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The impact of different coding systems on DRG assignment and data.

B Reid1

  • 1School of Health Services Management, University of New South Wales, Kensington, Australia.

Health Policy (Amsterdam, Netherlands)
|February 8, 1991
PubMed
Summary
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Mapping coded data for international hospital casemix comparisons using Diagnosis Related Groups (DRG) has minimal impact. Only 7.8% of DRGs are affected, suggesting robust cross-border analysis is possible.

Area of Science:

  • Health Services Research
  • Medical Informatics
  • Health Economics

Background:

  • The Diagnosis Related Group (DRG) system is crucial for comparing hospital casemix internationally.
  • International comparisons rely on mapping local coding systems to the International Classification of Diseases 9th Revision Clinical Modification (ICD9CM).
  • Understanding the impact of this mapping process is essential for accurate casemix analysis.

Purpose of the Study:

  • To assess the impact of mapping different national coding systems to ICD9CM on DRG classification.
  • To identify specific medical and surgical DRGs affected by mapping issues.
  • To evaluate the overall effect of mapping on international casemix comparisons.

Main Methods:

  • Analysis of national classification systems and their mapping to ICD9CM.

Related Experiment Videos

  • Examination of mapping tables and resulting DRG data.
  • Distinguishing mapping problems from inherent coding practice differences.

    • Main Results:

    • Mapping coded data has a limited impact on the overall DRG classification.
    • Only 37 DRGs (7.8%), including 15 medical and 22 surgical classes, were affected by mapping problems.
    • The scale of mapping-related issues is not substantial for international comparisons.

    Conclusions:

    • The use of mapped data in DRG classification does not significantly alter casemix comparisons.
    • Despite the limited impact, a standardized surgical classification system for Europe is recommended due to the diversity of current systems.
    • Accurate international casemix analysis is feasible with current mapping practices, though standardization could further enhance it.