e5.1 - Theories/models and use of loss causation techniques Flashcards

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1
Q

Incident

A

An unplanned event which has the potential to cause loss of some kind

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2
Q

Accident

A

An unplanned, unwanted event which causes loss of some kind

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3
Q

Heinrich (1931)

A

Tip of triangle - major accident

Middle of triangle - minor accident

Base of triangle - non-injury accident

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4
Q

Accident ratio studies demonstrate…

A

Most incidents do not result in a high severity outcome

Matter if chance whether an event results in injury, damage or near miss

All accidents and incidents should be investigated to find cause

Resources should be based on potential loss rather than actual loss

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5
Q

Near Misses (Accident ratio studies)

A

Near misses often have an identical root cause to serious incidents and can reveal management system failures before serious incidents occur

Not every near miss or minor accident could lead to a serious one.

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6
Q

Limitations of accident ratio studies

A

Different triangles from different organisations cannot be easily compared

Certain amount of data needed before comparisons

Similar injuries, different causes

Many injuries are musculoskeletal which could not have ended up as fatalities

Measures failure rather than success

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7
Q

Domino Theory

A

Single cause theory

Accident occurs due to five sequential factors

Each factor is caused by the preceding one

Remove any of the first three factors, prevent the accident

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8
Q

Domino theory - 5 factors

A

LACK OF CONTROL (inadequate system, standards)

INDIRECT CAUSE (personal factor & job system factor)

IMMEDIATE CAUSES (substandard act, practice or conviction)

ACCIDENT EVENT (event or contact)

INJURY/DAMAGE (the result)

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9
Q

Domino theory limitations

A

Simplistic

Reactive not proactive

Not useful in prediction the likelihood of accidents

Encourages focus on immediate rather than underlying causes

Restricts the search for multiple causes

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10
Q

Multi Causality theory

A

More than one cause of the accident, not just in sequence but occurring simultaneously e.g. Fuel+oxygen+source of ignition = Fire

Each must come in the right quantities at the right time

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11
Q

Multi causality theory - Advantages

A

Helps to consider many possible organisational and cultural issues

Encourages search for underlying/root causes

Underlying root causes encourage wider look at org. arrangements

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12
Q

Multi causality theory - limitations

A

More complex, high competence needed

Time consuming

Over complicating when causes are simple to understand

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13
Q

Immediate causes

A

Unsafe act/omission (people) or unsafe condition (place, equipment, materials)

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14
Q

Underlying causes

A

Management failing that allows the immediate causes to occur (e.g. failure to carry out risk assessment)

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15
Q

Root cause

A

Deeper management failings from which all underlying causes stem (e.g. lack of resources)

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16
Q

Swiss cheese model (James Reason)

A

Risk management in 4 layers

A failure in one layer (poor control) can be picked up by the next layer which has no holes (i.e. the control works)

17
Q

Swiss cheese model - latent failures

A

Contributory factors in the ‘system’
May have laid dormant for a long time
Introduced by organisational or managerial factors
Accumulate over time
Lack of management control
Lie dormant until triggered by ‘active’ failure

18
Q

Swiss cheese model - Active failure

A

Due to human error (accidental) or violation (deliberate)

19
Q

Fault tree analysis

A

A graphical technique used in risk assessment to provide combinations of possible occurrences that can result in an undesired result.

Used in multi causal investigation following back to its root cause using a logic diagram

Determine root causes by beginning with unwanted event (incident/accident)

20
Q

Event tree analysis

A

Based on binary logic (component either succeeds or fails)to assess protective systems designed to prevent

Analyses the possible consequences from failures

Event trees start with an INITIATING event and work towards the TOP event, the opposite to fault tree analysis.

21
Q

Event tree analysis - Limitations

A

Accuracy of data to determine probability of an event and the high degree of competence and expertise needed to complete them

22
Q

Bowtie Model

A

Method for visualizing hazards, barriers and control measures

Analysis of hazard and consequence to incidents (Known as TOP event)

23
Q

LEFT SIDE of bowtie

A

Comprises a fault tree

Barriers in place should be sufficient to stop event

24
Q

RIGHT SIDE of bowtie

A

Comprises event tree

Mitigation barriers to minimise consequences of incident