Lost on the frontline, and lost in the data: COVID-19 deaths among Filipinx healthcare workers in the United States.
Lost on the frontline, and lost in the data: COVID-19 deaths among Filipinx healthcare workers in the United States.
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DOI：
10.3389/fpubh.2022.958530
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发表时间：
2022
影响因子：
5.2
通讯作者：
Ponce, Ninez A. A.
中科院分区：
文献类型：
--
作者：
Escobedo, Loraine A. A.;Morey, Brittany N. N.;Sabado-Liwag, Melanie D. D.;Ponce, Ninez A. A.
从事医疗保健工作的菲律宾裔美国人面临COVID-19死亡的风险，但缺乏关于医疗工作者死亡的一致死亡率数据。亚洲亚群分类数据的缺乏导致反亚洲结构性种族主义的扩散，因为高风险群体的需求系统地未被发现，不值得适当的公共卫生反应。我们通过研究菲律宾人在医疗保健中的过度代表性如何导致亚裔美国人的COVID-19死亡率，来解决这一汇总数据问题。为了克服菲律宾裔美国医疗工作者中COVID-19死亡率数据的缺乏，我们合并了来自几个来源的数据：Kanlungan网站（唯一已知的面向公众的菲律宾医疗工作者全国和全球系统报告死亡率数据来源），国家卫生统计中心和2014-2018年美国社区调查。我们使用t检验、散点图和线性回归检验了县级相关性。亚裔美国人中菲律宾人的百分比较高，与亚裔美国人的百分比较高相关（r = 0.24, p = 0.01）。即使在调整了年龄、贫困和人口密度之后，菲律宾人在医疗保健中的比例仍然是亚裔美国人COVID-19死亡的一个强有力的预测因子（coef = 1.0, p < 0.001）。在医疗保健队伍中，菲律宾人每增加1%，亚裔美国人感染COVID-19的比例就增加1%。我们的研究表明，菲律宾人在医疗保健领域的过度代表性导致了亚裔美国人之间的COVID-19死亡率差异。我们的研究结果倡导通过实施反种族主义数据议程，收集和报告亚洲亚群体，以有效的实时有针对性的方法应对卫生不平等，从而改变系统。
Filipinx Americans working in healthcare are at risk for COVID-19 death but lack consistent mortality data on healthcare worker deaths. The lack of disaggregated data for Asian subgroups proliferates anti-Asian structural racism as the needs of high-risk groups are systematically undetected to merit a proper public health response. We work around this aggregated data problem by examining how the overrepresentation of Filipinxs in healthcare contributes to COVID-19 mortality among Asian American populations. To overcome the lack of COVID-19 mortality data among Filipinx American healthcare workers, we merged data from several sources: Kanlungan website (the only known public-facing source of systematically reported mortality data on Filipinx healthcare workers nationally and globally), National Center for Health Statistics, and 2014–2018 American Community Survey. We examined county-level associations using t-tests, scatterplots, and linear regression. A higher percentage of Filipinxs among Asian Americans was correlated with a higher percentage of COVID-19 decedents who are Asian Americans (r = 0.24, p = 0.01). The percentage of Filipinx in healthcare remained a strong predictor of COVID-19 deaths among Asian Americans even after adjusting for age, poverty, and population density (coef = 1.0, p < 0.001). For every 1% increase in Filipinx among the healthcare workforce, the percentage of Asian American COVID-19 decedents increased by 1%. Our study shows that the overrepresentation of Filipinxs in healthcare contributes to COVID-19 mortality disparities among Asian Americans. Our findings advocate for systems change by practicing anti-racist data agendas that collect and report on Asian subgroups for effective real-time targeted approaches against health inequities.
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影响因子：
3.8
作者：
Dee, Edward Christopher;Chen, Sophia;Gomez, Scarlett Lin
通讯作者：
Gomez, Scarlett Lin
DOI：
10.1017/s1742058x11000130
发表时间：
2011-04
期刊：
Du Bois review : social science research on race
影响因子：
--
作者：
Gee GC;Ford CL
通讯作者：
Ford CL
影响因子：
13.8
作者：
Doan, Lan N.;Takata, Yumie;Irvin, Veronica L.
通讯作者：
Irvin, Veronica L.
影响因子：
4.5
作者：
Castro-Palaganas, Erlinda;Spitzer, Denise L.;Bourgeault, Ivy Lynn
通讯作者：
Bourgeault, Ivy Lynn
影响因子：
12.7
作者：
Adia, Alexander C.;Nazareno, Jennifer;Ponce, Ninez A.
通讯作者：
Ponce, Ninez A.