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  1. Home
  3. Same People, Different Results: Categorizing Cancer Registry Cases Across The Rural-urban Continuum.
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  3. Same People, Different Results: Categorizing Cancer Registry Cases Across The Rural-urban Continuum.

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Same People, Different Results: Categorizing Cancer Registry Cases Across the Rural-Urban Continuum.

Andrea M Schiefelbein1, John K Krebsbach2, Amy K Taylor3

  • 1Morgridge Institute for Research, Madison, Wisconsin.

WMJ : Official Publication of the State Medical Society of Wisconsin
|May 8, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Choosing the right rural-urban index is crucial for consistent cancer research. The Rural-Urban Continuum Codes (RUCC) index is recommended for its feasibility and ability to improve study comparability.

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Geographic Information Systems (GIS) in Public Health

Background:

  • Diverse rural-urban indexes are used in cancer research, leading to study inconsistencies.
  • Previous recommendations prioritized geographical units over analytical feasibility.
  • A standardized index is needed to enhance comparability across studies.

Purpose of the Study:

  • To evaluate various US rural-urban indexes for cancer research.
  • To recommend a single index for improved consistency and comparability.
  • To assess the impact of index selection on patient categorization.

Main Methods:

  • Assessed 9 US rural-urban indexes based on code ranges, geographical attributes, and analytical suitability.
  • Evaluated agreement rates for binary and ternary rural-urban designations.
  • Utilized 1569 Wisconsin Pancreatic Cancer Registry patients to demonstrate index impact on categorization.

    • Main Results:

    • Six indexes provided rural-urban categorization.
    • Agreement on binary designation was 88.8% for the US population, decreasing to 73.4% for cancer patients.
    • Rural-Urban Continuum Codes (RUCC) demonstrated superior performance in differentiating county types and suitability for analysis.

    Conclusions:

    • Index selection significantly alters urban/rural patient categorization in cancer research.
    • RUCC is recommended as an appropriate and feasible index for cancer research.
    • Using RUCC consistently will enhance reproducibility and comparability in studies involving rural-urban components.