Health equity is achieved when everyone, regardless of sex, gender, income, race or other socio-demographic characteristics, has the fair opportunity to reach their optimal health. In Canada, differences across population subgroups (or inequalities) are significant for a range of health care indicators and are generally persisting or worsening over time. Health systems with a commitment to health equity recognize that measurement matters. The collection, measurement and reporting of socio-demographic data enables health systems to identify inequalities in care across populations, inform meaningful strategies and monitor progress in improving care for all patients.
Explore information on health equity, including reports, data tables, methods and other key resources.
Describes data to identify hospital patients experiencing homelessness and the trend in hospitalizations with recorded homelessness.
This page provides resources and a brief introduction on how to plan your analysis, analyze your data and report your findings when measuring health inequalities. The reporting is on equity stratifiers such as income, age, education, gender, geographic location, sex at birth, racialized groups and Indigenous identity.
Key findings from the Involvement in Decision-Making and Treatment Options patient experience measure, highlighting the importance of socio-demographic information.
In this episode of the CHIP, host Avis Favaro speaks with Dr. Chika Stacy Oriuwa about the value of race-based data and the importance of Black representation in health care in Canada.
In this episode of the CHIP, we speak with Dr. Katharine Smart about health care in rural and remote Canada.
Race-based and Indigenous identity data is essential for measuring health inequalities and disparities, and for identifying inequities that stem from racism, bias and discrimination.
