Title: Segmented regression analysis of interrupted time series studies in medication use research
Abstract: Journal of Clinical Pharmacy and TherapeuticsVolume 27, Issue 4 p. 299-309 Segmented regression analysis of interrupted time series studies in medication use research A. K. Wagner PharmD, MPH, A. K. Wagner PharmD, MPH Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USASearch for more papers by this authorS. B. Soumerai ScD, S. B. Soumerai ScD Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care andSearch for more papers by this authorF. Zhang MS, F. Zhang MS Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care andSearch for more papers by this authorD. Ross-Degnan ScD, D. Ross-Degnan ScD Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care andSearch for more papers by this author A. K. Wagner PharmD, MPH, A. K. Wagner PharmD, MPH Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USASearch for more papers by this authorS. B. Soumerai ScD, S. B. Soumerai ScD Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care andSearch for more papers by this authorF. Zhang MS, F. Zhang MS Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care andSearch for more papers by this authorD. Ross-Degnan ScD, D. Ross-Degnan ScD Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care andSearch for more papers by this author First published: 13 August 2002 https://doi.org/10.1046/j.1365-2710.2002.00430.xCitations: 1,871 Anita K. Wagner PharmD, MPH, Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, Boston, MA 02215, USA. Tel.: 617 509 9956; fax: 617 859 8112; e-mail: [email protected] Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat 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. Citing Literature Volume27, Issue4August 2002Pages 299-309 RelatedInformation