Segmented regression analysis of interrupted time series studies in medication use research

Author(s)
Wagner, A. K., Soumerai, S. B., Zhang, F. and Ross-Degnan, D.
Publication language
English
Pages
11pp
Date published
01 Jan 2002
Publisher
Journal of Clinical Pharmacy and Therapeutics
Type
Articles
Keywords
Research methodology
Link
http://isites.harvard.edu/fs/docs/icb.topic79832.files/L06_Program_Evaluation_2/…

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.