Literature DB >> 27178751

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

Sean M Randall1, Anna M Ferrante2, James H Boyd2, Adrian P Brown2, James B Semmens2.   

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.
© The Author(s) 2016.

Keywords:  algorithms; data linkage; evaluation studies; medical record linkage; privacy

Mesh:

Year:  2016        PMID: 27178751     DOI: 10.1177/1833358316647587

Source DB:  PubMed          Journal:  Health Inf Manag        ISSN: 1833-3583            Impact factor:   3.185


  3 in total

1.  Linkage of Australian national registry data using a statistical linkage key.

Authors:  Tim G Coulson; Michael Bailey; Chris Reid; Gil Shardey; Jenni Williams-Spence; Sue Huckson; Shaila Chavan; David Pilcher
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-02       Impact factor: 2.796

2.  Population Data Centre Profiles: Centre for Data Linkage.

Authors:  J H Boyd; S M Randall; A P Brown; M Maller; D Botes; M Gillies; A Ferrante
Journal:  Int J Popul Data Sci       Date:  2020-03-11

3.  Privacy preserving linkage using multiple match-keys.

Authors:  S M Randall; A P Brown; A M Ferrante; J H Boyd
Journal:  Int J Popul Data Sci       Date:  2019-05-23
  3 in total

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