As the available treatments for moderate-to-severe atopic dermatitis (AD) expand, understanding patient and physician preferences becomes crucial for informed decision-making. To quantify patient and physician preferences for biologics and oral systemic AD treatment attributes. We conducted a cross-sectional, online discrete choice experiment (DCE) involving 306 AD patients and 206 physicians throughout the United Kingdom and Germany.
View Article and Find Full Text PDFBackground: Antipsychotic medications are effective treatments for schizophrenia (SZ) and bipolar I disorder (BD-I), but when presented with different treatment options, there are tradeoffs that individuals make between clinical improvement and adverse effects. As new options become available, understanding the attributes of antipsychotic medications that are valued and the tradeoffs that individuals consider when choosing among them is important.
Methods: A discrete-choice experiment (DCE) was administered online to elicit preferences across 5 attributes of oral antipsychotics: treatment efficacy (i.
Background And Aims: Treatments for ulcerative colitis (UC) differ in safety, efficacy, and route of administration; patient preferences for treatment attributes should be considered in treatment decisions. No study to date has explored patient preferences for moderate-to-severe UC treatment in Middle Eastern countries.
Methods: A discrete-choice experiment aimed to quantify treatment preferences in patients with moderate-to-severe UC in 5 Middle Eastern countries (Saudi Arabia, Kuwait, Jordan, the United Arab Emirates, and Lebanon).
Introduction: The development of high-quality stated preference (SP) surveys requires a rigorous design process involving engagement with representatives from the target population. However, while transparency in the reporting of the development of SP surveys is encouraged, few studies report on this process and the outcomes. Recommended stages of instrument development includes both steps for stakeholder/end-user engagement and pretesting.
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