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Spatial methods for evaluating critical care and trauma transport: A scoping review
Katia Vasilyeva1, Michael J Widener1, Samuel M Galvagno2
1Department of Geography and Planning, University of Toronto St. George, 100 St. George St, Toronto, ON M5S 3G3, Canada.
Spatial research on critical care transport is underutilized. Current studies primarily calculate travel time/distance, missing opportunities for advanced spatial analysis to improve patient transportation and reduce healthcare costs.
Area of Science:
- Medical Transportation Research
- Geospatial Analysis
- Critical Care Logistics
Background:
- Effective transportation of critically ill patients is vital for positive outcomes.
- Spatial research methods offer potential for optimizing patient transport logistics.
- Current applications of spatial methods in this field are not fully explored.
Purpose of the Study:
- To conduct a scoping review on the application of spatial research in critical care and trauma patient transportation.
- To identify gaps and limitations in the current use of spatial methods for analyzing patient transport.
- To inform future research directions for spatial analysis in medical transport.
Main Methods:
- Searched four major databases: Ovid Medline, PubMed, Embase, and Scopus.
- Included studies that utilized geospatial methods to analyze patient transport data.
- Reviewed a total of 12 selected studies.
Main Results:
- Most studies used basic spatial methods for travel time/distance calculations.
- Advanced spatial analysis tools are available but underused in this research area.
- Common applications included hospital bypass analysis, transport mode selection, and travel time comparisons.
Conclusions:
- A significant gap exists between available spatial tools and their application in medical transport optimization.
- Implementing geospatially informed transport decisions can lead to substantial healthcare cost savings.
- Strategic cost control in healthcare systems can be achieved with minimal impact on patient outcomes through spatial analysis.
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