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Quality of head injury coding from autopsy reports with AIS (c) 2005 update 2008

机译:从AIS(c)2005年度的尸检报告的头部损伤质量(c)2005年更新

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ABSTACTObjective: Coding injuries from autopsy reports of traffic accident victims according to Abbreviated Injury Scale AIS (c) 2005 update 2008 [1] is quite time consuming. The suspicion arose, that many issues leading to discussion between coder and control reader were based on information required by the AIS that was not documented in the autopsy reports.Methods: To quantify this suspicion, we introduced an AIS-detail-indicator (AIS-DI). To each injury in the AIS Codebook one letter from A to N was assigned indicating the level of detail. Rules were formulated to receive repeatable assignments. This scheme was applied to a selection of 149 multiply injured traffic fatalities. The frequencies of not A codes were calculated for each body region and it was analysed, why the most detailed level A had not been coded. As a first finding, the results of the head region are presented.Results: 747 AIS head injury codes were found in 137 traffic fatalities, and 60% of these injuries were coded with an AIS-DI of level A. There are three different explanations for codes of AIS-DI not A: Group 1 Missing information in autopsy report (5%), Group 2 Clinical data required by AIS (20%), and Group 3 AIS system determined (15%). Groups 1 and 2 show consequences for the ISS in 25 cases. Other body regions might perform differently.Conclusions: The AIS-DI can indicate the quality of the underlying data basis and, depending on the aims of different AIS users it can be a helpful tool for quality checks.
机译:ABStactobjective:根据缩写伤害尺度AIS(c)2005更新2008 [1]根据缩写伤害裁定的尸检伤害报告的编码伤害是相当耗时的。怀疑出现了,导致编码器和控制读者之间讨论的许多问题都是基于尸检报告中未记录的AIS所需的信息。方法:为了量化这种怀疑,我们介绍了一个AIS-细节指标(AIS- di)。对于AIS码本的每次伤害,分配了来自A到N的字母,指示细节水平。制定规则以获得可重复的任务。该方案适用于选择149次繁殖的交通命性。为每个体区域计算不是代码的频率,并且分析了为什么尚未编码最详细的A.作为第一个发现,展示了头部区域的结果。结果:747 AIS头部损伤代码在137个交通致命中发现,这些损伤中的60%是用AIS-DI级别的编码。有三种不同的解释对于AIS-DI的代码(NOT A:第1组缺少尸检报告中的信息(5%),AIS(20%)所需的第2组临床资料,并确定第3组AIS系统(15%)。第1组和第2组显示25例中的后果。其他身体区域可能表现不同。结论:AIS-DI可以指示基础数据的质量,具体取决于不同AIS用户的目标,它可以是质量检查的有用工具。

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