Literature DB >> 6869361

Nosological coding of cause of death.

J D Curb, C Babcock, S Pressel, B Tung, R D Remington, C M Hawkins.   

Abstract

Death certificates representing 766 decedents who had participated in the Hypertension Detection and Follow-up Program (1973-1979) at one of 14 US centers were given to three nosologists for purposes of coding underlying cause of death. Analyses examined interobserver variability among the three nosologists as well as intraobserver variability for each of the three nosologists. All three nosologists agreed on a three-digit International Classification of Diseases, Adapted (ICDA) code in 90.2% of the cases and at least two out of three agreed in 99.7% of the death certificates examined. Agreement rates improved when disease codes were collapsed into broader categories utilized in the Hypertension Detection and Follow-up Program. When particular disease classifications (e.g., cerebrovascular, ischemic heart disease, myocardial infarction, and neoplasms) were examined, three out of three agreement rates were highest for neoplasms (97.8%) and lowest for myocardial infarction (86.5%). Similarly, two out of three agreement was highest for neoplasms (98.5%) and lowest for myocardial infarction (88.0%). Intranosologist agreement rates were based on a recoded 20% sample of death certificates. Agreement rates for three-digit ICDA codes ranged from 94.8% to 96.1% for the three nosologists. The agreement rates for the general disease categories ranged from 96.7% to 97.4%.

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Mesh:

Year:  1983        PMID: 6869361     DOI: 10.1093/oxfordjournals.aje.a113613

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  7 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.  Improving Validity of Cause of Death on Death Certificates.

Authors:  Ryan A Hoffman; Janani Venugopalan; Li Qu; Hang Wu; May D Wang
Journal:  ACM BCB       Date:  2018-08

3.  Improving the accuracy of death certification.

Authors:  K A Myers; D R Farquhar
Journal:  CMAJ       Date:  1998-05-19       Impact factor: 8.262

4.  Concurrence of monthly variations of mortality related to underlying cause in Europe.

Authors:  D L Crombie; D M Fleming; K W Cross; R J Lancashire
Journal:  J Epidemiol Community Health       Date:  1995-08       Impact factor: 3.710

5.  Population-based estimates of mortality associated with diabetes: use of a death certificate check box in North Dakota.

Authors:  E F Tierney; L S Geiss; M M Engelgau; T J Thompson; D Schaubert; L A Shireley; P J Vukelic; S L McDonough
Journal:  Am J Public Health       Date:  2001-01       Impact factor: 9.308

6.  Cysticercosis-related deaths, California.

Authors:  Frank J Sorvillo; Lawrence Portigal; Christopher DeGiorgio; Lisa Smith; Stephen H Waterman; George W Berlin; Lawrence R Ash
Journal:  Emerg Infect Dis       Date:  2004-03       Impact factor: 6.883

7.  Status and perspectives of hospital mortality in a public urban Hellenic hospital, based on a five-year review.

Authors:  Iordanis N Papadopoulos; Maria Papaefthymiou; Leonidas Roumeliotis; Vasilios G Panagopoulos; Anna Stefanidou; Anastasia Kostaki
Journal:  BMC Public Health       Date:  2008-01-23       Impact factor: 3.295

  7 in total

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