Journal article
Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: Protocol for a review
SL Turner, A Karahalios, AB Forbes, M Taljaard, JM Grimshaw, AC Cheng, L Bero, JE McKenzie
BMJ Open | BMJ PUBLISHING GROUP | Published : 2019
Abstract
Introduction: An interrupted time series (ITS) design is an important observational design used to examine the effects of an intervention or exposure. This design has particular utility in public health where it may be impracticable or infeasible to use a randomised trial to evaluate health system-wide policies, or examine the impact of exposures (such as earthquakes). There have been relatively few studies examining the design characteristics and statistical methods used to analyse ITS designs. Further, there is a lack of guidance to inform the design and analysis of ITS studies. This is the first study in a larger project that aims to provide tools and guidance for researchers in the desig..
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Awarded by National Health and Medical Research Council
Funding Acknowledgements
SLT was funded through an Australian Postgraduate Award administered through Monash University, Australia. This project is funded by the Australian National Health and Medical Research Council (NHMRC) project grant (1145273). JEM is supported by an NHMRC Career Development Fellowship (1143429). ACC is supported by an NHMRC Career Development Fellowship (1068732). JMG holds a Canada Research Chair in Health Knowledge Uptake and Transfer. The funders had no role in study design, decision to publish, or preparation of the manuscript.