Will more choices for HIV prevention technologies increase uptake? Modeling predicted health services use from stated preferences
Please join us …
When: Tuesday, April 5, 2022, 12–1 p.m.
Where: Join Zoom Meeting https://us06web.zoom.us/j/86044633057, Meeting ID: 860 4463 3057. Meeting password: 112233
Who: Ahmed Bayoumi, MD, MSc, FRCPC; Professor, Department of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto; Scientist, MAP Centre for Urban Health Solutions, St. Michael’s Hospital; Fondation Baxter and Alma Ricard Chair in Inner City Health, St. Michael’s Hospital and University of Toronto; Senior Adjunct Scientist, ICES
Topic: Will more choices for HIV prevention technologies increase uptake? Modeling predicted health services use from stated preferences
Learning objectives
- Understand the theory underlying discrete choice experiments and how this facilitates modeling uptake.
- Review a worked example using HIV prevention technologies.
Ahmed Bayoumi