澳大利亚编码的ICD-10和ICD-10-AM数据在研究中的应用:文献范围综述。

Merilyn Riley, Jenn Lee, Sally Richardson, Stephanie Gjorgioski, Kerin Robinson
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引用次数: 0

摘要

背景:澳大利亚使用国际疾病分类法(ICD-10)进行死亡率编码,并使用其澳大利亚修改版ICD-10-AM进行发病率编码。ICD是监测(人口健康、死亡率)、健康规划和研究(临床、流行病学和其他)的基础。ICD-10-AM还支持基于活动的资助,从而推动临床编码重点的重新调整,并可能推动编码数据的研究效用。目的:对ICD-10和ICD-10-AM澳大利亚编码数据在研究中的应用进行范围审查。本文提出的研究问题:(1)ICD-10(-AM)澳大利亚编码数据在2012-2022年发表的同行评审研究中的应用是什么?(2) 根据数据使用框架的分类法,ICD-10(-AM)编码数据在这种情况下的目的是什么?方法:在系统检索Medline、Scopus和护理累积指数以及相关健康文献数据库后,使用PRISMA扩展范围界定审查指南进行范围界定文献审查。手动搜索范围内文章的随机5%样本的参考文献。使用描述性分析对结果进行总结。结果:对2103篇进口文章进行多阶段筛选,产生636篇,其中25篇来自参考文献,用于提取和分析;54%发表于2019-2022年;最大的五个类别中有50%是在2019年之后发布的;22%属于“心理健康和行为”类别;60.3%依赖ICD-10修饰。文章按以下内容分组:研究重点;ICD相关章节;根据分类法的主题;编码数据的目的。观察性研究设计占主导地位:描述性(50.6%)和队列性(34.6%)。结论:研究人员对编码数据的使用广泛、稳健且不断增长。ICD-10(-AM)编码数据以及HIM编码人员和临床编码人员向医学研究人员提供的专家建议预示着需求的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The applications of Australian-coded ICD-10 and ICD-10-AM data in research: A scoping review of the literature.

Background: Australia uses the International Classification of Diseases (ICD-10) for mortality coding and its Australian Modification, ICD-10-AM, for morbidity coding. The ICD underpins surveillance (population health, mortality), health planning and research (clinical, epidemiological and others). ICD-10-AM also supports activity-based funding, thereby propelling realignment of the foci of clinical coding and, potentially, coded data's research utility. Objective: To conduct a scoping review of the literature exploring the use of ICD-10 and ICD-10-AM Australian-coded data in research. Research questions addressed herein: (1) What were the applications of ICD-10(-AM) Australian-coded data in published peer-reviewed research, 2012-2022? (2) What were the purposes of ICD-10(-AM) coded data within this context, as classified per a taxonomy of data use framework? Method: Following systematic Medline, Scopus and Cumulative Index to Nursing and Allied Health Literature database searches, a scoping literature review was conducted using PRISMA Extension for Scoping Reviews guidelines. References of a random 5% sample of within-scope articles were searched manually. Results were summarised using descriptive analyses. Results: Multi-stage screening of 2103 imported articles produced 636, including 25 from the references, for extraction and analysis; 54% were published 2019-2022; 50% within the largest five categories were published post-2019; 22% fell within the "Mental health and behavioural" category; 60.3% relied upon an ICD-10 modification. Articles were grouped by: research foci; relevant ICD chapter; themes per the taxonomy; purposes of the coded data. Observational study designs predominated: descriptive (50.6%) and cohort (34.6%). Conclusion: Researchers' use of coded data is extensive, robust and growing. Increasing demand is foreshadowed for ICD-10(-AM) coded data, and HIM-Coders' and Clinical Coders' expert advice to medical researchers.

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