Literature DB >> 19377393

Predicting patient aggression against nurses in all hospital areas.

Rose Chapman1, Laura Perry, Irene Styles, Shane Combs.   

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.

Entities:  

Mesh:

Year:  2009        PMID: 19377393     DOI: 10.12968/bjon.2009.18.8.41810

Source DB:  PubMed          Journal:  Br J Nurs        ISSN: 0966-0461


  8 in total

Review 1.  Management of Violence and Aggression in Emergency Environment; a Narrative Review of 200 Related Articles.

Authors:  Maryam Ziaei; Ali Massoudifar; Ali Rajabpour-Sanati; Ali-Mohammad Pourbagher-Shahri; Ali Abdolrazaghnejad
Journal:  Adv J Emerg Med       Date:  2018-11-29

2.  Understanding patient-to-worker violence in hospitals: a qualitative analysis of documented incident reports.

Authors:  Judith E Arnetz; Lydia Hamblin; Lynnette Essenmacher; Mark J Upfal; Joel Ager; Mark Luborsky
Journal:  J Adv Nurs       Date:  2014-08-04       Impact factor: 3.187

3.  High Incidence of Workplace Violence in Metropolitan Emergency Departments of Thailand; a Cross Sectional Study.

Authors:  Adisak Nithimathachoke; Wanawat Wichiennopparat
Journal:  Arch Acad Emerg Med       Date:  2021-03-25

4.  How psychology might alleviate violence in queues: Perceived future wait and perceived load moderate violence against service providers.

Authors:  Dorit Efrat-Treister; Arik Cheshin; Dana Harari; Anat Rafaeli; Shira Agasi; Hadar Moriah; Hanna Admi
Journal:  PLoS One       Date:  2019-06-24       Impact factor: 3.240

5.  Judicial judgment and media sensation of violence against medical staff in China: A fuzzy set qualitative comparative analysis (fsQCA).

Authors:  Jian Xu; Yongrong Cao; Yangyang Wang; Qingquan Qiao
Journal:  PLoS One       Date:  2021-10-22       Impact factor: 3.240

6.  Worker Characteristics and Measures Associated With Patient and Visitor Violence in the COVID-19 Pandemic: A Multilevel Regression Analysis From China.

Authors:  Ya-Qian Guo; Ju Huang; Na-Na Xu; Xiao-Jing Ma
Journal:  Front Public Health       Date:  2022-06-02

7.  Validity and reliability of the novel three-item occupational violence patient risk assessment tool.

Authors:  C J Cabilan; Joshua McRae; Ben Learmont; Karen Taurima; Sue Galbraith; Dale Mason; Robert Eley; Centaine Snoswell; Amy N B Johnston
Journal:  J Adv Nurs       Date:  2022-02-07       Impact factor: 3.057

Review 8.  Preventing and managing workplace violence against healthcare workers in Emergency Departments.

Authors:  Gabriele D'Ettorre; Vincenza Pellicani; Mauro Mazzotta; Annamaria Vullo
Journal:  Acta Biomed       Date:  2018-02-21
  8 in total

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