Estimating the prevalence and spatial clusters of coal workers' pneumoconiosis cases using medicare claims data, 2011‐2014

摘要

Abstract Background Workers employed in the coal mining sector are at increased risk of respiratory diseases, including coal workers' pneumoconiosis (CWP). We investigated the prevalence of CWP and its association with sociodemographic factors among Medicare beneficiaries. Methods We used 5% Medicare Limited Data Set claims data from 2011 to 2014 to select Medicare beneficiaries with a diagnosis of ICD‐9‐CM 500 (CWP). We aggregated the data by county and limited our analysis to seven contiguous states: Illinois, Indiana, Kentucky, Ohio, Pennsylvania, Virginia, and West Virginia. We estimated county‐level prevalence rates using total Medicare beneficiaries and miners as denominators and performed spatial hotspot analysis. We used negative binomial regression analysis to determine the association of county‐wise sociodemographic factors with CWP. Results There was significant spatial clustering of CWP cases in Kentucky, Virginia, and West Virginia. Spatial clusters of 210 and 605 CWP cases representing an estimated 4200 to 12?100 cases of Medicare beneficiaries with CWP were identified in the three states. Counties with higher poverty levels had a significantly elevated rate of CWP (adjusted rate ratios [RR]: 1.15; 95% CI, 1.12‐1.18). There was a small but significant association of CWP with the county‐wise catchment area. Rurality was associated with a more than three‐fold elevated rate of CWP in the unadjusted analysis (RR: 3.28, 95% CI, 2.22‐4.84). However, the rate declined to 1.45 (95% CI, 1.04‐2.01) after adjusting for other factors in the analysis. Conclusions We found evidence of significant spatial clustering of CWP among Medicare beneficiaries living in the seven states of the USA.