Logo image
Optimal number of beds and occupancy to minimize staffing costs in an obstetrical unit?
Journal article   Open access   Peer reviewed

Optimal number of beds and occupancy to minimize staffing costs in an obstetrical unit?

F Dexter and A Macario
Canadian journal of anaesthesia = Journal canadien d'anesthesie, Vol.48(3), pp.295-301
03/2001
DOI: 10.1007/BF03019762
PMID: 11305833
url
https://doi.org/10.1007/BF03019762View
Published (Version of record) Open Access

Abstract

We describe how the science of analyzing patient arrival and discharge data can be used to determine the optimal number of staffed OB beds to minimize labour costs. The number of staffed beds represents a balance between having as few staffed beds as possible to care properly for parturients vs having enough capacity to assure available staff for new admissions. The times of admission and discharge of patients from the OB unit can be used to calculate an average census. From this average census, and the properties of the Poisson distribution, the optimal number of staffed beds can be estimated. This calculation requires specification of the risk of having all in-house and on-call staff caring for patients, such that additional staff are unavailable should another parturient arrive. As an example, patient admission and discharge times were obtained for 777 successive patients cared for at an obstetrical unit. The numbers of patients present in the OB unit each two-hour period were calculated and analyzed statistically. There was variation in the average census among hours of the day and days of the week. Poisson distributions fit the data for each of four periods throughout the week. Simply benchmarking the current average occupancy and comparing it to a desired occupancy would have been inadequate as this neglected consideration of the risk of being unable to appropriately care for an additional patient. The optimal number of beds and occupancy of an OB unit to minimize staffing costs can be determined using straightforward statistical methods.
Canada Costs and Cost Analysis Delivery Rooms - economics Risk Assessment Anesthesia, Obstetrical - economics Poisson Distribution Delivery Rooms - manpower Personnel Staffing and Scheduling - economics

Details

Metrics

Logo image