Title

Establishing the Prevalence of Healthcare-associated Infections in Australian Hospitals: Protocol for the Comprehensive Healthcare Associated Infection National Surveillance (CHAINS) Study

Author Faculty (Discipline)

Nursing

Document Type

Article

Publication Date

11-2018

Publication Details

This article was originally published as:

Russo, P. L., Stewardson, A., Cheng, A. C., Bucknall, T., Marimuthu, K., & Mitchell, B. (2018). Establishing the prevalence of healthcare-associated infections in Australian hospitals: Protocol for the Comprehensive Healthcare Associated Infection National Surveillance (CHAINS) study. British Medical Journal (BMJ) Open, 8(11): e024924, 1-7. doi: 10.1136/bmjopen-2018-024924

ISSN: 2044-6055

ANZSRC / FoR Code

111099 Nursing not elsewhere classified

Reportable Items

C1

Abstract

Introduction A healthcare-associated infection (HAI) data point prevalence study (PPS) conducted in 1984 in Australian hospitals estimated the prevalence of HAI to be 6.3%. Since this time, there have been no further national estimates undertaken. In the absence of a coordinated national surveillance programme or regular PPS, there is a dearth of national HAI data to inform policy and practice priorities.

Methods and analysis A national HAI PPS study will be undertaken based on the European Centres for Disease Control method. Nineteen public acute hospitals will participate. A standardised algorithm will be used to detect HAIs in a two-stage cluster design, random sample of adult inpatients in acute wards and all intensive care unit patients. Data from each hospital will be collected by two trained members of the research team. We will estimate the prevalence of HAIs, invasive device use, single room placement and deployment of transmission-based precautions.

Comments

Copyright © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ. This article may be accessed from the publisher here.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial.

At the time of writing Philip Russo was affiliated with Deakin University.

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