The search for exposure data 3rd International Conference Working On Safety September 15 th 2006.

The search for exposure data

3rd International Conference Working On SafetySeptember 15th 2006

Authors and affiliations

A. Bloemhoff, J. Kuiper

Consumer Safety Institute

D.J Klein HesselinkTNO Quality of Life WORM

TU DelftF. Ten Breejen, K. Leidelmeijer DemokritosRIGO RIVM

RPSR. WhitehouseHCRM

L.J. BellamyWhite Queen B.V

J.I.H. OhMinistry of Social Affairs & Employment

Occupational Risk Model

Quantify occupational risks

Risk:• Frequency of reported fatality, permanent injury and

recoverable injury per year of work

Data needs:• Accident data• Exposure data per year of work

Exposure in ORM

Bow-Tie is starting point

Risk = n/M

n: number of reported accidents resulting in fatality, permanent injury and recoverable injury in a year

Exposure unit = Mission: Hazardous activity/situation potentially leading to the accident

or Center Event of the Bow-Tie

M: – number of times of the hazardous activity in a year, or– number of hours being in the hazardous situation

The search for exposure data

The search began in 2004………….

Some 50 Bow-Ties

The search step 1

Available Dutch exposure data

- Labour Inspectorate expert judgement data

- Labour Inspectorate employer survey

- TNO employee survey

Available international exposure data- Job Exposure Matrix

Exposure unit = worker exposed to hazardous situationGeneral hazardsConclusion: Only part of the jigsaw puzzle

The search step 2

Find new data:

– Formal expert judgement

– Employee survey

Pilot Working on placement ladder

Conclusion: Use employees as experts of own exposure

The search step 3

Mission survey pilot

- Representative sample of 2,000 workers

- Dedicated Internetpanel TNS-NIPO

- Questionnaire asking for all missions

- Characteristics of employee and company (e.g. occupation, sector, age, gender, education, employment status, # working hours, company size)

Results: Dutch National Average

Fall from height from a non-moving vehicle

- n = 33 per year

- M = number of times climbing a non-moving vehicle per year

- M = 253 million

- n/M = 1.32 * 10-7

Struck by moving vehicle- n = 90 per year

- M = number of hours being near moving vehicles per year

- M = 795 million

- n/M = 1.13 * 10-7

Sectors at risk: Fall from placement ladder

Construction 29

Commercial services

(excl finance&ICT)

12

Wholesale & retail (excl car & supermarket)

9

Industry (excl process, chemical & metal)

7

Metal product industry 6

Culture, sport and recreation

12

Machine industry 7

Finishing of buildings 5

Agriculture, forestry & fishing

3

Commercial services

(excl finance&ICT)

3Finishing of buildings 25

Technical installation 20

Construction 14

Machine industry 6

Industry (excl process, chemical & metal)

4

Incidence

Incidence /100,000 employees

Incidence/1,000,000 missions

Occupations at risk: Top 10

Average number of hazards per occupational group

1 Bricklayers, carpenters and other construction workers

16.3

2 Plumbers, welders, sheet metal, and other workers 14.0

3 Machine-bench fitters, instrument makers, goods repair

13.4

4 Cattle and poultry farmers 12.8

5 Horticulture, bulb, flower, tree growers, foresters 12.6

6 Other agricultural jobs 11.8

7 Painters 11.1

8 Lorry drivers 10.2

9 Other jobs in craft and industry 10.0

10 Loaders, packers, ground workers and crane drivers

8.4

The search step 4

Final Mission survey: very large sample size

- Dutch National Average for all Bow-Ties

- Exposure data for 50 Hazardous situations in the Dutch workforce, but also for specific occupations, sectors, age groups, education levels, type of contract, company size, # working hours

- Exposure data can be related to accident data to provide detailed risk estimates and risk groups

- Relevant to policy makers at national level, at sector level and at company level, to safety professionals and to researchers.