No Equity without Data Equity: Data Reporting Gaps for Native Hawaiians and Pacific Islanders as Structural Racism.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Brittany N Morey, Richard Calvin Chang, Karla Blessing Thomas, 'Alisi Tulua, Corina Penaia, Vananh D Tran, Nicholas Pierson, John C Greer, Malani Bydalek, Ninez Ponce
{"title":"No Equity without Data Equity: Data Reporting Gaps for Native Hawaiians and Pacific Islanders as Structural Racism.","authors":"Brittany N Morey, Richard Calvin Chang, Karla Blessing Thomas, 'Alisi Tulua, Corina Penaia, Vananh D Tran, Nicholas Pierson, John C Greer, Malani Bydalek, Ninez Ponce","doi":"10.1215/03616878-9517177","DOIUrl":null,"url":null,"abstract":"<p><p>Data on the health and social determinants for Native Hawaiians and Pacific Islanders (NHPIs) in the United States are hidden, because data are often not collected or are reported in aggregate with other racial/ethnic groups despite decades of calls to disaggregate NHPI data. As a form of structural racism, data omissions contribute to systemic problems such as inability to advocate, lack of resources, and limitations on political power. The authors conducted a data audit to determine how US federal agencies are collecting and reporting disaggregated NHPI data. Using the COVID-19 pandemic as a case study, they reviewed how states are reporting NHPI cases and deaths. They then used California's neighborhood equity metric-the California Healthy Places Index (HPI)-to calculate the extent of NHPI underrepresentation in communities targeted for COVID-19 resources in that state. Their analysis shows that while collection and reporting of NHPI data nationally has improved, federal data gaps remain. States are vastly underreporting: more than half of states are not reporting NHPI COVID-19 case and death data. The HPI, used to inform political decisions about allocation of resources to combat COVID-19 in at-risk neighborhoods, underrepresents NHPIs. The authors make recommendations for improving NHPI data equity to achieve health equity and social justice.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10959240/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1215/03616878-9517177","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Data on the health and social determinants for Native Hawaiians and Pacific Islanders (NHPIs) in the United States are hidden, because data are often not collected or are reported in aggregate with other racial/ethnic groups despite decades of calls to disaggregate NHPI data. As a form of structural racism, data omissions contribute to systemic problems such as inability to advocate, lack of resources, and limitations on political power. The authors conducted a data audit to determine how US federal agencies are collecting and reporting disaggregated NHPI data. Using the COVID-19 pandemic as a case study, they reviewed how states are reporting NHPI cases and deaths. They then used California's neighborhood equity metric-the California Healthy Places Index (HPI)-to calculate the extent of NHPI underrepresentation in communities targeted for COVID-19 resources in that state. Their analysis shows that while collection and reporting of NHPI data nationally has improved, federal data gaps remain. States are vastly underreporting: more than half of states are not reporting NHPI COVID-19 case and death data. The HPI, used to inform political decisions about allocation of resources to combat COVID-19 in at-risk neighborhoods, underrepresents NHPIs. The authors make recommendations for improving NHPI data equity to achieve health equity and social justice.

没有数据公平就没有公平:夏威夷原住民和太平洋岛民的数据报告差距是结构性种族主义。
有关美国夏威夷原住民和太平洋岛民(NHPIs)的健康和社会决定因素的数据是隐性的,因为尽管数十年来人们一直呼吁对夏威夷原住民和太平洋岛民的数据进行分类,但这些数据往往没有被收集或与其他种族/族裔群体的数据合并报告。作为结构性种族主义的一种形式,数据遗漏导致了系统性问题,如无法宣传、缺乏资源和政治权力受限。作者进行了一次数据审计,以确定美国联邦机构是如何收集和报告分类的非高危人群数据的。他们以 COVID-19 大流行为案例,审查了各州如何报告非高危人群病例和死亡人数。然后,他们使用加利福尼亚州的邻里公平指标--加利福尼亚州健康场所指数 (HPI)--计算了该州 COVID-19 资源目标社区中 NHPI 代表性不足的程度。他们的分析表明,虽然全国范围内对 NHPI 数据的收集和报告有所改善,但联邦数据缺口依然存在。各州的报告严重不足:半数以上的州没有报告 NHPI COVID-19 病例和死亡数据。HPI 用于为政治决策提供信息,以分配资源在高风险社区抗击 COVID-19,但它对 NHPI 的代表不足。作者提出了改善 NHPI 数据公平性的建议,以实现健康公平和社会正义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信