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Journal Article

Citation

Austin LC, Kovacs D, Thorne S, Evans N, Moody J. Inj. Prev. 2016; 22(Suppl 2): A70.

Copyright

(Copyright © 2016, BMJ Publishing Group)

DOI

10.1136/injuryprev-2016-042156.191

PMID

unavailable

Abstract

Background Electric current is a leading cause of occupational fatality in North America. For each fatal electrical occupational injury in Ontario there are about five critical and 18 non-critical injuries. Analyses show that unsafe work practices and human error play a role in about 70% of fatal electrical occupational injuries. Electric workers are at especially high risk. To understand the cause of unsafe work practices, one must first understand the influences on electric workers' real-time decisions and behaviours.

Methods We used a mental models research approach to identify and gain insight into those influences. First, we developed an "expert model" of influences on electricians' judgments and decision making regarding safe work practices based upon a literature review and a workshop with electricians and representatives from electrical associations, unions, NGOs and government. The expert model informed development of a semi-structured interview protocol to elicit electricians' "mental models" - their complex webs of beliefs about safe work behaviours. In-depth interviews were then conducted with 60 Ontario electricians in Fall 2015 to discuss work experiences and influences on safe work practices. Responses were coded against the expert model.

Results We will present the results of the mental models research with electricians using the expert model as a framework. The expert model itself is an important research product, providing a structured representation of experts' perceptions of influences on electric workers' behaviour. It can be used as a framework for further research and for development of risk communications and other safety initiatives.

Conclusions This study is the first to use a decision analytic mental models approach to understand influences on electricians' decision making and safety behaviours. Resulting insights will inform development of behaviour-focused interventions to reduce injury and death.

Abstract from Safety 2016 World Conference, 18-21 September 2016; Tampere, Finland. Copyright © 2016 The author(s), Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions


Language: en

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