Department of Clinical Research, University Hospital Basel and University of Basel, Spitalstrasse 12, Basel, CH- 4031, Switzerland.
Department of Public Health & Primary Care, KU Leuven, Leuven, Belgium.
BMC Med Res Methodol. 2023 Apr 5;23(1):84. doi: 10.1186/s12874-023-01902-y.
Most randomized controlled trials (RCTs) in the academic setting have limited resources for clinical trial management and monitoring. Inefficient conduct of trials was identified as an important source of waste even in well-designed studies. Thoroughly identifying trial-specific risks to enable focussing of monitoring and management efforts on these critical areas during trial conduct may allow for the timely initiation of corrective action and to improve the efficiency of trial conduct. We developed a risk-tailored approach with an initial risk assessment of an individual trial that informs the compilation of monitoring and management procedures in a trial dashboard.
We performed a literature review to identify risk indicators and trial monitoring approaches followed by a contextual analysis involving local, national and international stakeholders. Based on this work we developed a risk-tailored management approach with integrated monitoring for RCTs and including a visualizing trial dashboard. We piloted the approach and refined it in an iterative process based on feedback from stakeholders and performed formal user testing with investigators and staff of two clinical trials.
The developed risk assessment comprises four domains (patient safety and rights, overall trial management, intervention management, trial data). An accompanying manual provides rationales and detailed instructions for the risk assessment. We programmed two trial dashboards tailored to one medical and one surgical RCT to manage identified trial risks based on daily exports of accumulating trial data. We made the code for a generic dashboard available on GitHub that can be adapted to individual trials.
The presented trial management approach with integrated monitoring enables user-friendly, continuous checking of critical elements of trial conduct to support trial teams in the academic setting. Further work is needed in order to show effectiveness of the dashboard in terms of safe trial conduct and successful completion of clinical trials.
大多数学术环境中的随机对照试验(RCT)在临床试验管理和监测方面资源有限。即使在设计良好的研究中,试验执行效率低下也被认为是浪费的一个重要来源。在试验执行过程中,通过彻底识别特定于试验的风险,以便将监测和管理工作集中在这些关键领域,可以及时采取纠正措施,并提高试验执行的效率。我们开发了一种风险定制方法,对个体试验进行初步风险评估,为试验仪表板中的监测和管理程序的编制提供信息。
我们进行了文献回顾,以确定风险指标和试验监测方法,然后进行了涉及当地、国家和国际利益相关者的情境分析。基于这项工作,我们开发了一种针对 RCT 的风险定制管理方法,包括集成监测和可视化试验仪表板。我们对该方法进行了试点,并根据利益相关者的反馈进行了迭代改进,还对两个临床试验的研究人员和工作人员进行了正式的用户测试。
开发的风险评估包括四个领域(患者安全和权利、总体试验管理、干预管理、试验数据)。配套手册为风险评估提供了理由和详细说明。我们针对一个医学 RCT 和一个外科 RCT 定制了两个试验仪表板,以根据积累的试验数据的日常导出来管理已识别的试验风险。我们在 GitHub 上提供了一个通用仪表板的代码,可适用于个别试验。
本研究提出的具有集成监测的试验管理方法可实现对试验进行的关键要素的友好、持续检查,为学术环境中的试验团队提供支持。需要进一步的工作来证明仪表板在安全试验进行和临床试验成功完成方面的有效性。