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临床试验中纸质与电子数据收集流程的比较:成本模拟研究

Comparison of paper-based and electronic data collection process in clinical trials: costs simulation study.

作者信息

Pavlović Ivan, Kern Tomaz, Miklavcic Damijan

机构信息

University of Ljubljana, Faculty of Electrical Engineering, Trzaska 25, SI-1000 Ljubljana, Slovenia.

出版信息

Contemp Clin Trials. 2009 Jul;30(4):300-16. doi: 10.1016/j.cct.2009.03.008. Epub 2009 Apr 2.

Abstract

An alternative to clinical trial paper-based data collection (PDC) is internet based electronic data collection (EDC), where the investigators over the internet enter data directly in the electronic database by themselves. In our study we considered clinical trial as a business process. Our objective was to model PDC and EDC process and to estimate the difference of the costs of PDC and EDC process for a sample clinical trial based on these models. We used Extended Event-driven Process Chains (eEPC) modeling technique to model PDC and EDC process. In order to evaluate the costs of the processes we assigned costs functions to each process function which appears in the model. The parameters which appear in these functions include efforts, staff prices and data quality parameters. We estimated the values of all these parameters and performed costs calculations for a sample clinical trial. Through an analysis and modeling efforts we identified sub-processes which contain main differences affecting duration and costs of the PDC and EDC process: data gathering at the research center; monitoring; and data management. The most significant model difference between PDC and EDC process appeared in data management sub-process. For the sample clinical trial considered in our simulation study and our parameters estimations the EDC process decreased data collection costs for 55%. For different scenarios of parameters variations we show that the EDC process may bring from 49% to 62% of savings when compared to PDC process.

摘要

临床试验基于纸质的数据收集(PDC)的一种替代方法是基于互联网的电子数据收集(EDC),即研究人员通过互联网自行将数据直接录入电子数据库。在我们的研究中,我们将临床试验视为一个业务流程。我们的目标是对PDC和EDC流程进行建模,并基于这些模型估算一个样本临床试验中PDC和EDC流程的成本差异。我们使用扩展事件驱动流程链(eEPC)建模技术对PDC和EDC流程进行建模。为了评估流程成本,我们为模型中出现的每个流程功能分配了成本函数。这些函数中出现的参数包括工作量、人员价格和数据质量参数。我们估算了所有这些参数的值,并对一个样本临床试验进行了成本计算。通过分析和建模工作,我们确定了包含影响PDC和EDC流程持续时间和成本的主要差异的子流程:研究中心的数据收集;监测;以及数据管理。PDC和EDC流程之间最显著的模型差异出现在数据管理子流程中。对于我们模拟研究中考虑的样本临床试验和我们的参数估计,EDC流程将数据收集成本降低了55%。对于不同的参数变化场景,我们表明与PDC流程相比,EDC流程可能带来49%至62%的成本节省。

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