Australian Institute of Health and Welfare (2019) Injury mortality and socioeconomic influence in Australia 2015–16, AIHW, Australian Government, accessed 10 August 2022.
Australian Institute of Health and Welfare. (2019). Injury mortality and socioeconomic influence in Australia 2015–16. Retrieved from https://pp.aihw.gov.au/reports/injury/injury-mortality-and-socioeconomic-influence-in-au
Injury mortality and socioeconomic influence in Australia 2015–16. Australian Institute of Health and Welfare, 13 November 2019, https://pp.aihw.gov.au/reports/injury/injury-mortality-and-socioeconomic-influence-in-au
Australian Institute of Health and Welfare. Injury mortality and socioeconomic influence in Australia 2015–16 [Internet]. Canberra: Australian Institute of Health and Welfare, 2019 [cited 2022 Aug. 10]. Available from: https://pp.aihw.gov.au/reports/injury/injury-mortality-and-socioeconomic-influence-in-au
Australian Institute of Health and Welfare (AIHW) 2019, Injury mortality and socioeconomic influence in Australia 2015–16, viewed 10 August 2022, https://pp.aihw.gov.au/reports/injury/injury-mortality-and-socioeconomic-influence-in-au
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This section presents information on deaths that occurred as a result of an Unintentional fall injury. NMD records that included the following ICD-10 codes were included in this section:
The codes for fractures are S02, S12, S22, S32, S42, S52, S62, S72, S82, S92, T02, T08, T10, T12 and T14.2.
These criteria are the same as in previous AIHW reports (AIHW: Henley & Harrison 2015, 2018). Deaths with UCoD X59 and a fracture code as MCoD have been included routinely when reporting fall injury mortality, because of indications that most involve falls (Kreisfeld & Harrison 2005). It is possible that some of the deaths included using the X59 code in combination with a fracture code may not be fall-related. However, the inclusion of these 2 criteria provide a more accurate estimate of fall injury deaths than if they were excluded. For further background, see the sections on falls in previous reports (AIHW: Harrison & Henley 2015; AIHW: Henley & Harrison 2015, 2018).
Suicide and Homicide deaths (UCoD X60–Y09) were excluded.
Unlike other external causes of injury examined in this report, rates of Unintentional fall injury deaths in 2015–16 were similar across all socioeconomic groups overall, and for males and females separately (Table 2.5). In nearly all cases, rates for individual socioeconomic groups varied by only 10% or less from the overall rate for both males and females. Rates for males were slightly higher than rates for females across all 5 socioeconomic groups.
Figure 2.13 shows the proportion of Unintentional fall injury deaths in each socioeconomic group for males and for females. As with rates (see Table 2.5), there was very little difference between males and females in terms of their respective socioeconomic profiles. The proportion of deaths was slightly higher in the more disadvantaged socioeconomic groups, but evidence of an association between the proportions of deaths and SES was not strong.
Note: Data underpinning this figure can be found in Table S13 in the supplementary tables spreadsheet.
Figure 2.14 shows the age-specific rates of Unintentional fall injury deaths, by socioeconomic group. Almost 95% of unintentional fall injury deaths occurred in those aged 65 and over and a further 4% of deaths in those aged 45–64. Rates for those aged 65 and over were broadly similar across all socioeconomic groups, ranging from 105 deaths per 100,000 population for those from the lowest (most disadvantaged) socioeconomic group to 127 deaths per 100,000 population for those from the second most disadvantaged socioeconomic group. Age-specific rates for age groups younger than 45 are not presented, due to low case counts.
Figure 2.15 shows the proportion of Unintentional fall injury deaths in each socioeconomic group, by age group. For those aged 45–64, the proportion of deaths declined steadily with increasing socioeconomic advantage. For those aged 65 and over, the proportion of deaths was moderately higher among those in more disadvantaged socioeconomic groups. The outcomes shown for the 45–64 age group should be treated with caution, due to relatively low case numbers. Results were not shown for the 4 youngest age groups due to low case numbers.
Note: Data underpinning this figure can be found in Table S15 in the supplementary tables spreadsheet.
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