Race, ethnicity, and language association with Undertriage in Pediatric emergency medicine

Deena Berkowitz1, Nichole L McCollum1, James M Chamberlain1

  • 1Division of Emergency Medicine, Children's National Hospital, Washington, DC, United States of America; The George Washington University School of Medicine and Health Sciences, Washington, DC, United States of America.

Insights

Pediatric undertriage is more common in White, Hispanic, and non-English speaking patients, contrasting with previous research on emergency care disparities. Further investigation into these complex factors is crucial.

Area of Science:

  • Emergency Medicine
  • Health Disparities Research
  • Pediatric Trauma Care

Background:

  • Undertriage in emergency medicine delays critical care.
  • Disparities in pediatric undertriage are not well-studied.
  • Understanding these disparities is vital for equitable patient outcomes.

Purpose of the Study:

  • To investigate if minoritized populations experience higher rates of undertriage in pediatric emergency care.
  • To identify specific demographic factors associated with undertriage.

Main Methods:

  • A cohort study analyzed pediatric patient visits at Level 1 Pediatric Trauma and regional referral centers.
  • Clinically important undertriage was defined using a modified Delphi approach (ESI scores 4-5 with specific interventions).
  • Exposures included patient race, ethnicity, and caregiver language preference.

Main Results:

  • Non-Hispanic White patients showed higher odds of undertriage compared to Non-Hispanic Black patients (aOR 2.1).
  • Hispanic patients also had increased odds of undertriage versus Non-Hispanic Black patients (aOR 1.7).
  • Patients/caregivers preferring Spanish or other non-English languages faced higher undertriage odds (aORs 1.6 and 1.5).

Conclusions:

  • Findings challenge prior research indicating Black patients are at highest risk for undertriage.
  • Results underscore the complex and multifaceted nature of healthcare disparities.
  • Further research is essential for a nuanced understanding of inequitable care drivers.
Abstract

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