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Towards a Core Set of Indicators for Data Quality of Registries

机译:朝向注册管理资产数据质量的核心指标集

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Registries are a widely accepted method in health services research. Registry owners are faced with the challenge to document and assure data quality, vital for answering research questions and conducting quality research. Therefore a survey on indicators for data quality was conducted as part of a German funding initiative. A list of 51 pre-defined quality indicators was provided to 16 patient registry projects in a web based survey. The assessment included three criteria derived from the Rand Appropriateness Method (RAM), the application area, and three criteria representing a project-specific perspective. Considering the criteria adapted from RAM, a core set of 17 indicators could be identified. This core set covered important dimensions, such as case completeness, data completeness and validity. Adding importance as a criterion from a project-specific perspective led to a subset of six indicators. The selection of indicators identified through this survey may be applied on different use cases, e.g. a) benchmarking between registries, b) benchmarking of study sites, and c) value-based remuneration of study sites. Thus, the presented core set of indicators can be used as a basis to improve quality of registry data with a systematic approach.
机译:注册管理机构是卫生服务研究中受广泛接受的方法。注册机构所有者面临着文件和保证数据质量的挑战,对回答研究问题和进行质量研究至关重要。因此,作为德国资助倡议的一部分进行了关于数据质量指标的调查。在基于Web的调查中提供了51个预定义质量指标的列表。该评估包括三个来自兰特适当性方法(RAM),应用区和三个标准的三个标准,代表了项目特定的视角。考虑到从RAM调整的标准,可以识别17个指示器的核心组。该核心集涵盖了重要的尺寸,例如案例完整性,数据完整性和有效性。将重要性作为从项目特定的透视图的标准导致六个指示灯的子集。通过本调查确定的指标的选择可以应用于不同用例,例如: a)注册管理机构之间的基准,B)研究网站的基准测试,以及C)基于价值的研究网站的薪酬。因此,所呈现的核心指示灯集可以用作提高通过系统方法提高注册表数据质量的基础。

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