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Mapping practice population and morbidity with a computer.

F Difford

    British Medical Journal (Clinical Research Ed.)
    |October 12, 1985
    PubMed
    Summary
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    This study introduces a grid-based mapping method using postcode data to visualize patient distribution and health trends. It enables graphical charting of geographical morbidity incidence and prevalence for statistical analysis.

    Area of Science:

    • Geographic Information Systems (GIS) in Healthcare
    • Medical Informatics
    • Public Health Surveillance

    Background:

    • General practice data management is evolving with technological advancements.
    • Visualizing patient populations and health trends geographically is crucial for effective practice management.
    • Understanding spatial variations in morbidity requires robust analytical tools.

    Purpose of the Study:

    • To present a novel method for dividing general practice areas into postcode-based grids.
    • To demonstrate the graphical representation of practice population distribution and observed trends.
    • To enable the charting of geographical incidence and prevalence of morbidity with statistical significance.

    Main Methods:

    • A map of the general practice area is divided into a grid structure.

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  • Postcode locations are utilized as the basis for this grid.
  • Geographical data on population distribution and morbidity are analyzed within this grid framework.
  • Main Results:

    • The method allows for graphical display of practice population distribution.
    • Geographical incidence and prevalence of morbidity can be charted effectively.
    • Statistically significant variations in health data across the practice area can be determined.

    Conclusions:

    • The described grid-based mapping method is a practical tool for general practice.
    • Its potential utility is expected to increase with the development of information technology in healthcare.
    • This approach facilitates enhanced understanding of spatial health patterns and resource allocation.