Advancing systematic-review methodology in exposure science for environmental health decision making

• Published in: Journal of exposure science & environmental epidemiology 2020-11, Vol.30 (6), p.906-916
• Main Authors: Cohen Hubal, Elaine A., Frank, Jessica J., Nachman, Rebecca, Angrish, Michelle, Deziel, Nicole C., Fry, Meridith, Tornero-Velez, Rogelio, Kraft, Andrew, Lavoie, Emma
• Format: Article
• Language: English
• Subjects: Best practice; Decision Making; Ecology; Environmental Health; Environmental medicine; Epidemiology; Exposure; Health aspects; Humans; Literature reviews; Management; Medical policy; Medical research; Medicine; Medicine & Public Health; Medicine, Experimental; Meta-synthesis; Methodology; Perspective; Public Health; Questions; Resource development; Reviews; Science; Social sciences; Synthesis; Systematic Reviews as Topic; Toxicology
• ISSN: 1559-0631; 1559-064X
• DOI: 10.1038/s41370-020-0236-0

Systematic review (SR) is a rigorous methodology applied to synthesize and evaluate a body of scientific evidence to answer a research or policy question. Effective use of systematic-review methodology enables use of research evidence by decision makers. In addition, as reliance on systematic reviews increases, the required standards for quality of evidence enhances the policy relevance of research. Authoritative guidance has been developed for use of SR to evaluate evidence in the fields of medicine, social science, environmental epidemiology, toxicology, as well as ecology and evolutionary biology. In these fields, SR is typically used to evaluate a cause–effect relationship, such as the effect of an intervention, procedure, therapy, or exposure on an outcome. However, SR is emerging to be a useful methodology to transparently review and integrate evidence for a wider range of scientifically informed decisions and actions across disciplines. As SR is being used more broadly, there is growing consensus for developing resources, guidelines, ontologies, and technology to make SR more efficient and transparent, especially for handling large amounts of diverse data being generated across multiple scientific disciplines. In this article, we advocate for advancing SR methodology as a best practice in the field of exposure science to synthesize exposure evidence and enhance the value of exposure studies. We discuss available standards and tools that can be applied and extended by exposure scientists and highlight early examples of SRs being developed to address exposure research questions. Finally, we invite the exposure science community to engage in further development of standards and guidance to grow application of SR in this field and expand the opportunities for exposure science to inform environment and public health decision making.