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| Research article summary (published 30 Mar 2009): |
Predicting patient aggression against nurses in all hospital areas.
Full Abstract
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 violence 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.
Author information
Author/s: Chapman, Rose (R); Perry, Laura (L); Styles, Irene (I); Combs, Shane (S);
Affiliation: Curtin University of Technology, Perth, Western Australia.
Journal and publication information
Publication Type: Journal Article
Journal: British journal of nursing (Mark Allen Publishing) (Br J Nurs), published in England. (Language: eng)
Reference: -2009 Apr 23-May 13; vol 18 (issue 8) : pp 476, 478-83
Dates: Created 2009/04/20; Completed 2009/07/15;
PMID: 19377393, status: MEDLINE (last retrieval date: 7/24/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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