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Decreasing differences in first-line therapy for respiratory infections in urgent cares, results of a multi-institutional quality improvement collaborative

Published online by Cambridge University Press:  16 October 2025

Rana E. El Feghaly
Affiliation:
Department of Pediatrics, Children’s Mercy Kansas City, Kansas City, MO, USA Department of Pediatrics, University of Missouri Kansas City, Kansas City, MO, USA
Brian R. Lee
Affiliation:
Department of Pediatrics, Children’s Mercy Kansas City, Kansas City, MO, USA Department of Pediatrics, University of Missouri Kansas City, Kansas City, MO, USA
Matthew P Kronman
Affiliation:
Department of Pediatrics, University of Washington School of Medicine, Seattle Children’s Hospital, Seattle, WA, USA
Adam L. Hersh
Affiliation:
Division of Infectious Diseases, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
Victoria Parente
Affiliation:
Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
Rana F. Hamdy
Affiliation:
Division of Infectious Diseases, Children’s National Hospital, Washington, DC, USA Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
Luis E. Sainz
Affiliation:
Department of Pediatrics, Children’s Mercy Kansas City, Kansas City, MO, USA
Amanda Nedved*
Affiliation:
Department of Pediatrics, Children’s Mercy Kansas City, Kansas City, MO, USA Department of Pediatrics, University of Missouri Kansas City, Kansas City, MO, USA
*
Corresponding author: Amanda Nedved; Email: anedved@cmh.edu

Abstract

Objective:

We aimed to decrease the difference in first-line therapy (ΔFLT) for common acute respiratory infections (ARI) in pediatric urgent care clinics (PUCs) in relation to race, ethnicity, language, and insurance using quality improvement (QI) methodology.

Design:

Retrospective cohort study of 13-month pre-intervention (April 2022–April 2023) and 17-month (May 2023–September 2024) intervention data collection.

Setting:

92 PUC sites from 9 organizations spanning 22 states.

Patients:

Encounters of patients 6 months to 18 years of age with ARI diagnoses.

Methods:

Sites created local multidisciplinary QI teams, cause-and-effect analyses, driver diagrams, and used Plan-Do-Study-Act (PDSA) cycles. We defined FLT per national guidelines. We measured ΔFLT between socioeconomic groups as our primary outcome. Balancing measure was overall rate of FLT. Logistic regression models evaluated the impact education-only PDSAs had on ΔFLT compared to PDSAs that used education plus another intervention modality (eg clinical decision support).

Results:

We included 895,604 encounters. Despite our QI efforts, we saw no change in ΔFLT between Spanish and English-speaking patients (3.1%), Hispanic and non-Hispanic patients (1.6%), or commercial and government-insured patients (1.6%). We saw an increase in ΔFLT between Black and White patients from 3.6% to 5.8%. We observed fluctuations in overall rates of FLT over time. The impact of PDSA cycle types was variable.

Conclusions:

Despite local interventions to reduce differences in prescribing, we noted a widening of the ΔFLT by race. More work is needed to understand causes of these disparities and develop effective interventions that improve equitable antibiotic prescribing.

Information

Type
Original Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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