Preferences for attributes of an artificial intelligence-based risk assessment tool for HIV and sexually transmitted infections: a discrete choice experiment
Participants were more likely to use MySTIRisk if it was free, highly accurate, and could send pathology request forms. Tailoring the tool to distinct user segments could enhance its uptake and effectiveness in promoting early detection and prevention of HIV and STIs.
Authors
- Tiffany Renee Phillips (ORCID: https://orcid.org/0000-0001-6920-7710)
- Eric P. F. Chow (ORCID: https://orcid.org/0000-0003-1766-0657)
- Jason J. Ong (ORCID: https://orcid.org/0000-0001-5784-7403)
- Nyi Nyi Soe (ORCID: https://orcid.org/0009-0001-4554-3549)
- Phyu Mon Latt (ORCID: https://orcid.org/0000-0001-5880-5731)
- Christopher Kincaid Fairley (ORCID: https://orcid.org/0000-0001-9081-1664)
- Xianglong Xu (ORCID: https://orcid.org/0000-0003-1873-4734)
- Alicia J. King (ORCID: https://orcid.org/0000-0002-9430-9804)
- David Lee (ORCID: https://orcid.org/0009-0006-5423-4525)
- Lei Zhang (ORCID: https://orcid.org/0000-0002-3372-6321)
Institutions
- University of London (GB)
- The University of Melbourne (AU)
- London School of Hygiene & Tropical Medicine (GB)
- Nanjing Children's Hospital (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Melbourne Sexual Health Centre (AU)
- Monash Health (AU)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Alfred Health (AU)
- Monash University (AU)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Public Health
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1186/s12889-024-20688-2
- Citations
- 3
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Monash University
- Medical Research Council
- National Health and Medical Research Council