Using Length of Stay to Understand Patient Flow for Pediatric Inpatients

David C Stockwell1, Cherie Thomas1, Evan S Fieldston1

  • 1Division of Critical Care Medicine, Department of Pediatrics, The George Washington University, School of Medicine, Washington, D.C.; Department of Quality Improvement, Children's Hospital Association, Washington, D.C.; Department of Pediatrics, The Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa.; Division of Analytics, Children's Hospital Association, Washington, D.C.; Department of Pediatrics, Section of Critical Care, University of Colorado School of Medicine, Aurora, Colo.; Department of Pediatrics, Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, Herbert Wertheim College of Medicine, Florida International University, Miami, Fla.; Division of Emergency Medicine, Nicklaus Children's Hospital, Miami, Fla.; Department of Pediatrics, UT Southwestern Medical Center, Dallas, Tex.; Children's Medical Center, Children's Health, Dallas, Tex.; Department of Nursing, All Children's Hospital, St. Petersburg, Fla.; Division of Neonatology, Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio; and Office of the Chief Medical Officer, Nationwide Children's Hospital, Columbus, Ohio.

Pediatric Quality & Safety
|September 20, 2018
PubMed

Insights

A new metric was developed to assess pediatric inpatient flow variability using observed-to-expected length of stay and rehospitalization rates. This metric helps hospitals evaluate their performance in managing patient flow.

Area of Science:

  • Healthcare Management
  • Pediatric Hospital Operations
  • Health Services Research

Background:

  • Inpatient flow is crucial for pediatric hospital efficiency.
  • Existing metrics may not fully capture meaningful variability in patient flow.
  • Assessing performance requires robust and reliable measures.

Purpose of the Study:

  • To develop and validate a novel metric for evaluating inpatient flow variability in pediatric hospitals.
  • To incorporate length of stay and rehospitalization data into a comprehensive performance measure.
  • To provide a tool for pediatric hospitals to benchmark and improve operational efficiency.

Main Methods:

  • Utilized the Pediatric Health Information System dataset (2013) from 38 pediatric hospitals.
  • Created two composite groups: Acute Care Composite (ACC) and ICU Composite (ICUC) based on diagnoses and ICU stay.
  • Incorporated observed-to-expected length of stay (LOS), excess LOS percentage, and 7-day rehospitalization rates into the metric.

Main Results:

  • The ACC included 113,768 hospitalizations; ICUC included 38,400.
  • ACC: median O/E LOS 1.0, median excess LOS 23.9%, rehospitalization 1.7%.
  • ICUC: median O/E LOS 1.1, median excess LOS 32.3%, rehospitalization 4.9%. No O/E LOS and rehospitalization relationship found.

Conclusions:

  • The developed metric effectively demonstrates inter-hospital variation in inpatient flow.
  • This metric can empower pediatric hospitals to assess and enhance their inpatient flow performance.
  • Further research may refine the metric for broader application.
Abstract

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