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Heterogeneity prevails: the state of clinical trial data management in Europe - results of a survey of ECRIN centres

机译:异质性盛行:欧洲临床试验数据管理的现状-ECRIN中心的调查结果

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Background The use of Clinical Data Management Systems (CDMS) has become essential in clinical trials to handle the increasing amount of data that must be collected and analyzed. With a CDMS trial data are captured at investigator sites with "electronic Case Report Forms". Although more and more of these electronic data management systems are used in academic research centres an overview of CDMS products and of available data management and quality management resources for academic clinical trials in Europe is missing. Methods The ECRIN (European Clinical Research Infrastructure Network) data management working group conducted a two-part standardized survey on data management, software tools, and quality management for clinical trials. The questionnaires were answered by nearly 80 centres/units (with an overall response rate of 47% and 43%) from 12 European countries and EORTC. Results Our survey shows that about 90% of centres have a CDMS in routine use. Of these CDMS nearly 50% are commercial systems; Open Source solutions don't play a major role. In general, solutions used for clinical data management are very heterogeneous: 20 different commercial CDMS products (7 Open Source solutions) in addition to 17/18 proprietary systems are in use. The most widely employed CDMS products are MACRO? and Capture System?, followed by solutions that are used in at least 3 centres: eResearch Network?, CleanWeb?, GCP Base? and SAS?. Although quality management systems for data management are in place in most centres/units, there exist some deficits in the area of system validation. Conclusions Because the considerable heterogeneity of data management software solutions may be a hindrance to cooperation based on trial data exchange, standards like CDISC (Clinical Data Interchange Standard Consortium) should be implemented more widely. In a heterogeneous environment the use of data standards can simplify data exchange, increase the quality of data and prepare centres for new developments (e.g. the use of EHR for clinical research). Because data management and the use of electronic data capture systems in clinical trials are characterized by the impact of regulations and guidelines, ethical concerns are discussed. In this context quality management becomes an important part of compliant data management. To address these issues ECRIN will establish certified data centres to support electronic data management and associated compliance needs of clinical trial centres in Europe.
机译:背景技术临床数据管理系统(CDMS)的使用在临床试验中已变得至关重要,以处理必须收集和分析的越来越多的数据。通过CDMS,可以使用“电子病例报告表”在调查人员现场收集试验数据。尽管越来越多的电子数据管理系统在学术研究中心中使用,但对于欧洲的学术临床试验,CDMS产品以及可用的数据管理和质量管理资源的概述仍然缺失。方法ECRIN(欧洲临床研究基础设施网络)数据管理工作组对数据管理,软件工具和临床试验质量管理进行了分为两部分的标准化调查。来自12个欧洲国家和EORTC的近80个中心/单位(总答复率分别为47%和43%)回答了问卷。结果我们的调查显示,大约90%的中心在日常使用中具有CDMS。在这些CDMS中,将近50%是商业系统。开源解决方案并不扮演主要角色。通常,用于临床数据管理的解决方案非常不同:除了17/18专有系统外,还使用了20种不同的商业CDMS产品(7种开源解决方案)。使用最广泛的CDMS产品是MACRO?和Capture System ?,以及至少在三个中心使用的解决方案:eResearch Network ?、 CleanWeb ?、 GCP Base?和SAS?尽管大多数中心/单位都已建立了用于数据管理的质量管理系统,但是在系统验证方面仍存在一些不足。结论由于数据管理软件解决方案的巨大异质性可能会妨碍基于试验数据交换的合作,因此应更广泛地实施诸如CDISC(临床数据交换标准联盟)之类的标准。在异构环境中,使用数据标准可以简化数据交换,提高数据质量并为新的发展做好准备中心(例如将EHR用于临床研究)。由于临床试验中的数据管理和电子数据捕获系统的使用受到法规和指导方针的影响,因此在道德方面进行了讨论。在这种情况下,质量管理成为合规数据管理的重要组成部分。为了解决这些问题,ECRIN将建立经过认证的数据中心,以支持电子数据管理以及欧洲临床试验中心的相关合规性需求。

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