Sharing precision medicine data with private industry: Outcomes of a citizens’ jury in Singapore

Author:

Ballantyne Angela12,Lysaght Tamra1ORCID,Toh Hui Jin1ORCID,Ong Serene1ORCID,Lau Andrew3,Owen Schaefer G1ORCID,Xafis Vicki1ORCID,Tai E Shyong4ORCID,Newson Ainsley J5ORCID,Carter Stacy6ORCID,Degeling Chris6ORCID,Braunack-Mayer Annette6ORCID

Affiliation:

1. Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

2. Department of Primary Health Care and General Practice, University of Otago, Wellington, New Zealand

3. Projective Insights Consultants, Singapore

4. Division of Endocrinology, University Medicine Cluster, National University Hospital, Singapore

5. Sydney School of Public Health, The University of Sydney, Faculty of Medicine and Health, Sydney, NSW, Australia

6. Australian Centre for Health Engagement, Evidence and Values, School of Health and Society, University of Wollongong, Wollongong, New South Wales, Australia

Abstract

Precision medicine is an emerging approach to treatment and disease prevention that relies on linkages between very large datasets of health information that is shared amongst researchers and health professionals. While studies suggest broad support for sharing precision medicine data with researchers at publicly funded institutions, there is reluctance to share health information with private industry for research and development. As the private sector is likely to play an important role in generating public benefits from precision medicine initiatives, it is important to understand what the concerns are and how they might be mitigated. This study reports outcomes of a deliberative method of citizen engagement in Singapore that asked whether sharing precision medicine data with private industry would be permissible, and if so, under what circumstances. Findings from this citizens’ jury suggest sharing with industry would be permissible under certain conditions that are set out in nine recommendations. Implications of the recommendations and their underlying assumptions for policy decision makers are discussed. This study aligns with prior international studies which found conditional acceptance for data sharing with private industry, a public benefit requirement, specific reluctance to share with insurance companies and an emphasis on accountability and transparency to demonstrate trustworthiness. However, our results differ from prior studies in that opt-in consent did not dominate the deliberations as jurors were able to set it aside as an assumed prerequisite for participation in a precision medicine programme.

Funder

Ministry of Education, Singapore

Ministry of Health, Singapore

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems and Management,Computer Science Applications,Communication,Information Systems

Reference61 articles.

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