Pediatric Bed Capacity, Bed Strain, and Load Imbalance During the 2022 Respiratory Viral Season

Nadir Ijaz1,2, Constantin Radu3, Craig Rothenberg4

  • 1National Clinician Scholars Program, Yale University School of Medicine, New Haven, Connecticut.

JAMA Network Open
|September 26, 2025
PubMed

Insights

Pediatric bed strain and load imbalance were common during the 2022 respiratory viral season. However, declines in pediatric bed capacity since 2010 were not associated with these issues.

Area of Science:

  • Pediatric healthcare capacity
  • Hospital resource management
  • Public health surveillance

Background:

  • Anecdotal evidence suggested a link between pediatric bed capacity changes and hospital strain during the 2022 respiratory viral surge.
  • Understanding pediatric bed strain and load imbalance is crucial for healthcare preparedness.

Purpose of the Study:

  • To determine the prevalence of pediatric bed strain and load imbalance across US hospital referral regions (HRRs).
  • To evaluate the association between changes in pediatric bed capacity from 2010-2021 and bed strain/load imbalance during the 2022 respiratory viral season.

Main Methods:

  • Cross-sectional analysis of weekly pediatric bed strain and load imbalance data (September 2022 - January 2023).
  • Longitudinal analysis of pediatric bed capacity data (2010-2021).
  • Utilized US Department of Health and Human Services and American Hospital Association data for 254 HRRs.

Main Results:

  • A mean of 44.1% of HRRs experienced pediatric bed strain weekly.
  • A mean of 66.7% of HRRs experienced pediatric load imbalance weekly.
  • Pediatric beds per 10,000 children decreased by 12.0% from 2010 to 2021.
  • No association found between prior bed capacity changes and 2022 strain or imbalance.

Conclusions:

  • Pediatric bed strain and load imbalance were prevalent during the 2022 respiratory viral season.
  • Declines in pediatric bed capacity were not associated with the observed strain or imbalance.
  • Regionalization strategies may be key to preventing future capacity overload.
Abstract

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