Abstract Objectives: To investigate the variability of patients' length of stay in intensive care after cardiac surgery. To investigate potential interactions between such variability, booked admissions, and capacity requirements. Design: Mathematical modelling study using routinely collected data. Setting: A cardiac surgery department. Source of data: Hospital records of 7014 people entering intensive care after cardiac surgery. Main outcome measures: Length of stay in intensive care; capacity requirements of an intensive care unit for a hypothetical booked admission system. Results: Although the vast majority of patients (89.5%) had a length of stay in intensive care of ≤48 hours, there was considerable overall variability and the distribution of stays has a lengthy tail. A mathematical model of the operation of a hypothetical booking system indicates that such variability has a considerable impact on intensive care capacity requirements, indicating that a high degree of reserve capacity is required to avoid high rates of operation cancellation because of unavailability of suitable postoperative care. Conclusion: Despite the considerable enthusiasm for booked admissions systems, queuing theory suggests that caution is required when considering such systems for inpatient admissions. Such systems may well result in frequent operational difficulties if there is a high degree of variability in length of stay and where reserve capacity is limited. Both of these are common in the NHS. What is already known in this topic Booking systems for hospital admissions have considerable potential benefits for patients in terms of peace of mind and planning their lives, but these benefits are dependent on having a low cancellation rate What this study adds Variability in length of stay can have a major impact on hospital operation and capacity requirements. Operational research techniques can be used to explore this impact If variability in length of stay is substantial, as is common, then booked admission systems may require considerable reserve capacity if cancellation rates are to be kept low
[1]
D J Worthington,et al.
Queueing Models for Hospital Waiting Lists
,
1987,
The Journal of the Operational Research Society.
[2]
J. Wijngaard,et al.
The outpatient appointment system: Design of a simulation study
,
1979
.
[3]
N. Bailey.
A Study of Queues and Appointment Systems in Hospital Out‐Patient Departments, with Special Reference to Waiting‐Times
,
1952
.
[4]
P H Millard,et al.
Measuring and modelling surgical bed usage.
,
2000,
Annals of the Royal College of Surgeons of England.
[5]
R. Harris.
Hospital bed requirements planning
,
1986
.
[6]
D. Worthington.
Hospital Waiting List Management Models
,
1991
.
[7]
P H Millard,et al.
Application and comparison of two modelling techniques for hospital bed management.
,
1999,
Australian health review : a publication of the Australian Hospital Association.
[8]
J. D. Welch,et al.
Appointment systems in hospital outpatient departments.
,
1952,
Lancet.