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Dynamics of bed use in accommodating emergency admissions: stochastic simulation model
A Bagust1, M Place, J W Posnett
1York Health Economics Consortium, University of York, Heslington, York YO10 5DD. ab13@york.ac.uk
BMJ (Clinical Research Ed.)
|July 16, 1999
Summary
Maintaining high hospital bed occupancy rates above 85% increases the risk of emergency care disruptions. Hospitals need spare bed capacity to safely manage unpredictable patient admissions and avoid crises.
Area of Science:
- Healthcare Management
- Hospital Operations Research
- Public Health Policy
Background:
- Emergency admissions create fluctuating demands on acute hospital bed capacity.
- Unpredictable patient flow poses challenges for effective hospital bed management.
Purpose of the Study:
- To analyze daily bed requirements for emergency admissions.
- To assess the impact of demand variability on bed capacity management.
- To quantify the risk of insufficient beds for immediate admissions.
Main Methods:
- A discrete-event stochastic simulation model was used to analyze hospital system dynamics.
- The model simulated emergency admissions (excluding mental disorders) in a hypothetical English acute hospital.
- Key outcomes measured included bed availability risk and mean bed occupancy rate.
Main Results:
- Significant risks of bed shortages emerge when average occupancy exceeds 85%.
- Average occupancy rates of 90% or higher lead to frequent shortages and periodic crises.
- Bed availability risks become apparent at lower occupancy levels than often assumed.
Conclusions:
- Safe and efficient emergency care requires limits on hospital bed occupancy rates.
- Adequate spare bed capacity is crucial for managing emergency admissions effectively.
- Purchasers should fund spare capacity as a core component of acute hospital services.