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Methods Inf Med 1996; 35(01): 19-24
DOI: 10.1055/s-0038-1634635
Original Article
Schattauer GmbH

Determinants of Homonym and Synonym Rates of Record Linkage in Disease Registration

H. Brenner
1   Department of Epidemiology, University of Ulm, Germany
,
I. Schmidtmann
2   Institute for Medical Statistics, University of Mainz, Germany
› Institutsangaben
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Publikationsdatum:
14. Februar 2018 (online)

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Abstract

Reliable record linkage is an essential component of the quality of population-based disease registration. Quality assessment of disease registries should, therefore, include quantitative approaches to describe the extent of record-linkage errors. The homonym and synonym rates have been proposed for this purpose. The homonym rate quantifies the proportion of distinct patients excluded from registration due to erroneous linkage with other patients. The synonym rate quantifies the proportion of unrecognized duplicate notifications on patients already registered in the registry. This paper provides an algebraic assessment of the determinants of both rates. It is shown how the homonym and the synonym rate are determined by the discriminating power provided by the personal identifiers and the record linkage procedure on the one hand and the specific circumstances of disease registration on the other hand, such as the number of patients in the registry or the number of notifications per case. All these factors should be taken into account when reporting and interpreting results of record-linkage studies, particularly if comparisons are made between the performance of record-linkage procedures in different environments.

Keywords

Disease Registry - Homonym Rate - Record Linkage - Synonym Rate
 

  • REFERENCES

  • 1 Newcombe HB. Handbook of Record Linkage. Methods for Health and Statistical Studies, Administration, and Business. Oxford: Oxford University Press; 1988
    Google Scholar
  • 2 Fellegi IP, Sunter AB. A theory for record linkage. J Am Stat Assoc 1969; 64: 1183-210.
    CrossrefPubMedGoogle Scholar
  • 3 Jaro M. Advances in record linkage methodology as applied to matching the 1985 census of Tampa, Florida. J Am Stat Assoc 1989; 84: 414-20.
    CrossrefPubMedGoogle Scholar
  • 4 Gill L, Goldacre M, Simmons H, Bettley G, Griffith M. Computerised linking of medical records: methodological guidelines. J Epidemiol Comm Health 1993; 47: 316-9.
    CrossrefPubMedGoogle Scholar
  • 5 Howe GR, Lindsay J. A generalized record linkage computer system for use in medical follow-up studies. Comp Biomed Res 1981; 14: 327-40.
    CrossrefPubMedGoogle Scholar
  • 6 Carpenter M, Fair ME. The November 15 1991 workshop on record linkage methodology. Health Reports 1992; 4: 84-8.
    PubMedGoogle Scholar
  • 7 Langley JD, Botha JL. Use of recording linkage techniques to maintain the Leicester Diabetes register. Comput Meth Progr Biomed 1994; 41: 287-95.
    CrossrefPubMedGoogle Scholar
  • 8 Clarke EA, Marrett LD, Kreiger N. Appendix 3 (c) Cancer registration in Ontario: a computer approach. In: Jensen OM, Parkin OM, MacLennan R, Muir CS, Skeet RG. eds Cancer Registration. Principles and Methods. IARC Scientific Publications No. 96 Lyon: International Agency for Research on Cancer; 1991: 246-57.
    Google Scholar
  • 9 Gruner G, Hartmann S, Meisner C, Pietsch-Breitfeld B, Selbmann HK. Forschungsvorhaben Epidemiologisches Krebsregister Baden-Württemberg (Technical Report, in German). Tübingen: Institut für Medizinische Informationsverarbeitung der Universität Tübingen; 1989
    Google Scholar
  • 10 Schmidtmann I, Michaelis J. Untersuchungen zum Record Linkage für das Krebsregister Rheinland-Pfalz (Technical Report, in German). Mainz: Tumorzentrum Rheinland-Pfalz; 1994
    Google Scholar
  • 11 Storm HH. Completeness of cancer registration in Denmark 1943-1966 and efficacy of record linkage procedures. Int J Epidemiol 1988; 17: 44-9.
    CrossrefPubMedGoogle Scholar