Workshop on Occupational Accidents
June 12, 2013
1 Turku University of Applied Sciences Pekka Räisänen
Workshop topics
• Introductions • Harri Halme: MLC 2006 improves occupational
safety and health • Pekka’s workshop slides incl. proposal for
Nordic statistics • Kevin McSweeney’s slides on statistics at a
suitable moment
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European trends in OSH
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Occupational safety and health in the transport sector — An overview © European Agency for Safety and Health at Work, 2011
?
Turku University of Applied Sciences Pekka Räisänen
Corresponds to about 10 accidents per million hours, 24 hours at risk
Comparisons between Nordic countries
• Currently, comparing reported maritime occupational accident statistics is difficult
• Differences are typical in: • What is an occupational accident /reportable vs. insurance data/ • What is the time at risk onboard /true vs. used in statistics/ • Sizes and types of ships that are included in each statistics
• There is a need for a Nordic baseline for benchmarking in many fields of shipping
• Our project tries to find the common features and will recommend a joint format for statistics
Size of Nordic-controlled fleets
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Relative size of the merchant fleets in four Nordic countries (based on gross tonnages of national and International Register fleets, the data is from (Danish Maritime Administration 2011)
Why? – Safety improvement is possible
• An example: • Safety Managers of some European
Shipyards formed a Safety Interest Group • Learning from what is good from others • Learning from others’ mistakes • Development by benchmarking
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10 Turku University of Applied Sciences Pekka Räisänen
Comparison of published occupational accident data of four Nordic countries
0 %
20 %
40 %
60 %
80 %
100 %
120 %
2003 2004 2005 2006 2007 2008 2009 2010 2011Year
Rela
tive
rate
of a
ccid
ents
Denmark
Finland
Sw eden
Norw ay
Räisänen, P. 2012. Some Uses of Accident Data in Maritime Occupational Safety. Turku University of Applied Sciences, to be published.
CAFE results: challenges of comparisons
Workshop task: What data to use
• Currently, comparing reported maritime occupational accident statistics is difficult
• Differences are typical in: • What is an occupational accident /reportable vs. insurance data/ • What is the time at risk onboard /true vs. used in statistics/ • Sizes and types of ships that are included in each statistics
Proposal to common representation of statistics in Nordic countries
• Lost Time Incidents taken from insurance data instead of self-reporting
• Time at risk taken from ships safe manning certificate or their known manning (much better), and 24 hours onboard
Accident rate comparisons, work in progress
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Probably lower than this, work in progress
NUMBER OF WORK ACCIDENTS ONBOARD PER MILLION WORKHOURS Example Shipping Cargo traffic 2005-2009
0
10
20
30
40
50
60
70
80
90
100
Deck/engine officers ExampleShipping
Deck/engine personnelExample Shipping
Galley personnel ExampleShipping
Num
ber o
f acc
iden
ts p
er m
illio
n ho
urs
(LTI
F)
Example Shipping
All cargo ships
Occupational accidents on cargo vessels
Actual participant statistics are confidential – this is an example of the method only
True salaried hours
NUMBER OF WORK ACCIDENTS PER MILLION WORKING HOURS ONBOARD Example Line 2005-2009
0
20
40
60
80
100
120
140
160
180
200
Shopassistants/sales
personnelExample Line
Deck/engineoff icers Example
Line
Deck and enginepersonnel
Example Line
Securitypersonnel
Example Line
Galley personnelExample Line
Waiters ExampleLine
Cabin attendantsExample Line
Cruise andprogram hostsExample Line
Num
ber o
f acc
iden
ts p
er m
illio
n ho
urs
(LTI
F)
ExampleLine
Allpassengervessels
Graphs for personnel groups
Actual participant statistics are confidential – this is an example of the method only
YEARLY WORK ACCIDENTS PER MILLION WORKING HOURS ONBOARD Security personnel Example Line
0102030405060708090
100110120130140150160170180190200
2004 2005 2006 2007 2008 2009 2010
Year
Num
ber o
f acc
iden
ts p
er m
illio
n ho
urs
(LTI
F)
NO
TE T
HAT
THE
SCAL
E IS
DIF
FERE
NT T
HAN
IN T
HE O
TH
GRA
PHS
Work accidents on allpassenger vessels
Security personnelExample Line
Development graphs for each personnel group
Actual participant statistics are confidential – this is an example of the method only
Thank you for your attention!
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Jouko Langen/vastavalo.fi