Information on healthcare utilization in health claims data of statutory health insurances and in comparison with baseline data from the NAKO health study


Project leadDr. Berit Brandes

Approval date28.11.2023

Published date27.02.2024

SummaryThe linkage of primary data to secondary data such as health claims data offers several opportunities to evaluate similarities and differences between these data sources. As the largest population-based cohort study in Germany, the NAKO health study (German National Cohort; GNC) provides the unique opportunity to link information from a large set of primary data with claims data from several German health insurances. This linkage offers an opportunity to explore possible sources of error occurring in these two data sources. Recall and social desirability bias are key factors that influence primary data (self-reports). These potential biases affect not only disease conditions, but also healthcare utilization. In the GNC, claims data as well as the collected primary data will capture information on healthcare utilization from up to five years before the GNC baseline survey. This allows to analyze similarities and differences between the two data sources. The claims data will also be useful to add valuable information regarding healthcare usage within that timeframe, e.g. on vaccination. This will enrich baseline characterization of the GNC participants in general. This study aims to describe and compare information on healthcare usage from claims data as well as from the collected primary data in the GNC.

Keywords agreement claims-data concordance healthcare-utilization primary-data secondary-data

InstitutionsLeibniz Institut für Präventionsforschung und Epidemiologie - BIPS, Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Institut für Sozialmedizin und Gesundheitsökonomie, Institut für Sozialmedizin und Gesundheitssystemforschung, Otto-von-Guericke-Universität Magdeburg

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