SUMMARY
Interrupted time series design is the strongest,
quasi-experimental approach for evaluating longitudinal
effects of interventions. Segmented
regression analysis is a powerful statistical
method for estimating intervention effects in
interrupted time series studies. In this paper, we
show how segmented regression analysis can be
used to evaluate policy and educational interventions
intended to improve the quality of
medication use and ⁄ or contain costs.