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Adrian Bagust York Health Economics Consortium, University of
York, Heslington, York YO10 5DD
Correspondence to: Adrian Bagust
ab13{at}york.ac.uk
Objective:
To examine the daily bed requirements
arising from the flow of emergency admissions to an acute hospital, to identify the implications of fluctuating and unpredictable demands for
emergency admission for the management of hospital bed capacity, and to
quantify the daily risk of insufficient capacity for patients requiring
immediate admission.
Design:
Modelling of the dynamics of the hospital system, using a discrete-event stochastic simulation model, which reflects the relation between demand and available bed capacity.
Setting:
Hypothetical acute hospital in England.
Subjects:
Simulated emergency admissions of all
types except mental disorder.
Main outcome measures:
The risk of having no bed
available for any patient requiring immediate admission; the daily risk
that there is no bed available for at least one patient requiring
immediate admission; the mean bed occupancy rate.
Results:
Risks are discernible when average bed
occupancy rates exceed about 85%, and an acute hospital can expect
regular bed shortages and periodic bed crises if average bed occupancy rises to 90% or more.
Conclusions:
There are limits to the occupancy
rates that can be achieved safely without considerable risk to patients
and to the efficient delivery of emergency care. Spare bed capacity is
therefore essential for the effective management of emergency admissions, and its cost should be borne by purchasers as an essential element of an acute hospital service.
Key messages
any effects are swamped by random variation
© BMJ 1999
crisis or artefact? Temporal analysis of health services data
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