Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/43166
Title: A Review of Models Used for Investigating Barriers to Healthcare Access in Australia
Contributor(s): Shukla, Nagesh (author); Pradhan, Biswajeet (author); Dikshit, Abhirup (author); Chakraborty, Subrata  (author)orcid ; Alamri, Adbullah M (author)
Publication Date: 2020-06-01
Open Access: Yes
DOI: 10.3390/ijerph17114087
Handle Link: https://hdl.handle.net/1959.11/43166
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.
Publication Type: Journal Article
Source of Publication: International Journal of Environmental Research and Public Health, 17(11), p. 1-19
Publisher: MDPI AG
Place of Publication: Switzerland
ISSN: 1660-4601
1661-7827
Fields of Research (FoR) 2020: 460102 Applications in health
460209 Planning and decision making
460999 Information systems not elsewhere classified
Socio-Economic Objective (SEO) 2020: 200499 Public health (excl. specific population health) not elsewhere classified
280115 Expanding knowledge in the information and computing sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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