Workplace violence is a persistent problem in health care, and incidence rates have increased over the years. Traditional reporting systems, relying mostly on paper formats, are inadequate for developing effective predictive models for intervention and reducing acts of violence by patients to staff. The purpose of the development and deployment of the psychiatric emergency response team (PERT) was to provide effective intervention within the MIAHTAPS (Altered Mental status, Irritability, Agitation, History of Violence, Threatening, Attacking Objects, Pacing, and Staring) behavior prediction tool to reduce the severity and rates of violence in a hospital setting. Lewin's change theory was used to implement the necessary cultural change for effective deployment of PERT and MIAHTAPS. MIAHTAPS, with PERT as an integral component, was used by the primary nurse on admission and during every care shift to assess patients' potential for violence. Pre- and post- intervention assessments were completed to determine the effectiveness of the intervention. Quantitative and open-ended question responses from 200 nurse participants, who completed the 2 online surveys, were analyzed using descriptive and frequency distributions. Findings from the project showed that nurses could identify patient potential for violence and recognize how to diffuse situations effectively 34% of the time, compared to 14% before PERT. A post-implementation survey showed that 75% of the nurses found the MIAHTAPS and PERT system useful and easy to use. Having an easy-to-use tool that helps to identify potential for violence will help hospital and other workplace staff to develop and implement preventive interventions and as a result promote positive social change.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-4808 |
| Date | 01 January 2017 |
| Creators | Mackay, Angela |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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