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Methods Inf Med 2005; 44(05): 626-630
DOI: 10.1055/s-0038-1634018
Original Article
Schattauer GmbH

Record Linkage in the Cancer Registry of Tyrol, Austria

W. Oberaigner
1   Cancer Registry of Tyrol, Department of Clinical Epidemiology of the Tyrolean State Hospitals Ltd., Innsbruck, Austria
2   Department of Quality Science, Medical Planning and Information Management, University for Health Informatics and Technology Tyrol, Innsbruck, Austria
,
W. Stühlinger
2   Department of Quality Science, Medical Planning and Information Management, University for Health Informatics and Technology Tyrol, Innsbruck, Austria
› Author Affiliations
Further Information

Publication History

Received: 09 February 2004

accepted: 20 December 2004

Publication Date:
07 February 2018 (online)

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Summary

Objective: Record linkage of patient data originating from various data sources and record linkage for checking uniqueness of patient registration are common tasks for every cancer registry. In Austria, there is no unique person identifier in use in the medical system. Hence, it was necessary and the goal of this work to develop an efficient means of record linkage for use in cancer registries in Austria.

Methods: We adapted the method of probabilistic record linkage to the situation of cancer registries in Austria. In addition to the customary components of this method, we also took into consideration typing errors commonly occurring in names and dates of birth. The method was implemented in a program written in DELPHITM with interfaces optimised for cancer registries.

Results: Applying our record linkage method to 130,509 linkages results in 105,272 (80.7%) identical pairs. For these identical pairs, 88.9% of decisions were performed automatically and 11.1% semi-automatically. For results decided automatically, 6.9% did not have simultaneous identity of last name, first name and date of birth. For results decided semi-automatically, 48.4% did not have an identical last name, 25.6% did not have an identical date of birth and 83.1% did not have simultaneous identity of last name and date of birth and first name.

Conclusions: The method implemented in our cancer registry solves all record linkage problems in Austria with sufficient precision.

Keywords

Probabilistic record linkage - cancer registry - homonym rate - synonym rate
 

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