Journal article

Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: a review.

Simon L Turner, Amalia Karahalios, Andrew B Forbes, Monica Taljaard, Jeremy M Grimshaw, Allen C Cheng, Lisa Bero, Joanne E McKenzie

J Clin Epidemiol | Published : 2020

Abstract

OBJECTIVES: Interrupted time series (ITS) designs are frequently used in public health to examine whether an intervention or exposure has influenced health outcomes. Few reviews have been undertaken to examine the design characteristics, statistical methods, and completeness of reporting of published ITS studies. STUDY DESIGN AND SETTING: We used stratified random sampling to identify 200 ITS studies that evaluated public health interventions or exposures from PubMed (2013-2017). Study characteristics, details of statistical models and estimation methods used, effect metrics, and parameter estimates were extracted. From the 200 studies, 230 time series were examined. RESULTS: Common statisti..

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