Background Minnesota has an ethnically diverse labor force, with the largest number of refugees per capita in the United States. In recent years, Minnesota has been and continues to be a major site for immigrant and refugee resettlement in the United States, with a large population of both immigrant and native born Hmong, Hispanic, and East Africans. This study seeks to evaluate the injury risk among the evolving minority workforce in the Minnesota Twin Cities region. Methods A retrospective cohort study identifying work‐related injuries following pre‐employment examinations was performed using electronic health records from a large multi‐clinic occupational medicine practice. Preplacement examinations and subsequent work‐related injuries were pulled from the electronic health record using representative ICD‐10 codes for surveillance examinations and injuries. This study included patient records collected over a 2‐year period from January 1, 2015, through December, 2016. The patients in this cohort worked in a wide‐array of occupations including production, assembly, construction, law enforcement, among others. Results Hispanic minority workers were twice as likely to be injured at work compared with White workers. Hispanics were 2.89 times more likely to develop back injuries compared with non‐Hispanic workers, and 1.86 times more likely to develop upper extremity injuries involving the hand, wrist, or elbow. Conclusion Clinical practice data shows that Hispanic workers are at increased risk for work‐related injuries in Minnesota. They were especially susceptible to back and upper extremity injuries. Lower injury rates in non‐Hispanic minority workers, may be the result of injury underreporting and require further investigation.

Background: Although racial and ethnic identities are associated with a multitude of disparate medical outcomes, surveillance of these subpopulations in the occupational clinic setting could benefit enormously from a more detailed and nuanced recognition of racial and ethnic identity. Methods:The research group designed a brief questionnaire to capture several dimensions of this identity and collected data from patients seen for work-related conditions in four occupational medicine clinics from May 2019 through March 2020. Responses were used to calculate the sensitivity and specificity of extant racial/ethnic identity data within our electronic health records system, and were compared to participants' self-reported industry and occupation, coded according to North American Industry Classification System and Standard Occupational Classification System listings.Results: Our questionnaire permitted collection of data that defined our patients' specific racial/ethnic identity with far greater detail, identified patients with multiple ethnic identities, and elicited their preferred language. Response rate was excellent (94.2%, n = 773). Non-White participants frequently selected a racial/ethnic subcategory (78.1%-92.2%). Using our race/ethnicity data as a referent, the electronic health record (EHR) had a high specificity (>87.1%), widely variable sensitivity (11.8%-82.2%), and poorer response rates (75.1% for race, 82.5% for ethnicity, as compared to 93.8% with our questionnaire). Additional analyses revealed some industries and occupations disproportionately populated by patients of particular racial/ethnic identities.

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