Readmissions Following Hospitalization for Infection in Children With or Without Medical Complexity

Jessica L Markham1,2, Matt Hall1,3, Jennifer L Goldman1,2

  • 1Department of Pediatrics, Children's Mercy Kansas City and the University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.

Insights

Pediatric infection readmissions vary widely by infection type. Improving care for children with complex chronic conditions and specific respiratory infections could significantly reduce readmissions and save millions.

Area of Science:

  • Pediatric hospital medicine
  • Healthcare economics
  • Infectious disease epidemiology

Background:

  • Infection-related readmissions in children represent a significant healthcare burden.
  • Understanding readmission patterns is crucial for optimizing pediatric care and resource allocation.

Purpose of the Study:

  • To determine the prevalence and characteristics of infection-related readmissions in children.
  • To identify opportunities for reducing these readmissions and estimate potential cost savings.

Main Methods:

  • Retrospective analysis of 380,067 pediatric hospitalizations from the 2014 Nationwide Readmissions Database.
  • Comparison of 30-day, all-cause unplanned readmissions and costs across 22 infection categories.
  • Stratification of analyses by the presence or absence of a complex chronic condition (CCC).

Main Results:

  • The overall 30-day readmission rate was 4.9%, with significant variation across infections and by CCC status.
  • Potentially avoidable readmissions were estimated at 42.6% for children with a CCC and 54.7% for those without, with substantial cost savings.
  • Bronchiolitis, pneumonia, and upper respiratory tract infections showed the highest potential for readmission reduction and cost savings.

Conclusions:

  • Infection-related readmission rates in children are highly variable depending on the specific infection.
  • Future preventative strategies should focus on children with complex chronic conditions and specific diagnoses like respiratory illnesses to improve hospital resource utilization.
Abstract

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