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    • Recommended Data Elements for Health Registries: a Survey from a German Funding Initiative

    Sonja Harkener,Ekkehart Jenetzky,Rüdiger Rupp,Jennifer Dell,Christoph Engel,Maximilian Ferry von Bargen,Robert Finger,Maximilian Glienke,Carsten Heinz,Patrick Jersch,David Martin,Rita Schmutzler,Martin Schönthaler,Barbara Suwelack,Jeannine Wegner,Jürgen Stausberg

    BMC Medical Informatics and Decision Making（2024）

    University Duisburg-Essen | WittenHerdecke University | Heidelberg University Hospital | University Hospital Bonn | Leipzig University | Medical Centre - University of Freiburg | University Hospital Mannheim | St. Franziskus-Hospital Münster | University of Cologne | University Hospital Muenster

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    Abstract
    Background The selection of data elements is a decisive task within the development of a health registry. Having the right metadata is crucial for answering the particular research questions. Furthermore, the set of data elements determines the registries' readiness of interoperability and data reusability to a major extent. Six health registries shared and published their metadata within a German funding initiative. As one step in the direction of a common set of data elements, a selection of those metadata was evaluated with regard to their appropriateness for a broader usage.Methods Each registry was asked to contribute a 10%-selection of their data elements to an evaluation sample. The survey was set up with the online survey tool ,,LimeSurvey Cloud". The registries and an accompanying project participated in the survey with one vote for each project. The data elements were offered in content groups along with the question of whether the data element is appropriate for health registries on a broader scale. The question could be answered using a Likert scale with five options. Furthermore, "no answer" was allowed. The level of agreement was assessed using weighted Cohen's kappa and Kendall's coefficient of concordance.Results The evaluation sample consisted of 269 data elements. With a grade of "perhaps recommendable" or higher in the mean, 169 data elements were selected. These data elements belong preferably to groups' demography, education/occupation, medication, and nutrition. Half of the registries lost significance compared with their percentage of data elements in the evaluation sample, one remained stable. The level of concordance was adequate.Conclusions The survey revealed a set of 169 data elements recommended for health registries. When developing a registry, this set could be valuable help in selecting the metadata appropriate to answer the registry's research questions. However, due to the high specificity of research questions, data elements beyond this set will be needed to cover the whole range of interests of a register. A broader discussion and subsequent surveys are needed to establish a common set of data elements on an international scale.
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    Data element,Health care,Health services research,Metadata,Registry
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