Vergara Ximena P, Fischer Heidi J, Yost Michael, Silva Michael, Lombardi David A, Kheifets Leeka
Electric Power Research Institute, Environment Sector, Palo Alto, CA 94304, USA.
UCLA Fielding School of Public Health, Department of Biostatistics, Los Angeles, CA 90024, USA.
Int J Environ Res Public Health. 2015 Apr 8;12(4):3889-902. doi: 10.3390/ijerph120403889.
We present an update to an electric shock job exposure matrix (JEM) that assigned ordinal electric shocks exposure for 501 occupational titles based on electric shocks and electrocutions from two available data sources and expert judgment. Using formal expert elicitation and starting with data on electric injury, we arrive at a consensus-based JEM. In our new JEM, we quantify exposures by adding three new dimensions: (1) the elicited median proportion; (2) the elicited 25th percentile; and (3) and the elicited 75th percentile of those experiencing occupational electric shocks in a working lifetime. We construct the relative interquartile range (rIQR) based on uncertainty interval and the median. Finally, we describe overall results, highlight examples demonstrating the impact of cut point selection on exposure assignment, and evaluate potential impacts of such selection on epidemiologic studies of the electric work environment. In conclusion, novel methods allowed for consistent exposure estimates that move from qualitative to quantitative measures in this population-based JEM. Overlapping ranges of median exposure in various categories reflect our limited knowledge about this exposure.
我们展示了电击工作暴露矩阵(JEM)的更新内容,该矩阵基于两个可用数据源的电击和触电事故以及专家判断,为501个职业头衔分配了序数电击暴露量。通过正式的专家征询并从电损伤数据开始,我们得出了一个基于共识的JEM。在我们的新JEM中,我们通过增加三个新维度来量化暴露量:(1)征询得出的中位数比例;(2)征询得出的第25百分位数;以及(3)在工作生涯中经历职业电击的人群中征询得出的第75百分位数。我们基于不确定性区间和中位数构建相对四分位距(rIQR)。最后,我们描述总体结果,突出展示切点选择对暴露分配影响的示例,并评估这种选择对电气工作环境流行病学研究的潜在影响。总之,新方法实现了在这个基于人群的JEM中从定性到定量测量的一致暴露估计。不同类别中中位数暴露的重叠范围反映了我们对这种暴露的有限认知。