Interrupted time series is the strongest, quasiexperimental design to evaluate longitudinal effects of such timedelimited interventions. Segmented regression analysis of interrupted time series data allows us to assess, in statistical terms, how much an intervention changed an outcome of interest, immediately and over time; instantly or with delay; transiently or longterm; and whether factors other than the intervention could explain the change.