| Literature DB >> 34948813 |
Carolyne Njue1, Nick Nicholas1, Hamish Robertson1, Angela Dawson1.
Abstract
Background: African-born migrants and refugees arriving from fragile states and countries with political and economic challenges have unique health needs requiring tailored healthcare services and support. However, there is little investigation into the distribution of this population and their spatial access to healthcare in Australia. This paper reports on research that aimed to map the spatial distribution of Africa-born migrants from low and lower-middle-income countries (LLMICs) and refugees in New South Wales (NSW) and access to universal child and family health (CFH) services and hospitals.Entities:
Keywords: African; Australia; healthcare; migrants; refugees; spatial-access; vulnerable populations
Mesh:
Year: 2021 PMID: 34948813 PMCID: PMC8701331 DOI: 10.3390/ijerph182413205
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of the Africa-born migrant population.
| Variables | Frequency (%) |
|---|---|
| All Africa-born migrants in Australia | 388,179 |
| Africa-born migrants LLMICS | 191,876 |
| Gender | |
| Age | |
| Marital Status | |
| Education | |
| Income level (weekly) | |
| Residents by State |
Source: Australian Bureau of Statistics (ABS). Census of Population and Housing, 2016.
Characteristics of refugees from Africa (2000–2018).
| Variables | Frequency (%) |
|---|---|
| Refugees by State | ( |
| Refugee visa category | |
| Gender | |
| Age | |
| Marital Status | |
| Proficiency in English |
Source: Department of Social Services, Settlement Reporting June 2018.
Figure 1The spatial distribution of Africans from LLMICs in NSW at the statistical-area level 2 (SA2) level, ABS Census data 2016. In the map legend, numbers in parentheses are a count of SA2 areas and those without the migrant population. The inset map is a close-up of the spatial distribution of these population groups in metropolitan areas.
Figure 2The spatial distribution of migrants from LLMIC and refugee communities relative to a CFH service and/or hospital and their drive distance most travel to access care. The dark coloured areas indicate where most of them live, while the white dots represent the CFH services. Our approach defines travel time using area contours increasing incrementally starting at 5 km travel distance; that means that the inner contour is within 5 km of healthcare service. All areas outside the 5 km zone are shaded, whilst those within a 5 km access level are not shaded. The loops show travel distances within those areas.
Figure 3The spatial distribution of migrants from LLMICs and refugee communities relative to a CFH service. The vertically striped greyed areas show SA2 areas where the African population is greater than 49 people and pockets of residential areas where the nearest healthcare service is further than a 5 km drive.