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Related Experiment Videos

Linking prescription and patient-identifying data: a pilot study.

S F Hurley1, J J McNeil, D J Jolley

  • 1Cancer Epidemiology Centre, Vic.

The Medical Journal of Australia
|March 16, 1992
PubMed
Summary

This study linked prescription data to patient information to analyze drug use in Australia. Cardiovascular drug prescribing was most common, with higher rates in females and older individuals.

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Area of Science:

  • Pharmaceutical policy and drug utilization research.
  • Public health and epidemiology.
  • Health services research.

Background:

  • Understanding medication prescribing patterns is crucial for public health.
  • Linking prescription data with patient demographics can reveal prescribing trends.
  • Previous studies lacked comprehensive data on drug use by age and sex in specific populations.

Purpose of the Study:

  • To link Pharmaceutical Benefits Scheme (PBS) prescription data with Health Insurance Commission (HIC) patient data.
  • To determine the prevalence of prescribing for cardiovascular drugs, NSAIDs, hypnotics/minor tranquillizers, and diuretics by age and sex.
  • To investigate the impact of age, sex, and region on drug prescribing patterns.

Main Methods:

  • Matched PBS prescription data with HIC patient-identifying information for a three-month period in 1985.

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  • Analyzed a database of 65,087 residents across two rural Australian regions.
  • Utilized logistic regression to assess the influence of age, sex, and region on prescribing prevalence.

    • Main Results:

    • Successfully matched 96% of 101,383 prescriptions with HIC data.
    • Prevalence rates: cardiovascular drugs (10.4%), NSAIDs (5.8%), hypnotics/minor tranquillizers (3.5%), and diuretics (2.5%).
    • Prescribing rates were higher in females, increased with age, and varied by region; notably, 5% of women aged 30-39 used diuretics without other cardiovascular drugs, versus 0.2% of men.

    Conclusions:

    • Demonstrated the utility of a patient-identified prescription database for drug utilization review.
    • Highlighted the potential for therapeutic audits and hypothesis generation using linked data.
    • Provided insights into demographic variations in drug prescribing within Australian rural populations.