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制定一个专家衍生的 ICD-AIS 图谱,用于识别严重 AIS3+损伤。

Development of an expert derived ICD-AIS map for serious AIS3+ injury identification.

机构信息

School of Design and Creative Arts, Loughborough University, Loughborough, UK.

Association for the Advancement of Automotive Medicine (AAAM), Chicago, Illinois.

出版信息

Traffic Inj Prev. 2020;21(3):181-187. doi: 10.1080/15389588.2020.1725494. Epub 2020 Mar 6.

Abstract

The objective of the mapping project was to develop an expert derived map between the International Statistical Classification of Diseases and Related Health Problems (ICD) clinical modifications (CM) and the Abbreviated Injury Scale (AIS) to be able to relate AIS severity to ICD coded data road traffic collision data in EU datasets. The maps were developed to enable the identification of serious AIS3+ injury and provide details of the mapping process for assumptions to be made about injury severity from mass datasets. This article describes in detail the mapping process of the International Classification of Diseases Ninth Revision, Clinical Modification (ICD-9-CM) and the International Classification of Diseases Tenth Revision, Clinical Modification (ICD-10-CM) codes to the Abbreviated Injury Scale 2005, Update 2008 (AIS08) codes to identify injury with an AIS severity of 3 or more (AIS3+ severity) to determine 'serious' (MAIS3+) road traffic injuries. Over 19,000 ICD codes were mapped from the following injury categories; injury ICD-9-CM (Chapter 17) codes between '800 and 999.9' and injury ICD-10-CM (Chapter 19) 'S' and 'T' prefixed codes were reviewed and mapped to an AIS08 category and then relate the severity to three groups; AIS3+, AIS < =2 and AIS 9 (no-map). The mapping was undertaken by ICD coding experts and certified AIS specialists from Europe, North America, Australia and Canada in face-to-face working groups and subsequent webinars between May 2014 and October 2015. During the process, the business rules were documented to define guidelines for the mapping process and enable inter-rater discrepancies to be resolved. In total 2,504 ICD-9-CM codes were mapped to the AIS, of which 780 (31%) were assigned an AIS3+ severity. For the16,508 ICD-10-CM mapped codes a total of 2,323 (14%) were assigned an AIS3+ severity. Some 17% (n = 426) and 27% (n = 4,485) of ICD-9-CM and ICD-10-CM codes respectively were assigned to AIS9 (no-map) following the mapping process. It was evident there were 'problem' codes that could not be easily mapped to an AIS code to reflect severity. Problem maps affect the specificity of the map and severity when used to translate historical data in large datasets. The Association for the Advancement in Automotive Medicine, AAAM-endorsed expert-derived map offers a unique tool to road safety researchers to establish the number of MAIS3+ serious injuries occurring on the roads. The detailed process offered in this paper will enable researchers to understand the decision making and identify limitations when using the AIS08/ICD map on country-specific data. The results could inform protocols for dealing with problem codes to enable country comparisons of MAIS3+ serious injury rates.

摘要

该映射项目的目标是开发一个国际疾病分类(ICD)临床修订版(CM)和简略损伤量表(AIS)之间的专家衍生映射,以便能够将 AIS 严重程度与欧盟数据集的 ICD 编码数据相关联。这些映射是为了能够识别严重的 AIS3+损伤,并提供映射过程的详细信息,以便能够根据大量数据集做出关于损伤严重程度的假设。本文详细描述了国际疾病分类第九版临床修订版(ICD-9-CM)和国际疾病分类第十版临床修订版(ICD-10-CM)代码到简略损伤量表 2005 年更新版(AIS08)代码的映射过程,以识别 AIS 严重程度为 3 或更高(AIS3+严重程度)的损伤,以确定“严重”(MAIS3+)道路交通损伤。对以下损伤类别中的 19000 多个 ICD 代码进行了映射:ICD-9-CM(第 17 章)代码“800 至 999.9”和 ICD-10-CM(第 19 章)“S”和“T”前缀代码进行了审查并映射到 AIS08 类别,然后将严重程度与三组相关联;AIS3+、AIS <= 2 和 AIS 9(无映射)。映射工作由来自欧洲、北美、澳大利亚和加拿大的 ICD 编码专家和认证的 AIS 专家在面对面工作组中进行,并在 2014 年 5 月至 2015 年 10 月期间通过网络研讨会进行。在此过程中,记录了业务规则,以定义映射过程的准则,并能够解决评分者间的差异。总共对 2504 个 ICD-9-CM 代码进行了 AIS 映射,其中 780 个(31%)被分配了 AIS3+严重程度。对于映射的 16508 个 ICD-10-CM 代码,总共分配了 2323 个(14%)AIS3+严重程度。在映射过程之后,分别有 17%(n=426)和 27%(n=4485)的 ICD-9-CM 和 ICD-10-CM 代码被分配到 AIS9(无映射)。显然,有些“问题”代码无法轻松映射到 AIS 代码以反映严重程度。问题映射会影响映射的特异性和在大量数据集中用于翻译历史数据时的严重程度。汽车医学进步协会(AAAM)认可的专家衍生映射为道路安全研究人员提供了一个独特的工具,用于确定道路上发生的 MAIS3+严重损伤的数量。本文提供的详细过程将使研究人员能够了解决策过程,并在对特定国家的数据使用 AIS08/ICD 映射时识别其局限性。结果可以为处理问题代码提供信息,以实现 MAIS3+严重损伤率的国家间比较。

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