The importance of redistribution process of ill-defined deaths in national mortality database

Aline Scohy1, Tina Lesnik2, Brecht Devleesschauwer1,3

  • 1Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.

Insights

Ill-defined deaths (IDDs) are reallocated to specific causes using a four-step probabilistic method. This approach enhances epidemiological data quality and aids international comparisons in public health research.

Area of Science:

  • Epidemiology
  • Public Health
  • Biostatistics

Background:

  • Causes of Death (CoDs) statistics are vital for epidemiological research.
  • Ill-defined deaths (IDDs), or 'garbage codes,' lack specificity for public health.
  • Redistribution reallocates IDDs to plausible underlying causes, aligning with Global Burden of Disease (GBD) standards.

Discussion:

  • A four-step probabilistic redistribution method was applied to Belgian national mortality data.
  • This method involves predefined ICD codes, package redistribution using Multiple Causes of Death (MCOD) data, internal redistribution, and redistribution to all causes.
  • Challenges included computational capacity limitations and the absence of MCOD data.

Key Insights:

  • Belgium, France, and Slovenia had significant IDD shares in 2017 (34%, 36%, 20%).
  • Predefined ICD-10 codes and MCOD-based package redistribution were primary methods in Belgium and France.
  • Harmonized redistribution approaches improve transparency and enable cross-country comparisons.

Outlook:

  • Further research is recommended to develop a standardized consensus list of IDDs.
  • Aligning IDD definitions with national mortality databases across European countries is crucial.
  • Enhancing computational capacity and MCOD data availability are key for robust redistribution.

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