Department of Urology, the First Affiliated Hospital of Kunming Medical University, Kunming 650000, China
| Abstract: | Objective: Clinical nursing students are the reserve army of nursing industry in the future. Under the situation of COVID-19 epidemic normalization, they have good disaster nursing core competence, which will help clinical nursing students to transform from theory to practice, nursing students to nurses, and adapt to clinical work. Therefore, this study aims to investigate the status and influencing factors of disaster nursing core competence in the prevention and treatment of COVID-19 among clinical nursing students. Methods: 249 clinical nursing students were investigated by disaster nursing core competence scale and disaster nursing cognition questionnaire. Results: The score of disaster nursing core competence among clinical nursing students was 2.70±0.61. The highest score of dimension was disaster care basic knowledge (2.77±0.63), and the lowest score of dimension was disaster nursing professional development (2.47±0.81). The results of multiple linear regression analysis showed that participating in the study or training of disaster nursing was the main influencing factor of clinical nursing students’ disaster nursing competence, and the cognition degree of disaster nursing in clinical nursing students was very low. Conclusion: The level and cognition of disaster nursing core competence of clinical nursing students were low, especially on disaster nursing professional development. Whether or not participating in the study or training related to disaster nursing core competence affects the level of disaster nursing core competence of clinical nursing students. Therefore, it is suggested that relevant departments and managers formulate systematic disaster nursing education and training programs to promote the improvement of clinical nursing students' core competence in disaster nursing. |
| Keywords: | Clinical Nursing Students; COVID-19; Disaster Care; Core Competence; Cognition; Influencing Factors |
| DOI: | 10.57237/j.jeit.2022.01.008 |
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