Work-related amputations in Washington state, 1997-2005.

Work-related amputations in Washington state, 1997-2005.
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1997 年至 2005 年华盛顿州与工作相关的截肢。

DOI:
10.1002/ajim.20815
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发表时间:
2010
影响因子:
3.5
通讯作者:
Adams,Darrin
Adams,Darrin
中科院分区:
医学4区
文献类型:
--
作者:
Anderson,NaomiJ;Bonauto,DavidK;Adams,Darrin

文献摘要

被引文献

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背景与工作有关的截肢是罕见的,但毁灭性的伤害。试图更准确地估计截肢和行业的负担风险,导致华盛顿州职业监测计划,探索新的方法,在华盛顿州工人的赔偿data.MethodsTwo的方法用于确定工作相关的截肢的情况下。第一种方法使用ANSI Z16自然代码进行截肢。另一种方法是利用医疗、医院和医疗账单和账单支付系统的索赔管理编码。确定可疑截肢索赔后,与不同的情况下识别方法的医疗记录的样本进行了审查,以验证截肢可能occurrent.ResultsFrom 1997年至2005年,2,528截肢被确定使用ANSI Z16代码截肢(自然= 100)和额外的3,912截肢被确定使用的替代方法。使用ANSI截肢定义的时间段内,截肢损伤呈增加趋势;然而,替代方法捕获的截肢损伤趋势呈下降趋势。这可能表明,由于截肢损伤的错误分类,在估计趋势时存在偏倚。截肢索赔率最高的部门是制造业;建筑业;农业,林业,渔业和狩猎业;住宿和食品服务业;批发和零售业。ConclusionsCurrent方法,以确定与工作有关的截肢工人的赔偿数据系统低估了截肢的负担在华盛顿州。通过使用替代病例识别方法,我们估计在此期间华盛顿州的截肢病例增加了约150%。Am. J. Ind. Med. 53:693-705,2010.© 2010 Wiley利斯公司
BackgroundWork‐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.MethodsTwo 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.ResultsFrom 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.ConclusionsCurrent 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. Am. J. Ind. Med. 53:693–705, 2010. © 2010 Wiley‐Liss, Inc.