論文

査読有り
2009年10月

Usage of the .9 Codes of the ICD-10 for Japanese Mortality Statistics

ACTA MEDICA OKAYAMA
  • Tadahiro Ohtsu
  • ,
  • Akatsuki Kokaze
  • ,
  • Naoki Shimada
  • ,
  • Yoshitaka Kaneita
  • ,
  • Takako Shirasawa
  • ,
  • Hirotaka Ochiai
  • ,
  • Takashi Ohida

63
5
開始ページ
281
終了ページ
286
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.18926/AMO/31844
出版者・発行元
OKAYAMA UNIV MED SCHOOL

The structural deficits and problems associated with application of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) were investigated. For this purpose, mortality statistics in Japan were examined for bias in the proportions of death causes classified using the ICD-10 four-character subcategory system, particularly the large distribution of cases classified under the .9 (unspecified) codes. The results showed that most deaths due to the 3 major causes were coded into the .9 subcategories. For example, 97.6% of the 607,065 deaths between 1995 and 2007 classified as I21 (acute myocardial infarction) were coded as I21.9 (acute myocardial infarction, unspecified). This suggests that the quality of the data recorded on many death certificates is poor. Thus, to ensure that the fourth-digit-level subcategories of the ICD-10 code system are effectively used to represent mortality data and actual causes of death in Japan, future studies should address the following objectives: (1) to minimize the discrepancy between the ICD classification terms and the names of diseases actually used in clinical practice, and (2) to actively raise awareness among physicians about the need to accurately record death causes on death certificates, since these records form the basis for determining mortality statistics in Japan.

リンク情報
DOI
https://doi.org/10.18926/AMO/31844
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/19893604
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000271132000008&DestApp=WOS_CPL
ID情報
  • DOI : 10.18926/AMO/31844
  • ISSN : 0386-300X
  • PubMed ID : 19893604
  • Web of Science ID : WOS:000271132000008

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