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Avoidable hospitalisation in Aboriginal and non-Aboriginal people in the Northern Territory

Odette R Gibson and Leonie Segal
Med J Aust 2009; 191 (7): 411-412. || doi: 10.5694/j.1326-5377.2009.tb02858.x
Published online: 5 October 2009

To the Editor: Li and colleagues analysed avoidable hospitalisation rates for Aboriginal and non-Aboriginal people in the Northern Territory, examined trends over time, and assessed “the implications for future primary care interventions”.1 Their study results confirmed that Aboriginal Australians in the NT experience significantly higher rates of avoidable hospitalisations than non-Aboriginal people. They also report a widening gap between avoidable hospitalisation rates of Aboriginal and non-Aboriginal people during the study period, 1998–99 to 2005–06.

Avoidable hospitalisation rates are used nationally and internationally as an indicator of primary health care effectiveness and accessibility. However, debate continues about which conditions to include as “avoidable”, and the potential for errors in allocating and coding the primary diagnosis. Furthermore, serious methodological issues remain regarding the use of avoidable hospitalisation rates as an indicator of primary health care effectiveness and accessibility.

The outcome measure “avoidable hospitalisation” is affected by more than just primary health care. This is acknowledged by Li et al,1 who identify other factors that affect hospitalisation, including disease prevalence and severity, and geographical remoteness.2 If these factors are not controlled for, it is not possible to attribute differences in hospital admissions to differences in quality of primary care. This would only be possible if Indigenous and non-Indigenous populations were similar in health status and residential location (and other important respects).

Aboriginal people in the NT experience far higher rates of diabetes than non-Aboriginal Australians and the age of onset is far younger. For example, there is a 10% prevalence of diabetes in Aboriginal people aged 25–34 years residing in remote areas of the NT. This is 19.5 times the rate of diabetes in a sample of the Australian population of the same age (which will be close to the non-Indigenous rate in the NT), using data from the AusDiab study.3 This young Aboriginal population is also 18 times more likely to have multiple chronic conditions than the AusDiab group of the same age.3 Hospitalisation rates of a population with this health profile should be high, particularly if the primary care system is performing well.

Even though Li and colleagues recognise the complexity of measuring primary health care effectiveness and access,1 they still attribute higher rates of avoidable hospitalisations to Aboriginal people’s lack of access to effective primary care. This simply cannot be deduced from their analysis, as it fails to adjust for the high and increasing incidence, prevalence and severity of chronic diseases in the NT Aboriginal population compared with the non-Aboriginal population. This type of misinterpretation of data is serious, given the potential policy implications. We agree that the research question is important, but it warrants a sophisticated analysis that properly adjusts for the most important confounders.

  • Odette R Gibson
  • Leonie Segal

  • Division of Health Science, Health Economics and Policy Group, University of South Australia, Adelaide, SA.



  • 1. Li SQ, Gray NJ, Guthridge SL, Pircher SLM. Avoidable hospitalisation in Aboriginal and non-Aboriginal people in the Northern Territory. Med J Aust 2009; 190: 532-536. <MJA full text>
  • 2. Ansari Z, Laditka JN, Laditka SB. Access to health care and hospitalization for ambulatory care sensitive conditions. Med Care Res Rev 2006; 63: 719-741.
  • 3. Hoy WE, Kondalsamy-Chennakesavan S, Wang Z, et al; AusDiab Group. Quantifying the excess risk for proteinuria, hypertension and diabetes in Australian Aborigines: comparison of profiles in three remote communities in the Northern Territory with those in the AusDiab study. Aust N Z J Public Health 2007; 31: 177-183.

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