Novel application of a discrete choice experiment to identify preferences for a national healthcare-associated infection surveillance programme: A cross-sectional study


Autoria(s): Russo, Philip L.; Chen, Gang; Cheng, Allen C.; Richards, Michael; Graves, Nicholas; Ratcliffe, Julie; Hall, Lisa
Data(s)

04/05/2016

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/95568/

Publicador

B M J Group

Relação

http://eprints.qut.edu.au/95568/3/BMJ%20Open-2016-Russo-.pdf

DOI:10.1136/bmjopen-2016-011397

Russo, Philip L., Chen, Gang, Cheng, Allen C., Richards, Michael, Graves, Nicholas, Ratcliffe, Julie, & Hall, Lisa (2016) Novel application of a discrete choice experiment to identify preferences for a national healthcare-associated infection surveillance programme: A cross-sectional study. BMJ Open, 6(5), e011397.

http://purl.org/au-research/grants/NHMRC/1030103

http://purl.org/au-research/grants/NHMRC/1059565

Direitos

Copyright 2016 by the BMJ Publishing Group Ltd.

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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

Fonte

Faculty of Health; Institute of Health and Biomedical Innovation; School of Public Health & Social Work

Palavras-Chave #Infection prevention #Surveillance #Preferences #Discrete choice experiment
Tipo

Journal Article