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户外活动致伤原因:户外活动伤害事件的系统分析。

Injury causation in the great outdoors: A systems analysis of led outdoor activity injury incidents.

机构信息

University of the Sunshine Coast Accident Research (USCAR), Faculty of Arts and Business, School of Social Sciences, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.

University of the Sunshine Coast Accident Research (USCAR), Faculty of Arts and Business, School of Social Sciences, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia; Human Factors Group, Monash University Accident Research Centre, Clayton Campus, Monash University, Victoria 3800, Australia.

出版信息

Accid Anal Prev. 2014 Feb;63:111-20. doi: 10.1016/j.aap.2013.10.019. Epub 2013 Oct 30.

DOI:10.1016/j.aap.2013.10.019
PMID:24284079
Abstract

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.

摘要

尽管人们呼吁采用系统方法来评估和预防户外领导活动领域中的伤害事件,但系统分析框架在事故数据分析中的应用却很少。本文分析了 1014 起户外领导活动伤害和未遂事件,其中使用了基于系统的风险管理框架来对涉及户外领导活动“系统”六个层面的影响因素进行分类。该分析确定了户外领导活动系统各个层面的因果因素,证明了该框架在户外领导活动伤害领域事故分析中的有效性。此外,还确定了与当前数据收集框架相关的问题,这些问题可能限制了对涉及人员、设备和环境之外的影响因素的识别。最后,讨论了需要新的和改进的数据系统来支撑系统哲学和户外领导活动事故因果关系的新模型。

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