Title |
Novel application of a discrete choice experiment to identify preferences for a national healthcare-associated infection surveillance programme: a cross-sectional study
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Published in |
BMJ Open, May 2016
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DOI | 10.1136/bmjopen-2016-011397 |
Pubmed ID | |
Authors |
Philip L Russo, Gang Chen, Allen C Cheng, Michael Richards, Nicholas Graves, Julie Ratcliffe, Lisa Hall |
Abstract |
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). Australia does not have a national HAI surveillance programme. An online web-based DCE was developed and made available to participants in Australia. A sample of 184 purposively selected healthcare workers based on their senior leadership role in infection prevention in Australia. 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. 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)). 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 40% |
Australia | 2 | 40% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 54 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 19% |
Student > Ph. D. Student | 8 | 15% |
Researcher | 7 | 13% |
Student > Bachelor | 3 | 6% |
Lecturer | 3 | 6% |
Other | 9 | 17% |
Unknown | 14 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 10 | 19% |
Medicine and Dentistry | 6 | 11% |
Social Sciences | 6 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
Economics, Econometrics and Finance | 3 | 6% |
Other | 10 | 19% |
Unknown | 15 | 28% |