Predicting patient aggression against nurses in all hospital areas

Workplace violence directed at nurses is an alarming phenomenon across the world. To intervene and manage these episodes as quickly as possible, nurses need to identify those factors that can alert them to the possibility that a violent event may occur. However, frameworks to help nurses predict e...

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Main Authors: Chapman, Rose, Perry, L., Styles, I., Combs, Shane
Format: Journal Article
Published: Mark Allen Publishing 2009
Subjects:
Online Access:http://www.internurse.com/cgi-bin/go.pl/library/article.cgi?uid=41810;article=BJN_18_8_476_483
http://hdl.handle.net/20.500.11937/8986
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author Chapman, Rose
Perry, L.
Styles, I.
Combs, Shane
author_facet Chapman, Rose
Perry, L.
Styles, I.
Combs, Shane
author_sort Chapman, Rose
building Curtin Institutional Repository
collection Online Access
description Workplace violence directed at nurses is an alarming phenomenon across the world. To intervene and manage these episodes as quickly as possible, nurses need to identify those factors that can alert them to the possibility that a violent event may occur. However, frameworks to help nurses predict episodes of workplace violence are limited. This article presents the findings of a study of nurses' experience of workplace vioelnce and identifies those factors and behaviours that nurses reported as indicating that an episode of workplace violence is likely to occur. A case study approach was used involving quantitative and qualitative data. One hundred and thirteen questionnaires were completed and 20 interviews were conducted in 2006. Nurses identified nine behaviours and factors that assist them to predict workplace violence. The first five factors comprising staring, tone of voice, anxiety, mumbling and pacing (STAMP) matched those identified in a previous study. However, the last four factors, comprising emotions, disease process, assertive/non-assertive behaviour and resources (EDAR) expand upon that study. Therefore, the acronym STAMPEDAR was used to classify the nine components. Being alert to these behaviours and factors may help nurses predict that an episode of workplace violence is likely to occur.
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spelling curtin-20.500.11937-89862017-01-30T11:09:53Z Predicting patient aggression against nurses in all hospital areas Chapman, Rose Perry, L. Styles, I. Combs, Shane nurses predicting workplace violence non-teaching hospital case study Workplace violence directed at nurses is an alarming phenomenon across the world. To intervene and manage these episodes as quickly as possible, nurses need to identify those factors that can alert them to the possibility that a violent event may occur. However, frameworks to help nurses predict episodes of workplace violence are limited. This article presents the findings of a study of nurses' experience of workplace vioelnce and identifies those factors and behaviours that nurses reported as indicating that an episode of workplace violence is likely to occur. A case study approach was used involving quantitative and qualitative data. One hundred and thirteen questionnaires were completed and 20 interviews were conducted in 2006. Nurses identified nine behaviours and factors that assist them to predict workplace violence. The first five factors comprising staring, tone of voice, anxiety, mumbling and pacing (STAMP) matched those identified in a previous study. However, the last four factors, comprising emotions, disease process, assertive/non-assertive behaviour and resources (EDAR) expand upon that study. Therefore, the acronym STAMPEDAR was used to classify the nine components. Being alert to these behaviours and factors may help nurses predict that an episode of workplace violence is likely to occur. 2009 Journal Article http://hdl.handle.net/20.500.11937/8986 http://www.internurse.com/cgi-bin/go.pl/library/article.cgi?uid=41810;article=BJN_18_8_476_483 Mark Allen Publishing restricted
spellingShingle nurses
predicting workplace violence
non-teaching hospital
case study
Chapman, Rose
Perry, L.
Styles, I.
Combs, Shane
Predicting patient aggression against nurses in all hospital areas
title Predicting patient aggression against nurses in all hospital areas
title_full Predicting patient aggression against nurses in all hospital areas
title_fullStr Predicting patient aggression against nurses in all hospital areas
title_full_unstemmed Predicting patient aggression against nurses in all hospital areas
title_short Predicting patient aggression against nurses in all hospital areas
title_sort predicting patient aggression against nurses in all hospital areas
topic nurses
predicting workplace violence
non-teaching hospital
case study
url http://www.internurse.com/cgi-bin/go.pl/library/article.cgi?uid=41810;article=BJN_18_8_476_483
http://hdl.handle.net/20.500.11937/8986