Preferences of patients, clinicians, and healthy controls for the management of a Bethesda III thyroid nodule.

Background: Active surveillance is propagated as an alternative for hemithyroidectomy in the management of Bethesda III thyroid nodules.

Methods: A cross-sectional survey questioned respondents on their willingness to accept risks related to active surveillance and hemithyroidectomy.

Results: In case of active surveillance, respondents (129 patients, 46 clinicians, and 66 healthy controls) were willing to accept a risk of 10%-15% for thyroid cancer and 15% for needing more extensive surgery in the future.

Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment.

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.

A study protocol for quantifying patient preferences in neuromuscular disorders: a case study of the IMI PREFER Project.

Patient preference studies are increasingly used to inform decision-making during the medical product lifecycle but are rarely used to inform early stages of drug development.  The primary aim of this study is to quantify treatment preferences of patients with neuromuscular disorders, which represent serious and debilitating conditions with limited or no treatment options available. This quantitative patient preferences study was designed as an online survey, with a cross-over design.

A Systematic Review of Discrete Choice Experiments in Oncology Treatments.

Background: As the number and type of cancer treatments available rises and patients live with the consequences of their disease and treatments for longer, understanding preferences for cancer care can help inform decisions about optimal treatment development, access, and care provision. Discrete choice experiments (DCEs) are commonly used as a tool to elicit stakeholder preferences; however, their implementation in oncology may be challenging if burdensome trade-offs (e.g.

Preferences of patients and clinicians for treatment of Graves' disease: a discrete choice experiment.

Objective: Treatment options for Graves' disease (GD) consist of antithyroid drugs (ATD), radioactive iodine (RAI) and total thyroidectomy (TT). Guidelines recommend to discuss these options with patients, taking into account patients' preferences. This study aims to evaluate and compare patients' and clinicians' preferences and the trade-offs made in choosing treatment.

Methods for exploring and eliciting patient preferences in the medical product lifecycle: a literature review.

Preference studies are becoming increasingly important within the medical product decision-making context. Currently, there is limited understanding of the range of methods to gain insights into patient preferences. We developed a compendium and taxonomy of preference exploration (qualitative) and elicitation (quantitative) methods by conducting a systematic literature review to identify these methods.

Discrete Choice Experiments in Health Economics: Past, Present and Future.

Objectives: Discrete choice experiments (DCEs) are increasingly advocated as a way to quantify preferences for health. However, increasing support does not necessarily result in increasing quality. Although specific reviews have been conducted in certain contexts, there exists no recent description of the general state of the science of health-related DCEs.