Journal article
Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: a review
SL Turner, A Karahalios, AB Forbes, M Taljaard, JM Grimshaw, AC Cheng, L Bero, JE McKenzie
Journal of Clinical Epidemiology | ELSEVIER SCIENCE INC | 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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Awarded by Canadian Institutes of Health Research
Funding Acknowledgements
This work was supported by the Australian National Health and Medical Research Council (NHMRC) project grant (1145273). S.L.T. is funded through an Australian Postgraduate Award administered through Monash University, Australia. J.E.M. is supported by an NHMRC Career Development Fellowship (1143429). A.C.C. is supported by an NHMRC Career Development Fellowship (1068732). J.M.G. holds a Canada Research Chair in Health Knowledge Uptake and Transfer and a Canadian Institute of Health Research (CIHR) Foundation grant (FDN 143269). The funders had no role in study design, decision to publish, or preparation of the manuscript.