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.
Mots-clés Pascal : Lit, Admission hôpital, Urgence, Simulation stochastique, Modèle stochastique, Organisation santé, Homme
Mots-clés Pascal anglais : Bed, Hospital admission, Emergency, Stochastic simulation, Stochastic model, Public health organization, Human
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0393977
Code Inist : 002B27B14C. Création : 22/03/2000.