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.
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Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Germany.
Humans, Registries, Benchmarking, Quality Indicators, Health Care, Surveys and Questionnaires, Data Accuracy