What would you like? Identifying the required characteristics of an industry-wide incident reporting and learning system for the led outdoor activity sector
- Goode, Natassia, Finch, Caroline, Cassell, Erin, Lenne, Michael, Salmon, Paul
- Authors: Goode, Natassia , Finch, Caroline , Cassell, Erin , Lenne, Michael , Salmon, Paul
- Date: 2014
- Type: Text , Journal article
- Relation: Australian Journal of Outdoor Education Vol. 17, no. 2 (July 2014), p. 2-15
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text: false
- Reviewed:
- Description: The aim of this study was to identify the characteristics that led outdoor activity providers agree are necessary for the development of a new industry-wide incident reporting and learning system (UPLOADS). The study involved: 1) a literature review to identify a set of characteristics that are considered to be hallmarks of successful reporting and learning systems in other safety-critical domains; and (2) the presentation of these characteristics to 25 Australian led outdoor activity providers using a two round modified-Delphi technique to obtain consensus views on their relative importance in this domain. Thirteen out of 30 characteristics were endorsed as "essential" for developing an incident reporting and learning system for the led outdoor activity sector, and a further 13 were endorsed as "required". "Essential" characteristics primarily related to operational or practical characteristics of the system, while "required" characteristics primarily related to system infrastructure, data quality and the basis for developing of countermeasures to address identified injury risks. The findings indicate that although led outdoor activity providers are primarily concerned that the demands of reporting do not adversely impact on their day to day operations, they also recognise that data collection methods and countermeasure development need to be of high quality. The paper concludes by highlighting some potential strategies for implementing the characteristics considered "essential" and "required".
- Authors: Goode, Natassia , Finch, Caroline , Cassell, Erin , Lenne, Michael , Salmon, Paul
- Date: 2014
- Type: Text , Journal article
- Relation: Australian Journal of Outdoor Education Vol. 17, no. 2 (July 2014), p. 2-15
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text: false
- Reviewed:
- Description: The aim of this study was to identify the characteristics that led outdoor activity providers agree are necessary for the development of a new industry-wide incident reporting and learning system (UPLOADS). The study involved: 1) a literature review to identify a set of characteristics that are considered to be hallmarks of successful reporting and learning systems in other safety-critical domains; and (2) the presentation of these characteristics to 25 Australian led outdoor activity providers using a two round modified-Delphi technique to obtain consensus views on their relative importance in this domain. Thirteen out of 30 characteristics were endorsed as "essential" for developing an incident reporting and learning system for the led outdoor activity sector, and a further 13 were endorsed as "required". "Essential" characteristics primarily related to operational or practical characteristics of the system, while "required" characteristics primarily related to system infrastructure, data quality and the basis for developing of countermeasures to address identified injury risks. The findings indicate that although led outdoor activity providers are primarily concerned that the demands of reporting do not adversely impact on their day to day operations, they also recognise that data collection methods and countermeasure development need to be of high quality. The paper concludes by highlighting some potential strategies for implementing the characteristics considered "essential" and "required".
Injury causation in the great outdoors: A systems analysis of led outdoor activity injury incidents
- Salmon, Paul, Goode, Natassia, Lenne, Michael, Finch, Caroline, Cassell, Erin
- Authors: Salmon, Paul , Goode, Natassia , Lenne, Michael , Finch, Caroline , Cassell, Erin
- Date: 2014
- Type: Text , Journal article
- Relation: Accident Analysis and Prevention Vol. 63, no. February (2014), p. 111-120
- Full Text:
- Reviewed:
- Description: Despite calls for a systems approach to assessing and preventing injurious incidents within the led outdoor activity domain, applications of systems analysis frameworks to the analysis of incident data have been sparse. This article presents an analysis of 1014 led outdoor activity injury and near miss incidents whereby a systems-based risk management framework was used to classify the contributing factors involved across six levels of the led outdoor activity 'system'. The analysis identified causal factors across all levels of the led outdoor activity system, demonstrating the framework's utility for accident analysis efforts in the led outdoor activity injury domain. In addition, issues associated with the current data collection framework that potentially limited the identification of contributing factors outside of the individuals, equipment, and environment involved were identified. In closing, the requirement for new and improved data systems to be underpinned by the systems philosophy and new models of led outdoor activity accident causation is discussed.© 2013 Elsevier Ltd. All rights reserved.
- Description: C1
- Authors: Salmon, Paul , Goode, Natassia , Lenne, Michael , Finch, Caroline , Cassell, Erin
- Date: 2014
- Type: Text , Journal article
- Relation: Accident Analysis and Prevention Vol. 63, no. February (2014), p. 111-120
- Full Text:
- Reviewed:
- Description: Despite calls for a systems approach to assessing and preventing injurious incidents within the led outdoor activity domain, applications of systems analysis frameworks to the analysis of incident data have been sparse. This article presents an analysis of 1014 led outdoor activity injury and near miss incidents whereby a systems-based risk management framework was used to classify the contributing factors involved across six levels of the led outdoor activity 'system'. The analysis identified causal factors across all levels of the led outdoor activity system, demonstrating the framework's utility for accident analysis efforts in the led outdoor activity injury domain. In addition, issues associated with the current data collection framework that potentially limited the identification of contributing factors outside of the individuals, equipment, and environment involved were identified. In closing, the requirement for new and improved data systems to be underpinned by the systems philosophy and new models of led outdoor activity accident causation is discussed.© 2013 Elsevier Ltd. All rights reserved.
- Description: C1
Lost in translation: the validity of a systemic accident analysis method embedded in an incident reporting software tool
- Goode, Natassia, Salmon, Paul, Taylor, Natalie, Lenné, Michael, Finch, Caroline
- Authors: Goode, Natassia , Salmon, Paul , Taylor, Natalie , Lenné, Michael , Finch, Caroline
- Date: 2016
- Type: Text , Journal article
- Relation: Theoretical Issues in Ergonomics Science Vol. 17, no. 5-6 (2016), p. 483-506
- Full Text:
- Reviewed:
- Description: ABSTRACT Despite the proposed advantages of systems accident analysis (SAA) methods for understanding incident causation, they have not been widely adopted by practitioners. The aim of this study was to evaluate the criterion-referenced validity of an SAA method embedded within an incident reporting software tool. Thirteen practitioners used the tool to collect and analyse incident data within their organisation. The incident data were then analysed by researchers experienced in using the SAA method. Overall, there were low levels of agreement between participants and researchers regarding the identification and classification of factors and relationships. The findings indicate the systems thinking principles underpinning the SAA method may have been ‘lost in translation’, in that participants often identified only one or two factors and showed a poor understanding of how to identify relationships between factors. The methodological developments required to ensure that practitioners can validly apply the SAA method are discussed.
- Authors: Goode, Natassia , Salmon, Paul , Taylor, Natalie , Lenné, Michael , Finch, Caroline
- Date: 2016
- Type: Text , Journal article
- Relation: Theoretical Issues in Ergonomics Science Vol. 17, no. 5-6 (2016), p. 483-506
- Full Text:
- Reviewed:
- Description: ABSTRACT Despite the proposed advantages of systems accident analysis (SAA) methods for understanding incident causation, they have not been widely adopted by practitioners. The aim of this study was to evaluate the criterion-referenced validity of an SAA method embedded within an incident reporting software tool. Thirteen practitioners used the tool to collect and analyse incident data within their organisation. The incident data were then analysed by researchers experienced in using the SAA method. Overall, there were low levels of agreement between participants and researchers regarding the identification and classification of factors and relationships. The findings indicate the systems thinking principles underpinning the SAA method may have been ‘lost in translation’, in that participants often identified only one or two factors and showed a poor understanding of how to identify relationships between factors. The methodological developments required to ensure that practitioners can validly apply the SAA method are discussed.
Looking beyond people, equipment and environment : Is a systems theory model of accident causation required to understand injuries and near misses during outdoor activities?
- Goode, Natassia, Salmon, Paul, Lenne, Michael, Finch, Caroline
- Authors: Goode, Natassia , Salmon, Paul , Lenne, Michael , Finch, Caroline
- Date: 2015
- Type: Text , Conference paper
- Relation: 6th International Conference on Applied Human Factors and Ergonomics (Ahfe 2015) and the Affiliated Conferences, Ahfe 2015; Las Vegas, USA; 26th-30th July 2015; published in Procedia Manufacturing Vol. 3, p. 1125-1131
- Relation: http://purl.org/au-research/grants/nhmrc/1058737
- Full Text:
- Reviewed:
- Description: The National Incident Database (NID) provides a standardised, industry-wide, approach to incident reporting for the outdoor sector in New Zealand (NZ). The aim of this study was to determine whether the NID contributing factor categories (i. e. people, equipment and environment) are sufficient for classifying the data that has been collected on accident causation by the NID, or whether a systems theory framework is required. A sample of injury and near miss reports (n = 228) were extracted from the NID and analysed. All contributing factors identified were classified according to Rasmussen's (1997) Risk Management Framework (RRMF), which was adapted to describe the " led outdoor activity system". In total, 58 different contributing factor categories were identified across the 228 incidents. Factors were classified across all levels of the framework, which indicates that the NID categories are inadequate. The findings also demonstrate that RRMF is appropriate for classifying the contributing factors involved in less severe injuries and near misses that do not have in-depth investigations associated with them. (C) 2015 The Authors. Published by Elsevier B.V.
- Authors: Goode, Natassia , Salmon, Paul , Lenne, Michael , Finch, Caroline
- Date: 2015
- Type: Text , Conference paper
- Relation: 6th International Conference on Applied Human Factors and Ergonomics (Ahfe 2015) and the Affiliated Conferences, Ahfe 2015; Las Vegas, USA; 26th-30th July 2015; published in Procedia Manufacturing Vol. 3, p. 1125-1131
- Relation: http://purl.org/au-research/grants/nhmrc/1058737
- Full Text:
- Reviewed:
- Description: The National Incident Database (NID) provides a standardised, industry-wide, approach to incident reporting for the outdoor sector in New Zealand (NZ). The aim of this study was to determine whether the NID contributing factor categories (i. e. people, equipment and environment) are sufficient for classifying the data that has been collected on accident causation by the NID, or whether a systems theory framework is required. A sample of injury and near miss reports (n = 228) were extracted from the NID and analysed. All contributing factors identified were classified according to Rasmussen's (1997) Risk Management Framework (RRMF), which was adapted to describe the " led outdoor activity system". In total, 58 different contributing factor categories were identified across the 228 incidents. Factors were classified across all levels of the framework, which indicates that the NID categories are inadequate. The findings also demonstrate that RRMF is appropriate for classifying the contributing factors involved in less severe injuries and near misses that do not have in-depth investigations associated with them. (C) 2015 The Authors. Published by Elsevier B.V.
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