Evaluation of unplanned reattendances to the pediatric emergency department - a five-year study

Liying Toh1,2, Jin Wee Lee3, Siok Hoon Ang4,5

  • 1Department of Pediatric Emergency Medicine, KK Women's and Children's Hospital (KKH), 100 Bukit Timah Road, Singapore, 229899, Singapore. toh.liying@singhealth.com.sg.

BMC Pediatrics
|October 15, 2024
PubMed

Insights

Unplanned reattendances (UR) in pediatric emergency departments are linked to young age, high patient acuity, and specific diagnoses like gastrointestinal and respiratory issues. Identifying these risk factors can help optimize care and resources for at-risk children.

Area of Science:

  • Pediatric Emergency Medicine
  • Healthcare Quality Improvement
  • Clinical Epidemiology

Background:

  • Unplanned reattendances (UR) are a key quality indicator in emergency departments (ED).
  • Understanding UR risk factors aids in resource allocation and patient counseling.
  • This study compares characteristics of children with and without UR in a pediatric ED.

Purpose of the Study:

  • To compare patient characteristics between children with and without unplanned reattendances (UR) in a pediatric ED.
  • To investigate healthcare delivery factors associated with UR rates.
  • To identify independent risk factors for UR in pediatric patients.

Main Methods:

  • Retrospective, single-center cohort study of patients under 18 years old (January 2018 - March 2023).
  • UR defined as revisit within 72 hours of the initial ED visit.
  • Logistic regression used to identify independent factors associated with UR, adjusting for covariates.

Main Results:

  • 4.5% of eligible children (24,733/544,699) had UR.
  • Independent risk factors for UR included young age (<3 years), high patient acuity (P2+), and evening/night attendance.
  • Gastrointestinal and respiratory diagnoses were significantly associated with increased UR rates.

Conclusions:

  • Identified independent risk factors for UR can guide resource allocation in pediatric EDs.
  • Further research is needed to explore targeted interventions for at-risk populations to reduce UR.
Abstract