Department of Labor & Industries, Olympia, Washington 98504-4330, USA.
Am J Ind Med. 2010 Jul;53(7):693-705. doi: 10.1002/ajim.20815.
Work-related amputations are infrequent but devastating injuries. Attempts to more accurately estimate the burden of amputations and industries at risk have led the Washington State occupational surveillance program to explore new methods for case identification in Washington State workers' compensation data.
Two methods were utilized for case identification of work-related amputations. The first method used the ANSI Z16 nature code for amputation. An alternative method utilized medical, hospital, and claim administration coding of medical bills and bill payment systems. After identifying suspected amputation claims, a sample of the medical records associated with different case identification methods were reviewed to verify that an amputation likely occurred.
From 1997 to 2005, 2,528 amputations were identified using the ANSI Z16 code for amputation (Nature = 100) and an additional 3,912 amputations were identified using the alternative method. There was an increasing trend of amputation injuries over the time period using the ANSI amputation definition; however, the trend in amputation injuries captured by the alternative method was decreasing. This may indicate a bias in estimating a trend due to misclassification of amputation injuries. The sectors with the highest amputation claims rates were Manufacturing; Construction; Agriculture, Forestry, Fishing and Hunting; Accommodation and Food Services; and Wholesale and Retail Trade.
Current methods to identify work-related amputations in the workers' compensation data system underestimate the burden of amputations in Washington State. By utilizing alternative case identification methods, we estimate that there were about 150% more amputations in Washington State over the time period.
与工作相关的截肢是罕见但严重的伤害。为了更准确地估计截肢的负担和风险行业,华盛顿州职业监测计划探索了在华盛顿州工人赔偿数据中识别病例的新方法。
使用两种方法识别与工作相关的截肢病例。第一种方法使用 ANSI Z16 截肢性质代码。另一种方法利用医疗、医院和索赔管理编码的医疗账单和账单支付系统。在识别疑似截肢索赔后,对不同病例识别方法相关的医疗记录进行了抽样审查,以验证是否确实发生了截肢。
1997 年至 2005 年期间,使用 ANSI Z16 截肢性质代码(性质=100)识别了 2528 例截肢病例,使用替代方法又识别了 3912 例截肢病例。使用 ANSI 截肢定义,在研究期间,截肢伤害呈上升趋势;然而,使用替代方法识别的截肢伤害呈下降趋势。这可能表明由于截肢伤害的分类错误,估计趋势存在偏差。截肢索赔率最高的部门是制造业;建筑;农业、林业、渔业和狩猎;住宿和食品服务;以及批发和零售贸易。
当前在工人赔偿数据系统中识别与工作相关的截肢病例的方法低估了华盛顿州截肢的负担。通过使用替代病例识别方法,我们估计在研究期间,华盛顿州的截肢病例增加了约 150%。