Literature DB >> 15742989

Which are the best identifiers for record linkage?

Catherine Quantin1, Christine Binquet, Karima Bourquard, Ronny Pattisina, Béatrice Gouyon-Cornet, Cyril Ferdynus, Jean-Bernard Gouyon, Allaert François-André.   

Abstract

As a linkage using less informative identifiers could lead to linkage errors, it is essential to quantify the information associated to each identifier. The aim of this study was to estimate the discriminating power of different identifiers susceptible to be used in a record linkage process. This work showed the interest of three identifiers when linking data concerning a same patient using an automatic procedure based on the method proposed by Jaro; the date of birth, the first and the last names seemed to be the more appropriate identifiers. Including a poorly discriminating identifier like gender did not improve the results. Moreover, adding a second christian name, often missing, increased linkage errors. On the contrary, it seemed that using a phonetic treatment adapted to the French language could improve the results of linkage in comparison to the Soundex. However, whatever, the method used it seems necessary to improve the quality of identifier collection as it could greatly influence linkage results.

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Year:  2004        PMID: 15742989     DOI: 10.1080/14639230400005974

Source DB:  PubMed          Journal:  Med Inform Internet Med        ISSN: 1463-9238


  8 in total

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Authors:  Miranda Tromp; Nora Méray; Anita C J Ravelli; Johannes B Reitsma; Gouke J Bonsel
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

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Authors:  Susan C Weber; Henry Lowe; Amar Das; Todd Ferris
Journal:  J Am Med Inform Assoc       Date:  2012-02-01       Impact factor: 4.497

4.  Mammographic density and breast cancer risk in White and African American Women.

Authors:  Hilda Razzaghi; Melissa A Troester; Gretchen L Gierach; Andrew F Olshan; Bonnie C Yankaskas; Robert C Millikan
Journal:  Breast Cancer Res Treat       Date:  2012-08-03       Impact factor: 4.872

5.  Association between mammographic density and basal-like and luminal A breast cancer subtypes.

Authors:  Hilda Razzaghi; Melissa A Troester; Gretchen L Gierach; Andrew F Olshan; Bonnie C Yankaskas; Robert C Millikan
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6.  Using discharge abstracts to evaluate a regional perinatal network: assessment of the linkage procedure of anonymous data.

Authors:  Catherine Quantin; Béatrice Gouyon; Paul Avillach; Cyril Ferdynus; Paul Sagot; Jean-Bernard Gouyon
Journal:  Int J Telemed Appl       Date:  2008-12-23

7.  Validation of a hierarchical deterministic record-linkage algorithm using data from 2 different cohorts of human immunodeficiency virus-infected persons and mortality databases in Brazil.

Authors:  Antonio G Pacheco; Valeria Saraceni; Suely H Tuboi; Lawrence H Moulton; Richard E Chaisson; Solange C Cavalcante; Betina Durovni; José C Faulhaber; Jonathan E Golub; Bonnie King; Mauro Schechter; Lee H Harrison
Journal:  Am J Epidemiol       Date:  2008-10-09       Impact factor: 4.897

8.  Record linkage to correct under-ascertainment of cancers in HIV cohorts: The Sinikithemba HIV clinic linkage project.

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  8 in total

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