Measuring national accessibility to cardiac services using geographic information systems

Coffee, Neil, Turner, Dorothy, Clark, Robyn A., Eckert, Kerena, Coombe, David, Hugo, Graeme, van Gaans, Deborah, Wilkinson, David, Stewart, Simon and Tonkin, Andrew A. (2012) Measuring national accessibility to cardiac services using geographic information systems. Applied Geography, 34 1: 445-455. doi:10.1016/j.apgeog.2012.01.007

Author Coffee, Neil
Turner, Dorothy
Clark, Robyn A.
Eckert, Kerena
Coombe, David
Hugo, Graeme
van Gaans, Deborah
Wilkinson, David
Stewart, Simon
Tonkin, Andrew A.
Title Measuring national accessibility to cardiac services using geographic information systems
Journal name Applied Geography   Check publisher's open access policy
ISSN 0143-6228
Publication date 2012-05-01
Year available 2012
Sub-type Article (original research)
DOI 10.1016/j.apgeog.2012.01.007
Open Access Status Not yet assessed
Volume 34
Issue 1
Start page 445
End page 455
Total pages 11
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Language eng
Subject 1107 Forestry
3305 Geography, Planning and Development
2300 Environmental Science
1409 Tourism, Leisure and Hospitality Management
Abstract The Cardiac Access-Remoteness Index of Australia (Cardiac ARIA) used geographic information systems (GIS) to model population level, road network accessibility to cardiac services before and after a cardiac event for all (20,387) population localities in Australia., The index ranged from 1A (access to all cardiac services within 1 h driving time) to 8E (limited or no access). The methodology derived an objective geographic measure of accessibility to required cardiac services across Australia. Approximately 71% of the 2006 Australian population had very good access to acute hospital services and services after hospital discharge. This GIS model could be applied to other regions or health conditions where spatially enabled data were available.
Keyword Accessibility modelling
Cardiac accessibility
GIS modelling
Health modelling
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Medicine Publications
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 14 times in Scopus Article | Citations
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Created: Sat, 23 Dec 2017, 02:51:37 EST