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数据质量保证、监测与报告。

Data quality assurance, monitoring, and reporting.

作者信息

Gassman J J, Owen W W, Kuntz T E, Martin J P, Amoroso W P

出版信息

Control Clin Trials. 1995 Apr;16(2 Suppl):104S-136S. doi: 10.1016/0197-2456(94)00095-k.

Abstract

In conclusion, the quality assurance and monitoring program is an integral and continuing part of study operations. A system must be devised and implemented by the coordinating center investigators, with the endorsement of the study leadership and support of the field site and resource center personnel. Proactive mechanisms for promoting high-quality data acquisition and reporting must be implemented. Data quality monitoring must address the entire process by which the data are gathered, transmitted, stored, and analyzed. Data quality should be monitored continually, with summary reports prepared and distributed to the study leadership. Appropriate training and certification enhance data quality, and site visits allow data collection and storage processes to be observed directly. The quality assurance and monitoring system must be documented. It should be flexible enough so that new means of quality assurance or monitoring can be added when necessary during the course of the study. At the completion of the study, quality monitoring results should be summarized in a final report regarding the level of quality achieved by the study investigators and personnel. Finally, for a quality assurance and monitoring program to be successful, the coordinating center investigators and personnel must provide prompt feedback and suggestions for corrective action whenever a data quality problem is discovered. This need can be met only when the coordinating center staff understand data quality goals and are up to date with all phases of data management and reporting. Delays in initiating any stage of data management and quality monitoring may result in uncorrectable data problems. Thus, knowledgeable and efficient coordinating center personnel are essential to achieving good data quality studywide.

摘要

总之,质量保证和监测计划是研究操作中不可或缺的持续组成部分。必须由协调中心的研究人员设计并实施一个系统,并得到研究负责人的认可以及现场站点和资源中心人员的支持。必须实施积极主动的机制来促进高质量的数据采集和报告。数据质量监测必须涵盖数据收集、传输、存储和分析的整个过程。应持续监测数据质量,并编写总结报告分发给研究负责人。适当的培训和认证可提高数据质量,现场访问能直接观察数据收集和存储过程。质量保证和监测系统必须形成文件记录。它应足够灵活,以便在研究过程中必要时能添加新的质量保证或监测方法。在研究结束时,质量监测结果应在一份关于研究调查人员和人员所达到质量水平的最终报告中进行总结。最后,要使质量保证和监测计划取得成功,协调中心的研究人员和人员在发现数据质量问题时必须及时提供反馈和纠正措施建议。只有当协调中心工作人员理解数据质量目标并了解数据管理和报告的所有阶段时,才能满足这一需求。数据管理和质量监测任何阶段的启动延迟都可能导致无法纠正的数据问题。因此,知识渊博且高效的协调中心人员对于在整个研究中实现良好的数据质量至关重要。

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