Abstract
Emergency room nurses work in an environment that is volatile and challenging due to the frequent exposures to critical incidences and stressful events. Given the frequency of exposure to these critical incidences and stressful events, this study was initiated to identify the reactionary responses to stress in emergency room nurses and to if the nurses could then be predisposed to posttraumatic stress disorder. The theoretical framework of Betty Neuman's Systems model of nursing was reflected throughout the investigation for the purpose of identifying the effects of stress on a person's line of defense. The use of the Depression Anxiety Stress Survey along with an open-ended question on the demographics page identifying critical incidences and stressful events provided the statistical information corroborating the significant findings. The benefits of the findings include strengthening the ability of emergency room nurses continued employment in the emergency room and decreasing the probability of suffering from posttraumatic stress disorder.
Sigma Membership
Non-member
Type
Thesis
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
Quantitative Research
Keywords:
PTSD in Nurses, Nursing Stress, Nurses and Trauma
Advisors
Gutt, Carole
Degree
Master's
Degree Grantor
D'Youville College
Degree Year
2006
Recommended Citation
Karr, Coleen, "Recognition of stress in emergency room nurses" (2019). Theses. 74.
https://www.sigmarepository.org/theses/74
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
2019-05-06
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 1441480; ProQuest document ID: 304923593. The author still retains copyright.