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[Individual-based statistics on drug utilization]

J Hallas1, A Nissen

  • 1Odense Universitet, afdeling for klinisk farmakologi.

Ugeskrift for Laeger
|January 1, 1996
PubMed
Summary
This summary is machine-generated.

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Heavy drug use in Denmark is linked to severe illness, not irresponsible prescribing. Analyzing prescription data reveals detailed population drug consumption patterns and identifies heavy users, who represent a small percentage but significant drug sales volume.

Area of Science:

  • Pharmacoepidemiology
  • Health Informatics
  • Public Health

Context:

  • The Danish National Health Service Pharmacy prescription database offers detailed, person-identifiable data on drug consumption.
  • Computerized systems enable granular analysis of population drug use patterns.
  • Understanding heavy drug use is crucial for resource allocation and patient care.

Purpose:

  • To explore the utility of a computerized prescription database for analyzing population drug use.
  • To specifically characterize heavy drug users within the Danish population.
  • To investigate the prescribing patterns and disease associations of heavy drug users.

Summary:

  • An analysis of 890,352 prescriptions in Odense (1991) identified 2,388 heavy drug users (defined as >2000 defined daily doses annually).

Related Experiment Videos

  • Heavy drug users constituted 1.4% of the adult population, accounting for 22.9% of total drug sales.
  • Their drug use was concentrated in specific therapeutic classes (median 47%) and primarily prescribed by a single physician (median 97%), suggesting disease-driven use.

    • Impact:

    • Heavy drug use is predominantly associated with severe underlying diseases rather than irresponsible prescribing.
    • The study demonstrates the value of individual-level prescription data for epidemiological analysis.
    • Regular analysis of such data can reveal subtle clinical drug use trends missed by wholesale data.