Perioperative Nursing Simulation and its Influence on Student Nurses’ Career Interest

2021 ◽  
Vol 36 (4) ◽  
pp. e17-e18
Author(s):  
Team Leader: Jennifer Jessen ◽  
Team Members: Christine Smith ◽  
Kristy Iwansky ◽  
Nicola Moreland ◽  
LeaAnn Palmer
2011 ◽  
Author(s):  
Cassie A. Eno ◽  
Joan M. Barth ◽  
Rosanna E. Guadagno ◽  
Lindsay Rice

Children's Nurses require excellent clinical skills to provide high quality care to children and young people across a range of different ages. After the first year of their training, children's nursing students must master skills of increasing complexity whilst developing clinical judgement and confidence. Therefore, it is vital that links are made to children's biology and development, family needs, legal issues and problem solving but until now, it has been hard to find all this in one place. Clinical Skills for Children's Nursing is designed for children's and general nursing students in second year onwards to facilitate the transition from closely supervised beginners, to qualified professionals. By clearly explaining essential principles, evidence and special considerations, this text helps students to build up their confidence, not just in performing skills, but also in decision-making in readiness for registration and beyond. Step-by-step guides to performing core and advanced procedures are presented in tables for easy comprehension and revision, illustrated by photographs and drawings. Each skill draws on the available evidence base, which is updated regularly on the accompanying Online Resource Centre. Uniquely, this text develops students' critical thinking skills and ability to deliver child centred care by providing clear links to anatomical, physiological and child development milestones as well as regular nursing alerts which help prevent readers from making common mistakes. Clearly reflecting the Nursing and Midwifery Council's Essential Skills Clusters for registration and beyond, Clinical Skills for Children's Nursing is designed to support student nurses develop into competent practitioners. Supported by a dedicated Online Resource Centre with up-to-date evidence, realistic scenarios, and a wealth of other tools. On the Online Resource Centre: For registered lecturers and mentors: - Figures from the book, ready to download and use in teaching material For students: - Evidence, guidelines and protocols, reviewed and updated every 6 months - Over 40 interactive scenarios - Active web links provide a gateway to the articles cited in the book - Flashcard glossary to help learn key terms


Curationis ◽  
2017 ◽  
Vol 40 (1) ◽  
Author(s):  
Katlego D.T. Mthimunye ◽  
Felicity M. Daniels

Background: The demand for highly qualified and skilled nurses is increasing in South Africa as well as around the world. Having a background in science can create a significant advantage for students wishing to enrol for an undergraduate nursing qualification because nursing as profession is grounded in scientific evidence.Aim: The aim of this study was to investigate the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules.Method: A quantitative research method using a cross-sectional predictive design was employed in this study. The participants included first year Bachelor of Nursing students enrolled at a university in the Western Cape, South Africa. Descriptive and inferential statistics were performed to analyse the data by using the IBM Statistical Package for Social Sciences versions 24. Descriptive analysis of all variables was performed as well as the Spearman’s rank correlation test to describe the relationship among the study variables. Standard multiple linear regressions analysis was performed to determine the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules.Results: The results of this study showed that grade 12 physical science is not a significant predictor (p > 0.062) of performance in first year science modules. The multiple linear regression revealed that grade 12 mathematics and life science grades explained 37.1% to 38.1% (R2 = 0.381 and adj R2 = 0.371) of the variation in the first year science grade distributions.Conclusion: Based on the results of the study it is evident that performance in grade 12 mathematics (β = 2.997) and life science (β = 3.175) subjects is a significant predictor (p < 0.001) of the performance in first year science modules for student nurses at the university identified for this study.


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