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Comparing Discrete Choice Experiment with Swing Weighting to Estimate Attribute Relative Importance: A Case Study in Lung Cancer Patient Preferences

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  • J. Veldwijk

    (Erasmus School of Health Policy & Management, Erasmus University, Rotterdam, the Netherlands
    Erasmus Choice Modelling Centre, Erasmus University, Rotterdam, the Netherlands
    Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Julius Centrum, Utrecht, the Netherlands)

  • I. P. Smith

    (Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Julius Centrum, Utrecht, the Netherlands)

  • S. Oliveri

    (Applied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, Italy)

  • S. Petrocchi

    (Applied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, Italy)

  • M. Y. Smith

    (Alexion AstraZeneca Rare Disease, Boston, MA, USA
    Department of Regulatory and Quality Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA, USA)

  • L. Lanzoni

    (Applied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, Italy)

  • R. Janssens

    (Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium)

  • I. Huys

    (Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium)

  • G. A. de Wit

    (Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Julius Centrum, Utrecht, the Netherlands
    Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam & Amsterdam Public Health Research Institute, Amsterdam, the Netherlands)

  • C. G. M Groothuis-Oudshoorn

    (Health Technology and Services Research (HTSR), Faculty of Behavioural Management and Social Sciences, University of Twente, Enschede, the Netherlands)

Abstract

Introduction Discrete choice experiments (DCE) are commonly used to elicit patient preferences and to determine the relative importance of attributes but can be complex and costly to administer. Simpler methods that measure relative importance exist, such as swing weighting with direct rating (SW-DR), but there is little empirical evidence comparing the two. This study aimed to directly compare attribute relative importance rankings and weights elicited using a DCE and SW-DR. Methods A total of 307 patients with non–small-cell lung cancer in Italy and Belgium completed an online survey assessing preferences for cancer treatment using DCE and SW-DR. The relative importance of the attributes was determined using a random parameter logit model for the DCE and rank order centroid method (ROC) for SW-DR. Differences in relative importance ranking and weights between the methods were assessed using Cohen’s weighted kappa and Dirichlet regression. Feedback on ease of understanding and answering the 2 tasks was also collected. Results Most respondents (>65%) found both tasks (very) easy to understand and answer. The same attribute, survival, was ranked most important irrespective of the methods applied. The overall ranking of the attributes on an aggregate level differed significantly between DCE and SW-ROC ( P  

Suggested Citation

  • J. Veldwijk & I. P. Smith & S. Oliveri & S. Petrocchi & M. Y. Smith & L. Lanzoni & R. Janssens & I. Huys & G. A. de Wit & C. G. M Groothuis-Oudshoorn, 2024. "Comparing Discrete Choice Experiment with Swing Weighting to Estimate Attribute Relative Importance: A Case Study in Lung Cancer Patient Preferences," Medical Decision Making, , vol. 44(2), pages 203-216, February.
    • Handle: RePEc:sae:medema:v:44:y:2024:i:2:p:203-216
    DOI: 10.1177/0272989X231222421
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    References listed on IDEAS

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    1. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.
    2. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834, November.
    3. Gueorguieva, Ralitza & Rosenheck, Robert & Zelterman, Daniel, 2008. "Dirichlet component regression and its applications to psychiatric data," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5344-5355, August.
    4. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    5. Dennis Fok & Richard Paap & Bram Van Dijk, 2012. "A Rank‐Ordered Logit Model With Unobserved Heterogeneity In Ranking Capabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 831-846, August.
    6. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
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