夏威夷国民健康保险协会数据分解法令:通过全州种族和族裔标准防止数据种族灭绝。

Q4 Medicine
Joshua Quint, Chantelle Matagi, Joseph Keawe'aimoku Kaholokula
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引用次数: 0

摘要

夏威夷州普遍采用联邦种族和族裔数据标准。当使用多种族类别时,夏威夷原住民受到的影响尤为严重,因为他们比任何其他群体都更有可能认同另一个种族或族裔群体。这些数据公约助长了一种被称为数据种族灭绝的现象,即有系统地从人口数据中删除土著和边缘化民族。虽然数据聚合可能是无意的,也可能是由于实际或感知的障碍,但必须克服数据分解的障碍,以促进健康公平。在这一呼吁中,通过对种族和族裔数据的分类,更多地关注健康的相关社会决定因素,审查了数据标准的历史,讨论了汇总的影响,并提供了建议的分类策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Hawai'i NHPI Data Disaggregation Imperative: Preventing Data Genocide Through Statewide Race and Ethnicity Standards.

Federal race and ethnicity data standards are commonly applied within the state of Hawai'i. When a multiracial category is used, Native Hawaiians are disproportionately affected since they are more likely than any other group to identify with an additional race or ethnicity group. These data conventions contribute to a phenomenon known as data genocide - the systematic erasure of Indigenous and marginalized peoples from population data. While data aggregation may be unintentional or due to real or perceived barriers, the obstacles to disaggregating data must be overcome to advance health equity. In this call for greater attention to relevant social determinants of health through disaggregation of race and ethnicity data, the history of data standards is reviewed, the implications of aggregation are discussed, and recommended disaggregation strategies are provided.

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