Australian Institute of Health and Welfare (2022) Other unintentional causes, AIHW, Australian Government, accessed 06 July 2022.
Australian Institute of Health and Welfare. (2022). Other unintentional causes. Retrieved from https://www.aihw.gov.au/reports/injury/other-unintentional-injuries
Other unintentional causes. Australian Institute of Health and Welfare, 16 June 2022, https://www.aihw.gov.au/reports/injury/other-unintentional-injuries
Australian Institute of Health and Welfare. Other unintentional causes [Internet]. Canberra: Australian Institute of Health and Welfare, 2022 [cited 2022 Jul. 6]. Available from: https://www.aihw.gov.au/reports/injury/other-unintentional-injuries
Australian Institute of Health and Welfare (AIHW) 2022, Other unintentional causes, viewed 6 July 2022, https://www.aihw.gov.au/reports/injury/other-unintentional-injuries
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This category covers unintentional injury hospitalisations and deaths not principally caused by any of the main causes described in the other chapters of this report, or where there may not have been enough information gathered to specify the cause. This represents 9% of hospitalised injury cases and 2% of injury deaths.
In 2019–20, other unintentional causes resulted in:
49,900 hospitalisation cases
195 per 100,000 population
1.1 per 100,000 population
The causes of hospitalised injury in this category are classified as:
Table 1 shows the other unintentional cause categories recorded for injury hospitalisations and deaths in 2019–20.
Rate (per 100,000)
Exposure to other specified factors (X58)
Exposure to unspecified factor (X59)
Source: AIHW National Hospital Morbidity Database and AIHW National Mortality Database.
For more detail, see Data tables B25–26 and E36–38.
Hospital admissions for injuries due to other unintentional causes appear to display a weak seasonal pattern, typically peaking over winter and declining over the warmer months.
In March 2020, the first lockdowns and social distancing measures associated with COVID-19 interrupted the usual activity of many Australians. The restrictions to movement and activity coincided with a sharp drop in overall injury hospitalisations. For this category, there were 31% fewer admissions from March to May than the in same period of the previous year. As initial restrictions eased, admissions rose in May and June, though they remained below previous levels.
See the interactive COVID-19 display for data and further discussion about the impact of COVID-19 on hospital admissions.
1. Months have been standardised to 31 days.
2. A scale up factor has been applied to June admissions to account for cases not yet separated.
Source: AIHW National Hospital Morbidity Database.
Injury hospitalisation and death rates differ for males and females in this category, especially for certain age groups (Figure 2). In 2019–20:
The visualisation features 2 matching column graphs on separate tabs, 1 for hospitalisation cases and 1 for deaths. The columns represent sex within 6 life-stage age groups. The reader can select to display either age-specific rate per 100,000 population or number. The default displays males and females and the reader can also select to display persons.
For more detail, see Data tables A1–3 and D1–3.
There are many ways that the severity, or seriousness, of an injury can be assessed. Using available data, three measures of the severity of hospitalised injuries are:
Based on these, injuries in this category are less severe than the average for all injuries (Table 2).
Other unintentional injuries
All hospitalised injuries
Average number of days in hospital
% of cases with time in an ICU
% of cases involving continuous ventilatory support
Note: Average number of days in hospital (length of stay) includes admissions that are transfers from 1 hospital to another or transfers from 1 admitted care type to another within the same hospital, except where care involves rehabilitation procedures.
For more detail, see Data tables A12–13.
In 2019–20, among Aboriginal and Torres Strait Islander people:
Note: Rates are crude per 100,000 population.
In 2019–20, Indigenous Australians, compared with non-Indigenous Australians, were 1.1 times as likely to be hospitalised due to other causes of unintentional injury, with some variation for the male and female populations (Table 4).
Deaths are not compared here because of low numbers.
For more detail, see data tables A4–6 and D4–6.
The age-specific rate of injury hospitalisation cases due to other causes of unintentional injury was highest among the 25–44 age group for Indigenous Australians and highest in the 15–24 age group for non-Indigenous Australians (Figure 3). Deaths data are not presented because of small numbers.
Column graph representing hospitalisation data for Indigenous and non-Indigenous Australians by 6 life-stage age groups. The reader can select to display age-specific rate per 100,000 population or number. The reader can also select to display data for persons, males or females.
For more detail, see Data tables A4–6 and D4–8.
In 2019–20, people living in Remote areas, compared with people living in Major cities, after adjusting for differences in population age structure, were 1.3 times as likely to be hospitalised due to other causes of unintentional injury (Table 5). Deaths data is not compared here due to small numbers in more remote areas.
Note: Rates are age-standardised per 100,000 population.
In 2019–20, the age-specific rate for injury hospitalisations by remoteness area was highest for the 15–24 life-stage age group living in Remote areas (Figure 4).
Column graph representing hospitalisation data for each of the 5 remoteness categories by 6 life-stage age groups. The reader can select to display age-specific rate per 100,000 population or number. The reader can also select to display data for persons, males or females.
For more detail, see Data tables A7–9 and D9–10.
For information on how statistics by remoteness are calculated, see the Technical notes.
Defining injury hospitalisations and deaths: how injuries were counted
Technical notes: how the data were calculated
Data tables: download full data tables
ACCD (Australian Consortium for Classification Development) 2019. The international statistical classification of diseases and related health problems, 10th revision, Australian modification (ICD-10-AM), 11th edn. Tabular list of diseases and alphabetic index of diseases. Adelaide: Independent Hospital Pricing Authority (IHPA), Lane Publishing.
The following are recent publications. See Reports for any older publications that may exist.
The first year of COVID-19 in Australia: direct and indirect health effects
Trends in hospitalised injury, Australia, 2007–08 to 2016–17
Trends in injury deaths, Australia, 1999–00 to 2016–17
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