How can additional secondary data analysis of observational data enhance the generalisability of meta‐analytic evidence for local public health decision making?

This paper critically explores how survey and routinely collected data could aid in assessing the generalisability of public health evidence. We propose developing approaches that could be employed in understanding the relevance of public health evidence, and investigate ways of producing meta‐analytic estimates tailored to reflect local circumstances, based on analyses of secondary data. Currently, public health decision makers face challenges...