中重度特应性皮炎患者对治疗属性的偏好:离散选择实验。

Steven R Feldman, Annie Guerin, Marjolaine Gauthier-Loiselle, Ami J Claxton, Nisha C Hazra, Yan Meng, Kirsten Gallant, Sanjeev Balu
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引用次数: 0

摘要

目的:有关美国中重度特应性皮炎(AD)患者治疗偏好的证据有限,因此有必要对该群体的治疗偏好进行评估:对自述患有中重度特应性皮炎或有系统治疗经验且对局部治疗反应不佳的美国成年人进行了在线离散选择实验调查(2023 年 6 月)。根据条件逻辑回归模型估算出的偏好权重用于计算权衡意愿和属性相对重要性(RI):参与者(300 人;平均年龄 45 岁;70% 为女性;52% 有系统治疗经验)更倾向于疗效更高、不良反应(AEs)风险更低、验血次数更少的治疗方法(P 结论:参与者更倾向于能缓解急性髓系白血病(AD)症状的治疗方法:参与者更倾向于选择能最大限度地控制瘙痒,同时又能最大限度地降低不良反应风险的 AD 治疗方法,而给药方式对患者的偏好影响不大。了解患者的偏好有助于改善共同决策,从而提高患者对治疗的满意度,增加参与度,改善临床疗效。
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Patient preferences for treatment attributes in moderate-to-severe atopic dermatitis: a discrete choice experiment.

Purpose: Evidence on treatment preferences of patients with moderate-to-severe atopic dermatitis (AD) in the United States (US) is limited and an assessment of treatment preferences in this group is warranted.Materials and methods: An online discrete choice experiment survey was conducted (June 2023) among US adults with self-reported moderate-to-severe AD or experience with systemic therapy who had inadequate response to topical treatments. Preference weights estimated from conditional logistic regression models were used to calculate willingness to trade off and attributes' relative importance (RI).Results: Participants (N = 300; mean age: 45 years; 70% females; 52% systemic therapy experienced) preferred treatments with higher efficacy, lower risk of adverse events (AEs), and less frequent blood tests (p < .05). Treatment attributes, from high to low RI, were itch control (38%), risk of cancer (23%), risk of respiratory infections (18%), risk of heart problems (11%), sustained improvement in skin appearance (5%), blood test frequency (3%), and frequency and mode of administration (2%); together, AE attributes accounted for more than half of the RI.Conclusions: Participants preferred AD treatments that maximize itch control while minimizing AE risks, whereas mode of administration had little impact on preferences. Understanding patients' preferences may help improve shared decision-making, potentially leading to enhanced patient satisfaction with treatment, increased engagement, and better clinical outcomes.

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