Background: With the current nursing shortage there are fewer experienced nurses and more newly licensed registered nurses (NLRNs) in the workplace. This shortage may be due in part to inconsistencies between role expectations learned in school and the practice environment. These inconsistencies may make it challenging to transition from nursing school into professional healthcare organizations. Nurses with certain person-level traits, including resilience and emotional intelligence, may be more likely to make a successful transition into practice. Findings may improve our understanding of what person-level traits are important for making the successful transition to the workforce. Purpose: The current study explored whether emotional intelligence (EI) and resilience influenced transition into professional roles. Theoretical Framework: Understanding how cultural shock and adaptation are challenging for many NLRNs is important. Duchscher transition theory provided an overview of how NLRNs engaged in the professional practice role as they are confronted with the realities of the work environment. Methods: A non-experimental research design with descriptive cross-sectional study is used to determine if EI and resilience have any effect on NLRNs transitioning into their professional roles. Results: With a sample size of 63, there is a direct positive linear relationship between resilience and global trait EI and its subscales for NLRNs. The correlation is significant with the exception of the EI subscale emotionality. Also there was no significance with NLRNs who transitioned in a critical care setting and those in other specialty care areas. Conclusions: There is a need for further exploration of this relationship with a larger sample size and the need to investigate person-level characteristics in NLRNs who successfully transition to their professional role.
| Identifer | oai:union.ndltd.org:nova.edu/oai:nsuworks.nova.edu:hpd_con_stuetd-1057 |
| Date | 01 January 2019 |
| Creators | Fong-Hong, Lee |
| Publisher | NSUWorks |
| Source Sets | Nova Southeastern University |
| Detected Language | English |
| Type | dissertation |
| Format | application/pdf |
| Source | Student Theses, Dissertations and Capstones |
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