DISCUSSION
EHE
Using data from the M‐cubed randomized control trial, we assessed factors associated with ordering an HIV self‐test kit and found that accessing free HIV self‐test kits via a mobile phone app can reduce baseline disparities in testing by age, income and number of sexual partners while overcoming barriers of technology use and medical mistrust by different racial and ethnic groups. This is important, as testing is one of the four strategies of the EHE initiative, with a focus on expanding testing to reach populations most vulnerable to HIV acquisition [Participants in this study had high rates of HIV testing in concordance with CDC recommendations [Our study found that plans to test for HIV in the next 3 months were associated with ordering kits both in bivariate analyses and in our final model. Those who planned to get tested for HIV in the next 3 months at baseline were more than 1.5 times more likely to order a kit than those who planned to get tested for HIV in the next 4–12 months. These findings are consistent with previous literature on the significant association between intentions and regular HIV testing [Distributing HIV self‐test kits aims to remove barriers to physical access, which may help mitigate structural factors that are known to drive inequities in the use of HIV prevention and sexual health services [This study had several limitations. Although the study oversampled from minority race and ethnic populations, the sample was skewed towards MSM with higher education and high baseline testing rates. The study also only sampled from three large, urban US cities thus missing out on important potential differences in behaviours in urban and rural settings. These selection biases impair the external generalizability of the study, as risk factors and HIV self‐test ordering behaviours may differ by populations. Second, baseline survey data used in this study relied on self‐report, so misclassification of the predictors may have occurred due to social desirability bias for certain variables like testing history and number of sexual partners. Third, ordering a kit does not necessarily mean that a participant used the test or used it properly. Test kit use has been shown to vary in similar studies anywhere from 52% to 90% [The CDC recently updated its recommendations for HIV screening in MSM [