The Alliance’s work towards good health and wellbeing in rural and remote Australia is guided and supported by a wide range of data. Relevant data come from agencies and organisations including (but not limited to) the:
Peer reviewed journals such as the Australian Journal of Rural Health provide critical review, discussion and insights into rural health.
What do we mean by “rural” Australia? There are many different geographic classifications used by organisations when reporting rural health data. These include:
- ASGS Remoteness (Major cities, Inner regional, Outer regional, Remote and Very remote);
- Capital cities and “rest of state”;
- ABS Section of state (major urban, other urban, bounded localities, and rural balance);
- Federal electorates;
- The Ministerial Council on Education, Employment, Training and Youth Affairs (MCEETYA) Remoteness Classification (Metropolitan, provincial, remote categories);
- Accessibility/Remoteness Index of Australia (ARIA) (Highly accessible, Accessible, Moderately accessible, Remote and Very remote categories);
- Standard ABS Geography such as Statistical Area 1, Statistical Area 2; and
- Modified Monash Model (MMM), which combines remoteness with the size of the local population centre; and
- Primary Health Networks, which replaces Medicare Local areas.
So, what’s new in rural health data? Have you seen the AIHW's website and reports:
You may also be interested in the National Health Performance Authority's report GP care for patients with chronic conditions in 2009-13, Frequent GP attenders and their use of health services in 2012–13 and PHIDU's Life opportunities, Social Inclusion and Health Outcomes: an Australian Atlas.
The NRHA Little Book of Rural Health Numbers
We have commenced pulling together rural health information into a publically available source. This is an ongoing task, with additions and updates as and when resources allow and when new data is available.
Your ideas, comments and suggestions are welcome via email@example.com or through the comment button below.