Abbott Diana, Califf Robert, Morrison Briggs W, Pierre Christine, Bolte Jean, Chakraborty Swati
1 Duke Translational Medicine Institute, Duke University Medical Center, Durham, NC, USA.
2 AstraZeneca, Wilmington, DE, USA.
Ther Innov Regul Sci. 2013 Mar;47(2):152-160. doi: 10.1177/2168479012464371.
Conducting randomized controlled trials entails a prolonged, costly study start-up (SSU) process that may create significant delays. Optimizing the operational aspects of multisite trials requires identifying benchmarks in the SSU process and the potential delays associated with them. We engaged in a collaborative effort to identify and describe key SSU intervals that correspond with necessary procedures and processes for activating multisite clinical trials in the US. After developing definitions for SSU benchmarks and obtaining data from research coordinating entities, we identified factors that were significantly associated with reduced cycle times, including the use of central institutional review boards for study approval and status as a private practice or independent research site. However, small sample sizes and large proportions of missing data hamper the interpretability of our results. Future development of standard measures of SSU efficiency will be critical to analyzing and improving study initiation processes at US research sites.
开展随机对照试验需要经历漫长且成本高昂的研究启动(SSU)过程,这可能会造成显著延迟。优化多中心试验的运营环节需要确定SSU过程中的基准以及与之相关的潜在延迟。我们共同努力,确定并描述了与在美国启动多中心临床试验所需程序和流程相对应的关键SSU间隔。在为SSU基准制定定义并从研究协调实体获取数据后,我们确定了与缩短周期时间显著相关的因素,包括使用中央机构审查委员会进行研究批准以及作为私人诊所或独立研究站点的身份。然而,小样本量和大量缺失数据妨碍了我们结果的可解释性。未来开发SSU效率的标准衡量指标对于分析和改进美国研究站点的研究启动过程至关重要。