Discrete-choice experiments versus rating scale exercises to evaluate the importance of attributes

B.F.M. Wijnen, I.M. van der Putten, S. Groothuis, R.J.A. de Kinderen, C.Y.G. Noben, A.T.G. Paulus, B.L.T. Ramaekers, G.C.W.M. Vogel, M. Hiligsmann

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Aim: To examine the difference between discrete-choice experiments (DCE) and rating scale exercises (RSE) in determining the most important attributes using a case study. Methods: Undergraduate health sciences students were asked to complete a DCE and a RSE. Six potentially important attributes were identified in focus groups. Fourteen unlabelled choice tasks were constructed using a statistically efficient design. Mixed multinomial logistic regression analysis was used for DCE data analysis. Results: In total, 254 undergraduate students filled out the questionnaire. In the DCE, only four attributes were statistically significant, whereas in the RSE, all attributes except one were rated four or higher. Conclusion: Attribute importance differs between DCE and RSE. The DCE had a differentiating effect on the relative importance of the attributes; however, determining relative importance using DCE should be done with caution as a lack of statistically significant difference between levels does not necessarily imply that the attribute is not important.
Original languageEnglish
Pages (from-to)721-728
JournalExpert Review of Pharmacoeconomics & Outcomes Research
Issue number4
Publication statusPublished - 1 Jan 2015

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