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1.
SAGE Open Nurs ; 10: 23779608241242246, 2024.
Article in English | MEDLINE | ID: mdl-38577163

ABSTRACT

Introduction: Despite nurses representing the largest healthcare professional group, the number is not enough for global health coverage. Understanding Generation Z students' intrinsic and extrinsic motivations, internal and external influences, and beliefs in choosing nursing education is crucial. This knowledge empowers universities to enhance nursing program enrollment through targeted promotion and recruitment strategies. Objective: The aim was to understand why Italian students of Generation Z choose the Nursing Degree Course. Methods: In this pilot study, a cross-sectional design was used. A survey with closed and open answers analyzing demographics, opinions, and motivations among new enrolled nursing students was administered on the first day of the Bachelor of Nursing Degree course. Descriptive statistics were used. Quantitative data were analyzed with Chi-square and ANOVA tests and qualitative data underwent content analysis and coding. Correlation analysis explored relationships between qualitative and quantitative results. Results: Forty first-year students (85% female, average age 22) completed the questionnaire. The choice of the degree pathway, as the first or second option, is influenced by intrinsic and extrinsic motivations, the student's opinions, and family and social influences. Significant positive and negative associations were evidenced. Negative factors affecting choice included location and the responsibility for nursing care, while positive factors included role models, family advice, passion, curiosity for healthcare, the desire to help others, and family influences on decision-making. Conclusions: Among Italian generation Z students, the choice of the nursing degree pathway is influenced by social models, family advice, passion, the desire to help others, and curiosity. Universities should be more proactive in their recruitment and promotion efforts, transforming these events into vibrant meeting points for professionals from diverse nursing specialties. They should also implement robust information policies that highlight career possibilities spanning clinical practice, management, education, and research areas within the field.

2.
Healthcare (Basel) ; 11(7)2023 Apr 05.
Article in English | MEDLINE | ID: mdl-37046970

ABSTRACT

BACKGROUND: Nursing education consists of theory and practice, and student nurses' perception of the learning environment, both educational and clinical, is one of the elements that determines the success or failure of their university study path. This study aimed to identify the currently available tools for measuring the clinical and educational learning environments of student nurses and to evaluate their measurement properties in order to provide solid evidence for researchers, educators, and clinical tutors to use in the selection of tools. METHODS: We conducted a systematic review to evaluate the psychometric properties of self-reported learning environment tools in accordance with the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) Guidelines of 2018. The research was conducted on the following databases: PubMed, CINAHL, APA PsycInfo, and ERIC. RESULTS: In the literature, 14 instruments were found that evaluate both the traditional and simulated clinical learning environments and the educational learning environments of student nurses. These tools can be ideally divided into first-generation tools developed from different learning theories and second-generation tools developed by mixing, reviewing, and integrating different already-validated tools. CONCLUSION: Not all the relevant psychometric properties of the instruments were evaluated, and the methodological approaches used were often doubtful or inadequate, thus threatening the instruments' external validity. Further research is needed to complete the validation processes undertaken for both new and already developed instruments, using higher-quality methods and evaluating all psychometric properties.

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