This study demonstrated that workers' compensation claims data can provide insights into federal employees' workplace injuries and illnesses. Employing agencies, safety staff, and occupational clinicians can use these data to direct efforts to improve conditions to prevent injuries/illnesses, optimize programs for injured worker treatment, rehabilitation, accommodation, and stay-at-work or return-to-work programs. Objective: The purpose of this study was to understand federal workplace injury/illness trends. Methods: Over 1.5 million federal and Postal Service employee workers' compensation (WC) claims from 2007 to 2022 were linked to employment data and analyzed. Results: From 2007 to 2019, falls, slips, trips represented the highest proportion of claims (30.7%), followed by overexertion and bodily reaction (24.4%), unclassified (16.4%), contact with objects and equipment (13.1%), violence and other injuries by persons or animals (8.8%), transportation incidents (4.0%), exposure to harmful substances or environments (2.5%), and fires and explosions (0.24%). From 2020 to 2022, COVID-19 drove a major shift to exposure to harmful substances or environments representing the highest proportion of claims (44.3%). Conclusions: Claims data represent a potentially rich data source that employing agencies can use to focus prevention and treatment of injury/illness.

Numerous recent assessments indicate that meat and poultry processing facility workers are at increased risk for infection with SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19) (1-4). Physical proximity to other workers and shared equipment can facilitate disease transmission in these settings (2-4). The disproportionate number of foreign-born workers employed in meat and poultry processing reflects structural, social, and economic inequities that likely contribute to an increased COVID-19 incidence in this population* (5). In May 2020, the Maryland Department of Health and CDC investigated factors that might affect person-to-person SARS-CoV-2 transmission among persons who worked at two poultry processing facilities. A survey administered to 359 workers identified differences in risk factors for SARS-CoV-2 infection between workers born outside the United States and U.S.-born workers. Compared with U.S.-born workers, foreign-born workers had higher odds of working in fixed locations on the production floor (odds ratio [OR] for cutup and packaging jobs = 4.8), of having shared commutes (OR = 1.9), and of living with other poultry workers (OR = 6.0). They had lower odds of participating in social gatherings (OR for visits to family = 0.2; OR for visits to friends = 0.4), and they visited fewer businesses in the week before the survey than did their U.S.-born coworkers. Some workplace risk factors can be mitigated through engineering and administrative controls focused on the production floor, and this will be of particular benefit to the foreign-born workers concentrated in these areas. Employers and health departments can also partner with local organizations to disseminate culturally and linguistically tailored messages about risk reduction behaviors in community settings, including shared transportation(§) and household members dwelling in close quarters.

OBJECTIVE: This study leveraged a state workers' compensation claims database and machine learning techniques to target prevention efforts by injury causation and industry. METHODS: Injury causation auto-coding methods were developed to code more than 1.2 million Ohio Bureau of Workers' Compensation claims for this study. Industry groups were ranked for soft-tissue musculoskeletal claims that may have been preventable with biomechanical ergonomic (ERGO) or slip/trip/fall (STF) interventions. RESULTS: On the basis of the average of claim count and rate ranks for more than 200 industry groups, Skilled Nursing Facilities (ERGO) and General Freight Trucking (STF) were the highest risk for lost-time claims (>7 days). CONCLUSION: This study created a third, major causation-specific U.S. occupational injury surveillance system. These findings are being used to focus prevention resources on specific occupational injury types in specific industry groups, especially in Ohio. Other state bureaus or insurers may use similar methods.