University of Twente Student Theses
Exploring the effect of design efficiency in individual preference estimation: Operationalizing reliability, validity and feasibility of a value clarification exercise in both efficient- and D-efficient experimental design to determine the optimal number of choice tasks
Welhuis, E.J.M.S. (2016) Exploring the effect of design efficiency in individual preference estimation: Operationalizing reliability, validity and feasibility of a value clarification exercise in both efficient- and D-efficient experimental design to determine the optimal number of choice tasks.
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| Abstract: | BACKGROUND: Both clinicians and patients experience difficulties in choosing one treatment option, due to preference sensitive decisions in which no option is clearly superior to others. To face this problem, decision support tools including value clarification exercises (VCEs) are increasingly used. The aim of this study is to investigate what design of a VCE based on Best-Worst-Scaling Case 2 (BWS-2) is best to achieve the most reliable, valid and feasible individual preference estimation. METHODS: Men and women, aged 18-80 years, completed a VCE based on BWS-2 exploring their preferences of respectively localized prostate cancer and breast cancer. A fully balanced and orthogonal fractional factorial design was used for the experimental design, which was divided in respectively 6, 6 and 4 choice tasks. Evaluative questions in-between the sections were included as well. RESULTS: After 12 choice tasks, cognitive burden was increasing and willingness to answer additional choice tasks and predicted preferences for one treatment were decreasing, Stated- and final preferences showed significant congruence with 75% respondents’ agreement. DISCUSSION: Main findings indicate that a VCE should be limited to 12 choice tasks. Selecting attributes and levels and generating the design needs to be carefully considered in further research to refine the VCE. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine |
| Programme: | Health Sciences MSc (66851) |
| Link to this item: | https://purl.utwente.nl/essays/70719 |
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