Journal article
Methodological systematic review recommends improvements to conduct and reporting when meta-analyzing interrupted time series studies
E Korevaar, A Karahalios, SL Turner, AB Forbes, M Taljaard, AC Cheng, JM Grimshaw, L Bero, JE McKenzie
Journal of Clinical Epidemiology | Published : 2022
Abstract
Objectives: Interrupted Time Series (ITS) are a type of nonrandomized design commonly used to evaluate public health policy interventions, and the impact of exposures, at the population level. Meta-analysis may be used to combine results from ITS across studies (in the context of systematic reviews) or across sites within the same study. We aimed to examine the statistical approaches, methods, and completeness of reporting in reviews that meta-analyze results from ITS. Study Design and Settings: Eight electronic databases were searched to identify reviews (published 2000–2019) that meta-analyzed at least two ITS. Characteristics of the included reviews, the statistical methods used to analyz..
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Awarded by National Health and Medical Research Council
Funding Acknowledgements
E.K. is supported through an Australian Government Re-search Training Program (RTP) Scholarship administered by Monash University, Australia. J.E.M. supported by an NHMRC Career Devel-opment Fellowship (1143429) . The project is funded by the Australian National Health and Medical Research Council (NHMRC) project grant GNT1145273, "How should we analyse, synthesize, and interpret evi-dence from interrupted time series studies? Making the best use of avail-able evidence", McKenzie JE, Forbes A, Taljaard M, Cheng A, Grimshaw J, Bero L, Karahalios A. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.