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亚裔美国人、夏威夷原住民和太平洋岛民数据的细分收集趋势:联邦健康调查中的机遇。

Trends in Collection of Disaggregated Asian American, Native Hawaiian, and Pacific Islander Data: Opportunities in Federal Health Surveys.

机构信息

Kevin H. Nguyen is with the Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI. Kaitlyn P. Lew is with the Center for Bioethics, Harvard Medical School, and the Center for Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA. Amal N. Trivedi is with the Department of Health Services, Policy, and Practice, Brown University School of Public Health, and Providence VA Medical Center, Providence, RI.

出版信息

Am J Public Health. 2022 Oct;112(10):1429-1435. doi: 10.2105/AJPH.2022.306969. Epub 2022 Aug 11.

DOI:10.2105/AJPH.2022.306969
PMID:35952328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9480465/
Abstract

Collection of data for Asian American, Native Hawaiian, and Pacific Islander (AANHPI) persons that is disaggregated by ethnic subgroup may identify disparities that are not apparent in aggregated data. Using content analysis, we identified national population surveys administered by the US Department of Health and Human Services (HHS) and evaluated trends in the collection of disaggregated AANHPI data between 2011 and 2021. In 2011, 4 of 15 surveys (27%) collected disaggregated data for Asian American, 2 of 15 surveys (13%) collected data on Native Hawaiian, and 2 of 15 surveys (13%) collected disaggregated data for Pacific Islander people. By 2019, 14 of 21 HHS-administered surveys (67%) collected disaggregated data for Asian American (6 subgroups), 67% collected data on Native Hawaiian, and 67% collected disaggregated data on Pacific Islander (3 subgroups) people. Collection of disaggregated AANHPI data in HHS-administered surveys increased from 2011 to 2021, but opportunities to expand collection and reporting remain. Strategies include outreach with community organizations, increased language assistance, and oversampling approaches. Increased availability and reporting of these data can inform health policies and mitigate disparities. (. 2022;112(10):1429-1435. https://doi.org/10.2105/AJPH.2022.306969).

摘要

收集亚裔、夏威夷原住民和太平洋岛民(AANHPI)人群的按族裔分组的数据,可能会发现聚合数据中不明显的差异。我们使用内容分析法,确定了美国卫生与公众服务部(HHS)管理的全国人口调查,并评估了 2011 年至 2021 年间按族裔分组的 AANHPI 数据收集趋势。2011 年,15 项调查中有 4 项(27%)收集了亚裔美国人的分类数据,15 项调查中有 2 项(13%)收集了夏威夷原住民的数据,15 项调查中有 2 项(13%)收集了太平洋岛民的分类数据。到 2019 年,在 HHS 管理的 21 项调查中有 14 项(67%)收集了亚裔美国人(6 个族裔群体)的分类数据,67%的调查收集了夏威夷原住民的数据,67%的调查收集了太平洋岛民(3 个族裔群体)的分类数据。HHS 管理的调查中按族裔分组的 AANHPI 数据收集从 2011 年到 2021 年有所增加,但扩大收集和报告的机会仍然存在。策略包括与社区组织的外联、增加语言援助和过采样方法。这些数据的可用性和报告的增加可以为健康政策提供信息,并减轻差异。(2022;112(10):1429-1435。https://doi.org/10.2105/AJPH.2022.306969)。

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