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Pediatric emergency department recidivism: demographic characteristics and diagnostic predictors

Karen LeDuc1, Heidi Rosebrook, Michael Rannie

  • 1The Children's Hospital/Denver, Denver, Colorado 80210, USA. LeDuc.Karen@tchden.org

Insights

Emergency department overcrowding is worsened by patient recidivism. Age, race, and diagnosis predict return visits, especially in pediatric patients with specific diseases, guiding targeted interventions.

Area of Science:

  • Emergency Medicine
  • Health Services Research
  • Pediatric Healthcare

Background:

  • Emergency department (ED) overcrowding is a persistent national crisis.
  • Increased patient volume and illness severity exacerbate ED crowding.
  • Recidivists, a small patient group, account for a disproportionate number of ED visits.

Purpose of the Study:

  • To examine demographic and diagnostic characteristics of ED recidivists.
  • To clarify the national issue of frequent ED utilization by specific patient groups.
  • To identify predictors of return visits to the emergency department.

Main Methods:

  • Utilized hospital decision support systems to identify readmission indicators (3-month and 48-hour return visits).
  • Employed descriptive statistics and multiple regression to analyze recidivist characteristics.
  • Conducted chart reviews and telephone interviews to explore ED utilization patterns.

Main Results:

  • 25% of the sample had at least one visit in the previous 3 months; 4% had a 48-hour return visit.
  • Traditional predictors like insurance and symptom chronicity were not reliable for return visits.
  • Age, race, and diagnosis were significant predictors (p < .05), particularly for pediatric patients.

Conclusions:

  • Findings help understand pediatric recidivism and identify high-risk patients.
  • Specific diseases (nervous system, sense organ, digestive, infectious, parasitic) in children under 1 year are associated with higher return visit risk.
  • ED nurses may consider nurse-initiated treatment protocols for at-risk pediatric populations.
Abstract