4.6 Article

Patient Preferences in Regulatory Benefit-Risk Assessments: A US Perspective

期刊

VALUE IN HEALTH
卷 19, 期 6, 页码 741-745

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jval.2016.04.008

关键词

benefit-risk assessment; discrete-choice experiments; patient preferences; regulatory reviews

向作者/读者索取更多资源

Demands for greater transparency in US regulatory assessments of benefits and risks, together with growing interest in engaging patients in Food and Drug Administration regulatory decision making, have resulted in several recent regulatory developments. Although Food and Drug Administration's Center for Drug Evaluation and Research (CDER) and Center for Devices and Radiological Health (CDRH) have established patient-engagement initiatives, CDRH has proposed guidelines for considering quantitative data on patients' benefit-risk perspectives, while CDER has focused on a more qualitative approach. We summarize two significant studies that were developed in collaboration and consultation with CDER and CDRH. CDER encouraged a patient advocacy group to propose draft guidance on engaging patient and caregiver stakeholders in regulatory decision making for Duchenne muscular dystrophy. CDRH sponsored a discrete-choice experiment case study to quantify obese respondents' perspectives on meaningful benefits. CDRH and CDER issued draft guidance in May and June 2015, respectively, on including patient-preference data in regulatory submissions. Both organizations face challenges. CDER is working on integrating qualitative data into existing evidence-based review processes and is exploring options for therapeutic areas not included on a priority list. CDRH has adopted an approach that requires patient-preference data to satisfy standards of valid scientific evidence. Although that strategy could facilitate integrating patient perspectives directly with clinical data on benefits and harms, generating such data requires building capacity.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据