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Professional Identity and Intention to Leave Nursing Among Generation Z Nursing Students: A Multisite Cross-Sectional
Mashael Hasan Alamrani1, Maha Jameel Alfuraydi, Shmokh Nawaf Alsulami
1Author Affiliations: Faculty of Nursing, University of Tabuk, Tabuk, Saudi Arabia (Dr Alamrani, Ms Alfuraydi, Ms Alsulami, Ms Dana Albalawi, Ms Ftoon Albalawi, Ms Jahlan, and Dr Dahinten); School of Nursing, University of British Columbia, Vancouver, British Columbia, Canada (Dr Dahinten); and Department of Nursing, College of Applied Medical Sciences, King Faisal University, Hofuf, Saudi Arabia (Dr Banappagoudar).
Higher professional identity (PI) in nursing students is linked to a lower intention to leave (ITL). Developing PI may help retain students in prelicensure nursing education programs.
Area of Science:
- Nursing Education Research
- Professional Identity Development
- Student Retention Strategies
Background:
- Limited understanding of the relationship between professional identity (PI) and intention to leave (ITL) in prelicensure nursing education.
- Investigating factors influencing student attrition is crucial for maintaining a qualified nursing workforce.
Purpose of the Study:
- To examine the association between PI and ITL among prelicensure nursing students.
- To identify specific PI dimensions and demographic factors independently predicting ITL.
Main Methods:
- Multisite, descriptive correlational study utilizing cross-sectional data.
- Surveyed 305 nursing students in their 3rd and 4th year in Saudi Arabia.
- Univariate and multivariable logistic regression analyses were employed.
Main Results:
- 28.9% of students reported an intention to leave.
- Higher PI, being in the 4th year, and choosing nursing as a first-choice program were associated with lower ITL.
- Professional Self-Image and Benefit of Retention/Risk of Turnover subscales were significant independent predictors of ITL.
Conclusions:
- Professional identity is a significant factor associated with intention to leave among nursing students.
- Further longitudinal and intervention studies are recommended to explore causal pathways and develop strategies for enhancing PI.
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