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    Limited privacy protection and poor sensitivity: Is it time to move on from the statistical linkage key-581?

    Access Status
    Fulltext not available
    Authors
    Randall, Sean
    Ferrante, Anna
    Boyd, James
    Brown, Adrian
    Semmens, James
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Randall, S. and Ferrante, A. and Boyd, J. and Brown, A. and Semmens, J. 2016. Limited privacy protection and poor sensitivity: Is it time to move on from the statistical linkage key-581?. Health Information Management Journal. 45 (2): pp. 71-79.
    Source Title
    Health Information Management Journal
    DOI
    10.1177/1833358316647587
    School
    Centre for Population Health Research
    URI
    http://hdl.handle.net/20.500.11937/26642
    Collection
    • Curtin Research Publications
    Abstract

    Background: The statistical linkage key (SLK-581) is a common tool for record linkage in Australia, due to its ability to provide some privacy protection. However, newer privacy-preserving approaches may provide greater privacy protection, while allowing high-quality linkage. Objective: To evaluate the standard SLK-581, encrypted SLK-581 and a newer privacy-preserving approach using Bloom filters, in terms of both privacy and linkage quality. Method: Linkage quality was compared by conducting linkages on Australian health datasets using these three techniques and examining results. Privacy was compared qualitatively in relation to a series of scenarios where privacy breaches may occur. Results: The Bloom filter technique offered greater privacy protection and linkage quality compared to the SLK-based method commonly used in Australia. Conclusion: The adoption of new privacy-preserving methods would allow both greater confidence in research results, while significantly improving privacy protection.

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