Identifying key metrics for reducing premature departure from the pediatric emergency department

Keith P Cross1, Edward Gracely, Michelle D Stevenson

  • 1Department of Pediatrics, University of Louisville, Kosair Children's Hospital, KY, USA. keith.cross@louisville.edu

Insights

Pediatric emergency departments (PEDs) can reduce patient departures before evaluation by monitoring wait times, length of stay, and concurrent departures. Key metrics help identify and intervene with high-risk patients to improve care.

Area of Science:

  • Pediatric Emergency Medicine
  • Healthcare Operations Research
  • Patient Flow Management

Background:

  • Premature departure (PD) from pediatric emergency departments (PEDs) affects 2-5% of children, potentially impacting care quality.
  • Identifying risk factors for PD is crucial for developing targeted interventions to improve patient outcomes.

Purpose of the Study:

  • To assess risk factors associated with premature departure (PD) from a pediatric emergency department (PED).
  • To identify key metrics and operational cutoffs for reducing PD rates in PEDs.

Main Methods:

  • A 3-year cohort study analyzed 132,324 patient visits, excluding specific cases like psychiatric issues or awaiting admission.
  • Univariate analyses, multivariable logistic regression, and recursive partitioning identified factors associated with PD.
  • A fourth year of data was used for validation and sensitivity analysis.

Main Results:

  • The premature departure (PD) rate was 3.8% in the derivation set and 4.3% in the validation set.
  • PD rates exceeded 10% for low-acuity patients when average wait time was over 110 minutes, concurrent PDs were two or more, or average length of stay (LOS) exceeded 224 minutes.
  • These findings remained robust across sensitivity analyses.

Conclusions:

  • Five key metrics—average wait time, average LOS, acuity, concurrent PDs, and arrival rate—are significantly associated with PD in PEDs.
  • Operational cutoffs for these metrics can guide physicians and administrators in implementing interventions to reduce PDs.
  • Targeting interventions based on these metrics can improve patient flow and reduce premature departures from PEDs.
Abstract

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