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The EPIGRAM computer program for analyzing mortality and population data sets

D A Goldman1

  • 1Texas Department of Health, Austin 78756-3199.

Public Health Reports (Washington, D.C. : 1974)
|January 1, 1994
PubMed
Summary
This summary is machine-generated.

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EPIGRAM is a user-friendly computer program enhancing access to State mortality data. It offers flexible analysis of population, deaths, and death rates for public health insights.

Area of Science:

  • Public Health Informatics
  • Biostatistics
  • Health Data Analysis

Background:

  • Accessing and analyzing State-level mortality data is crucial for public health surveillance.
  • Existing methods for mortality data analysis can be complex and resource-intensive.
  • There is a need for efficient and accessible tools to process diverse demographic and cause-of-death information.

Purpose of the Study:

  • To introduce EPIGRAM, a novel computer program designed to streamline access to and analysis of State-level underlying cause mortality data.
  • To highlight the program's capabilities in generating comprehensive mortality statistics and facilitating comparative analyses.
  • To demonstrate the advantages of EPIGRAM over traditional methods for health data researchers.

Main Methods:

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  • EPIGRAM utilizes a menu-driven interface for parameter selection and modification, retaining user choices for iterative analysis.
  • The program generates detailed tables comparing mortality metrics across various demographic and geographic factors.
  • It is designed for efficient execution, minimal memory usage, and compatibility with DOS and UNIX operating systems.

    • Main Results:

    • EPIGRAM produces key mortality indicators including population, death counts, death rates, age-adjusted death rates, and Years of Potential Life Lost (YPLL).
    • The software allows for flexible comparisons across age groups, counties, causes of death, races, regions, and years.
    • Current application in Texas demonstrates its utility for analyzing State-specific mortality and population data.

    Conclusions:

    • EPIGRAM offers a flexible, efficient, and user-friendly solution for analyzing State-level mortality data.
    • Its design facilitates in-depth public health research and surveillance by simplifying complex data analysis.
    • Potential exists for broader implementation in State health departments and for analyzing other health datasets.