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Nosological coding of cause of death

Insights

Nosologists showed high agreement in coding causes of death from death certificates for the Hypertension Detection and Follow-up Program. Agreement improved with broader disease categories, aiding accurate mortality data analysis.

Area of Science:

  • Medical Informatics
  • Public Health Surveillance
  • Epidemiology

Background:

  • Accurate coding of underlying cause of death is crucial for epidemiological studies and public health surveillance.
  • The Hypertension Detection and Follow-up Program (HDP) collected vital data from 1973-1979, requiring reliable mortality data analysis.

Purpose of the Study:

  • To assess interobserver and intraobserver variability in coding underlying cause of death using International Classification of Diseases, Adapted (ICDA) codes.
  • To evaluate the reliability of cause-of-death coding for participants of the Hypertension Detection and Follow-up Program.

Main Methods:

  • Three nosologists independently coded underlying causes of death from 766 death certificates of HDP participants.
  • Interobserver agreement was assessed for all three nosologists and pairwise.
  • Intraobserver agreement was assessed on a 20% recoded sample of death certificates.

Main Results:

  • High agreement was observed: 90.2% for three-digit ICDA code agreement among all three nosologists and 99.7% for at least two out of three.
  • Agreement rates improved when ICDA codes were grouped into broader categories relevant to the HDP.
  • Specific disease classifications showed varying agreement: neoplasms had the highest agreement (97.8%), while myocardial infarction had the lowest (86.5%).
  • Intraobserver agreement rates for three-digit ICDA codes ranged from 94.8% to 96.1%.

Conclusions:

  • Nosologists demonstrated substantial agreement in coding causes of death, supporting the reliability of mortality data from the HDP.
  • Utilizing broader disease categories enhances coding consistency, which is vital for large-scale epidemiological research.
  • The findings validate the use of ICDA coding for analyzing mortality patterns in hypertension studies.

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