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利用国际疾病分类第十版Y编码识别韩国的不良事件:一项横断面研究

Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study.

作者信息

Ock Minsu, Kim Hwa Jung, Jeon Bomin, Kim Ye-Jee, Ryu Hyun Mi, Lee Moo-Song

机构信息

Department of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.

出版信息

J Prev Med Public Health. 2018 Jan;51(1):15-22. doi: 10.3961/jpmph.17.118.

Abstract

OBJECTIVES

The use of administrative data is an affordable alternative to conducting a difficult large-scale medical-record review to estimate the scale of adverse events. We identified adverse events from 2002 to 2013 on the national level in Korea, using International Classification of Diseases, tenth revision (ICD-10) Y codes.

METHODS

We used data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC). We relied on medical treatment databases to extract information on ICD-10 Y codes from each participant in the NHIS-NSC. We classified adverse events in the ICD-10 Y codes into 6 types: those related to drugs, transfusions, and fluids; those related to vaccines and immunoglobulin; those related to surgery and procedures; those related to infections; those related to devices; and others.

RESULTS

Over 12 years, a total of 20 817 adverse events were identified using ICD-10 Y codes, and the estimated total adverse event rate was 0.20%. Between 2002 and 2013, the total number of such events increased by 131.3%, from 1366 in 2002 to 3159 in 2013. The total rate increased by 103.9%, from 0.17% in 2002 to 0.35% in 2013. Events related to drugs, transfusions, and fluids were the most common (19 446, 93.4%), followed by those related to surgery and procedures (1209, 5.8%) and those related to vaccines and immunoglobulin (72, 0.3%).

CONCLUSIONS

Based on a comparison with the results of other studies, the total adverse event rate in this study was significantly underestimated. Improving coding practices for ICD-10 Y codes is necessary to precisely monitor the scale of adverse events in Korea.

摘要

目的

利用行政数据是一种经济实惠的替代方法,可避免进行困难的大规模病历审查来估计不良事件的规模。我们使用国际疾病分类第十版(ICD - 10)Y编码,在国家层面识别了2002年至2013年韩国的不良事件。

方法

我们使用了国民健康保险服务 - 全国样本队列(NHIS - NSC)的数据。我们依靠医疗治疗数据库从NHIS - NSC的每个参与者中提取关于ICD - 10 Y编码的信息。我们将ICD - 10 Y编码中的不良事件分为6种类型:与药物、输血和液体相关的;与疫苗和免疫球蛋白相关的;与手术和操作相关的;与感染相关的;与器械相关的;以及其他。

结果

在12年期间,使用ICD - 10 Y编码共识别出20817起不良事件,估计总不良事件发生率为0.20%。2002年至2013年期间,此类事件的总数增加了131.3%,从2002年的1366起增加到2并13年的3159起。总发生率增加了103.9%,从2002年的0.17%增加到2013年的0.35%。与药物、输血和液体相关的事件最为常见(19446起,93.4%),其次是与手术和操作相关的(1209起,5.8%)以及与疫苗和免疫球蛋白相关的(72起,0.3%)。

结论

与其他研究结果相比,本研究中的总不良事件发生率被显著低估。改进ICD - 10 Y编码的编码实践对于精确监测韩国不良事件的规模是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16da/5797717/da934cae9766/jpmph-51-1-15f1.jpg

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