Literature DB >> 2522181

[Coding of cause of death for mortality statistics--a comparison with results of coding by various statistical offices of West Germany and West Berlin].

K Giersiepen, E Greiser.   

Abstract

1.136 death certificates representing all 1985 Bremen cardiovascular deaths and a 50%-sample of non-cardiovascular deaths in the age group 25-69 years were analyzed for reliability of nosologists' coding according to ICD-coding rules (9th revision). The 1.136 photocopied death certificates were used to assess intra-observer-variation in Bremen and to determine inter-observer-variation among 7 nosologists from 6 different State Statistical Offices and the Federal Statistical Office. Intra-observer-agreement in Bremen was found to be similar to the results presented in a comparable US-study: Bremen: 92.1%; Curb et al. 1983: 94.8%-96.1%; 3-digit-ICD-Code. Inter-observer-agreement was found to be much lower in Germany than in two US-studies: 3 coders agreeing on 3-digit-ICD-Code: Bremen: 67.7% (average, 3 coders out of 7); Curb et al.: 90.2% (3 coders); 3 coders agreeing on 4-digit-ICD-Code: Bremen: 61.5%; NCHS 1980: 90.3%. Agreement-rates were also much lower in Germany than in the USA (Curb et al.) when particular disease groups were analysed: Ischaemic heart disease (ICD 410-414): Bremen: 82.7% (average); USA: 97.2%; cerebrovascular disease (ICD 430-438): Bremen 65.6% (average); USA: 93.2%; neoplasms (ICD 140-239): Bremen: 94.0% (average); USA: 97.8%. We conclude that training, individual characteristics of nosologists, and other factors may cause important artifacts when comparing German mortality statistics on a regional level or during different time intervals.

Entities:  

Mesh:

Year:  1989        PMID: 2522181

Source DB:  PubMed          Journal:  Offentl Gesundheitswes        ISSN: 0029-8573


  6 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.  Reliability of coding causes of death with ICD-10 in Germany.

Authors:  Volker Winkler; Jördis J Ott; Heiko Becher
Journal:  Int J Public Health       Date:  2009-07-28       Impact factor: 3.380

3.  [Historical cohort study in the German rubber industry: goals, study design and data collection].

Authors:  T Birk; S K Weiland; J Schumann; M Person; K Mundt; U Keil
Journal:  Soz Praventivmed       Date:  1995

4.  Neonatal and postneonatal mortality in Germany since unification.

Authors:  E Nolte; A Brand; I Koupilová; M McKee
Journal:  J Epidemiol Community Health       Date:  2000-02       Impact factor: 3.710

5.  All-cause and cardiovascular mortality among ethnic German immigrants from the Former Soviet Union: a cohort study.

Authors:  Ulrich Ronellenfitsch; Catherine Kyobutungi; Heiko Becher; Oliver Razum
Journal:  BMC Public Health       Date:  2006-01-26       Impact factor: 3.295

6.  Implementation of an algorithm for the identification of breast cancer deaths in German health insurance claims data: a validation study based on a record linkage with administrative mortality data.

Authors:  Ingo Langner; Christoph Ohlmeier; Ulrike Haug; Hans Werner Hense; Jonas Czwikla; Hajo Zeeb
Journal:  BMJ Open       Date:  2019-07-26       Impact factor: 2.692

  6 in total

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