Pediatric Return Visits to the Emergency Department: The Time to Return Curve

Sriram Ramgopal1, Selina Varma1, Timothy W Victor2

  • 1From the Division of Emergency Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL.

Insights

The 72-hour metric for pediatric emergency department (ED) return visits is not evidence-based. A 7-day cutoff is statistically derived as more appropriate for characterizing pediatric ED return visits and hospital admission risk.

Area of Science:

  • Pediatric Emergency Medicine
  • Health Services Research
  • Clinical Informatics

Background:

  • The 72-hour metric for pediatric emergency department (ED) return visits lacks empirical validation.
  • Establishing an evidence-based timeframe for pediatric ED return visits is crucial for accurate performance evaluation.

Purpose of the Study:

  • To statistically derive an optimal cutoff time point for characterizing pediatric return visits to the ED.
  • To compare hospitalization rates between early and late pediatric ED return visits.

Main Methods:

  • Retrospective cohort study of pediatric ED discharges and subsequent return visits within 30 days.
  • Utilized cumulative hazard curves and multivariable adaptive regression spline modeling to identify a return visit "hinge point".
  • Generalized linear mixed modeling assessed the association between return visit timing and hospital admission.

Main Results:

  • Analysis of nearly 2 million index ED discharges revealed 193,605 return visits.
  • Statistical modeling identified a significant hinge point at 7 days for pediatric ED return visits.
  • Early return visits (≤7 days) demonstrated significantly higher adjusted odds of hospital admission (AOR 1.73) compared to late visits (>7 days).

Conclusions:

  • An empirically derived 7-day cutoff is more appropriate for characterizing pediatric ED return visits than the traditional 72-hour metric.
  • Pediatric ED return visits within 7 days are associated with a substantially higher likelihood of hospital admission.
Abstract

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