Bulletin 15 - Current Patterns of child injury
Incorporating the AIHW National Injury Surveillance Unit
Bulletin 15 - Current Patterns of child injury [Previous] [Next] [Top]

Current Patterns of child injury


Key ways of thinking about child injury

It is apparent from the patterns of childhood injury that risks change with stage of development. As children grow their abilities and activities change. There is a constant pattern of exposure to hazard associated with new tasks, adaptation to the risk, and the development of risk management and avoidance skills, and the gaining of mastery. Injury patterns for specific causes therefore show rapid rises for specific causes as children enter a period of rapid developmental change (eg learning to walk or becoming an independent cyclist) followed by a plateau at a high level as the cohort at this stage of development learn to manage risk and then a decrease in frequency as either the task becomes routine and well managed or the exposure to risk passes with development.

This suggests that injury data should be looked at not only in terms of broad age groups but also in narrow ranges that reveal these developmental patterns. There are clear differences between the injury patterns of males and females. These emerge as early as the first year of life, and are accentuated during late childhood with a rapid increase in risk emerging for both sexes at adolescence. These gender differences cannot be considered in detail here but are worthy of further exploration.


Broad Patterns

The broad patterns of child injury as indicated by death were presented in Table 4. Hospitalisation data appear in Table 5.

Table 5 Child injury hospitalisation (excluding medical misadventure) Australia (excl NT) 1992-93 financial year. Counts and rates per 100,000 persons by major cause group +
0-4 yrs 5-9 yrs 10-14 yrs
count rate count rate count rate
Motor vehicle driver 6 0.5 7 0.6 51 4.1
Motor vehicle passenger or unspec occ 391 30.8 398 31.5 443 35.7
Motor cycle driver 13 1.0 146 11.6 600 48.3
Motor cycle passenger or unspecified 20 1.6 56 4.4 80 6.4
Pedal cyclist or passenger 299 23.6 1169 92.7 1681 135.3
Pedestrian 367 28.9 465 36.9 435 35.0
Animal related 987 77.8 1035 82.0 1422 114.5
Other transport 271 21.4 540 42.8 1242 100.0
Fall 6442 507.7 8927 707.5 6391 514.4
Drowning, incl. pool, quenching tank 163 12.8 17 1.4 4 0.3
Drowning other 117 9.2 31 2.5 28 2.3
Other threat to breathing 594 46.8 110 8.7 75 6.0
Fire flames smoke 232 18.3 140 11.1 194 15.6
Hot drink food steam etc 1228 96.8 166 13.2 104 8.4
Hot object or substance 289 22.8 42 3.3 34 2.7
Poisoning drugs and medicinals 2460 193.9 133 10.5 679 54.7
Poisoning other or unspecified substance 1107 87.2 113 9.0 183 14.7
Firearms 2 . 7 0.6 40 3.2
Cutting, piercing object 1069 84.3 1030 81.6 1074 86.5
Strike/struck by object or person 1749 137.8 1519 120.4 2269 182.6
Machinery in operation 131 10.3 76 6.0 133 10.7
Electricity 37 2.9 22 1.7 51 4.1
Hot conditions 5 0.4 5 0.4 4 0.3
Cold conditions 1 . 1 . 3 .
Other specified external cause 1741 137.2 1204 95.4 2208 177.7
Unspecified external cause 677 53.4 552 43.8 724 58.3
All causes excluding medical misadventure 20398 1607.5 17911 1419.7 20152 1622.3
Note: Rates are suppressed where number of cases on which they are based is less than 4.
+ See Data Issues section for definition of major cause groups.


More detailed analysis

Deaths data for the five year 1990-1994 hospitalisation data for 1992-93 have been used in Table 6 to rank cause and single year of age combinations. The analysis uses more specific injury categories than those reported in previous tables to gain a better understanding of the nature of events leading to injury. This identifies frequent age-cause combinations and the priority risks within each age. (See Data Issues for a discussion on how priority setting is affected by the way that the data is aggregated.) These data are used to assess the importance of each combination in terms of number of deaths, number of hospitalisations, number of bed days and average length of stay. In this way frequency and severity can be taken into account in assessing priorities.

In terms of death, the priority areas are motor vehicle traffic causes and drowning. Mechanical asphyxiation of children before their first birthday also ranks in the top 20 combinations. The priority for drowning is focussed on one and two year olds, while the motor vehicle traffic causes are important across a wider age span, with older children being more likely to die. For deaths, the top 20 combinations cover 53 per cent of death.

Priorities based on hospitalisation show more diversity. More causes are involved. Falls emerge as a common issue for the under fives with falls from playground equipment featuring for older groups. The top 20 combinations only account for 18 per cent of hospitalisations and 24 per cent of bed days. The influence of severity of injury can be seen by comparing numbers of hospitalisations, numbers of bed days and average number of bed days per hospitalisation (LOS). Motor vehicle traffic related injuries are much more important in terms of bed days than they are in terms of numbers of hospitalisations. Playground falls on the other hand are relatively frequent but do not rank highly on bed-days or average length of stay. Relatively rare injuries such as water transport accidents, firearm missile incidents and clothing ignition rank high in terms of average length of stay. Hospitalisation data shows the importance of burns and scalds, and recreation and leisure based injuries.

The priorities within each single year age group have also been considered in . It can be seen that the most frequent three causes with each age group account for a significant proportion of the injury for that group. This reflects the way in which important risks change from age to age, and that at each age, a relatively smaller subset of causes is of importance

Prevention planning needs to take into account the specific hazards for each age group in order to anticipate the need for prevention as children develop.

In order to move toward preventive strategies, there is a need for further analysis. During our analysis of the death and hospitalisation data, we noted the importance of motor vehicle related injury to very young children. A review at the finest level of the data, individual Ecodes, and study of more detailed descriptions of cases presenting to emergency departments, revealed that the issues were different for children under one year and their one year old counterparts. In the first year of life, injuries occur as passengers, whereas among the one year olds, a significant part of the problem is related to the children becoming mobile in and near vehicles, commonly classified as pedestrian injuries, although this does not properly describe the activity.

The literature focuses on pedestrian injuries among older children, usually omitting the study of the youngest age groups because their role is not that of a formal pedestrian. In order to illustrate the value of the more in-depth qualitative information to understand the patterns shown above, we have explored our emergency department data base to obtain more detail about the type of pedestrian injury experienced by one year old children.


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