Echo-Hawk Abigail, Locklear Sofia, McNally Sarah, Baker Lannesse, Gurule Sacena
Executive vice president of the Seattle Indian Health Board and director of the Urban Indian Health Institute.
Assistant professor of sociology at the University of Toronto Mississauga in Ontario, Canada.
AMA J Ethics. 2025 Jan 1;27(1):E44-50. doi: 10.1001/amajethics.2025.44.
Data quality for and about American Indian/Alaska Native (AI/AN) people is undermined by deeply entrenched, colonial practices that have become standard in US federal data systems. This article draws on cases of maternal mortality and COVID-19 to demonstrate the ethical and clinical need for inclusive, diverse, and accurate data when researching AI/AN health trends. This article further argues that epidemiologists specifically must challenge implicit bias, question methods and practices, and recognize colonial, racist reporting practices about AI/AN people that have long undermined data collection, analytical, and dissemination practices that are fundamental to epidemiological research.
美国联邦数据系统中根深蒂固的殖民做法已成为标准，这损害了美国印第安人/阿拉斯加原住民（AI/AN）人群的数据质量以及关于他们的数据质量。本文以孕产妇死亡率和新冠疫情的案例为例，说明在研究AI/AN人群健康趋势时，获取包容性、多样性和准确数据在伦理和临床方面的必要性。本文进一步指出，流行病学家尤其必须挑战隐性偏见，质疑方法和做法，并认识到长期以来那些破坏流行病学研究基本的数据收集、分析和传播做法的、关于AI/AN人群的殖民主义、种族主义报告做法。
