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Injury mortality and morbidity in Ireland. Anthony Staines and Mairín Boland for The Injury in Ireland group. Injury in Ireland Group. Anthony Staines (UCD) Patricia Fitzpatrick (UCD) Elaine Scallan (FSAI) Alan Kelly (TCD) Conor Teljeur (TCD/SAHRU) Marie Laffoy (ERHA). Background. - PowerPoint PPT Presentation
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Injury mortality and morbidity in Ireland
Anthony Staines and Mairín Boland for The Injury in
Ireland group.
Injury in Ireland Group
• Anthony Staines (UCD)• Patricia Fitzpatrick (UCD)• Elaine Scallan (FSAI)• Alan Kelly (TCD)• Conor Teljeur (TCD/SAHRU)• Marie Laffoy (ERHA)
Background
• Major public health problem• Most injuries never come to
medical notice• A minority are fatal• Very important cause of acquired
long-term disability in children and younger adults
Data sources
• Three data sources
• Irish census 1981,1986,199,1996
• Hipe hospital admissions data 1993-2000
• Mortality data 1980-200
Geography
• Not much available!
• Two geographies
• Hipe: city and county level only
• Mortality: city, town, and rural areas as well
Area populations (1996)
• Total 3,626,087• Hipe geography
• City 1,337,271• Other 2,288,816
• Mortality geography• City 1,337,271• Urban districts 355,368• Rural areas 1,933,448
Admissions (1993-2000)
• Injury admissions by area
• No area identified 9,889• Not in a city 350,432• In a city 184,035
• Total 544,356
Restrictions (Admissions)
• Remove 9,889 admissions of people with no fixed abode (537) (0.1%), or normally resident outside Ireland (9352) (1.7%).
• Remove 59,181 (10.8%) admissions with no E-code, which cannot be classified as to Cause or Intent.
• Exclude 3,098 (0.6%) admissions of people with E-codes indicating only the location of the injury (E8490-E8499).
• 472,796 admissions left (86.5%)
Admissions by sex
• Injury admissions by sex• Females 216,738• Males 327,618
• Unintentional injury• 396,243 admissions• (83% of eligible cases)• (72% of all cases)
Deaths 1981 – 1997
• Total 24,912
• Unintentional18,185
• Males 12,026• Females 6,159
Areas (Unintentional deaths)
• Two level geography• City 6,039• Other 12,146
• Three level geography• City 6,039• Urban 1,954• Rural 10,192
Principal questions
• Concentrate on unintentional injury• 396,243 admissions• 18,185 deaths
• Rates of unintentional injury by area, age and sex
• SMR’s/SAR’s comparing cities to the remainder of the country by cause
Death rates Males and Females
1
10
100
1000
00_04 05_09 10_14 15_19 20_24 25_29 30_34 35_39 40_44 45_49 50_54 55_59 60_64 65_69 70_74 75_79 80_84 85+
Age group
Dea
th r
ate
per
100,
000
(log
scal
e)
Female
Male
Death rates City and Other
1
10
100
1000
00_04 10_14 20_24 30_34 40_44 50_54 60_64 70_74 80_84
Age group
Dea
th r
ate
per
100
,000
(lo
g s
cale
)
Other
City
Ratios of death rates
0
1
2
3
4
5
6
00_04 05_09 10_14 15_19 20_24 25_29 30_34 35_39 40_44 45_49 50_54 55_59 60_64 65_69 70_74 75_79 80_84 85+
Age group
Rat
io o
f mor
talit
y ra
tes
M:F
O:C
Death rates City;Urban;Rural
1
10
100
1000
00_04 05_09 10_14 15_19 20_24 25_29 30_34 35_39 40_44 45_49 50_54 55_59 60_64 65_69 70_74 75_79 80_84 85+
Age group
Dea
th r
ate
per
100,
000
(log
scal
e)
Rural
Urban
City
Admissions Males and Females
0
1000
2000
3000
4000
5000
6000
7000
00_04 05_09 10_14 15_19 20_24 25_29 30_34 35_39 40_44 45_49 50_54 55_59 60_64 65_69 70_74 75_79 80_84 85+
Age group
Adm
issi
on r
ate
per
1000
00
Female
Male
Admissions City and Other
0
1000
2000
3000
4000
5000
6000
7000
00_04 10_14 20_24 30_34 40_44 50_54 60_64 70_74 80_84
Age group
Ad
mis
sio
n r
ate
per
100
000
Other
City
Ratios of admission rates
0
0.5
1
1.5
2
2.5
3
3.5
00_04 05_09 10_14 15_19 20_24 25_29 30_34 35_39 40_44 45_49 50_54 55_59 60_64 65_69 70_74 75_79 80_84 85+
Age group
Rat
io o
f adm
issi
on r
ates
M:F
O:C
SMR’s and SAR’s by area
Deaths Deaths Admissions
75
100
125
City Urban Rural City Other City Other
Areas
SMR
+/-
95%
CI
SMR’s by cause, City and Other
0
25
50
75
100
125
150
175
Cause
SMR
+/- 9
5% C
I
Other
City
SAR’s by cause, City and Other
0
25
50
75
100
125
150
Cause
SA
R +
/- 95
% C
I
Other City
SAR’s by selected causes, City, Urban, Rural
0
25
50
75
100
125
150
175
Poisoning Suffocation Fall Drowning Transport Machinery Firearm
Cause
City Urban Rural
Limitations
• Problems of geography• Coarse, and may be unreliable
• Problems of coding• External causes often poorly documented
in hospital records• May be better for mortality, because of
coroners
• Definitions of ‘Injury’• For our purposes, external cause actually
coded
• Incomplete data• Location coding is poor, for example
Conclusions
• Substantial differences between injury experience in major cities, and other parts of the country
• Observed for deaths and admissions
• Fairly consistent ordering for all causes by sex and age• City < Urban < Rural
Cause specific variations
• Some have obvious explanations• Natural• Machinery
• Some not so obvious• Firearm deaths higher in country, but
admissions higher in city• ?Suicide vs. Crime
• Poisoning• ?Agrochemicals
Implications
• Need to target injury prevention measures to different areas as well as different age groups
• Need to address transport hazards in rural areas
• Improve geography on HIPE system!
• More systematic training for coders on injury coding