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Drug data coding and analysis in epidemiologic studies

M Pahor1, E A Chrischilles, J M Guralnik

  • 1Chair of Gerontology, Catholic University, Rome, Italy.

European Journal of Epidemiology
|August 1, 1994
PubMed
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Efficient medication coding in epidemiologic studies simplifies data entry and analysis. Using hierarchical drug classification systems like DPICS and ATC enhances the utilization of comprehensive medication data in large surveys.

Area of Science:

  • Epidemiology
  • Pharmacology
  • Health Informatics

Background:

  • Comprehensive medication data in epidemiologic studies is often underutilized due to the complexity of managing numerous drug names.
  • Efficient data management is crucial for leveraging detailed medication information in large-scale health research.

Purpose of the Study:

  • To demonstrate the advantage of using dual coding systems for medication data in epidemiologic studies.
  • To improve efficiency of data entry and facilitate drug analysis through hierarchical categorization.

Main Methods:

  • Described the approach used in the US-based Established Populations for Epidemiologic Studies of the Elderly (EPESE) and the Italian 'Gruppo Italiano di Farmacovigilanza nell' Anziano' (GIFA) surveys.
  • Utilized specific coding systems for data entry: Drug Products Information Coding System (DPICS), Iowa Nonprescription Drug Products Information Coding System (INDPICS), and the Italian Ministry of Health system (MINSAN).

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  • Converted entry codes into hierarchical systems: Iowa Drug Information System (IDIS) ingredient codes for EPESE and Anatomical Therapeutic and Chemical (ATC) codes for GIFA, to organize drug ingredients.

    • Main Results:

    • Implemented distinct coding systems for efficient data entry (DPICS, INDPICS, MINSAN).
    • Employed hierarchical coding systems (IDIS, ATC) to categorize drug ingredients for simplified analysis.
    • Demonstrated the analytic benefits of these coding strategies using examples, such as the coding of diuretics.

    Conclusions:

    • Dual coding systems significantly enhance the efficiency of data entry and the analytical utility of medication data in large epidemiologic studies.
    • Hierarchical drug classification facilitates the organization and analysis of complex medication information, improving research outcomes.
    • The described methods provide a framework for better utilization of medication databases in epidemiological research.