Measuring national accessibility to cardiac services using geographic information systems

Coffee, Neil; Turner, Dorothy; Clark, Robyn; Eckert, Kerena; Coombe, D.; Hugo, Graeme; Gaans, Deborah van; Wilkinson, David; Stewart, Simon; Tonkin, Andrew

doi:10.1016/j.apgeog.2012.01.007

Cited by 36 publications

(43 citation statements)

References 21 publications

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“…The issue of good access decreased by Ͻ1% variation, and poor access remained relatively unchanged because these locations were not densely populated. 31 We decided to focus on the clinical timeline and reported average times 31 to provide an outcome that reflected a result that was a reasonable guide for policy. Clearly, travel times will differ depending on the time of day and weather, but the purpose of this modeling was to provide a view of reality that would have utility in guiding health policy and allocation of resources.…”

Section: Data Acquisition and Modelingmentioning

confidence: 99%

Application of Geographic Modeling Techniques to Quantify Spatial Access to Health Services Before and After an Acute Cardiac Event

et al. 2012

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Background Access to cardiac services is essential for appropriate implementation of evidence-based therapies to improve outcomes. The Cardiac Accessibility and Remoteness Index for Australia (Cardiac ARIA) aimed to derive an objective, geographic measure reflecting access to cardiac services. Methods and Results An expert panel defined an evidence-based clinical pathway. Using Geographic Information Systems (GIS), the team developed a numeric/alphabetic index at 2 points along the continuum of care. The acute category (numeric) measured the time from the emergency call to arrival at an appropriate medical facility via road ambulance. The aftercare category (alphabetic) measured access to 4 basic services (family doctor, pharmacy, cardiac rehabilitation, and pathology services) when a patient returned to his or her community. The numeric index ranged from 1 (access to principal referral center with cardiac catheterization service ≤1 hour) to 8 (no ambulance service, >3 hours to medical facility, air transport required). The alphabetic index ranged from A (all 4 services available within a 1-hour drive-time) to E (no services available within 1 hour). The panel found that 13.9 million Australians (71%) resided within Cardiac ARIA 1A locations (hospital with cardiac catheterization laboratory and all aftercare within 1 hour). Those outside Cardiac 1A were overrepresented by people >65 years of age (32%) and indigenous people (60%). Conclusions The Cardiac ARIA index demonstrated substantial inequity in access to cardiac services in Australia. This methodology can be used to inform cardiology health service planning and could be applied to other common disease states within other regions of the world.

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Section: Data Acquisition and Modelingmentioning

confidence: 99%

Application of Geographic Modeling Techniques to Quantify Spatial Access to Health Services Before and After an Acute Cardiac Event

et al. 2012

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“…One branch of literature is concerned with identifying locations that are underserviced so that resources can be directed appropriately. For example, Coffee et al (2012) developed an index of access to cardiac services in Australia, finding that 14% of localities have poor access to relevant health services, suggesting an increased risk of mortality from cardiovascular diseases for residents of those areas. A similar logic underlies an immense set of studies in the domains of access to health services (for a review, see Rosenberg, 2014) and other services such as food retailing (McEntee & Agyeman, 2010) or high-speed internet access (Riddlesden & Singleton, 2014).…”

Section: Introductionmentioning

confidence: 99%

Equity, discrimination and remote policy: Investigating the centralization of remote service delivery in the Northern Territory

Markham

Doran

2015

Applied Geography

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“…In this study, mapping the accessibility of the central area of Bucharest was completed using GIS techniques incorporating spatial analysis. The calculation of accessibility was initially based on the geometric structure of the public transport network (busses, trams, and underground services), but not on the walking and cycling networks, which, although they have been included in other studies, are less amenable to emergency service access in this context (Graeme and Aylward, 1999;Parker and Campbell, 1998;Naphtali, 2006;Svensson, 2010;Weiping and Chi, 2011;Sotoudehnia and Comber, 2011;ESPON TRACC Interim Report, 2011;ESPON GROSEE Final Report -Scientific Report, 2014;Blandford et al, 2012;Coffee et al, 2012;Yiannakoulias et al, 2013;Vojnovic et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

“…Governments have an important task: to prepare the population and all stakeholders for future similar events (Comerio, 2014).…”

Section: Introductionmentioning

confidence: 99%

Mapping accessibility for earthquake hazard response in the historic urban centre of Bucharest

Merciu

Ianoş

Merciu

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Planning for post-disaster accessibility is essential for the provision of emergency and other services to protect life and property in impacted areas. Such planning is particularly important in congested historic districts where narrow streets and at-risk structures are more common and may even prevail. Indeed, a standard method of measuring accessibility, through the use of isochrones, may be particularly inappropriate in these congested historic areas. Bucharest, Romania, is a city with a core of historic buildings and narrow streets. Furthermore, Bucharest ranks second only to Istanbul among large European cities in terms of its seismic risk. This paper provides an accessibility simulation for central Bucharest using mapping and geographic information system (GIS) technologies. It hypothesizes that all buildings in the risk 1 class would collapse in an earthquake of a similar magnitude to those of 1940 and 1977. The authors then simulate accessibility impacts in the historic centre of Bucharest, such as the isolation of certain areas and blockages of some street sections. In this simulation, accessibility will be substantially compromised by anticipated and extensive building collapse. Therefore, policy makers and planners need to fully understand and incorporate the serious implications of this compromised accessibility when planning emergency services and disaster recovery responses.

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Measuring national accessibility to cardiac services using geographic information systems

Cited by 36 publications

References 21 publications

Application of Geographic Modeling Techniques to Quantify Spatial Access to Health Services Before and After an Acute Cardiac Event

Application of Geographic Modeling Techniques to Quantify Spatial Access to Health Services Before and After an Acute Cardiac Event

Equity, discrimination and remote policy: Investigating the centralization of remote service delivery in the Northern Territory

Mapping accessibility for earthquake hazard response in the historic urban centre of Bucharest

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