Monitoring metrics over time: Why clinical trialists need to systematically collect site performance metrics.

Victoria Yorke-Edwards, Carlos Diaz-Montana, Macey L Murray, Matthew R Sydes, Sharon B Love
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Abstract

Background: Over the last decade, there has been an increasing interest in risk-based monitoring (RBM) in clinical trials, resulting in a number of guidelines from regulators and its inclusion in ICH GCP. However, there is a lack of detail on how to approach RBM from a practical perspective, and insufficient understanding of best practice.

Purpose: We present a method for clinical trials units to track their metrics within clinical trials using descriptive statistics and visualisations.

Research design: We suggest descriptive statistics and visualisations within a SWAT methodology.

Study sample: We illustrate this method using the metrics from TEMPER, a monitoring study carried out in three trials at the MRC Clinical Trials Unit at UCL.

Data collection: The data collection for TEMPER is described in DOI: 10.1177/1740774518793379.

Results: We show the results and discuss a protocol for a Study-Within-A-Trial (SWAT 167) for those wishing to use the method.

Conclusions: The potential benefits metric tracking brings to clinical trials include enhanced assessment of sites for potential corrective action, improved evaluation and contextualisation of the influence of metrics and their thresholds, and the establishment of best practice in RBM. The standardisation of the collection of such monitoring data would benefit both individual trials and the clinical trials community.

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随时间监控指标:为什么临床试验人员需要系统地收集站点性能指标。
背景:在过去的十年里,人们对临床试验中基于风险的监测(RBM)越来越感兴趣,监管机构制定了一些指导方针,并将其纳入ICH GCP。然而,缺乏关于如何从实际角度处理成果管理制的细节,对最佳做法的了解也不够。目的:我们为临床试验单位提供了一种方法,使用描述性统计和可视化来跟踪临床试验中的指标。研究设计:我们建议在SWAT方法中进行描述性统计和可视化。研究样本:我们使用TEMPER的指标来说明这种方法,TEMPER是一项在伦敦大学学院MRC临床试验部的三项试验中进行的监测研究。数据收集:TEMPER的数据收集在DOI:10.1177/1707774518793379中进行了描述。结果:我们展示了结果,并讨论了希望使用该方法的人的Study-Within-a-Trial(SWAT 167)方案。结论:指标跟踪为临床试验带来的潜在益处包括加强对潜在纠正措施地点的评估,改进对指标及其阈值影响的评估和情境化,以及建立RBM的最佳实践。此类监测数据收集的标准化将有利于个体试验和临床试验界。
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