Skip to main content
Erschienen in: European Journal of Epidemiology 8/2010

01.08.2010 | METHODS

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

verfasst von: Peter Harteloh, Kim de Bruin, Jan Kardaun

Erschienen in: European Journal of Epidemiology | Ausgabe 8/2010

Einloggen, um Zugang zu erhalten

Abstract

Cause-of-death statistics are a major source of information for epidemiological research or policy decisions. Information on the reliability of these statistics is important for interpreting trends in time or differences between populations. Variations in coding the underlying cause of death could hinder the attribution of observed differences to determinants of health. Therefore we studied the reliability of cause-of-death statistics in the Netherlands. We performed a double coding study. Death certificates from the month of May 2005 were coded again in 2007. Each death certificate was coded manually by four coders. Reliability was measured by calculating agreement between coders (intercoder agreement) and by calculating the consistency of each individual coder in time (intracoder agreement). Our analysis covered an amount of 10,833 death certificates. The intercoder agreement of four coders on the underlying cause of death was 78%. In 2.2% of the cases coders agreed on a change of the code assigned in 2005. The (mean) intracoder agreement of four coders was 89%. Agreement was associated with the specificity of the ICD-10 code (chapter, three digits, four digits), the age of the deceased, the number of coders and the number of diseases reported on the death certificate. The reliability of cause-of-death statistics turned out to be high (>90%) for major causes of death such as cancers and acute myocardial infarction. For chronic diseases, such as diabetes and renal insufficiency, reliability was low (<70%). The reliability of cause-of-death statistics varies by ICD-10 code/chapter. A statistical office should provide coders with (additional) rules for coding diseases with a low reliability and evaluate these rules regularly. Users of cause-of-death statistics should exercise caution when interpreting causes of death with a low reliability. Studies of reliability should take into account the number of coders involved and the number of codes on a death certificate.
Literatur
1.
Zurück zum Zitat van Sonsbeek JLA. Van de schaduw des doods tot een licht ten leven. De historie van de methodiek van de doodsoorzakenstatistiek in Nederland 1865-2005. Voorburg/Heerlen: Centraal Bureau voor de statistiek; 2005. van Sonsbeek JLA. Van de schaduw des doods tot een licht ten leven. De historie van de methodiek van de doodsoorzakenstatistiek in Nederland 1865-2005. Voorburg/Heerlen: Centraal Bureau voor de statistiek; 2005.
2.
Zurück zum Zitat Rosenberg HM. Cause-of-death as a contemporary problem. J Hist Med Allied Sci. 1999;54:133–53.CrossRefPubMed Rosenberg HM. Cause-of-death as a contemporary problem. J Hist Med Allied Sci. 1999;54:133–53.CrossRefPubMed
3.
Zurück zum Zitat WHO. World Health Organisation. International Statistical Classification of Diseases and Related Health Problems. Tenth Revision. Geneva: WHO; 1992. WHO. World Health Organisation. International Statistical Classification of Diseases and Related Health Problems. Tenth Revision. Geneva: WHO; 1992.
4.
Zurück zum Zitat Franca E, de Abreu DX, Rao Ch, Lopez AD. Evaluation of cause-of-death statistics in Brazil, 2002–2004. Int J Epidemiol. 2008;37:891–901.PubMed Franca E, de Abreu DX, Rao Ch, Lopez AD. Evaluation of cause-of-death statistics in Brazil, 2002–2004. Int J Epidemiol. 2008;37:891–901.PubMed
5.
Zurück zum Zitat Anderson RN, Rosenberg HM. 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. 2003;22:1551–70.CrossRefPubMed Anderson RN, Rosenberg HM. 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. 2003;22:1551–70.CrossRefPubMed
6.
Zurück zum Zitat Curb JD, Babcock C, Pressel S, Tung B, Remmington RD, Hawkins CM. Nosological coding of cause-of-death. Am J Epidemiol. 1983;118:122–8.PubMed Curb JD, Babcock C, Pressel S, Tung B, Remmington RD, Hawkins CM. Nosological coding of cause-of-death. Am J Epidemiol. 1983;118:122–8.PubMed
7.
Zurück zum Zitat Chen L, Walker S, Tong S. The impact of the variation in death certification and coding practices on trends in mortality from ischaemic heart disease. Australian Health Review. 2002;25:189–96.CrossRefPubMed Chen L, Walker S, Tong S. The impact of the variation in death certification and coding practices on trends in mortality from ischaemic heart disease. Australian Health Review. 2002;25:189–96.CrossRefPubMed
8.
Zurück zum Zitat Treurniet HF, Boshuizen HC, Harteloh PPM. Avoidable mortality in Europe (1980–1997): a comparison of trends. J Epidemiol Communitry Health. 2004;58:290–5.CrossRef Treurniet HF, Boshuizen HC, Harteloh PPM. Avoidable mortality in Europe (1980–1997): a comparison of trends. J Epidemiol Communitry Health. 2004;58:290–5.CrossRef
9.
Zurück zum Zitat Parker MJ, Anand JK. What is the true mortality of hip fractures? Public Health. 1991;105:443–6.CrossRefPubMed Parker MJ, Anand JK. What is the true mortality of hip fractures? Public Health. 1991;105:443–6.CrossRefPubMed
10.
Zurück zum Zitat Schade B. Reliability and validity of the classification of death in general practice. Scan J Prim Health Care. 1987;5:109–12.CrossRef Schade B. Reliability and validity of the classification of death in general practice. Scan J Prim Health Care. 1987;5:109–12.CrossRef
11.
Zurück zum Zitat Kircher T, Nelson J, Burdo H. The autopsy as a measure of accuracy of the death certificate. N Engl J Med. 1985;313:1263–9.CrossRefPubMed Kircher T, Nelson J, Burdo H. The autopsy as a measure of accuracy of the death certificate. N Engl J Med. 1985;313:1263–9.CrossRefPubMed
12.
Zurück zum Zitat Brennan P, Silman A. Satistical methods for assessing observer variability in clinical measures. Br Med J. 1992;304:1491–4.CrossRef Brennan P, Silman A. Satistical methods for assessing observer variability in clinical measures. Br Med J. 1992;304:1491–4.CrossRef
13.
Zurück zum Zitat Boyle P, Parkin DM. Cancer registration: principles and methods. Statistical methods for registries. Lyon: IARC; 1991. Boyle P, Parkin DM. Cancer registration: principles and methods. Statistical methods for registries. Lyon: IARC; 1991.
14.
Zurück zum Zitat Maudsley G, Williams EMI. ‘Inaccuracy’ in death certification—where are we now? J Public Health Med. 1996;18:59–66.PubMed Maudsley G, Williams EMI. ‘Inaccuracy’ in death certification—where are we now? J Public Health Med. 1996;18:59–66.PubMed
15.
Zurück zum Zitat Lu TH, Shou WY, Shih TP. Factors associated with errors in death certificate completion: a national study in Taiwan. J clin Epidemiology. 2001;54:232–8.CrossRef Lu TH, Shou WY, Shih TP. Factors associated with errors in death certificate completion: a national study in Taiwan. J clin Epidemiology. 2001;54:232–8.CrossRef
16.
Zurück zum Zitat World Health Organisation (WHO). International statistical classification of diseases and related health problems. Tenth Revision, vol. 2. Geneva: WHO; 1993. p. 39. World Health Organisation (WHO). International statistical classification of diseases and related health problems. Tenth Revision, vol. 2. Geneva: WHO; 1993. p. 39.
17.
Zurück zum Zitat National Centre for Health Statistics (NCHS). A methodological study of quality control procedures for mortality medical coding. DHEW Publications No. (PHS) 80-1355. Hyattsville: NCHS, 1980. National Centre for Health Statistics (NCHS). A methodological study of quality control procedures for mortality medical coding. DHEW Publications No. (PHS) 80-1355. Hyattsville: NCHS, 1980.
18.
Zurück zum Zitat Leitner B. Control of coding in Austria. Luxembourg: Eurostat, TG-COD; 2006. Leitner B. Control of coding in Austria. Luxembourg: Eurostat, TG-COD; 2006.
19.
Zurück zum Zitat Giersiepen K, Greiser E. Verschlüsselung von Todesursachen fur Mortalitätsstatistieken–Vergleich von Signierergebnissen in verschiedenen statistischen Aemtern der Bundesrepublik Deutschland und West-Berlins. Oeffentliche Gesundh.-Wes. 1989;51:40–7. Giersiepen K, Greiser E. Verschlüsselung von Todesursachen fur Mortalitätsstatistieken–Vergleich von Signierergebnissen in verschiedenen statistischen Aemtern der Bundesrepublik Deutschland und West-Berlins. Oeffentliche Gesundh.-Wes. 1989;51:40–7.
20.
Zurück zum Zitat Winkler V, Ott JJ, Becher H. Reliability of coding causes of death with ICD-10 in Germany. Int J Public Health. 2010;55:43–8.CrossRefPubMed Winkler V, Ott JJ, Becher H. Reliability of coding causes of death with ICD-10 in Germany. Int J Public Health. 2010;55:43–8.CrossRefPubMed
21.
Zurück zum Zitat National Board of Health and Welfare (Sweden). Dödsorsaker 2006. Stockholm: Statistics Sweden, 2006. National Board of Health and Welfare (Sweden). Dödsorsaker 2006. Stockholm: Statistics Sweden, 2006.
22.
Zurück zum Zitat Minder ChE. Zur Qualität der Schlüsselung der Todesursachen in der Schweiz. Sozial-und Präventivmedizin. 1984;29:248–50. Minder ChE. Zur Qualität der Schlüsselung der Todesursachen in der Schweiz. Sozial-und Präventivmedizin. 1984;29:248–50.
23.
Zurück zum Zitat Lu TH, Lee MC, Chou MC. Accuracy of cause-of-death coding in Taiwan: types of miscoding and effect on motality statistics. Int J Epidemiol. 2000;29:336–43.CrossRefPubMed Lu TH, Lee MC, Chou MC. Accuracy of cause-of-death coding in Taiwan: types of miscoding and effect on motality statistics. Int J Epidemiol. 2000;29:336–43.CrossRefPubMed
24.
Zurück zum Zitat Birch D. Automatic coding of causes of death. Popul Trends. 1993;15:53–6. Birch D. Automatic coding of causes of death. Popul Trends. 1993;15:53–6.
25.
Zurück zum Zitat Lu TH. Using ACME software to monitor and improve the quality of death statistics. J Epidemiology Community Health. 2003;57:470–3.CrossRef Lu TH. Using ACME software to monitor and improve the quality of death statistics. J Epidemiology Community Health. 2003;57:470–3.CrossRef
26.
Zurück zum Zitat Th Lu, Tsau SM, Wu TC. The automated classification of medical entities (ACME) system objectively assessed the approriateness of underlying cause-of-death certification and assignment. J Clin Epidemiol. 2005;58:1277–81.CrossRef Th Lu, Tsau SM, Wu TC. The automated classification of medical entities (ACME) system objectively assessed the approriateness of underlying cause-of-death certification and assignment. J Clin Epidemiol. 2005;58:1277–81.CrossRef
27.
Zurück zum Zitat Pavillon G, Coleman M, Johansson LA, Jougla E, Kardaun J. Coding of causes of death in European community. Luxembourg: Eurostat; 1998 (report 96/S 99-57617/EN). Pavillon G, Coleman M, Johansson LA, Jougla E, Kardaun J. Coding of causes of death in European community. Luxembourg: Eurostat; 1998 (report 96/S 99-57617/EN).
Metadaten
Titel
The reliability of cause-of-death coding in The Netherlands
verfasst von
Peter Harteloh
Kim de Bruin
Jan Kardaun
Publikationsdatum
01.08.2010
Verlag
Springer Netherlands
Erschienen in
European Journal of Epidemiology / Ausgabe 8/2010
Print ISSN: 0393-2990
Elektronische ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-010-9445-5

Weitere Artikel der Ausgabe 8/2010

European Journal of Epidemiology 8/2010 Zur Ausgabe