How do Design Characteristics Affect Respondent Engagement? Assessing Attribute Non-attendance in Discrete Choice Experiments Valuing the EQ-5D-5L
This study found evidence to support the use of modified Fedorov designs (constructed using Ngene or SAS) with attribute overlap to reduce ANA and improve respondent engagement in DCE studies. It highlights the potential value of ANA analysis as a quality-control tool for the inclusion and exclusion of respondents in future health valuation work for the EQ-5D-5L.
Authors
- Mark Oppe (ORCID: https://orcid.org/0000-0003-4286-8855)
- Peiwen Jiang (ORCID: https://orcid.org/0009-0000-4173-3487)
- Deborah J. Street (ORCID: https://orcid.org/0000-0002-4476-0656)
- Richard Norman (ORCID: https://orcid.org/0000-0002-8210-9936)
- Rosalie Viney (ORCID: https://orcid.org/0000-0002-0039-9635)
- Brendan James Mulhern (ORCID: https://orcid.org/0000-0003-3656-8063)
Institutions
- University of Technology Sydney (AU)
- New South Wales Department of Health (AU)
- Curtin University (AU)
- Erasmus MC (NL)
- Sydney Local Health District (AU)
- South Western Sydney Local Health District (AU)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Patient
- Published
- 2025-03-15
- DOI
- https://doi.org/10.1007/s40271-025-00735-9
- Primary Topic
- Economic and Environmental Valuation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Technology Sydney
- EuroQol Research Foundation
- Australian Research Council