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Reliability of basic cancer patient data

P Feigl, L Polissar, W W Lane

    Statistics in Medicine
    |July 1, 1982
    PubMed
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    Multi-institutional cancer data pooling showed inconsistent reporting for crucial elements like disease stage. While primary site and histology were reliably coded, detailed distinctions proved difficult, impacting data consistency across institutions.

    Area of Science:

    • Oncology
    • Medical Informatics
    • Data Science

    Background:

    • Multi-institutional patient data pooling is common in cancer research.
    • Consistent data reporting across institutions is crucial for reliable analysis.

    Purpose of the Study:

    • To assess the consistency of medical chart coding across multiple institutions.
    • To identify specific data items with high disagreement rates in multi-institutional studies.

    Main Methods:

    • A standardized set of 25 medical charts was presented to coders at 18 Comprehensive Cancer Centers.
    • Coding results for 34 data items were compared to measure inter-institutional reproducibility.

    Main Results:

    • High disagreement rates were observed for coding the stage of disease (14%) and date of diagnosis (8%).

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  • Primary site and histologic type demonstrated good reproducibility (≤5% disagreement).
  • Minor disagreements indicated challenges in reliably coding detailed distinctions from medical charts.

    • Conclusions:

    • Coding consistency varies significantly across institutions for key cancer data elements.
    • Standardized data collection protocols may be needed to improve the reliability of pooled cancer data.
    • While core elements are reproducible, detailed data points require further attention for consistent coding.