HOW SHOULD WE ANALYSE, SYNTHESIZE, AND INTERPRET EVIDENCE FROM INTERRUPTED TIME SERIES STUDIES? MAKING THE BEST USE OF AVAILABLE EVIDENCE
Grant number: 1145273 | Funding period: 2018 - 2020
Interrupted time series (ITS) studies are frequently used to evaluate whether policy interventions are successful. The findings from these studies are often collated into systematic reviews, which are used to inform healthcare decisions by clinicians, consumers and policy makers. It is not known how the statistical methods, which underpin the findings from ITS studies, perform. This proposal will evaluate the statistical methods and provide guidance on how to analyse and interpret ITS studies.
Related publications (3)
Creating effective interrupted time series graphs: Review and recommendations.
Simon L Turner, Amalia Karahalios, Andrew B Forbes, Monica Taljaard, Jeremy M Grimshaw, Elizabeth Korevaar, Allen C Cheng, Lisa Bero, Joanne E McKenzie
INTRODUCTION: Interrupted Time Series (ITS) studies may be used to assess the impact of an interruption, such as an intervention o..
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
OBJECTIVES: Interrupted time series (ITS) designs are frequently used in public health to examine whether an intervention or expos..
Methods used to meta-analyse results from interrupted time series studies: A methodological systematic review protocol.
Elizabeth Korevaar, Amalia Karahalios, Andrew B Forbes, Simon L Turner, Steve McDonald, Monica Taljaard, Jeremy M Grimshaw, Allen C Cheng, Lisa Bero, Joanne E McKenzie
Background: Systematic reviews are used to inform healthcare decision making. In reviews that aim to examine the effects of organi..