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

Purpose: We describe how the science of analyzing patient arrival and disch arge data can be used to determine the optimal number of staffed OB beds to minimize labour costs. Methods: The number of staffed beds represents a balance between having as few staffed beds as possible to care properly for parturients vs having eno ugh capacity to assure available staff for new admissions. The times of adm ission 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 Pois son 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 unavailab le should another parturient arrive. hs an example, patient admission and d ischarge times were obtained for 777 successive patients cared for at an ob stetrical unit. The numbers of patients present in the OB unit each two-hou r period were calculated and analyzed statistically. Principal findings: There was variation in the average census among hours o f the day and days of the week, Poisson distributions fit the data for each of four periods throughout the week. Simply benchmarking the current avera ge occupancy and comparing it to a desired occupancy would have been inadeq uate as this neglected consideration of the risk of being unable to appropr iately care for an additional patient. Conclusions: The optimal number of beds and occupancy of an OB unit to mini mize staffing costs can be determined using straightforward statistical met hods.