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.

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.