Literature DB >> 8091157

Multiple cause-of-death data as a tool for detecting artificial trends in the underlying cause statistics: a methodological study.

B I Lindahl1, L A Johansson.   

Abstract

The aims of the study were: (i) to identify trends in the underlying cause-of-death statistics that are due to changes in the coders' selection and coding of causes, and (ii) to identify changes in the coders' documented registration principles that can explain the observed trends in the statistics. 31 Basic Tabulation List categories from the Swedish national cause-of-death register for 1970-1988 were studied. The coders' tendency to register a condition as the underlying cause of death (the underlying cause ratio) was estimated by dividing the occurrence of the condition as underlying cause (the underlying cause rate) with the total registration of the condition (the multiple cause rate). When the development of the underlying cause rate series followed more closely the underlying cause ratio series than the multiple cause rate series, and a corresponding change in the registration rules could be found, the underlying cause rate trend was concluded to be due to changes in the coders' tendency to register the condition. For thirteen categories (fourteen trends), the trends could be explained by changes in the coders' interpretation practice: five upward, four insignificant, and five downward trends. In addition, for three categories the trends could be explained by new explicit ICD-9 rules.

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Mesh:

Year:  1994        PMID: 8091157     DOI: 10.1177/140349489402200211

Source DB:  PubMed          Journal:  Scand J Soc Med        ISSN: 0300-8037


  6 in total

1.  Ill-defined and multiple causes on death certificates--a study of misclassification in mortality statistics.

Authors:  M D'Amico; E Agozzino; A Biagino; A Simonetti; P Marinelli
Journal:  Eur J Epidemiol       Date:  1999-02       Impact factor: 8.082

2.  Drowning surveillance: how well do E codes identify submersion fatalities.

Authors:  G S Smith; J D Langley
Journal:  Inj Prev       Date:  1998-06       Impact factor: 2.399

3.  How can the national burden of Parkinson's disease comorbidity and mortality be estimated for the Japanese population?

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Journal:  J Epidemiol       Date:  2011-03-12       Impact factor: 3.211

4.  An Automated Method of Causal Inference of the Underlying Cause of Death of Citizens.

Authors:  Xu Yang; Hongsheng Ma; Keyan Gao; Hui Ge
Journal:  Life (Basel)       Date:  2022-07-28

5.  The Swedish cause of death register.

Authors:  Hannah Louise Brooke; Mats Talbäck; Jesper Hörnblad; Lars Age Johansson; Jonas Filip Ludvigsson; Henrik Druid; Maria Feychting; Rickard Ljung
Journal:  Eur J Epidemiol       Date:  2017-10-05       Impact factor: 8.082

6.  An Automatic Approach Designed for Inference of the Underlying Cause-of-Death of Citizens.

Authors:  Hui Ge; Keyan Gao; Shaoqiong Li; Wei Wang; Qiang Chen; Xialv Lin; Ziyi Huan; Xuemei Su; Xu Yang
Journal:  Int J Environ Res Public Health       Date:  2021-03-02       Impact factor: 3.390

  6 in total

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