<p>Canada’s universal healthcare system aspires to provide equitable care for all citizens, yet persistent health disparities among Indigenous, Black, and other racialized communities reveal significant gaps in service and outcomes. This commentary explores how race-based data collection could address these inequities by identifying at-risk populations, informing targeted interventions, and improving accountability within healthcare systems. The discussion includes an overview of existing challenges, such as mistrust stemming from historical research abuses, varied provincial approaches, and ethical complexities related to privacy and data sovereignty. Examples from within Canada highlight the effectiveness of standardized data collection policies, while international lessons—particularly from the United Kingdom’s incentivized data reporting and the United States’ mandated approaches—underscore the importance of consistent data-gathering and careful monitoring. The commentary emphasizes that community engagement and leadership are essential to the development of culturally safe practices, and that legal and ethical frameworks must safeguard data from commodification or other forms of misuse. By integrating race-based data collection into policy reforms, embracing Indigenous data governance principles, providing mandatory training for health providers, and establishing robust monitoring systems, Canada can advance meaningful strategies to reduce health disparities. This approach promotes a more equitable healthcare environment, ensuring the principle of universal coverage benefits all communities.</p>

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Advancing health equity within the Canadian health system

  • Abimbola K. Saka,
  • Mohamed Bella Jalloh,
  • Ijeoma Ozurigbo,
  • Notisha Massaquoi

摘要

Canada’s universal healthcare system aspires to provide equitable care for all citizens, yet persistent health disparities among Indigenous, Black, and other racialized communities reveal significant gaps in service and outcomes. This commentary explores how race-based data collection could address these inequities by identifying at-risk populations, informing targeted interventions, and improving accountability within healthcare systems. The discussion includes an overview of existing challenges, such as mistrust stemming from historical research abuses, varied provincial approaches, and ethical complexities related to privacy and data sovereignty. Examples from within Canada highlight the effectiveness of standardized data collection policies, while international lessons—particularly from the United Kingdom’s incentivized data reporting and the United States’ mandated approaches—underscore the importance of consistent data-gathering and careful monitoring. The commentary emphasizes that community engagement and leadership are essential to the development of culturally safe practices, and that legal and ethical frameworks must safeguard data from commodification or other forms of misuse. By integrating race-based data collection into policy reforms, embracing Indigenous data governance principles, providing mandatory training for health providers, and establishing robust monitoring systems, Canada can advance meaningful strategies to reduce health disparities. This approach promotes a more equitable healthcare environment, ensuring the principle of universal coverage benefits all communities.