Abstract
In the hospital setting, de-escalation training has become a very important method of preventing workplace violence against nurses and other healthcare workers. While nurses are now required to complete workplace violence prevention training, there is no guarantee that nurses who complete the training have the communication skills needed during the de-escalation process with disruptive or aggressive patients. In prelicensure nursing programs, key skills in deescalation training such as limit setting could form a solid foundation for any further training provided in the hospital setting. An online educational module on the topic of limit setting with patients and visitors was created for prelicensure graduate nursing students to address the lack of training and practice for workplace violence prevention training.
Sigma Membership
Zeta Eta at-Large
Type
Thesis
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Pilot/Exploratory Study
Keywords:
Nursing Students, Workplace Violence, Nursing Education, De-Escalation Training, Workplace Violence Prevention
Advisor
Susan L. Adams
Second Advisor
Jessica Draughon Moret
Third Advisor
Ricky Norwood
Degree
Master's
Degree Grantor
University of California, Davis
Degree Year
2021
Recommended Citation
Yang, Maychao Michelle, "Preparing prelicensure nursing students for workplace violence: A limit setting education module" (2022). Theses. 58.
https://www.sigmarepository.org/theses/58
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2022-01-25
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 28719016; ProQuest document ID: 2598120166. The author still retains copyright.