call to adopt anti-racist approach for health equity
to improve our healthcare system, policymakers must adopt an anti-racist, decolonial approach to health data across the life course. this begins with collecting race- and gender-disaggregated data consistently across provinces and care settings, publishing that data transparently, and tying health system performance indicators to equity outcomes. it also requires training healthcare providers and decision-makers to understand how racism shapes patient experiences, trust and quality of care. without these foundations, inequities remain visible in principle but unaddressed in practice.
but data collection alone is not enough. an anti-racist, decolonial approach to data asks deeper questions about power and control. who decides what data is collected? who interprets the results? and who ultimately benefits from the information? too often, communities most affected by inequities are treated as sources of data rather than partners in decision-making.
in practice, this means involving black, indigenous, and other racialized patients, caregivers, community leaders and researchers in defining priority indicators across the healthcare system. it also means funding community-led health research and ensuring data governance structures give communities real decision-making power over how information is used. crucially, it means recognizing lived experience as legitimate evidence, rather than dismissing it as anecdotal.
implementing such a model does not require starting from scratch. national guidance already exists through the cihi. these guidelines address core implementation questions such as when and how to ask about race and identity, how to ensure informed consent, how to protect privacy, and how data should be governed and used to advance equity. the challenge is not the lack of direction, but that the cihi’s standards are voluntary and as such we have uneven adoption across provinces.