Establishing the prevalence of healthcare-associated infections in Australian hospitals: protocol for the Comprehensive Healthcare Associated Infection National Surveillance (CHAINS) study

Russo, Philip, Stewardson, Andrew, Cheng, Allen C, Bucknall, Tracey, Marimuthu, Kalisvar and Mitchell, Brett G 2018, Establishing the prevalence of healthcare-associated infections in Australian hospitals: protocol for the Comprehensive Healthcare Associated Infection National Surveillance (CHAINS) study, BMJ open, vol. 8, no. 11, pp. 1-7, doi: 10.1136/bmjopen-2018-024924.

Attached Files
Name Description MIMEType Size Downloads

Title Establishing the prevalence of healthcare-associated infections in Australian hospitals: protocol for the Comprehensive Healthcare Associated Infection National Surveillance (CHAINS) study
Author(s) Russo, PhilipORCID iD for Russo, Philip orcid.org/0000-0003-3822-0554
Stewardson, Andrew
Cheng, Allen C
Bucknall, TraceyORCID iD for Bucknall, Tracey orcid.org/0000-0001-9089-3583
Marimuthu, Kalisvar
Mitchell, Brett G
Journal name BMJ open
Volume number 8
Issue number 11
Article ID e024924
Start page 1
End page 7
Total pages 7
Publisher BMJ Publishing Group
Place of publication London, Eng.
Publication date 2018-11-08
ISSN 2044-6055
Keyword(s) healthcare associated infection
infection control
infection prevention
point prevalence surveillance
science & technology
life sciences & biomedicine
general & internal medicine
Summary 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. ETHICS AND DISSEMINATION: Ethics approval was obtained from the Alfred Health Human Research Ethics Committee (HREC/17/Alfred/203) via the National Mutual Assessment. A separate approval was obtained from the Tasmanian Health and Medical Human Research Committee (H0016978) for participating Tasmanian hospitals. Findings will be disseminated in individualised participating hospital reports, peer-reviewed publications and conference presentations.
Language eng
DOI 10.1136/bmjopen-2018-024924
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, Author(s) (or their employer(s))
Persistent URL http://hdl.handle.net/10536/DRO/DU:30115686

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 31 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Tue, 27 Nov 2018, 09:30:48 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.