A Survey of Anxiety and Assertiveness in Student Nurses and Undergraduates

1982 ◽  
pp. 190-218
Author(s):  
William Jeyam Alagaratnam
Keyword(s):  
Student Nurses

Clinical Skills in Children's Nursing

2010 ◽  
Keyword(s):  
Nursing Students ◽  
Clinical Skills ◽  
Quality Care ◽  
Student Nurses ◽  
Thinking Skills ◽  
Evidence Base ◽  
Critical Thinking Skills ◽  
Family Needs ◽  
Online Resource ◽  
Key Terms

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

scholarly journals Performance in grade 12 mathematics and science predicts student nurses’ performance in first year science modules at a university in the Western Cape

Curationis ◽  
2017 ◽  
Vol 40 (1) ◽  
Author(s):  
Katlego D.T. Mthimunye ◽  
Felicity M. Daniels
Keyword(s):  
South Africa ◽  
Academic Performance ◽  
Predictive Validity ◽  
Life Science ◽  
Student Nurses ◽  
First Year ◽  
Western Cape ◽  
Cross Sectional ◽  
Mathematics And Science ◽  
First Year Student

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.

Assessing Undergraduate Student Nurses’ Performance in Various Public Health Roles Using Simulation

2021 ◽  
Vol 38 (3) ◽  
pp. 139-150
Author(s):  
Evan McEwing ◽  
Regine Placide-Reaves ◽  
Yui Matsuda ◽  
Susan Prather ◽  
Ruth Everett-Thomas
Keyword(s):  
Public Health ◽  
Undergraduate Student ◽  
Student Nurses

What Student Nurses Are Doing

1945 ◽  
Vol 45 (9) ◽  
pp. 750
Keyword(s):  
Student Nurses

Student nurses’ unethical behavior, social media, and year of birth

2016 ◽  
Vol 23 (8) ◽  
pp. 910-918 ◽  
Author(s):  
Gloria Copeland Smith ◽  
Troy Keith Knudson
Keyword(s):  
Social Media ◽  
Nursing Students ◽  
Unethical Behavior ◽  
Ethics Education ◽  
Student Nurses ◽  
Clinical Cohort ◽  
Follow Up Study ◽  
Significant Difference ◽  
Use Of Social Media

Background: This study is the result of findings from a previous dissertation conducted by this author on Student Nurses’ Unethical Behavior, Boundaries, and Social Media. The use of social media can be detrimental to the nurse–patient relationship if used in an unethical manner. Method: A mixed method, using a quantitative approach based on research questions that explored differences in student nurses’ unethical behavior by age (millennial vs nonmillennial) and clinical cohort, the relationship of unethical behavior to the utilization of social media, and analysis on year of birth and unethical behavior. A qualitative approach was used based on a guided faculty interview and common themes of student nurses’ unethical behavior. Participants and Research Context: In total, 55 Associate Degree nursing students participated in the study; the research was conducted at Central Texas College. There were eight faculty-guided interviews. Ethical considerations: The main research instrument was an anonymous survey. All participants were assured of their right to an informed consent. All participants were informed of the right to withdraw from the study at any time. Findings: Findings indicate a significant correlation between student nurses’ unethical behavior and use of social media (p = 0.036) and a significant difference between student unethical conduct by generation (millennials vs nonmillennials (p = 0.033)) and by clinical cohort (p = 0.045). Further findings from the follow-up study on year of birth and student unethical behavior reveal a correlation coefficient of 0.384 with a significance level of 0.003. Discussion: Surprisingly, the study found that second-semester students had less unethical behavior than first-, third-, and fourth-semester students. The follow-up study found that this is because second-semester students were the oldest cohort. Conclusion: Implications for positive social change for nursing students include improved ethics education that may motivate ethical conduct throughout students’ careers nationally and globally for better understanding and promotion of ethics and behavior.

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