Introduction: The widespread devastation caused by the ongoing waves of COVID-19 imposed a significant burden on the healthcare labor force. At the frontline in the battle against the deadly COVID-19 virus, nursing students in Vietnam were at a much-increased risk of developing mental health conditions. This study aims to identify the prevalence of depression and its related factors, along with coping strategies used by nursing students in the COVID-19 pandemic in Vietnam.
Materials And Methods: The study was cross-sectional in nature, with convenient sampling at the epicenters of COVID-19 outbreaks in Vietnam ( = 191) from April to November 2021. After conducting a questionnaire pilot, the data was collected strictly using an internet-based approach. The Depression, Anxiety, and Stress Scale-21 items were used to identify the risk of depression among nursing students. The Chi-square test was used to assess the differences between coping strategies among nursing students. A multivariate logistic regression model was used to identify risk factors associated with depression.
Findings: The percentage of nursing students affected by depression was 21.5%, and almost half of the nursing students (49.2%) had no coping strategies for dealing with mental health concerns. Among the remaining nursing students, video-based mental consultation was the most popular method (25.7%). Being females (AOR: 2.7, 95% CI: 1.1-6.7), collecting bio-samples (AOR: 2.9, 95% CI: 1.4-6.2), providing support to vaccination spots (AOR: 2.3, 95% CI: 1.1-5.1), and not vaccinating against COVID-19 (AOR: 3.1, 95% CI: 1.1-9.1) were found as risk factors for depression among nursing students.
Conclusion: Our research revealed a significant number of nursing students suffering from depressive symptoms and underscoring the need for more effective methods of dealing with this condition. Depression management and coping skills focusing on female populations and those whose direct contacts with infectious sources should be implemented in the nursing curricula and continuous training credits. Those trainings, would support future nurses in handling crisis situations better.
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http://dx.doi.org/10.3389/fpubh.2022.1020419 | DOI Listing |
Public Health Nurs
January 2025
Faculty of Health Sciences, Department of Nursing, Eastern Mediterranean University, Famagusta, North Cyprus, Turkey.
Objectives: The aim of this study was to determine the effects of a training program based on educational brochures and audio recordings of testicular cancer (TC) stories on testicular self-examination (TSE) and health beliefs among university students.
Design: The study had a pretest-posttest, control group experimental design.
Sample: This study was conducted with 106 students in Turkey.
Comput Inform Nurs
November 2024
Author Affiliations: University of Minnesota School of Nursing, Minneapolis (Drs Bliss, Timko Olson, Flaten, Bradley, and Hayden and Mss Gurvich, Conway, and Weinberger); and MHealth Fairview, Maplewood (Dr Sund), MN; Tucson Medical Center, AZ (Ms Garcia); Realityworks, Inc, Eau Claire, WI (Mr Mullen); and Innovative Design Labs, Inc, Minneapolis, MN (Mr Condon and Mr Becker).
Physical assessment of obese patients is an essential clinical skill for identifying the numerous health problems of obese patients and monitoring treatment effectiveness. Use of simulation mannequins facilitates teaching and learning of physical assessment. Available bariatric simulation mannequins have poor functional design, unrealistic appearance, and limited assessment functions.
View Article and Find Full Text PDFComput Inform Nurs
November 2024
Author Affiliation: Loewenberg College of Nursing, The University of Memphis, TN.
The use of technology in healthcare and healthcare education settings has increased rapidly across the United States and accelerated due to the COVID-19 pandemic. However, perceptions of new technologies in clinical nursing and nursing education are not well understood. Yet, understanding perceptions of registered nurses and nursing students toward advanced technology and artificial intelligence in clinical care and education is crucial if we are to implement these care delivery and educational innovations.
View Article and Find Full Text PDFComput Inform Nurs
November 2024
Author Affiliations: School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (Ms Yuan, Ms Fu, Ms Chen, Ms Zeng, Ms Liu, and Ms Hu); Phase I Clinical Research Center, Affiliated Cancer Hospital of Zhengzhou University (Ms Yang); and Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (Ms Liu), China.
This study aims to investigate healthcare students' intention to use virtual reality simulations. By using the Technology Acceptance Model, the research delves into the factors influencing students' acceptance and adoption of virtual reality simulations. Following a cross-sectional design, this article adheres to the STROBE Statement guidelines.
View Article and Find Full Text PDFNurse Educ
January 2025
Author Affiliations: Marquette University College of Nursing, Milwaukee, Wisconsin (Drs Schindler, Kuester, Pfister, and McDermott); and Medical College of WI/Children's WI, Milwaukee, Wisconsin (Drs Schindler, Kuester, Pfister, and McDermott).
Background: Many nurses work largely as policy implementers rather than policy developers. The literature posits several multifaceted reasons for this lack of policy acumen including interprofessional power dynamics, marginalization of nurses in policy making, and lack of formal training in public policy advocacy.
Purpose: To evaluate the impact of a targeted teaching strategy on increasing political astuteness, perceived skill, and comfort in health policy advocacy among a cohort of acute care pediatric nurse practitioner students.
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