Bulletin 15 - Current Patterns of child injury
Current Patterns of 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.
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. |
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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