Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/115538
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Type: Journal article
Title: Novel application of a discrete choice experiment to identify preferences for a national healthcare-associated infection surveillance programme: a cross-sectional study
Author: Russo, P.L.
Chen, G.
Cheng, A.C.
Richards, M.
Graves, N.
Ratcliffe, J.
Hall, L.
Citation: BMJ Open, 2016; 6(5):e011397-1-e011397-8
Publisher: BMJ Journals
Issue Date: 2016
ISSN: 2044-6055
2044-6055
Statement of
Responsibility: 
Philip L Russo, Gang Chen, Allen C Cheng, Michael Richards, Nicholas Graves, Julie Ratcliffe, Lisa Hall
Abstract: Objective To identify key stakeholder preferences and priorities when considering a national healthcare-associated infection (HAI) surveillance programme through the use of a discrete choice experiment (DCE). Setting Australia does not have a national HAI surveillance programme. An online web-based DCE was developed and made available to participants in Australia. Participants A sample of 184 purposively selected healthcare workers based on their senior leadership role in infection prevention in Australia. Primary and secondary outcomes A DCE requiring respondents to select 1 HAI surveillance programme over another based on 5 different characteristics (or attributes) in repeated hypothetical scenarios. Data were analysed using a mixed logit model to evaluate preferences and identify the relative importance of each attribute. Results A total of 122 participants completed the survey (response rate 66%) over a 5-week period. Excluding 22 who mismatched a duplicate choice scenario, analysis was conducted on 100 responses. The key findings included: 72% of stakeholders exhibited a preference for a surveillance programme with continuous mandatory core components (mean coefficient 0.640 (p<0.01)), 65% for a standard surveillance protocol where patient-level data are collected on infected and non-infected patients (mean coefficient 0.641 (p<0.01)), and 92% for hospital-level data that are publicly reported on a website and not associated with financial penalties (mean coefficient 1.663 (p<0.01)). Conclusions The use of the DCE has provided a unique insight to key stakeholder priorities when considering a national HAI surveillance programme. The application of a DCE offers a meaningful method to explore and quantify preferences in this setting.
Keywords: Cross Infection
Rights: © Article author(s)(or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 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 noncommercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http:// creativecommons.org/licenses/by-nc/4.0/
DOI: 10.1136/bmjopen-2016-011397
Grant ID: http://purl.org/au-research/grants/nhmrc/1030103
http://purl.org/au-research/grants/nhmrc/1068732
http://purl.org/au-research/grants/nhmrc/1059565
Published version: http://dx.doi.org/10.1136/bmjopen-2016-011397
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