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Developing a framework of behaviours before suicides at railway locations

机译:在铁路场所制定自杀前的行为框架

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Better knowledge of behaviours of people at railway property could help with identifying those at risk of suicide. Literature has been reviewed from a range of disciplines on what is known about studying behaviour in this type of public location. Secondary analysis has been carried out on descriptions of behaviour from structured exercises with experts and other pre-existing sources. A framework has been produced with five main classes (display of emotion, appearance, posture/movements, activities and interactions) and associated sub-classes. Commentary has been provided on factors that influence identification of suspicious behaviours, how to distinguish these from normal behaviours and the circumstances that inhibit timely reactions to the behaviour amidst the complexity of the operational railway. Opportunities to develop and use the framework are discussed, including using this to prompt collection of additional behavioural data from wider resources, enhancing staff training and developing requirements for effective use of surveillance technologies.Practitioner Summary: Many railway suicides could be prevented with better understanding of behaviours before events. Pre-existing data sources have been analysed, producing a framework highlighting five aspects of behaviour. This can prompt the collection of better evidence on pre-suicidal behaviours, with future applications in developing surveillance technologies, training staff and public awareness.
机译:更好地了解铁路财产的人的行为可能有助于确定有自杀危险的人。已经从各种学科中回顾了有关在这种公共场所研究行为的已知文献。已与专家和其他现有来源进行的结构化练习,对行为描述进行了二级分析。已经产生了具有五个主要类别的框架(情感,外观,姿势/动作,活动和互动的显示)以及相关的子类别。对于影响可疑行为识别的因素,如何将其与正常行为区分开以及在运营铁路的复杂性中妨碍及时对行为做出及时反应的情况,已进行了评论。讨论了开发和使用该框架的机会,包括利用该框架来提示从更广泛的资源中收集更多的行为数据,加强人员培训以及制定有效使用监视技术的要求。从业者摘要:通过更好地了解,可以预防许多铁路自杀事件。事件发生前的行为。已对现有数据源进行了分析,从而产生了一个突出行为五个方面的框架。这可以促使人们收集有关自杀前行为的更好证据,并将其应用于发展监控技术,培训员工和提高公众意识方面。

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