Defining rational hospital catchments for non-urban areas based on travel-time
2006

Modeling Hospital Catchments in Rural Areas

Sample size: 655000 publication 10 minutes Evidence: moderate

Author Information

Author(s): Nadine Schuurman, Robert Fiedler, Stefan Grzybowski, Darrin Grund

Primary Institution: Simon Fraser University

Hypothesis

Can travel-time based modeling improve the definition of hospital catchments in rural areas?

Conclusion

The modeling tool is effective for defining geographical catchments around rural hospitals and assessing the population served within specific travel times.

Supporting Evidence

  • The study found that using travel-time models provides a more accurate representation of healthcare access than traditional methods.
  • Approximately 70% of British Columbia's population lives on just 1.3% of the land, highlighting the challenges of healthcare access in rural areas.
  • The research demonstrated that specific healthcare service scenarios can reveal significant differences in geographic access.

Takeaway

This study helps figure out how far people in rural areas have to travel to get to hospitals, which is important for making sure everyone can get the healthcare they need.

Methodology

The study used vector-based GIS network analysis to model hospital catchments based on travel time.

Limitations

The study does not account for socioeconomic factors affecting healthcare access.

Participant Demographics

The study focused on the population of the Interior Health Authority in British Columbia, which is approximately 655,000 people.

Digital Object Identifier (DOI)

10.1186/1476-072X-5-43

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