Sharing administrative health data with private industry: a report on two citizens' juries

Jackie Street, Belinda Fabrianesi, Carolyn Adams, Felicity Flack, Merran Smith, Stacy M. Carter, Sean Lybrand, Anthony Brown, Serena Joyner, Judy Mullan, Luise Lago, Lucy Carolan, Katie Irvine, Coralie Wales, Annette J. Braunack-Mayer

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
15 Downloads (Pure)


Background: There is good evidence of both community support for sharing public sector administrative health data in the public interest and concern about data security, misuse and loss of control over health information, particularly if private companies are the data recipients. To date there is little research describing the perspectives of well-informed community members on private sector use of public health data and, particularly, on the conditions under which that use might be justified.

Methods: Two citizens’ juries were held in February 2020 in two locations close to Sydney, Australia. Jurors considered the question: 'Under what circumstance is it permissible for governments to share health data with private industry for research and development?'

Results: All jurors, bar one, in principle supported sharing government administrative health data with private industry for research and development. The support was conditional and the juries’ recommendations specifying these conditions related closely to the concerns they identified in deliberation.

Conclusion: The outcomes of the deliberative processes suggest that well-informed Australian citizens are willing to accept sharing their administrative health data, including with private industry, providing the intended purpose is clearly of public benefit, sharing occurs responsibly in a framework of accountability and the data is securely held.

Patient and Public Contribution: The design of the jury was guided by an Advisory Group including representatives from a peak consumer group. The jurors themselves were selected to be descriptively representative of their communities and with independent facilitation wrote the recommendations.
Original languageEnglish
Pages (from-to)1337-1348
Number of pages12
JournalHealth Expectations
Issue number4
Early online date28 May 2021
Publication statusPublished - Aug 2021

Bibliographical note

Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • big data
  • community participation
  • consent
  • deliberative methods
  • health data
  • private sector


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