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Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment.
Soekhai, Vikas; Donkers, Bas; Johansson, Jennifer Viberg; Jimenez-Moreno, Cecilia; Pinto, Cathy Anne; de Wit, G Ardine; de Bekker-Grob, Esther.
Afiliación
  • Soekhai V; Erasmus Choice Modelling Centre, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands. soekhai@eshpm.eur.nl.
  • Donkers B; Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands. soekhai@eshpm.eur.nl.
  • Johansson JV; Department of Public Health, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands. soekhai@eshpm.eur.nl.
  • Jimenez-Moreno C; Erasmus Choice Modelling Centre, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.
  • Pinto CA; Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands.
  • de Wit GA; Department of Public Health and Caring Sciences, Centre for Research Ethics and Bioethics, Uppsala University, Uppsala, Sweden.
  • de Bekker-Grob E; Institute of Futures Studies, Stockholm, Sweden.
Patient ; 16(3): 239-253, 2023 05.
Article en En | MEDLINE | ID: mdl-36781628
BACKGROUND AND OBJECTIVES: Case 2 best-worst scaling (BWS-2) is an increasingly popular method to elicit patient preferences. Because BWS-2 potentially has a lower cognitive burden compared with discrete choice experiments, the aim of this study was to compare treatment preference weights and relative importance scores. METHODS: Patients with neuromuscular diseases completed an online survey at two different moments in time, completing one method per occasion. Patients were randomly assigned to either first a discrete choice experiment or BWS-2. Attributes included: muscle strength, energy endurance, balance, cognition, chance of blurry vision, and chance of liver damage. Multinomial logit was used to calculate overall relative importance scores and latent class logit was used to estimate heterogeneous preference weights and to calculate the relative importance scores of the attributes for each latent class. RESULTS: A total of 140 patients were included for analyses. Overall relative importance scores showed differences in attribute importance rankings between a discrete choice experiment and BWS-2. Latent class analyses indicated three latent classes for both methods, with a specific class in both the discrete choice experiment and BWS-2 in which (avoiding) liver damage was the most important attribute. Ex-post analyses showed that classes differed in sex, age, level of education, and disease status. The discrete choice experiment was easier to understand compared with BWS-2. CONCLUSIONS: This study showed that using a discrete choice experiment and BWS-2 leads to different outcomes, both in preference weights as well as in relative importance scores, which might have been caused by the different framing of risks in BWS-2. However, a latent class analysis revealed similar latent classes between methods. Careful consideration about method selection is required, while keeping the specific decision context in mind and pilot testing the methods.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Conducta de Elección / Cognición Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Patient Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Conducta de Elección / Cognición Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Patient Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos