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Related Experiment Videos

A statistical analysis system macro for age-standardized incidence rates

P Immonen-Räihä1, S Hätönen, J Torppa

  • 1Health Office of the City of Turku Taloustoimisto, Finland.

Computer Methods and Programs in Biomedicine
|August 1, 1994
PubMed
Summary

A new SAS macro provides instant age-specific disease rates using World Health Organization (WHO) MONICA project methods. This tool aids cardiovascular disease monitoring and analysis from patient data.

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Area of Science:

  • Biostatistics
  • Epidemiology
  • Health Informatics

Background:

  • Cardiovascular disease monitoring requires accurate, age-specific incidence rates.
  • Existing methods for calculating these rates can be complex and time-consuming.
  • The World Health Organization's MONICA project established standardized methods for cardiovascular disease surveillance.

Purpose of the Study:

  • To develop a SAS macro for automated calculation of age-specific disease rates.
  • To implement the statistical methods of the WHO MONICA project within a user-friendly SAS macro.
  • To facilitate the analysis of cardiovascular disease trends using routinely collected patient data.

Main Methods:

  • A SAS macro was designed to process patient data from SAS files.

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  • The macro utilizes age-specific rates calculation methods aligned with the WHO MONICA project.
  • Segi's world population was employed as the standard for age-standardization, with weights calculated over five years.

    • Main Results:

    • The SAS macro successfully generated age-standardized incidence rates for acute myocardial infarction.
    • Corresponding standard deviations were accurately calculated.
    • The macro demonstrated the capability to standardize incidence rates for any disease, providing instant results.

    Conclusions:

    • The developed SAS macro offers an efficient and accurate method for calculating age-specific disease rates.
    • This tool supports epidemiological surveillance and trend analysis, particularly for cardiovascular diseases.
    • The macro's flexibility allows for the standardization of incidence rates for diverse diseases, enhancing public health research.