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Estimating hospital service areas using mortality statistics.

E S Carpenter, D J Plessas

    Health Services Research
    |April 1, 1985
    PubMed
    Summary
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    This study shows that using hospital death data can effectively approximate patient travel patterns for health planning. This method helps identify hospital service areas where discharge data is unavailable.

    Area of Science:

    • Health Services Research
    • Biostatistics
    • Health Planning

    Background:

    • Patient origin studies are crucial for health planning and resource allocation.
    • Traditional methods rely on comprehensive hospital discharge data, which is not universally available.
    • Alternative proxy measures are needed for accurate health services analysis.

    Purpose of the Study:

    • To evaluate the use of hospital mortality data as a proxy for patient origin studies.
    • To determine if mortality data can approximate patient travel patterns to tertiary hospitals.
    • To assess the feasibility of constructing hospital service areas using mortality statistics.

    Main Methods:

    • Utilized hospital death records as a proxy for all hospital discharges.
    • Focused on a group of urban tertiary hospitals for data collection.

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  • Constructed hospital service area indexes based on mortality statistics.
  • Main Results:

    • Mortality data from vital statistics records reasonably approximate patient travel patterns.
    • Hospital service area indexes derived from mortality data accurately predicted aggregate results of conventional patient origin studies.
    • The methodology proved effective for identifying hospital service areas in regions lacking uniform discharge data systems.

    Conclusions:

    • Hospital mortality data offers a viable alternative for patient origin studies and health planning.
    • This methodology can be applied in areas without comprehensive hospital discharge data systems.
    • Caveats regarding application and interpretation of results are essential for accurate use.