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埃德蒙顿基于种族的数据表:一种通过收集和使用分类的、基于种族的数据来应对系统性种族主义的市政方法。

Edmonton's Race-based Data Table: A municipal approach to addressing systemic racism through the collection and use of disaggregated, race-based data.

作者信息

Anaduaka Uchechi Shirley, Ferdinands Alexa, Knoop Janelle, Barber Sarah, Mayan Maria J

机构信息

School of Public Health, University of Alberta, Edmonton, AB, Canada.

Faculty of Science and Technology, Athabasca University, Athabasca, AB, Canada.

出版信息

Can J Public Health. 2024 Aug;115(4):577-584. doi: 10.17269/s41997-024-00897-3. Epub 2024 Jun 5.

Abstract

Recent events, such as the COVID-19 pandemic, have drawn nationwide attention to systemic racism as a serious threat to public health in Canada. One promising approach to address such racism is through developing and implementing standardized procedures for collecting and using disaggregated, race-based data. In this commentary, we summarize why this approach is necessary to address systemic racism in Canada, and highlight municipal actions being taken in Edmonton, Alberta, to move this approach forward. In 2021, a Race-based Data Table, comprising 24 institutions and organizations affiliated with health, education, and policing systems, was formed in Edmonton. It aimed to engage practitioners, systems representatives, academics, and community members in collective advocacy around accessing race-based data to better understand and address disparate health outcomes associated with COVID-19 for racialized communities. Further, the Table intends to co-create a charter and toolkit outlining best practices for ethical, race-based data collection and use with local stakeholders and knowledge users. In documenting the beginning stages of the Table, and in evaluating its ongoing progress, we contribute to national conversations regarding the need for government institutions and other organizations to consistently collect and use race-based data as a means of increasing transparency and accountability in their actions.

摘要

近期发生的一些事件,如新冠疫情,已使系统性种族主义作为加拿大公共卫生的严重威胁引起了全国关注。应对此类种族主义的一种有前景的方法是制定并实施标准化程序,用于收集和使用按种族分类的数据。在这篇评论文章中,我们总结了为何这种方法对于应对加拿大的系统性种族主义是必要的,并强调了艾伯塔省埃德蒙顿市为推进这一方法所采取的市政行动。2021年,埃德蒙顿市成立了一个基于种族的数据表,由24个与卫生、教育和治安系统相关的机构和组织组成。其目的是让从业者、系统代表、学者和社区成员共同参与倡导获取基于种族的数据,以便更好地理解和解决与新冠疫情相关的、针对种族化社区的不同健康结果问题。此外,该数据表打算与当地利益相关者和知识使用者共同制定一份宪章和工具包,概述基于种族的道德数据收集和使用的最佳做法。在记录该数据表的初始阶段并评估其持续进展的过程中,我们为关于政府机构和其他组织需要持续收集和使用基于种族的数据以提高其行动透明度和问责制的全国性讨论做出了贡献。

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