Element IA3: Loss Causation and Incident Investigation Flashcards
3.1 Theories/Models and use of loss causation Techniques 3.2 Quantitative Analysis of Accident and Ill-Health 3.3 Reporting and Recording of Loss Events 3.4 Loss and Near-Miss Investigations
- 1 Understand the following theories/models:
- accident/incident ratio studies, understanding their use and their limitations
1
- Birds domino and multi-causality theories (immediate, underlying and root causes)
1
- latent and active failures: purpose of Reason’s model of accident causation (swiss Cheese Model), fault tree, event tree and the Bowtie model
1
- behavioural root cause analysis.
1
3.2 Methods of calculating loss rates from raw data: accident/incident frequency rate
1
accident incidence rate,
1
accident severity rate,
1
ill-health prevalence rate
1
Presenting and interpreting loss event data in graphical and numerical format, using examples of histograms, pie charts and line graphs
1
The principles of statistical variability, validity and the use of distributions
(ie, importance of representative samples, sampling a population, errors in data).
3.3 Reporting requirements and procedures; with reference to the ILO Code of Practice: Recording and Notification of Occupational Accidents and Diseases (1996)
1
The significance of internal reporting and recording systems.
1
3.4 Loss and near miss investigations
• Implied legal requirements
1
The reasons for carrying out investigations:
- legal reasons (Expand)
- information/data gathering
- establishing the root, underlying and immediate causes
The benefits of carrying out an investigation
- to prevent recurrence (Expand)
- improved employee morale
- developing managerial skills