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Challenges with misclassification of American Indian/Alaska Native race and Hispanic ethnicity on death records in North Carolina occupational fatalities surveillance.
McClure, Elizabeth S; Gartner, Danielle R; Bell, Ronny A; Cruz, Theresa H; Nocera, Maryalice; Marshall, Stephen W; Richardson, David B.
Afiliação
  • McClure ES; NC Occupational Safety and Health Education and Research Center, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Gartner DR; Department of Epidemiology & Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, United States.
  • Bell RA; Division of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, United States.
  • Cruz TH; Office of Cancer Health Equity, Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, United States.
  • Nocera M; North Carolina American Indian Health Board, Winston-Salem, NC, United States.
  • Marshall SW; Department of Pediatrics, University of New Mexico, Albuquerque, NM, United States.
  • Richardson DB; UNM Prevention Research Center, Albuquerque, NM, United States.
Front Epidemiol ; 2: 878309, 2022.
Article em En | MEDLINE | ID: mdl-38455305
ABSTRACT
As frequently segregated and exploitative environments, workplaces are important sites in driving health and mortality disparities by race and ethnicity. Because many worksites are federally regulated, US workplaces also offer opportunities for effectively intervening to mitigate these disparities. Development of policies for worker safety and equity should be informed by evidence, including results from research studies that use death records and other sources of administrative data. North Carolina has a long history of Black/white disparities in work-related mortality and evidence of such disparities is emerging in Hispanic and American Indian/Alaska Native (AI/AN) worker populations. The size of Hispanic and AI/AN worker populations have increased in North Carolina over the last decade, and North Carolina has the largest AI/AN population in the eastern US. Previous research indicates that misidentification of Hispanic and AI/AN identities on death records can lead to underestimation of race/ethnicity-specific mortality rates. In this commentary, we describe problems and complexities involved in determining AI/AN and Hispanic identities from North Carolina death records. We provide specific examples of misidentification that are likely introducing bias to occupational mortality disparity documentation, and offer recommendations for improved data collection, analysis, and interpretation. Our primary recommendation is to build and maintain relationships with local community leadership, so that improvements in the ascertainment of race and ethnicity are grounded in the lived experience of workers from communities of color.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article