Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Modelling the requirement for supplementary nurses in an intensive care unit

Griffiths, Jeffrey Deacon, Price-Lloyd, Naomi, Smithies, M. and Williams, Janet Elizabeth 2005. Modelling the requirement for supplementary nurses in an intensive care unit. Journal of the Operational Research Society 56 (2) , pp. 126-133. 10.1057/palgrave.jors.2601882

Full text not available from this repository.

Abstract

The intensive care unit (ICU) of a hospital is an essential yet costly resource. Consequently, intensive care modelling has become increasingly prevalent in recent years in attempts to increase efficiency and reduce costs. Previous models have usually assumed that the numbers of beds available are restricted; when all beds are occupied, any additional patients are referred elsewhere or elective surgeries are cancelled. In this study, activities at the ICU at a large teaching hospital were modelled using data relating to all admissions to the ICU during the year 2000—a total of 1084 admissions. The unit is unusual in that the majority of patients referred for intensive care therapy are admitted. Bed numbers are increased when necessary to cope with demand. However, nurses are a restricted resource. In order to maintain the required nurse:patient ratio of at least one:one, supplementary nurses are employed during busy periods. Supplementary nurse costs are substantial and so nurse utilization must be closely monitored. The development of a model that calculates the required number of supplementary nurses per shift, and also encapsulates the time-dependent nature of elective surgery admissions and complex duration-of-stay profiles, is presented in this paper. In particular, the model is used to determine the number of rostered nurses that are required to minimize overall nursing staff costs.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Mathematics
Subjects: Q Science > QA Mathematics
R Medicine > RT Nursing
Uncontrolled Keywords: Studies ; Intensive care ; Hospitals ; Nurses ; Operations research ; Workforce planning ; Models
ISSN: 0160-5682
Last Modified: 15 Dec 2017 08:37
URI: http://orca.cf.ac.uk/id/eprint/1718

Citation Data

Cited 66 times in Google Scholar. View in Google Scholar

Cited 50 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item