Literature DB >> 27942733

Obscured by administrative data? Racial disparities in occupational injury.

Erika L Sabbath1, Leslie I Boden, Jessica Ar Williams, Dean Hashimoto, Karen Hopcia, Glorian Sorensen.   

Abstract

Objectives Underreporting of occupational injuries is well documented, but underreporting patterns may vary by worker characteristics, obscuring disparities. We tested for racial and ethnic differences in injury reporting patterns by comparing injuries reported via research survey and administrative injury database in the same group of healthcare workers in the US. Methods We used data from a cohort of 1568 hospital patient-care workers who were asked via survey whether they had been injured at work during the year prior (self-reported injury; N=244). Using the hospital's injury database, we determined whether the same workers had reported injuries to the hospital's occupational health service during that year (administratively reported injury; N=126). We compared data sources to test for racial and ethnic differences in injury reporting practices. Results In logistic regression models adjusted for demographic and occupational characteristics, black workers' odds of injury as measured by self-report data were 1.91 [95% confidence interval (95% CI) 1.04-3.49] compared with white workers. The same black workers' odds of injury as measured by administrative data were 1.22 (95% CI 0.54-2.77) compared with white workers. Conclusions The undercount of occupational injuries in administrative versus self-report data may be greater among black compared to white workers, leading to underestimates of racial disparities in workplace injury.

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Year:  2016        PMID: 27942733     DOI: 10.5271/sjweh.3611

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  3 in total

Review 1.  Literature Review of Policy Implications From Findings of the Center for Work, Health, and Well-being.

Authors:  María Andrée López Gómez; Emily Sparer-Fine; Glorian Sorensen; Gregory Wagner
Journal:  J Occup Environ Med       Date:  2019-11       Impact factor: 2.162

Review 2.  Occupational Health and Safety Statistics as an Indicator of Worker Physical Health in South African Industry.

Authors:  Oscar Rikhotso; Thabiso John Morodi; Daniel Masilu Masekameni
Journal:  Int J Environ Res Public Health       Date:  2022-02-01       Impact factor: 3.390

3.  Using advanced racial and ethnic identity demographics to improve surveillance of work-related conditions in an occupational clinic setting.

Authors:  Andre G Montoya-Barthelemy; Karyn Leniek; Emily Bannister; Marcus Rushing; Fozia A Abrar; Tobias E Baumann; Madeleine Manly; Jonathan Wilhelm; Ashley Niece; Scott Riester; Hyun Kim; Jonathan Sellman; Jay Desai; Paul J Anderson; Ralph S Bovard; Nicolas P Pronk; Zeke J McKinney
Journal:  Am J Ind Med       Date:  2022-03-02       Impact factor: 3.079

  3 in total

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