This interactive model allows users to explore how changes in PrEP coverage and viral suppression rates can affect new HIV diagnoses and overall healthcare costs.
Policy changes that reduce funding for HIV treatment and prevention programs, restrict healthcare coverage and access, or increase patient out-of-pockets costs can result in thousands of avoidable HIV infections and billions in additional healthcare costs over the next decade.
Alternatively, policy changes that maintain or increase funding for HIV treatment and prevention programs, expand healthcare coverage and access, or eliminate patient out-of-pocket costs can result in significant reductions in HIV infections and lower healthcare costs.
← Slide to decrease or increase PrEP Coverage 1 →
1. PrEP coverage is the number of persons prescribed PrEP divided by the estimated number of persons who had indications for PrEP. The currently level of PrEP coverage is 27% for the next decade. This model uses that as the baseline for this analysis.
2. For infections over a decade.