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[Mortality statistics in Germany. Problems and perspectives].

T Schelhase1, S Weber

  • 1Statistisches Bundesamt, Bonn, BRD. torsten.schelhase@destatis.de

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
|June 22, 2007
PubMed
Summary
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Automated coding systems can improve the quality and comparability of causes of death statistics by processing all listed causes and identifying the underlying cause. This enhances health indicator monitoring and policy recommendations.

Area of Science:

  • Public Health Surveillance
  • Medical Informatics
  • Biostatistics

Context:

  • Causes of death statistics are vital for monitoring health trends and informing policy.
  • Current statistics face criticism regarding data comparability and a focus on single underlying causes.
  • Limitations stem from data processing methods in statistical offices.

Purpose:

  • To introduce an automated coding system for processing death certificate information.
  • To address limitations in current causes of death statistics, specifically comparability and mono-causality.
  • To enable routine multiple-cause of death coding.

Summary:

  • An automated coding system can code all causes of death listed on a certificate.
  • This system automatically selects the underlying cause of death.

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  • It resolves issues of restricted comparability and mono-causal limitations in statistical data.

    • Impact:

    • Improved accuracy and comparability of causes of death data.
    • Enhanced ability to monitor health indicators and guide public health policy.
    • Facilitates advanced epidemiological research through multiple-cause analysis.