Application of spatial analysis technology to the planning of access to oral health care for at-risk populations in Australian capital cities.
Australians are one of the healthiest populations in the world but there is strong evidence that health inequalities exist. Australia has 23.1 million people spread very unevenly over -20 million square kilometres. This study aimed to apply spatial analysis tools to measure the spatial distribution of fixed adult public dental clinics in the eight metropolitan capital cities of Australia. All population data for metropolitan areas of the eight capital cities were integrated with socioeconomic data and health-service locations, using Geographic Information Systems, and then analysed. The adult population was divided into three subgroups according to age, consisting of 15-year-olds and over (n = 7.2 million), retirees 65 years and over (n = 1.2 million), and the elderly, who were 85 years and over (n = 0.15 million). It was evident that the States fell into two groups; Tasmania, Northern Territory, Australian Capital Territory and Western Australia in one cluster, and Victoria, New South Wales, Queensland and South Australia in the other. In the first group, the average proportion of the population of low socioeconomic status living in metropolitan areas within 2.5 km of a government dental clinic is 13%, while for the other cluster, it is 42%. The clustering remains true at 5 km from the clinics. The first cluster finds that almost half (46%) of the poorest 30% of the population live within 5km of a government dental clinic. The other cluster of States finds nearly double that proportion (86%). The results from this study indicated that access distances to government dental services differ substantially in metropolitan areas of the major Australian capital cities.
Haidar
H
Almado
Estie
E
Kruger
Marc
M
Tennant
D000293:Adolescent; D000368:Aged; D000369:Aged, 80 and over; D001315:Australia; D016000:Cluster Analysis; D003752:Dental Health Services / Q000706:statistics & numerical data*; D005260:Female; D040362:Geographic Information Systems; D006297:Health Services Accessibility; D006801:Humans; D008297:Male; D010934:Planning Techniques; D014195:Travel; D014505:Urban Population