Dynamics of bed use in accommodating emergency admissions: stochastic simulation model.
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.


METHODS
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.


METHODS
Hypothetical acute hospital in England.


METHODS
Simulated emergency admissions of all types except mental disorder.


METHODS
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.
York Health Economics Consortium, University of York, Heslington, York YO10 5DD. ab13@york.ac.uk
A
A
Bagust
M
M
Place
J W
JW
Posnett
D001509:Bed Occupancy / Q000706:statistics & numerical data*; D001513:Beds / Q000600:supply & distribution*; D004632:Emergency Medical Services / Q000458:organization & administration* / Q000706:statistics & numerical data; D004739:England; D006742:Hospital Bed Capacity; D006779:Hospitals, Public / Q000706:statistics & numerical data; D006801:Humans; D010343:Patient Admission / Q000706:statistics & numerical data*; D013269:Stochastic Processes