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How far is it to the nearest hospital? Calculating distances using the Statistics Canada Postal Code Conversion File
1Canadian Centre for Health Information, Statistics Canada, Ottawa, Ontario.
Health Reports
|January 1, 1993
Summary
Calculating aerial distances using postal codes reveals geographic accessibility to hospitals. Most Canadians live less than 3 km from a hospital, but teaching hospitals are further on average.
Area of Science:
- Geographic Information Systems (GIS)
- Health Services Research
- Spatial Analysis
Background:
- Assessing geographic accessibility to healthcare is crucial for public health.
- Postal codes are commonly used in health data, necessitating methods for spatial analysis.
- Existing methods for calculating distances from postal codes can be refined for healthcare applications.
Purpose of the Study:
- To demonstrate a method for calculating aerial distances between population centroids and hospital locations using Canadian geospatial data.
- To provide objective measures of geographic accessibility to hospital services.
- To illustrate the application of these methods using hospital data.
Main Methods:
- Utilized the Postal Code Conversion File (PCCF) from Statistics Canada to link postal codes to geographic coordinates.
- Calculated aerial distances between enumeration area centroids (population) and blockface or enumeration area centroids (hospitals).
- Employed geospatial analysis techniques to determine distances to the nearest hospital facility.
Main Results:
- The median aerial distance to the nearest hospital in Canada was under 3 km, with a mean distance of approximately 6 km.
- For teaching hospitals, the median aerial distance was under 30 km, and the mean distance exceeded 90 km.
- Summarized results effectively using tables, figures, and maps.
Conclusions:
- The described method provides a practical approach to quantifying geographic accessibility to healthcare services.
- The findings highlight disparities in proximity to hospitals, particularly teaching hospitals, across Canada.
- The technique has broad applicability for health research and administrative purposes given the prevalence of postal codes in health data.