ArticleBMC health services research2018
A novel design process for selection of attributes for inclusion in discrete choice experiments: case study exploring variation in clinical decision-making about thrombolysis in the treatment of acute ischaemic stroke.
Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Discrete Choice Experiments and Conjoint Analyses in Health Screening Programs for Type 2 Diabetes and Liver Disease: A Scoping Review.Canadian liver journal · 2025Pooled it
- Attribute development for a discrete choice experiment to examine preferences for long-acting HIV prevention products among pregnant and breastfeeding women.Scientific reports · 2026Article
- Public preferences for primary healthcare services in Hong Kong: a discrete choice experiment.BMC primary care · 2026Article
- Cancer survivor preferences for breast cancer follow-up care: a discrete choice experiment.Journal of cancer survivorship : research and practice · 2026Article
- Co-designing a joint protection program for hand osteoarthritis: a latent-class discrete choice experiment of patient preferences.Rheumatology advances in practice · 2026Article
- Preferences of healthcare workers for security personnel to prevent occupational violence: A discrete choice experiment.Work (Reading, Mass.) · 2025Article
- Preferences for Mobile App Features to Support People Living With Chronic Heart Diseases: Discrete Choice Study.JMIR mHealth and uHealth · 2025Article
- Task Shifting, eHealth and Shared Decision-Making-Preference Heterogeneity in the Adult Population for Developments in Outpatient Primary Healthcare.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Preferences for Neurodevelopmental Follow-Up Care for Children: A Discrete Choice Experiment.The patient · 2024Article
- Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB.IJTLD open · 2024Article
- Factors that influence paramedic decision-making about resuscitation for treatment of out of hospital cardiac arrest: Results of a discrete choice experiment in National Health Service ambulance trusts in England and Wales.Resuscitation plus · 2024Article
- A discrete choice experiment to elicit preferences for a liver screening programme in Queensland, Australia: a mixed methods study to select attributes and levels.BMC health services research · 2023Article
- Article
- Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment.The patient · 2023Article
- Methodology to derive preference for health screening programmes using discrete choice experiments: a scoping review.BMC health services research · 2022Article
- Examining patient and professional perspectives in the UK for gene therapy in haemophilia.Haemophilia : the official journal of the World Federation of Hemophilia · 2022Article
- Patient and Public Preferences for Coordinated Care in Switzerland: Development of a Discrete Choice Experiment.The patient · 2022Review
- Article
- Patient perspectives regarding gene therapy in haemophilia: Interviews from the PAVING study.Haemophilia : the official journal of the World Federation of Hemophilia · 2021Article
- iSAY (incentives for South African youth): Stated preferences of young people living with HIV.Social science & medicine (1982) · 2020Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundA discrete choice experiment (DCE) is a method used to elicit participants' preferences and the relative importance of different attributes and levels within a decision-making process. DCEs have become popular in healthcare; however, approaches to identify the attributes/levels influencing a decision of interest and to selection methods for their inclusion in a DCE are under-reported. Our objectives were: to explore the development process used to select/present attributes/levels from the identified range that may be influential; to describe a systematic and rigorous development process for design of a DCE in the context of thrombolytic therapy for acute stroke; and, to discuss the advantages of our five-stage approach to enhance current guidance for developing DCEs.
methodsA five-stage DCE development process was undertaken. Methods employed included literature review, qualitative analysis of interview and ethnographic data, expert panel discussions, a quantitative structured prioritisation (ranking) exercise and pilot testing of the DCE using a 'think aloud' approach.
resultsThe five-stage process reported helped to reduce the list of 22 initial patient-related factors to a final set of nine variable factors and six fixed factors for inclusion in a testable DCE using a vignette model of presentation.
conclusionsIn order for the data and conclusions generated by DCEs to be deemed valid, it is crucial that the methods of design and development are documented and reported. This paper has detailed a rigorous and systematic approach to DCE development which may be useful to researchers seeking to establish methods for reducing and prioritising attributes for inclusion in future DCEs.
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