Improving health worldwide will require rigorous quantification of population-level trends in health status. However, global-level surveys are not available, forcing researchers to rely on fragmentary country-specific data of varying quality. Using a Bayesian model that systematically combines disparate data can make country-, region- and global-level estimates of time trends in important health indicators as this publication has shown.