global health threat, necessitating judicious antibiotic use.
  • Narrow-spectrum antibiotic selection is crucial for effective UTI management and resistance mitigation.

Purpose of the Study:

  • To evaluate the impact of a clinical decision support tool on antibiotic prescribing for pediatric UTIs.
  • To promote the use of guideline-recommended, narrow-spectrum first-line therapies.
  • To reduce reliance on antibiotics with high local resistance rates.

Main Methods:

  • An antimicrobial stewardship committee developed a UTI management guideline and standardized order set.
  • The order set provided clinical decision support for primary care providers.
  • Prescription data for UTIs were tracked using control charts from March 2018 to March 2020.

Main Results:

  • Cephalexin, the recommended first-line therapy, saw utilization increase from 27.5% to 74.8%.
  • Trimethoprim-sulfamethoxazole use decreased from 31.8% to 8.1% due to high resistance.
  • Prescribing patterns favoring recommended therapies were sustained post-intervention.

Conclusions:

  • Standardized order sets integrated with clinical decision support effectively improve first-line antimicrobial selection for pediatric UTIs.
  • This approach offers a sustainable method for enhancing antimicrobial stewardship in pediatric care.
  • The findings support the broader implementation of such tools to combat antimicrobial resistance.
Abstract

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