e5.2 - The quantitative analysis of accident and Ill health data Flashcards

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1
Q

Accident statistics and ill-health data

A

Can be compared across the organisation - by department or by site

Can be used for benchmarking

Can be compared with national and international data

Comparison within organisation over time (trends in the data)

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2
Q

Accident statistics and ill-health data - variables to be considered

A

Reporting levels

Types of activity/risks

Accident definitions

Competence of workers

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3
Q

Calculating loss rates from raw data (methods)

A

Accident frequency rate (AFR)

Accident Incidence rate (AIR)

Accident severity rate (ASR)

Ill-health prevalence (IHPR)

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4
Q

AFR

A

Number of accidents x 100,000/Total number of man hours worked

Takes into account variations in work carried out

Considers overtime, temporary work, part time, etc.

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5
Q

AIR

A

Number of accidents x 1,000/Average number of people employed

Takes into account variations in the size of the workforce

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6
Q

ASR

A

Number of days lost x 1,000/Total number of man hours worked

Considers the severity of the accidents through the amount of days lost

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7
Q

IHPR

A

Number of cases of ill-health in the population x 100/Number of persons at risk

Percentage of population with the disease

Total population considered (contractors, visitors, etc.)

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8
Q

Advantages of using accident rates as a measure of H&S performance

A

A reliable, usable index (number) for specified events/criteria

Allow for accurate plotting of trends

Show actual occurrences of undesired loss events

Allow like for like performance comparisons, both internally and externally

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9
Q

Disadvantages of using accident rates as a measure of H&S performance

A

Historic measures that does not predict future performance

Indicate the effectiveness of previous rather than current safety measures

Accidents may not be reported

Numbers may be too small to be used as a reliable performance indicator

An absence of accidents does not mean that procedures currently in place are necessarily safe

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