Decomposing the gaps in healthy and unhealthy life expectancies between Indigenous and non-Indigenous Australians: a burden of disease and injury study.

BACKGROUND: The gaps in healthy life expectancy (HLE) between Indigenous and non-Indigenous Australians are significant. Detailed and accurate information is required to develop strategies that will close these health disparities. This paper aims to quantify and compare the causes and their relative contributions to the life expectancy (LE) gaps between the Indigenous and non-Indigenous population in the Northern Territory (NT), Australia. METHODS: The age-cause decomposition was used to analyse the differences in HLE and unhealthy life expectancy (ULE), where LE = HLE + ULE. The data was sourced from the burden of disease and injury study in the NT between 2014 and 2018. RESULTS: In 2014-2018, the HLE at birth in the NT Indigenous population was estimated at 43.3 years in males and 41.4 years in females, 26.5 and 33.5 years shorter than the non-Indigenous population. This gap approximately doubled the LE gap (14.0 years in males, 16.6 years in females) at birth. In contrast to LE and HLE, ULE at birth was longer in the Indigenous than non-Indigenous population. The leading causes of the ULE gap at birth were endocrine conditions (explaining 2.9-4.4 years, 23-26%), followed by mental conditions in males and musculoskeletal conditions in females (1.92 and 1.94 years, 15% and 12% respectively), markedly different from the causes of the LE gap (cardiovascular disease, cancers and unintentional injury). CONCLUSIONS: The ULE estimates offer valuable insights into the patterns of morbidity particularly useful in terms of primary and secondary prevention.

Alcohol-Attributable Death and Burden of Illness among Aboriginal and Non-Aboriginal Populations in Remote Australia, 2014-2018.

Harmful use of alcohol is a problem in the Northern Territory (NT), Australia. The aim of this study was to assess and compare alcohol-attributable deaths and the contribution of alcohol to the burden of disease and injury (BOD) among the Aboriginal and non-Aboriginal populations in the NT between 2014 and 2018. The alcohol-use data for adults aged 15+ years old in the NT population was taken from the 2016 National Drug Strategy Household Survey. BOD was measured in disability-adjusted life years (DALY) as part of the NT BOD study. Population-attributable fractions were derived to analyse deaths and BOD. Between 2014 and 2018, 673 Aboriginal and 392 non-Aboriginal people died of harmful use of alcohol, accounting for 26.3% and 12.9% of the total deaths in the Aboriginal and non-Aboriginal population, respectively. Alcohol caused 38,596 and 15,433 DALY (19.9% and 10.2% of the total), respectively, in the NT Aboriginal and non-Aboriginal population for the same period. The alcohol-attributable DALY rate in the Aboriginal population was 10,444.6 per 100,000 persons, six times the non-Aboriginal rate. This study highlights the urgent need to reduce harmful alcohol use in the NT, which disproportionately affects Aboriginal peoples in rural and remote areas.

Costs and benefits of community water fluoridation in remote Aboriginal communities of the Northern Territory.

OBJECTIVE: To undertake an economic evaluation of community water fluoridation (CWF) in remote communities of the Northern Territory (NT). DESIGN: Dental caries experiences were compared between CWF and non-CWF communities before and after intervention. Costs and benefits of CWF are ascertained from the health sector perspective using water quality, accounting, oral health, dental care and hospitalisation datasets. SETTING AND PARTICIPANTS: Remote Aboriginal population in the NT between 1 January 2008 and 31 December 2020. INTERVENTION: CWF. MAIN OUTCOME MEASURES: Potential economic benefits were estimated by changes in caries scores valued at the NT average dental service costs. RESULTS: Given the total 20-year life span of a fluoridation plant ($1.77 million), the net present benefit of introducing CWF in a typical community of 300-499 population was $3.79 million. For each $1 invested in CWF by government, the estimated long-term economic value of savings to health services ranged from $1.1 (population ≤300) to $16 (population ≥2000) due to reductions in treating dental caries and associated hospitalisations. The payback period ranged from 15 years (population ≤300) to 2.2 years (population ≥2000). CONCLUSIONS: The economic benefits of expanding CWF in remote Aboriginal communities of NT outweigh the costs of installation, operation and maintenance of fluoridation plants over the lifespan of CWF infrastructure for population of 300 or more.

Does relative remoteness affect chronic disease outcomes? Geographic variation in chronic disease mortality in Australia, 2002­2006.

OBJECTIVE: To examine the variation of chronic disease mortality by remoteness areas of Australia, including states and territories. METHODS: Australian Bureau of Statistics (ABS) death registration data, by Statistical Local Area (SLA), were used to identify chronic disease mortality by remoteness category for states and territories and Australia. The analysis used multiple cause of death for six common chronic diseases: diabetes, ischaemic heart disease, stroke, hypertension, chronic obstructive pulmonary disease and renal disease. ABS correspondence files were used to adjust the SLA level death records and population. RESULTS: The chronic disease mortality rate for Australian residents living in a very remote area (512 per 100,000 persons) was respectively 1.3, 1.4, 1.5, and 1.6 times higher than Remote, Outer Regional, Inner Regional and Major Cities categories. This pattern was consistent for the two age groups of 35­64 years and 65 years and over, all six chronic diseases and all states and territories except Victoria. CONCLUSION AND IMPLICATIONS: This study shows that chronic disease mortality increases with increasing relative remoteness. The results highlight the importance and opportunity to redress poorer health outcomes for rural and remote area populations. The study is limited by absence of reliable Indigenous identification in national death data.