Literature DB >> 6516584

[Quality of coding of causes of death in Switzerland].

C E Minder.   

Abstract

This article summarizes the results of a recoding study, the design of which has been presented elsewhere (ref. 4). Results on underlying cause of death are presented as validity (comparison with coding of a medical expert) and reliability (comparison of repeated FSO internal codings). Validity problems occur chiefly with cardiopathies and cerebrovascular disease and in old age. Valitity of coding of cancer is generally satisfactory, although an estimated 7% overcoding occurs. An estimated 63% of deaths fall into reliably coded cause-of-death categories, but again problems occur with cardiopathies and old agegroups. For the analysis of trends in cardiopathies, ne needs to consider simultaneously the evolution of the numbers of deaths with cancer of breast and prostate, hypertension and arteriosclerosis, and diseases of connective tissue, skin and skeleton.

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Year:  1984        PMID: 6516584     DOI: 10.1007/bf02078258

Source DB:  PubMed          Journal:  Soz Praventivmed        ISSN: 0303-8408


  1 in total

1.  [Quality of statistics on causes of death: current problems and prospects].

Authors:  M F Paccaud
Journal:  Forum Stat       Date:  1982-02
  1 in total
  4 in total

1.  The reliability of cause-of-death coding in The Netherlands.

Authors:  Peter Harteloh; Kim de Bruin; Jan Kardaun
Journal:  Eur J Epidemiol       Date:  2010-03-23       Impact factor: 8.082

2.  [Mortality analysis: when is single evaluation of the basic cause of death allowable, when should multi-causality be assessed?].

Authors:  V Beer; M T Schick; C E Minder
Journal:  Soz Praventivmed       Date:  1990

3.  Estimating chronic disease deaths and hospitalizations due to alcohol use in Canada in 2002: implications for policy and prevention strategies.

Authors:  Jürgen Rehm; Norman Giesbrecht; Jayadeep Patra; Michael Roerecke
Journal:  Prev Chronic Dis       Date:  2006-09-15       Impact factor: 2.830

4.  Blood glucose may be an alternative to cholesterol in CVD risk prediction charts.

Authors:  Julia Braun; Matthias Bopp; David Faeh
Journal:  Cardiovasc Diabetol       Date:  2013-01-25       Impact factor: 9.951

  4 in total

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