台灣使用自動化編碼系統與國際疾病分類第十版對死因統計之影響：雙軌編碼研究

呂宗學

doi:10.6288/TJPH.202010_39(5).109039

山西大学，您好！

感谢采购，人社期刊库｜人社论文库，期间：2024/01/01~2024/12/31

感谢试用，科学期刊库｜科学论文库，期间：2024/10/20~2025/01/20

浏览高级检索

关闭
检索检索高级检索出版物检索
浏览期刊主题浏览核心期刊浏览期刊拼音浏览

关闭

查询符号(半角)	查询符号意义说明
空格	表示为「AND」两个查询词之交集
双引号 ( " " )	片语以双引号标示开始及结束，而且只寻找出现顺序相同的字词，例： " image process "
?	表示一个字母切截，输入两个?表两个字母，依此类推，例：输入「Appl?」，查得结果应为appl e , appl y … ( 常用于英文字查询 )
*	表示不限字母切截，由0~n. 例：输入「appl*」，查得结果应为appl e , appl es , appl y , appl ied , appl ication … ( 常用于英文字查询 )
AND、OR、NOT	布尔逻辑组合关键字，用来扩大或缩小查询范围的技巧。 (1) AND ：缩小查询范围 (2) OR ：扩大查询范围(3) NOT：排除不相关的范围

DOI 是数位物件识别码（ D igital O bject I dentifier ）的简称，
为物件在网路上的唯一识别码，可用于永久连结并引用目标物件。

使用DOI作为永久连结

每个DOI号前面加上「 http://dx.doi.org/ 」便成为永久网址。
如以DOI号为 10.5297/ser.1201.002 的文献为例，此文献的永久连结便是： http://dx.doi.org/ 10.5297/ser.1201.002 。
日后不论出版单位如何更动此文献位置，永久连结所指向的位置皆会即时更新，不再错失重要的研究。

引用含有DOI的文献

有DOI的文献在引用时皆应同时引用DOI。若使用APA、Chicago以外未规范DOI的引用格式，可引用DOI永久连结。

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。如想对DOI的使用与概念有进一步了解，请参考（）。

ACI:

数据来源：Academic Citation Index，简称ACI

台湾最大的引用文献资料库，目前收录台湾与港澳地区所出版的人文学、社会学领域学术期刊之书目资料与参考文献，总期刊量超过690种，每年定期公布收录期刊的影响指数(Impact Factor)等指标给大众，并提供专家学者与学术单位实用的计量与分析功能。

五年影响指数（5-Year Impact Factor）：某一期刊前五年所出版的文章在当年度的平均被引用次数。

公式：（前五年发表论文在统计年的被引用次数）÷（前五年论文产出论文总篇数）

例如：A期刊2017年之五年影响指数

(A期刊2012-2016年发表论文在2017年的被引总次数)/(A期刊2012-2016年发表的论文总数)

什么是预刊文章？

为提供读者最前线之学术资讯，于期刊文献获同意刊登后、纸本印制完成前，率先于网路线上发表之文章即为预刊文章。预刊文章尚未有卷期、页次及出版日期资讯，但可藉由DOI号识别。 DOI号是文献的数位身份证字号，不论预刊或正式出版皆不会改变，读者可点击DOI连结，或于DOI号前面加上「 http://dx.doi.org/ 」连结到文献目前最新版本。

如何引用预刊文章？

请使用预刊文章的线上发表日期及DOI号来引用该篇文献。

引用范例(视不同引文格式规范可能有所差异)：

作者姓名。文章篇名。期刊名称。 YYYY/MM/DD线上预先发表。

doi:DOI 号

来源数据

P578 - 597

医药卫生 > 预防保健与卫生学
医药卫生 > 社会医学

DOI： 10.6288/TJPH

书目管理工具

相关连结

问题回报

全文下载

台湾使用自动化编码系统与国际疾病分类第十版对死因统计之影响：双轨编码研究

Impact of automated coding system implementation based on ICD-10 on mortality statistics in Taiwan: a bridge coding study

吕宗学(Tsung-Hsueh Lu)

台湾公共卫生杂志； 39 卷 5 期 (2020 / 10 / 28) ， P578 - 597

繁体中文 DOI： 10.6288/TJPH.202010_39(5).109039

死因统计；可比较性研究；双轨编码研究；国际疾病分类；死亡率趋势； cause of death statistics ； comparability study ； bridge coding study ； International Classification of Disease ； mortality/trends

0 个人觉得这篇文章赞

摘要 │ 参考文献 (39) │ 被引用文献 (2) │ 国际计量

摘要〈TOP〉

并列摘要〈TOP〉

Objectives: To assess the effects of implementing an automated coding system and the International Classification of Disease (ICD) 10th Revision (ICD-10) on mortality statistics in Taiwan. Methods: We used a new automated coding system based on ICD-10 (automatic ICD- 10) to assign the underlying cause of death (UCOD) for all deaths occurring in 2007. We then compared the number of deaths according to automatic ICD-10 with that coded manually by coders according to ICD-9 (manual ICD-9). The comparability ratio (CR, automatic ICD-10/ manual ICD-9) for a specific cause of death (COD) category was calculated. We assessed the impact on two mortality tabulation lists: the main (10 leading) tabulation list and the 113-category tabulation list used by the US National Center for Health Statistics. Results: The three leading CODs were the same according to both methods: malignant neoplasm, heart diseases, and cerebrovascular diseases. However, compared with manual ICD-9, automatic ICD-10 recorded 2,544 more deaths for malignant neoplasm, 2,274 more deaths for heart diseases, and 2,144 fewer deaths for cerebrovascular diseases. In all, 1,165 deaths were recorded under the bronchitis, emphysema, and asthma category, which ranked 12th according to manual ICD-9. By contrast, 5,314 deaths were recorded under the chronic lower respiratory disease category, which ranked 7th according to automatic ICD-10. Three CODs had CR ＞ 2: septicemia (2.751), viral hepatitis (2.385), and essential hypertension and hypertensive renal disease (2.102). By contrast, two CODs had CR ＜ 0.7: Alzheimer's disease (0.250) and chronic and unspecified bronchitis (0.638). Conclusions: The results of this bridge coding study indicated large differences between the new and old methods in some COD categories. Two possible reasons are identified for this discrepancy. First, the level and range of codes included in the corresponding tabulation COD categories were different. Second, many medical certifiers recorded more specific COD diagnoses as the second and third diagnoses, which resulted in differences in judgment between coders and the automated system when assigning the UCOD. We recommend three measures when examining cause-specific mortality trends before and after 2008 in Taiwan. First, large differences in the level and range of codes included in corresponding COD categories should be evaluated. Second, the CR should be used for adjustment. Third, multiple COD data should be analyzed as a complement.

参考文献 ( 39 ) 〈TOP〉

Anderson, RN,Minino, AM,Hoyert, DL,Rosenberg, HM(2001).Comparability of cause of death between ICD9 and ICD-10: preliminary estimates.Natl Vital Stat Rep,49,1-32.
Anderson, RN,Rosenberg, HM(2003).Disease classification: measuring the effect of the Tenth Revision of the International Classification of Diseases on cause-of-death data in the United States.Stat Med,22,1551-1570.
Arrundale, J,Cole, S,Fraser, L,Hannah, J,Lamb, H(1999).Automatic coding of cause of death: the use of the U.S. systems in Scotland, preliminary results from a bridge-coding exercise.Proceedings of the International Collaborative Effort on Automating Mortality Statistics,Hyattsville, MD:
Brock, A,Griffiths, C,Rooney, C(2004).The effect of the introduction of ICD-10 on cancer mortality trends in England and Wales.Health Stat Q,23,7-17.
Brock, A,Griffiths, C,Rooney, C(2006).The impact of introducing ICD-10 on analysis of respiratory mortality trends in England and Wales.Health Stat Q,29,9-17.

被引用文献 ( 2 ) 〈TOP〉

国际计量

〈TOP〉

E-mail ：

文章公开取用时，将寄通知信至您填写的信箱地址