Literature DB >> 19745273

Contribution of record linkage to vital status determination in cancer patients.

Isabelle Fournel1, Michaël Schwarzinger, Christine Binquet, Eric Benzenine, Catherine Hill, Catherine Quantin.   

Abstract

To assess the performance of vital status determination by record linkage between a hospital database and the French national mortality database with anonymised data in order to adhere to French legislation. Hospital database of the Institut Gustave Roussy (IGR), the largest cancer centre in France, and the French mortality databases from 1998-2004 were used for this record linkage. A phonetic code adapted to French language was first applied to identifiers. The last name, maiden name, all first names and the date of birth were then each rendered anonymous using irreversible hash coding. Record linkage, using the probabilistic method developed by Jaro, was based on four fields: the last name, first given name, date of birth and code of birth place. Other variables were used for further automatic and manual validation. Linkage results were very satisfactory for the 10,089 patients included: sensitivity was 94.8% and specificity 99.5%. The positive and negative likelihood ratios were respectively 190 and 0.05. The main causes of discordances were erroneous or incomplete information such as unrecorded maiden name in the hospital database. Results were improved by adding manual validation to electronic matching: sensitivity rose to 97.2% and specificity to 99.4%. Record linkage using anonymised data applied to large scale hospital data is possible and has good validity. This method offers new prospects for large prognostic studies based on hospital data provided that the diagnosis date is systematically recorded in the hospital database.

Entities:  

Mesh:

Year:  2009        PMID: 19745273

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  6 in total

1.  Accuracy of a probabilistic record-linkage methodology used to track blood donors in the Mortality Information System database.

Authors:  Ligia Capuani; Ana Luiza Bierrenbach; Fatima Abreu; Pedro Losco Takecian; João Eduardo Ferreira; Ester Cerdeira Sabino
Journal:  Cad Saude Publica       Date:  2014-08       Impact factor: 1.632

2.  HERALD (health economics using routine anonymised linked data).

Authors:  Muhammad J Husain; Sinead Brophy; Steven Macey; Leila M Pinder; Mark D Atkinson; Roxanne Cooksey; Ceri J Phillips; Stefan Siebert
Journal:  BMC Med Inform Decis Mak       Date:  2012-03-29       Impact factor: 2.796

3.  Development of a database of health insurance claims: standardization of disease classifications and anonymous record linkage.

Authors:  Shinya Kimura; Toshihiko Sato; Shunya Ikeda; Mitsuhiko Noda; Takeo Nakayama
Journal:  J Epidemiol       Date:  2010-08-07       Impact factor: 3.211

Review 4.  Optimizing the Retrieval of the Vital Status of Cancer Patients for Health Data Warehouses by Using Open Government Data in France.

Authors:  Olivier Lauzanne; Jean-Sébastien Frenel; Mustapha Baziz; Mario Campone; Judith Raimbourg; François Bocquet
Journal:  Int J Environ Res Public Health       Date:  2022-04-02       Impact factor: 3.390

5.  Securizing data linkage in french public statistics.

Authors:  Maxence Guesdon; Eric Benzenine; Kamel Gadouche; Catherine Quantin
Journal:  BMC Med Inform Decis Mak       Date:  2016-10-06       Impact factor: 2.796

6.  Estimation of Occupational Exposure to Asbestos in Italy by the Linkage of Mesothelioma Registry (ReNaM) and National Insurance Archives. Methodology and Results.

Authors:  Chiara Airoldi; Daniela Ferrante; Lucia Miligi; Sara Piro; Giorgia Stoppa; Enrica Migliore; Elisabetta Chellini; Antonio Romanelli; Carlo Sciacchitano; Carolina Mensi; Domenica Cavone; Elisa Romeo; Stefania Massari; Alessandro Marinaccio; Corrado Magnani
Journal:  Int J Environ Res Public Health       Date:  2020-02-06       Impact factor: 3.390

  6 in total

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