Publications by authors named "B Donkers"
Article Synopsis
- The paper critiques traditional healthcare models that focus only on individual patient preferences, emphasizing the importance of social influences on decision-making.
- It highlights that key social influences come from family, friends, and medical professionals, and categorizes these influences into different functions and types of information shared within social relationships.
- The study provides a framework for understanding how social factors shape healthcare choices, pointing to the need for incorporating these interdependencies into healthcare decision-making models.
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.
Objectives: This study aimed to introduce a parsimonious modeling approach that enables the estimation of interaction effects in health state valuation studies.
Methods: Instead of supplementing a main-effects model with interactions between each and every level, a more parsimonious optimal scaling approach is proposed. This approach is based on the mapping of health state levels onto domain-specific continuous scales.
This study undertook a head-to-head comparison of best-worst, best-best and ranking discrete choice experiments (DCEs) to help decide which method to use if moving beyond traditional single-best DCEs. Respondents were randomized to one of three preference elicitation methods. Rank-ordered (exploded) mixed logit models and respondent-reported data were used to compare methods and first and second choices.
View Article and Find Full Text PDF