Sex and age disaggregated data are crucial to advancing health and socioeconomic equities and should be the standard of practice in health research. This self-paced, interactive module is part of the Health Researcher’s Toolkit. It shows why disaggregating data by sex and age is important, potential problems that can occur when they are not considered, and how some conditions and treatments differ by sex and age. Developed by WCH scientist Robin Mason for both novice and more experienced researchers, the module is both engaging and informative.
Thanks to generous funding from Ontario SPOR SUPPORT Unit, supported by the Canadian Institutes of Health Research, the Province of Ontario, and partner Ontario hospital foundations and institutes.