
The discrete choice experiment is a survey method used to understand how individuals make decisions and quantify features' relative importance. The results of a random–parameters logit model were used to estimate the significance of each treatment attribute. Reduction in systolic BP was identified as the most important driver of patient treatment preference, while treatment-related risks had less influence. The results indicate that respondents would accept interventional treatments in exchange for modest reductions in systolic BP compared with those observed in renal denervation trials.
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