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Objective: Janitorial workers have a high burden of occupational injury and illness, but little information exists on their overall health. Methods: Data from the Washington State Behavioral Risk Factor Surveillance System (BRFSS) were analyzed to characterize the working population of Janitors in Washington State from 2011 to 2017 (n = 490) as compared with all other workers (n = 38,885). Results: Compared with other workers, Janitors were significantly more diverse, had lower socioeconomic status, and reported poorer general health and higher rates of arthritis and depression. Janitors were less likely to have adequate sleep, health insurance, and access to technology. Janitors reported higher rates of smoking and marijuana use. Conclusions: Multiple risk factors compound the vulnerability of Janitors. BRFSS data can be used to characterize the health of occupational groups. Identifying overall health needs can better inform policy and help formulate strategies to improve workers' health. [ABSTRACT FROM AUTHOR]

Objective: Assess the effect of chronic comorbidities on hours and earnings recovery following a carpal tunnel syndrome (CTS) claim. Methods: The hours and earnings profiles of Washington State workers' compensation claimants with CTS and controls, upper extremity fractures (UEF) claimants, were collected by linking to unemployment insurance data during 2007 to 2014. Chronic comorbidity status was determined from workers' compensation bills. Results: More (43%) CTS claimants had diagnosed chronic comorbidities than UEF (24%). CTS claimants and claimants with multiple chronic comorbidities had significantly higher odds of not working post injury and poorer hours and earnings recovery compared with UEF claimants and those with no chronic comorbidities. Conclusions: This research suggests that chronic conditions should be considered as barriers to return to work among injured workers. [ABSTRACT FROM AUTHOR]

Introduction: Construction is high-hazard industry, and continually ranks among those with the highest workers' compensation (WC) claim rates in Washington State (WA). However, not all construction firms are at equal risk. We tested the ability to identify those construction firms most at risk for future claims using only administrative WC and unemployment insurance data. Methods: We collected information on construction firms with 10–50 average full time equivalent (FTE) employees from the WA unemployment insurance and WC data systems (n = 1228). Negative binomial regression was used to test the ability of firm characteristics measured during 2011–2013 to predict time-loss claim rates in the following year, 2014. Results: Claim rates in 2014 varied by construction industry groups, ranging from 0.7 (Land Subdivision) to 4.6 (Foundation, Structure, and Building Construction) claims per 100 FTE. Construction firms with higher average WC premium rates, a history of WC claims, increasing number of quarterly FTE, and lower average wage rates during 2011–2013 were predicted to have higher WC claim rates in 2014. Conclusions: We demonstrate the ability to leverage administrative data to identify construction firms predicted to have future WC claims. This study should be repeated to determine if these results are applicable to other high-hazard industries. Practical Applications: This study identified characteristics that may be used to further refine targeted outreach and prevention to construction firms at risk. [ABSTRACT FROM AUTHOR]