谷歌浏览器插件
订阅小程序
在清言上使用

Challenges in IBD Research: Pragmatic Clinical Research

Inflammatory bowel diseases(2019)

引用 19|浏览99
暂无评分
摘要
Pragmatic clinical research is part of five focus areas of the Challenges in IBD research document, which also includes preclinical human IBD mechanisms, environmental triggers, novel technologies, and precision medicine. The Challenges in IBD research document provides a comprehensive overview of current gaps in inflammatory bowel diseases (IBD) research and delivers actionable approaches to address them. It is the result of multidisciplinary input from scientists, clinicians, patients, and funders, and represents a valuable resource for patient centric research prioritization. In particular, the pragmatic clinical research section is focused on highlighting gaps that need to be addressed in order to optimize and standardize IBD care. Identified gaps include: 1) understanding the incidence and prevalence of IBD; 2) evaluating medication positioning to increase therapeutic effectiveness; 3) understanding the utility of therapeutic drug monitoring (TDM); 4) studying pain management; and 5) understanding healthcare economics and resources utilization. To address these gaps, there is a need to emphasize the use of emerging data sources and real-world evidence to better understand epidemiologic and therapeutic trends in IBD, expanding on existing data to better understand how and where we should improve care. Proposed approaches include epidemiological studies in ethnically and geographically diverse cohorts to estimate incidence and prevalence of IBD and impact of diversity on treatment patterns and outcomes. The implementation of new clinical trial design and methodologies will be essential to evaluate optimal medication positioning, appropriate use of TDM in adults and children, and multidisciplinary approaches to IBD pain management and its impact on healthcare resources.
更多
查看译文
关键词
Crohn's disease,ulcerative colitis,randomized controlled trial,real-world evidence,pragmatic clinical research,observational studies,registries,epidemiology,clustered randomization,claims data
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要