The ultimate goal of HIV prevention interventions is to reduce the spr
ead of HIV; however, the effectiveness of these programs is seldom ass
essed directly. Although direct measurement of an intervention's impac
t via HIV seroincidence monitoring is usually unfeasible, mathematical
models can be used to estimate the number of infections averted by th
e intervention. This article describes three model-based summary measu
res of sexually transmitted HIV risk and discusses their relevance to
HIV program evaluation in general and economic efficiency analyses in
particular The calculation of these measures is demonstrated with an i
llustrative application to previously published data from an HIV preve
ntion intervention for gay men.