A second list of 149 drugs with REMS was obtained from the FDA and search volume as collected for each of the drugs. We fit a generalized linear model to the data starting 1 year before and ending 1 year after the initial REMS approval date. The model included a dummy variable indicating if the month occurred before or after the initial approval of the REMS. The interaction between this variable and the time covariate was used to determine if the REMS had any impact on interest as measured by search volume.