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Trust, Identity, Privacy, and Security Considerations for Designing a Peer Data Sharing Platform Between People Living With HIV

Lookup NU author(s): Professor Abi DurrantORCiD


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Resulting from treatment advances, the Human Immunodeficiency Virus (HIV) is now a long-term condition, and digital solutions are being developed to support people living with HIV in self-management. Sharing their health data with their peers may support self-management, but the trust, identity, privacy and security (TIPS) considerations of people living with HIV remain underexplored. Working with a peer researcher who is expert in the lived experience of HIV, we interviewed 26 people living with HIV in the United Kingdom (UK) to investigate how to design a peer data sharing platform. We also conducted rating activities with participants to capture their attitudes towards sharing personal data. Our mixed methods study showed that participants were highly sophisticated in their understanding of trust and in their requirements for robust privacy and security. They indicated willingness to share digital identity attributes, including gender, age, medical history, health and well-being data, but not details that could reveal their personal identity. Participants called for TIPS measures to foster and to sustain responsible data sharing within their community. These findings can inform the development of trustworthy and secure digital platforms that enable people living with HIV to share data with their peers and provide insights for researchers who wish to facilitate data sharing in other communities with stigmatised health conditions.

Publication metadata

Author(s): Bussone A, Kasadha B, Stumpf S, Durrant AC, Tariq S, Gibbs J, Lloyd KC, Bird J

Publication type: Article

Publication status: Published

Journal: Proceedings of the ACM on Human-Computer Interaction

Year: 2020

Volume: 4

Pages: 1-27

Print publication date: 17/10/2020

Online publication date: 17/10/2020

Acceptance date: 28/08/2020

ISSN (electronic): 2573-0142

Publisher: ACM


DOI: 10.1145/3415244


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