HIV disproportionately impacts individuals based on intersecting categories (e.g . gender, race/ethnicity, behavior), with groups most at-risk deemed priority populations . Using weighted effects coding to account for differential group sizes, this study used multilevel mixed logistic models to investigate differences in eHealth use and willingness to use eHealth for HIV-related information among priority populations . Compared to the sample average, Black men who had sex with women were less likely to use all technologies except cellphones with text-messaging and less likely to be willing to use computers and tablets . White and Hispanic men who had sex with men were more likely to use all technologies . No significant differences existed for use or willingness to use cellphones with text-messaging . Future research should consider approaches used here to account for equity and multiple intersecting social identities; practitioners may use these findings or similar local data to ensure fit between eHealth programs and priority populations.
Index: Disparities, HIV, Intersectionality, Technology, eHealth