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Related Experiment Video

Updated: May 20, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

Calculating the need for intensive care beds.

Gale A Pearson1, Fiona Reynolds, John Stickley

  • 1Paediatric Intensive Care, Birmingham Children's Hospital, Steelhouse Lane, Birmingham, UK. gale.pearson@bch.nhs.uk

Archives of Disease in Childhood
|July 6, 2012
PubMed
Summary
This summary is machine-generated.

High refused admissions indicate insufficient pediatric intensive care capacity. A Monte Carlo model suggests 34 beds are needed, exceeding the conventional method's 27-bed recommendation, to meet demand.

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Area of Science:

  • Pediatric critical care medicine
  • Healthcare resource management
  • Biostatistics

Background:

  • High refused admission rates in a pediatric intensive care unit (PICU) prompted an evaluation of current bed capacity.
  • Existing models for calculating ICU bed requirements may not fully account for all demand factors.

Purpose of the Study:

  • To model the demand for a 20-bed pediatric intensive care unit.
  • To compare the efficacy of conventional Poisson distribution methods with a Monte Carlo simulation for bed capacity planning.

Main Methods:

  • Analyzed historical admission and refused admission data over two years.
  • Compared a conventional Poisson distribution model with a Monte Carlo simulation incorporating supra-regional referrals and longer average stays.
  • Utilized random sampling with replacement to compare occupancy scenarios.

Main Results:

  • PICU demand has increased over time.
  • The conventional method suggested 27 beds for 95% annual coverage.
  • The Monte Carlo method indicated a need for 34 beds for 95% compliance, with seasonal variations requiring 30 (summer) to 38 (winter) beds.

Conclusions:

  • Insufficient PICU capacity is the likely cause of high refused admission rates.
  • The Monte Carlo analysis, accounting for total workload including referrals, predicts a higher bed requirement than conventional methods.