A Review of Models Used for Investigating Barriers to Healthcare Access in Australia

Nagesh Shukla, Biswajeet Pradhan, Abhirup Dikshit, Subrata Chakraborty and Abdullah M. Alamri
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Nagesh Shukla: Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, 2007 NSW, Australia
Biswajeet Pradhan: Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, 2007 NSW, Australia
Abhirup Dikshit: Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, 2007 NSW, Australia
Subrata Chakraborty: Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, 2007 NSW, Australia
Abdullah M. Alamri: Department of Geology & Geophysics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia

IJERPH, 2020, vol. 17, issue 11, 1-19

Abstract: Understanding barriers to healthcare access is a multifaceted challenge, which is often highly diverse depending on location and the prevalent surroundings. The barriers can range from transport accessibility to socio-economic conditions, ethnicity and various patient characteristics. Australia has one of the best healthcare systems in the world; however, there are several concerns surrounding its accessibility, primarily due to the vast geographical area it encompasses. This review study is an attempt to understand the various modeling approaches used by researchers to analyze diverse barriers related to specific disease types and the various areal distributions in the country. In terms of barriers, the most affected people are those living in rural and remote parts, and the situation is even worse for indigenous people. These models have mostly focused on the use of statistical models and spatial modeling. The review reveals that most of the focus has been on cancer-related studies and understanding accessibility among the rural and urban population. Future work should focus on further categorizing the population based on indigeneity, migration status and the use of advanced computational models. This article should not be considered an exhaustive review of every aspect as each section deserves a separate review of its own. However, it highlights all the key points, covered under several facets which can be used by researchers and policymakers to understand the current limitations and the steps that need to be taken to improve health accessibility.

Keywords: access barrier; health outcome; model; review (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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