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Modeling the Costs of Hospital-Acquired Infections in New Zealand

Published online by Cambridge University Press:  02 January 2015

Nicholas Graves ,
Tanya M. Nicholls  and
Arthur J. Morris
Nicholas Graves*
Affiliation:
Centre for Health Care Related Infection Surveillance and Prevention, Princess Alexandra Hospital, and the School of Public Health, Queensland University of Technology, Queensland, Australia
Tanya M. Nicholls
Affiliation:
Auckland District Health Board, Infection Control Service, Auckland, New Zealand
Arthur J. Morris
Affiliation:
Auckland District Health Board, Infection Control Service, Auckland, New Zealand
*
School of Public Health, QUT, Victoria Park Road, Kelvin Grove, QLD, 4059, Australia
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Abstract

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Objective:

To model the economic costs of hospital-acquired infections (HAIs) in New Zealand, by type of HAI.

Design:

Monte Carlo simulation model.

Setting:

Auckland District Health Board Hospitals (DHBH), the largest publicly funded hospital group in New Zealand supplying secondary and tertiary services. Costs are also estimated for predicted HAIs in admissions to all hospitals in New Zealand.

Patients:

All adults admitted to general medical and general surgical services.

Method:

Data on the number of cases of HAI were combined with data on the estimated prolongation of hospital stay due to HAI to produce an estimate of the number of bed days attributable to HAI. A cost per bed day value was applied to provide an estimate of the economic cost. Costs were estimated for predicted infections of the urinary tract, surgical wounds, the lower and upper respiratory tracts, the bloodstream, and other sites, and for cases of multiple sites of infection. Sensitivity analyses were undertaken for input variables.

Results:

The estimated costs of predicted HAIs in medical and surgical admissions to Auckland DHBH were $10.12 (US $4.56) million and $8.64 (US $3.90) million, respectively. They were $51.35 (US $23.16) million and $85.26 (US $38.47) million, respectively, for medical and surgical admissions to all hospitals in New Zealand.

Conclusions:

The method used produces results that are less precise than those of a specifically designed study using primary data collection, but has been applied at a lower cost. The estimated cost of HAIs is substantial, but only a proportion of infections can be avoided. Further work is required to identify the most cost-effective strategies for the prevention of HAI.

Type
Orginal Articles
Information
Infection Control & Hospital Epidemiology , Volume 24 , Issue 3 , March 2003 , pp. 214 - 223
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2003

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