Using GIS to study health care services and utilization––from local to national

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Hospital catchment zones based on travel time in the Metro Vancouver

Access to timely and quality health care is an important determinant of health and well-being.

Despite universal health coverage in Canada, there exists socio-demographic, financial and physical geographic barriers that limit the accessibility to health care resulting in health disparities across the population.

The ability to link administrative health and census data to small or large geographic areas facilitates the study of such health disparities and can provide guidance for overarching policy and/or targeted intervention. A great example of this can be found in a research article entitled Spatial Accessibility to Health Care Services: Identifying under-Serviced Neighbourhoods in Canadian Urban Areas (PLOS | One).

In Population Health and Geographic Information Systems, students learn how and when to apply various spatial techniques for the analysis of health data.

Hospital catchment zones based on travel time in the Metro Vancouver, BC region.

For example, the image to the right was created as a part of a weekly lab assignment. It shows the hospital catchment zones based on travel time in the Metro Vancouver region in British Columbia, Canada.

This process can be expanded to the provincial scale to explore travel times to health clinics in rural areas or other under-served areas. Want to learn how you can incorporate spatial analysis within your health research?

Learn more about the Professional Specialization in Population Health Data Analysis at UVic.

Anders Erickson

Anders Erickson

Anders Erickson recently obtained his PhD in Interdisciplinary Studies with the Division of Medical Sciences & Department of Geography at the University of Victoria. His research interests are varied, but predominantly focus on the spatial and environmental epidemiology of reproductive health, the social determinants of health and gene-environment interactions. His PhD project used small area spatial and multilevel analyses to model the risk of adverse pregnancy outcomes such as low birth weight and gestational diabetes relating to air pollution exposure and its possible interaction with social factors. Anders has consulted on several other research projects and government contracts regarding biostatistics, epidemiology and GIS mapping. He will be teaching the fully online Population Health and GIS course (PHDA 03) in September 2017.

View article by Anders Erickson

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