Literature DB >> 29390198

[Enrichment of Claims Data with Official Causes of Death Using a Record Linkage with the Epidemiological Cancer Registry of North Rhine-Westphalia: Feasibility Study and Comparison of Procedures].

Ingo Langner1, Volker Krieg2, Oliver Heidinger3, Hans Werner Hense4, Hajo Zeeb5.   

Abstract

BACKGROUND: Claims data of the statutory health insurance (SHI) are an important data source for the evaluation of cancer prevention programs. However, this source does not contain relevant information on cause of death. This study examined whether individual claims data can be enriched with data on the required cause of death using record linkage procedures with suitable external data sources.
METHODS: In the German pharmacoepidemiologic research database (GePaRD) we identified a sample of 25,528 deceased female residents of North Rhine Westphalia (NRW) who, according to GePaRD information, died between 2006 and 2013. Date and cause of all deaths among inhabitants of NRW since 2005 were available in the epidemiological cancer registry of NRW. In cooperation with 2 SHI companies, we tried to match each individual of the sample with a case of death in NRW and the corresponding cause of death using a probabilistic and, alternatively, a deterministic linkage procedure.
RESULTS: Of the study sample, 94.72% were successfully matched by the probabilistic and 93.36% by the deterministic method.
CONCLUSIONS: The probabilistic and the deterministic record linkage approach produced comparably high matching rates. Cases without matches are probably due to errors occurring at the stage of personal data entry. Given the lower technical efforts, the deterministic approach appears to be the method of choice for the enrichment of claims data with cause of death information from suitable external data sources in Germany. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2018        PMID: 29390198     DOI: 10.1055/s-0043-124669

Source DB:  PubMed          Journal:  Gesundheitswesen        ISSN: 0941-3790


  2 in total

1.  Implementation of an algorithm for the identification of breast cancer deaths in German health insurance claims data: a validation study based on a record linkage with administrative mortality data.

Authors:  Ingo Langner; Christoph Ohlmeier; Ulrike Haug; Hans Werner Hense; Jonas Czwikla; Hajo Zeeb
Journal:  BMJ Open       Date:  2019-07-26       Impact factor: 2.692

2.  Individual mortality information in the German Pharmacoepidemiological Research Database (GePaRD): a validation study using a record linkage with a large cancer registry.

Authors:  Ingo Langner; Christoph Ohlmeier; Hajo Zeeb; Ulrike Haug; Oliver Riedel
Journal:  BMJ Open       Date:  2019-07-02       Impact factor: 2.692

  2 in total

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