You have full access to this open access article
79 Accesses
Explore all metrics
This study aimed to characterize the patterns of psychological stress among nursing students during the COVID-19 pandemic, and evaluate for profile differences in demographic characteristics, coping styles and professional identity.
A cross-sectional study was conducted among nursing students with convenient sampling from four colleges in China from April to June 2022. A total of 1978 nursing students completed an online questionnaire of psychological stress, coping styles and professional identity. Latent profile analysis (LPA) was performed to identify subgroups of nursing students with distinct stress profiles.
Four distinct profiles were identified: high employment stress (HES, 18.0% of the sample), low stress (LS, 40.2%), moderate stress (MS, 20.4%), and high stress (HS, 21.4%). HES nursing students were more likely to be fourth-year students and had chosen nursing program primarily for easy employment, while HS students were more likely to have transferred to nursing program. LS students scored highest in problem-solving coping, while HS students scored highest in negative coping (i.e., expectancy, avoidance). LS students had highest level of professional identity compared to the other three subgroups. No gender differed among the four classes ( P > 0.05).
Psychological stress among nursing students is at an overall moderate to high level and shows heterogeneity during the COVID-19 pandemic. Early identification of stress characteristics of high-risk groups and development of targeted interventions to manage stress and coping are recommended to promote nursing students’ professional adaptability and identity.
Stressors and coping styles of nursing students in the middle period of clinical practicum: a qualitative study.
Avoid common mistakes on your manuscript.
The COVID-19 pandemic has had a significant impact on people’s physical and mental health, leading to widespread disruptions in daily life and the implementation of government restrictions worldwide (Kuriala, 2021 ; Violant-Holz et al., 2020 ; Ganesan et al., 2021 ). These actions, which include lockdowns and social isolation, have raised stress and anxiety levels and negatively impacted people’s mental health (Buheji et al., 2020 ; Hawryluck et al., 2004 ; Doğan et al., 2020 ). Research indicates that a notable proportion of youth, outside the US, are experiencing mental health problems as a result of the uncertainty brought on by the global pandemic (Bavel et al., 2020 ; Huang, 2020 ). Among the most often reported problems are psychiatric illness, stress, and fear of virus transmission (Krishnamoorthy et al., 2020 ; Rajkumar, 2020 ). Additionally, research indicates that health professional students are particularly susceptible to psychological distress and acute stress disorder linked to the COVID-19 pandemic, with prevalence rates as high as 37.73% (Li, 2021 ).
Nursing is widely recognized as a challenging profession, and nursing education can be stressful for students (Papazisis et al., 2014 ). Existing evidence shows that academic and clinical stressors are the two main sources of stress for nursing students, with the latter being felt more intensely by students across the board in nursing education (Pulido-Martos et al., 2012 ). While all university students experience academic stress, the unique aspect of nursing education lies in the practice-based component of the program, where the combination of academic and clinical courses provides the major stress for students (Bartlett, 2016 ). Thus, it is often known that stress levels among nursing students are higher than those of students in other health-related disciplines (Ching et al., 2020 ; McGrath, 2003 ).
Stress is thought to be beneficial in small doses since it boosts excitement and motivation (Gibbons & Gibbons, 2010 ). On the other hand, persistent, unmanageable stress or the inability to manage ongoing stress can be harmful to one’s health and well-being (Watson et al., 2008 ). Prolonged stress can impair nursing students’ ability to study, make decisions, think critically, and succeed academically in the end (Sheu, 2002 ). They might even think about quitting the nursing program as a result of stress (Watson et al., 2008 ). Their professional identity and health may suffer from extended exposure to unmanageable stress (Edwards, 2010 ; Altiok & Ustun, 2013 ). Studies have found that stressful life experience are linked to anxiety and depression in nursing students, but stress itself is positively correlated with depressed mood (Ross et al., 2005 ; Støen Grotmol et al., 2013 ). The continuation of the COVID-19 pandemic and the involvement of healthcare professionals on the frontlines could potentially have adverse effects on nursing students.
Professional identity in nursing refers to an individual’s positive attitude toward the nursing profession with the intention of fully practicing the nursing skills and sense of responsibility acquired from professional training (Zhang, 2021 ). In the fight against the COVID-19 pandemic, nursing staff have shown their professional strengths and values, which has considerably boosted nursing students’ sense of professional pride. Reports have indicated that the COVID-19 pandemic has increased professional identity among Chinese nurses (Li et al., 2021 ), and similar results have been observed among Chinese nursing students (Nie, 2021 ). However, on the other side, nursing students have had to reevaluate the hazards connected with their future employment, which may have an impact on their career choices, in light of public accounts of healthcare workers contracting infections or even losing their lives.
Coping mechanisms are necessary for managing stress and preventing its adverse consequences (Labrague, 2017 ). Coping styles can be categorized into positive and negative coping, where individuals adjust their cognitive and behavioral patterns to alleviate negative emotions under stress (Compas, 2001 ). When under stress, people who employ positive coping strategies may develop a positive mindset and seek out support in order to manage their negative feelings (Lazarus & Folkman, 1984 ). The COVID-19 pandemic is a stressor that has altered human physiology, brain, mind, and behaviour in multiple ways (Al-Hindawi et al., 2022 ). However, various nursing students have varied ways of seeing and responding to stressors, as well as different ways of coping with them. Therefore, it is crucial to investigate the stress levels and coping styles of nursing students during public health emergencies and to implement prompt and efficient interventions to enhance their mental health and promote their professional identity.
Although stress experienced by nursing students has been adequately documented, what is less known is whether there is heterogeneity of stress among nursing students, as well as variability in coping styles and professional identity. Most nursing research has adopted a variable-centered strategy, which focuses on examining the links between each aspect of stress and other variables. While this method offers insightful data regarding the specific and direct relationships between each aspect of stress and other variables, it fails to consider the possibility that (a) different stress profiles exist within the population and (b) these profiles could be associated with variations in other variables (coping, professional identity, etc.). This viewpoint is in line with the person-centered approach to conceptualizing stress, which acknowledges the possibility of different stress profiles. Most research focuses on the individual effects of stressors (Labrague et al., 2018 ; Bhurtun, 2019 ), but little consideration is given to the interactions among various stressors. To better assess inter-individual variability and explain the multidimensional nature of stress, a person-centered approach is required. Latent profile analysis (LPA) is a person-centered approach that identifies latent subgroups by examining how individuals naturally cluster together (Lanza et al., 2013 ). One major strength of this approach is that it can be used to “identify shared symptom patterns” in a sample (Au et al., 2013 ). This understanding can then be leveraged to identify the groups to which each nursing student belongs, guiding appropriate interventions tailored to the unique needs of each group, rather than just targeting the outcome variable.
To the best of our knowledge, this is the first study looking into nursing students’ stress profiles during the COVID-19 pandemic using latent profile analysis (LPA). The aim of this study is to identify subgroups of nursing students with different stress profiles during the COVID-19 pandemic using a person-centered LPA, and assess the differences in demographic characteristics, coping styles, and professional identity among these subgroups, providing a basis for early intervention and further development of individualized educational strategies. We hypothesized that:
(H1). There may be heterogeneity of psychological stress among nursing students during the COVID-19 pandemic, which can be identified using latent profile analysis (LPA).
(H2). Stress profiles based on LPA may demonstrate differences in coping styles and professional identity among nursing students.
Data and study design.
A cross-sectional study with latent profile analysis was conducted among nursing students in China from April to June 2022. Ethics approval was granted by the Institutional Review Board of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine.
This was an online survey. We sent the questionnaire QR code to the nursing students in four colleges in Shanghai and Jiangsu, China. The students scanned the QR code and completed the questionnaire on the online survey platform. Participation was completely voluntary and no financial incentives were offered. Data were collected through the online platform, and all participants completed the questionnaire online providing informed consent on the survey platform. The questionnaire was administered in simplified Chinese. A total of 1978 valid questionnaires were obtained. We performed an analysis using G*Power 3.1 to calculate the sample size required for this study. The results showed that 107 was the minimum sample size needed to achieve sufficient power (95%) in detecting a medium effect size (f2 = 0.15). Thus, the number of participants ( n = 1978) in this study was an adequate sample size.
The demographic characteristics of the survey included gender, grade, and reasons for choosing nursing program.
The Psychological Stress Questionnaire for College Students (PSQCS) was used to assess the sources and levels of psychological stress among nursing students (Cui, 2009 ). It consists of 36 items assessing stress in five domains: emergency stress, financial stress, employment stress, academic stress, and social and interpersonal stress. It is a self-reported measure rated by a 5-point Likert scale (0 no stress, 1 mild stress, 2 moderate stress, 3 high stress, and 4 very severe stress). The average score of each domain is the total score of the stress values of the questions in the domain divided by the number of related questions. Higher scores indicate greater psychological stress. The questionnaire has been widely used in China and has demonstrated good validity and reliability (Zhao et al., 2021 ; Li et al., 2021 ). The Cronbach’s alpha coefficient for the questionnaire was 0.926, indicating good internal consistency and high construct validity.
The Coping with Psychological Stress for College Students (CPSCS) was used to measure the coping strategies employed by nursing students in response to psychological stress (Cui, 2009 ). The scale has been widely used and has demonstrated good validity and reliability (Zhao et al., 2021 ; Li et al., 2021 ). It consists of 22 items assessing four coping strategies: problem solving, support seeking, expectancy, and avoidance. It is a self-reported measure, rated on a 5-point Likert scale (1 = “non-conformity” to 5 = “fully conforming”). The average score of each strategy is the total score of each item of the factor divided by the number of related items. If an average score is higher than 3, it indicates a strong tendency to respond to this strategy. Conversely, an average score lower than 3 indicates a weaker tendency to respond to this strategy. The Cronbach’s alpha coefficient for the scale was 0.811, with good internal consistency and high construct validity.
The Professional Identity Questionnaire for Nursing Students (PIQNS) was used to assess the professional identity among nursing students (Hao, 2011 ). The questionnaire has been widely used in China and has been proven to have good reliability and validity (Zhang, 2021 ; Gao et al., 2021 ). It consists of 17 items, rated on a 5-point Likert scale (1 = “not true at all” to 5 = “true nearly all the time”). The total score ranges from 17 to 85. Higher scores indicate better professional identity. The Cronbach’s α coefficient for the PIQNS in this study was 0.947.
SPSS 25.0 and Mplus 8.2 were used in the analyses. Latent profile analysis was utilized to identify potential stress profiles of nursing students. The one- to six-class groups were applied and compared based on a set of fit statistics. A good model fit was indicated by (1) lower comparative values of the Akaike information criteria (AIC), the Bayesian information (BIC), and the adjusted BIC (ABIC) values, as well as higher values of entropy with numbers closer to 1; (2) a significant Lo-Mendell-Rubin likelihood ratio test (LMRT) and bootstrap likelihood ratio test (BLRT) (Jung & Wickrama, 2008 ; Berlin et al., 2014 ). After determining the best-fitting profile model, chi-square tests and ANOVA were used to conduct inter group comparison. Multiple logistic regression model was used to explore the differences in demographic characteristics, coping styles, and professional identity among nursing students with different profiles of psychological stress. P < 0.05 was considered statistically significant.
A total of 1978 nursing students were selected for this study. In the latent profile analysis, the average scores of each dimension of PSQCS were used as the exogenous variables to develop the model. Starting with a model with one potential class, the number of potential classes was gradually increased, and the fitness of each model was evaluated one by one to determine the best-fit latent class model. The fit indices of the six LPA models were presented in Table 1 . The values for AIC, BIC, and A-BIC showed the biggest reduction from the three-profile model to the four-profile model, starting with the two-profile. The six-profile model’s p-values for LMRT and BLRT were not significant ( p > 0.05), indicating that the fitting effect of the six-profile model was not as good as that of the five-profile model. Although the fitting effect of the five-profile model was better than that of the four-profile model ( p < 0.05), there was one category in its classification that only accounted for 2% (< 5%) and did not have classification significance. Additionally, the four-profile model’s entropy test value was higher than that of either the five-profile or three-profile model. Therefore, the four-profile model was considered to be the optimal solution.
The average scores for each dimension of PSQCS for the four subgroups of nursing students were presented in Table 2 , and the results were also displayed in Fig. 1 . Among all five stressors, nursing students in subgroup-1 had the highest average scores on employment stress. Therefore, subgroup-1 was named High Employment Stress (HES). There were 356 nursing students in this subgroup, representing 18.0% of the total sample. Subgroup-2 had lower mean scores on each dimension compared to the other three subgroups. Thus, we named subgroup-2 as Low Stress (LS). It was the largest subgroup, with 796 students, accounting for 40.2% of the total sample. Subgroup-3 was named Moderate Stress (MS) because it had moderate scores on each dimension compared to the other three subgroups. Subgroup-3 consisted of 403 students, or 20.4% of the total. Subgroup-4 was named High Stress (HS) as the mean scores on each dimension were higher than any other subgroup. In total 423 students were in subgroup-4, accounting for 21.4%.
Four-profile solution of the latent profile analysis
Univariate analysis revealed significant differences ( P < 0.01) among the four profiles of psychological stress in terms of grade, reasons for choosing nursing program, coping styles, and professional identity. As shown in Table 3 , HES nursing students were more likely to be fourth-year students and were more likely to have chosen nursing program primarily for easy employment compared to the other three subgroups. LS students were more likely to have enrolled in nursing primarily out of interest, while HS students were more likely to have transferred into the program. LS students scored highest on problem solving, while HS students scored highest on support seeking, expectancy, and avoidance. LS students also scored highest on PIQNS compared to the other three subgroups. Moreover, there were no gender differences among the four classes ( P > 0.05).
Multiple logistic regression analysis was conducted, using “Low Stress” as the reference group, to compare the characteristics of different stress profiles. As shown in Table 4 , the results showed that HES nursing students were more likely to be fourth grade students (OR = 1.832, P = 0.001), and were positively correlated with expectancy (OR = 1.497, P < 0.001), avoidance (OR = 1.556, P = 0.001), while negatively correlated with problem-solving (OR = 0.714, P = 0.001), and professional identity (OR = 0.494, P < 0.001). Moderate stress nursing students were less likely to be fourth grade students (OR = 0.630, P = 0.018), and had a positive correlation with support seeking (OR = 1.686, P < 0.001), avoidance (OR = 1.494, P = 0.001), and a negative correlation with problem solving (OR = 0.462, P < 0.001). HS nursing students were positively correlated with support seeking (OR = 1.651, P < 0.001), expectancy (OR = 1.605, P < 0.001), and avoidance (OR = 2.672, P < 0.001), while negatively correlated with problem-solving (OR = 0.358, P < 0.001), and professional identity (OR = 0.577, P < 0.001). There were no significant differences in gender and reasons for choosing nursing program among the four potential stress profiles of nursing students ( P > 0.05).
In this study, four psychological stress characteristics of nursing students were identified based on five psychological stress sources through latent profile analysis: High Employment Stress (18.0%), Low Stress (40.2%), Moderate Stress (20.4%) and High Stress (21.4%). The results indicated that the psychological stressors and stress levels of nursing students were heterogeneous during COVID-19 pandemic. Nursing students from different subgroups exhibited unique stress profiles which implicated different supporting. For example, the HES group seems to need more guidance on job searching and establishing realistic career expectations. The number of nursing students with HS, MS, and HES accounted for 60% of the total sample, indicating that the psychological stress levels of nursing students were generally at moderate to high levels, similar to the findings of Liu et al. (Liu et al., 2020 ). This highlights the importance of identifying the stress characteristics of high-risk individuals early on and developing targeted counseling interventions.
Nursing students often encounter multiple interconnected stressors. The findings of this study revealed that nursing students in MS and HS groups exhibited high stress levels across all five stressors. Similarly, Liao et al. (Liao et al., 2018 ) identified stress profiles among university freshmen based on five stressors (academic, financial, intimacy, peer relationships, and parent-child relationships), where the general subgroup experiencing moderate to high stress showed elevated stress levels across all stressors. These findings suggest that nursing students are susceptible to concurrent or sequential superimposed stress. MS and HS nursing students reported the highest levels of emergency stress, which could be attributed to the impact of the COVID-19 outbreak during the survey period. Public health emergencies are sources of stress that trigger a range of effects in the daily life, work, and behavior of nursing students. Apart from concerns about their own and their families’ risk of infection, these students also worry about the negative impact of the outbreak on their studies, graduation, and future employment, thereby amplifying their psychological stress. Additionally, approximately 18.0% of nursing students reported high levels of employment stress coupled with high levels of financial stress and academic stress. The HES nursing students were mainly fourth-year graduates whose academic and employment-related issues formed the primary stressful events during the graduation phase. Job searching can be financially burdensome, and those nursing students with limited financial support from their families may experience heightened employment stress (Lavoie-Tremblay et al., 2022 ). On the other hand, the LS nursing students, accounting for 40.2% of the total sample, exhibited low stress levels across all five stressors due to effective stress regulation and coping skills. Since nursing students are exposed to numerous stressful life events, nurse educators should pay special attention to the possibility of simultaneous exposure to additional stressors when specific stressors affect individual nursing students, and help them improve their adaptive abilities to cope with stress.
The present study found that LS nursing students demonstrated proficient problem-solving coping skills and scored highest on the problem-solving dimension of the coping styles scale. Proactive coping helped mitigate the stress resulting from life events (Fornés-Vives, 2016 ). In contrast, HS nursing students were more prone to negative coping strategies such as expectancy and avoidance. This can be attributed to the positive association between the number and accumulation of stressful events and the use of negative coping mechanisms (Ferrari, 2020 ). It is worth noting that nurse educators should adopt a balanced perspective on nursing students’ coping strategies. Temporary use of negative coping styles like expectancy and avoidance may provide some relief from overwhelming psychological stress. However, nursing students experiencing high stress levels should be provided with timely and effective psychological counseling, guiding them to seek help and support, enhance their mental resilience, and choose positive coping styles that are appropriate for their situation.
Compared to LS nursing students, HS and HES students exhibited lower levels of professional identity. HES nursing students may lack job search assistance, face a competitive employment environment, and have high expectations for their careers, which may affect their professional recognition. HS nursing students, burdened with higher psychological stress, tend to have weaker professional identity, which is consistent with the findings of Zhong et al. (Zhong et al., 2020 ). Therefore, nursing educators and administrators should guide nursing students in improving their professional qualities, expanding their employment opportunities, establishing correct professional values, making suitable career choices, and leveraging role models as sources of support to enhance their psychological resilience and professional identity (Zhang, 2021 ).
Currently, the existence of gender differences in various stressors is still controversial (Helbig et al., 2017 ; Moksnes et al., 2016 ). The results of this study showed that male students scored significantly higher than female students only on the social and interpersonal stress dimension (1.83 vs. 1.73, F = 7.838, p = 0.005), which is consistent with previous findings (Liao et al., 2018 ). This could be attributed to male students being less inclined to communicate when faced with interpersonal conflicts. No gender differences were found in any other stressors ( P > 0.05). To eliminate possible gender bias in the results, this study conducted separate LPA for male and female nursing students to identify psychological stress profiles. The results yielded the same latent characteristics, indicating that the present study was less influenced by gender differences and the results obtained were reliable.
As far as we are aware, this is the first study to use latent profile analysis to try to identify stress profiles among nursing students during the COVID-19 pandemic. This will help with early intervention and future development of individualized educational strategies. However, there are several limitations to this study. Initially, a convenience sampling technique was employed, which could lead to bias in selection. Furthermore, there is limited generalizability of the study to the overall population of nursing students because it was conducted solely in China. It is necessary to conduct more research using a variety of samples from various locations and civilizations. Another disadvantage of this study that calls for future research is the absence of a reliable instrument to measure the stress among nursing students directly related to the COVID-19 pandemic.
Overall, nursing students suffer moderate to high levels of psychological stress. There is heterogeneity in psychological stress profiles among nursing students, which can be categorized as High Employment Stress, Low Stress, Moderate Stress, and High Stress. To support nursing students’ professional adaptation and identity, it is advised to identify stress profiles early on among high-risk groups (HS and HES) and establish focused counseling interventions to manage stress and improve coping abilities.
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Al-Hindawi, A., Kumar, N., & Gaynor, D. (2022). Exploring changes in levels and patterns of physical activity in undergraduate medical and nursing students during the COVID-19 pandemic. Front Public Health, 10 , 1042071. https://doi.org/10.3389/fpubh.2022.1042071
Article PubMed PubMed Central Google Scholar
Altiok, H. O., & Ustun, B. (2013). The stress sources of nursing students. Edu Sci: Theory Pract , 13 (2), 760–766.
Google Scholar
Au, T. M., Dickstein, B. D., Comer, J. S., Salters-Pedneault, K., & Litz, B. T. (2013). Co-occurring posttraumatic stress and depression symptoms after sexual assault: A latent profile analysis. Journal of Affective Disorders, 149 (1–3), 209–216. https://doi.org/10.1016/j.jad.2013.01.026
Article PubMed Google Scholar
Bartlett, M. L., Taylor, H., & Nelson, J. D. (2016). Comparison of mental health characteristics and stress between baccalaureate nursing students and non-nursing students. The Journal of Nursing Education , 55 (2), 87–90. https://doi.org/10.3928/01484834-20160114-05
Bavel, J. J. V., Baicker, K., Boggio, P. S., et al. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nat Hum Behav, 4 (5), 460–471. https://doi.org/10.1038/s41562-020-0884-z
Berlin, K. S., Williams, N. A., & Parra, G. R. (2014). An introduction to latent variable mixture modeling (part 1): Overview and cross-sectional latent class and latent profile analyses. Journal of Pediatric Psychology, 39 (2), 174–187. https://doi.org/10.1093/jpepsy/jst084
Bhurtun, H. D., Azimirad, M., Saaranen, T., & Turunen, H. (2019). Stress and coping among nursing students during clinical training: An integrative review. The Journal of Nursing Education , 58 (5), 266–272. https://doi.org/10.3928/01484834-20190422-04
Buheji, M., Jahrami, H., & Dhahi, A. S. (2020). Minimising stress exposure during pandemics similar to COVID-19. Int J Psychol Behav Sci , 10 (1), 9–16. https://doi.org/10.5923/j.ijpbs.20201001.02
Article Google Scholar
Ching, S. S. Y., Cheung, K., Hegney, D., & Rees, C. S. (2020). Stressors and coping of nursing students in clinical placement: A qualitative study contextualizing their resilience and burnout. Nurse Education in Practice, 42 , 102690. https://doi.org/10.1016/j.nepr.2019.102690
Compas, B. E., & Boyer, M. C. (2001). Coping and attention: implications for child health and pediatric conditions. Journal of Developmental and Behavioral Pediatrics , 22 (5), 323– 33. https://doi.org/10.1097/00004703-200110000-00007
Cui, L. (2009). Research on Psychological Crisis and Intervention Mechanism of College Students Thesis. Southwest University . https://doi.org/10.7666/d.y1459974
Doğan, M., & Bayraktar, M. (2020). COVID-19 with a public health perspective: Measures taken in Turkey and public compliance with the measures. Iran J Public Health, 49 (Suppl 1), 67–75. https://doi.org/10.18502/ijph.v49iS1.3671
Edwards, D., Burnard, P., Bennett, K., & Hebden, U. (2010). A longitudinal study of stress and self-esteem in student nurses. Nurse Education Today , 30 (1), 78–84. https://doi.org/10.1016/j.nedt.2009.06.008
Ferrari, S., Rey, S., Høglund, E., Øverli, Ø., Chatain, B., MacKenzie, S., & Bégout, M. L. (2020). Physiological responses during acute stress recovery depend on stress coping style in European sea bass, Dicentrarchus labrax. Physiology & Behavior , 216 , 112801. https://doi.org/10.1016/j.physbeh.2020.112801
Fornés-Vives, J., Garcia-Banda, G., Frias-Navarro, D., & Rosales-Viladrich, G. (2016). Coping, stress, and personality in Spanish nursing students: A longitudinal study. Nurse Educ Today.;36:318– 23. https://doi.org/10.1016/j.nedt.2015.08.011
Ganesan, B., Al-Jumaily, A., Fong, K. N. K., Prasad, P., Meena, S. K., & Tong, R. K. (2021). Impact of Coronavirus Disease 2019 (COVID-19) outbreak quarantine, isolation, and lockdown policies on mental health and suicide. Frontiers in Psychiatry, 12 , 565190. https://doi.org/10.3389/fpsyt.2021.565190
Gao, L., Wang, X., Han, Y., Guo, C., & Lin, N. (2021). Correlation between professional identity and social capital among undergraduate nursing students. Chinese Nursing Research , 35 (3), 417–421. https://doi.org/10.12102/j.issn.1009-6493.2021.03.009
Gibbons, C. (2010). Stress, coping and burn-out in nursing students. International Journal of Nursing Studies, 47 (10), 1299–1309. https://doi.org/10.1016/j.ijnurstu.2010.02.015
Hao, Y. (2011). Study the model of self-education in enhancing the level of professional identity and professional self-efficacy in nursing students. Naval Medical University . https://doi.org/10.7666/d.d151617
Hawryluck, L., Gold, W. L., Robinson, S., Pogorski, S., Galea, S., & Styra, R. (2004). SARS control and psychological effects of quarantine, Toronto, Canada. Emerging Infectious Diseases, 10 (7), 1206–1212. https://doi.org/10.3201/eid1007.030703
Helbig, S., & Backhaus, J. (2017). Sex differences in a real academic stressor, cognitive appraisal and the cortisol response. Physiology & Behavior, 179 , 67–74. https://doi.org/10.1016/j.physbeh.2017.05.027
Huang, Y., & Zhao, N. (2020). Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey. Psychiatry Research , 288 , 112954. https://doi.org/10.1016/j.psychres.2020.112954 . Erratum in: Psychiatry Res. 2021;299:113803.
Jung, T., & Wickrama, K. A. (2008). An introduction to latent class growth analysis and growth mixture modeling. Soc Personal Psychol Compass , 2 (1), 302–317. https://doi.org/10.1111/j.1751-9004.2007.00054.x
Krishnamoorthy, Y., Nagarajan, R., Saya, G. K., & Menon, V. (2020). Prevalence of psychological morbidities among general population, healthcare workers and COVID-19 patients amidst the COVID-19 pandemic: A systematic review and meta-analysis. Psychiatry Research, 293 , 113382. https://doi.org/10.1016/j.psychres.2020.113382
Kuriala, G. K. (2021). Covid-19 and its impact on global mental health. Sens Int, 2 , 100108. https://doi.org/10.1016/j.sintl.2021.100108
Labrague, L. J., McEnroe-Petitte, D. M., Gloe, D., Thomas, L., Papathanasiou, I. V., & Tsaras, K. (2017). A literature review on stress and coping strategies in nursing students. Journal of Mental Health (Abingdon, England) , 26 (5), 471–480. https://doi.org/10.1080/09638237.2016.1244721
Labrague, L. J., McEnroe-Petitte, D. M., Papathanasiou, I. V., Edet, O. B., Tsaras, K., Leocadio, M. C., Colet, P., Kleisiaris, C. F., Fradelos, E. C., Rosales, R. A., Vera Santos-Lucas, K., & Velacaria, P. I. T. (2018). Stress and coping strategies among nursing students: An international study. Journal of Mental Health (Abingdon, England), 27 (5), 402–408. https://doi.org/10.1080/09638237.2017.1417552
Lanza, S. T., & Rhoades, B. L. (2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14 (2), 157–168. https://doi.org/10.1007/s11121-011-0201-1
Lavoie-Tremblay, M., Sanzone, L., Aubé, T., & Paquet, M. (2022). Sources of stress and coping strategies among undergraduate nursing students across all years. The Canadian Journal of Nursing Research, 54 (3), 261–271. https://doi.org/10.1177/08445621211028076
Lazarus, R. S., & Folkman, S. (1984). Stress, coping and adaptation . Springer.
Li, Y., Wang, Y., Jiang, J., Valdimarsdóttir, U. A., Fall, K., Fang, F., Song, H., Lu, D., & Zhang, W. (2021). Psychological distress among health professional students during the COVID-19 outbreak. Psychological Medicine , 51 (11), 1952–1954. https://doi.org/10.1017/S0033291720001555 . Erratum in: Psychol Med. 2021;51(11):1960.
Li, J., Zhao, Y., Zhou, Q., Wang, B., Zhao, Y., & Chen, H. (2021). Heterogeneity of psychological stress among nursing undergraduates: A latent Profile Analysis. Journal of Nursing , 28 (21), 12–17. https://doi.org/10.16460/j.issn1008-9969.2021.21.012
Li, Z., Zuo, Q., Cheng, J., Zhou, Y., Li, Y., Zhu, L., & Jiang, X. (2021). Coronavirus disease 2019 pandemic promotes the sense of professional identity among nurses. Nurs Outlook, 69 (3), 389–398. https://doi.org/10.1016/j.outlook.2020.09.006
Liao, P. C., Chen, S. K., & Lin, S. S. J. (2018). Latent profiles of stress and their relationships with depression and problematic internet use among college freshmen. Scandinavian Journal of Psychology, 59 (6), 621–630. https://doi.org/10.1111/sjop.12489
Liu, Z., Zhang, Y., Liu, R., et al. (2020). Perceived stress among medical students: A latent profile analysis. Chinese Journal of Health Statistics , 37 (6), 859–861. https://doi.org/10.3969/j.issn.1002-3674.2020.06.015
McGrath, A., Reid, N., & Boore, J. (2003). Occupational stress in nursing. International Journal of Nursing Studies , 40 (5), 555– 65; discussion 567-9. https://doi.org/10.1016/s0020-7489(03)00058-0
Moksnes, U. K., Eilertsen, B., M.-E., & Lazarewicz, M. (2016). The association between stress, self-esteem and depressive symptoms in adolescents. Scandinavian Journal of Psychology , 57 (1), 22–29. https://doi.org/10.1111/sjop.12269
Nie, S., Sun, C., Wang, L., & Wang, X. (2021). The professional identity of nursing students and their intention to leave the nursing profession during the coronavirus disease (COVID-19) pandemic. The Journal of Nursing Research , 29 (2), e139. https://doi.org/10.1097/jnr.0000000000000424
Papazisis, G., Nicolaou, P., Tsiga, E., Christoforou, T., & Sapountzi-Krepia, D. (2014). Religious and spiritual beliefs, self-esteem, anxiety, and depression among nursing students. Nursing & Health Sciences, 16 (2), 232–238. https://doi.org/10.1111/nhs.12093
Pulido-Martos, M., Augusto-Landa, J. M., & Lopez-Zafra, E. (2012). Sources of stress in nursing students: A systematic review of quantitative studies. International Nursing Review , 59 , 15–25. https://doi.org/10.1111/j.1466-7657.2011.00939.x
Rajkumar, R. P. (2020). COVID-19 and mental health: A review of the existing literature. Asian J Psychiatr, 52 , 102066. https://doi.org/10.1016/j.ajp.2020.102066
Ross, R., Zeller, R., Srisaeng, P., Yimmee, S., Somchid, S., & Sawatphanit, W. (2005). Depression, stress, emotional support, and self-esteem among baccalaureate nursing students in Thailand. International Journal of Nursing Education Scholarship, 2 , Article25. https://doi.org/10.2202/1548-923x.1165
Sheu, S., Lin, H. S., & Hwang, S. L. (2002). Perceived stress and physio-psycho-social status of nursing students during their initial period of clinical practice: the effect of coping behaviors. International Journal of Nursing Studies , 39 (2), 165– 75. https://doi.org/10.1016/s0020-7489(01)00016-5
Støen Grotmol, K., Gude, T., Moum, T., Vaglum, P., & Tyssen, R. (2013). Risk factors at medical school for later severe depression: A 15-year longitudinal, nationwide study (NORDOC). Journal of Affective Disorders, 146 (1), 106–111. https://doi.org/10.1016/j.jad.2012.08.047
Violant-Holz, V., Gallego-Jiménez, M. G., González-González, C. S., Muñoz-Violant, S., Rodríguez, M. J., Sansano-Nadal, O., & Guerra-Balic, M. (2020). Psychological health and physical activity levels during the COVID-19 pandemic: A systematic review. International Journal of Environmental Research and Public Health, 17 (24), 9419. https://doi.org/10.3390/ijerph17249419
Watson, R., Deary, I., Thompson, D., & Li, G. (2008). A study of stress and burnout in nursing students in Hong Kong: A questionnaire survey. International Journal of Nursing Studies, 45 (10), 1534–1542. https://doi.org/10.1016/j.ijnurstu.2007.11.003
Zhang, Z., Fu, W., Tian, C., Zhang, F., Zhao, B., Mao, J., & Saligan, L. N. (2021). Professional identity of Chinese nursing students during the COVID-19 pandemic outbreak: A nation-wide cross-sectional study. Nurse Education in Practice , 52 , 103040. https://doi.org/10.1016/j.nepr.2021.103040
Zhao, Y., Zhou, Q., Li, J., Luan, J., Wang, B., Zhao, Y., Mu, X., & Chen, H. (2021). Influence of psychological stress and coping styles in the professional identity of undergraduate nursing students after the outbreak of COVID-19: A cross-sectional study in China. Nurs Open, 8 (6), 3527–3537. https://doi.org/10.1002/nop2.902
Zhong, W., Jia, J., Shen, S., & Yao, X. (2020). Investigation and analysis on the status of professional identity of intern nurses in tertiary grade a hospital of Beijing. Chinese Evidence-based Nursing , 6 (12), 1387–1393. https://doi.org/10.12102/j.issn.2095-8668.2020.12.023
Download references
The authors would like to thank all the participants who voluntarily participated in this study and research assistants who performed the data collection.
Shanghai Jiao Tong University School of Medicine: Nursing Development Program.
Authors and affiliations.
Department of Nursing, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Qiong Sun, Wen Qian & Ying Ni
Department of Gynecology and Obstetrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Wen Qian & Ying Ni
Qingdao Medical College, Qingdao University, Qingdao, China
School of Nursing, Shanghai Jiguang Polytechnic College, Shanghai, China
Jing Zhu & Chun Yao
School of Clinical Medicine, Shanghai University of Medicine and Health Science, Shanghai, China
Taixing Yangzijiang High School, Taixing, Jiangsu, China
Leifeng Zhang
Department of Ultrasound, Kongjiang Hospital of Yangpu District, Shanghai, China
School of Nursing, Shanghai Jiao Tong University, Shanghai, China
You can also search for this author in PubMed Google Scholar
Qiong Sun : Conceptualization, Writing – Original Draft, Supervision. Wen Qian : Conceptualization, Methodology, Writing – Original Draft, Validation, Formal analysis. Yixuan Yao : Investigation, Data Curation, Writing – Original Draft, Project administration. Jing Zhu : Investigation, Resources, Data Curation. Jinqi Xu : Investigation, Resources, Data Curation. Leifeng Zhang : Investigation, Resources, Data Curation. Chun Yao : Conceptualization, Supervision. Lili Wang : Conceptualization, Investigation, Data Curation, Writing -Review & Editing, Project administration. Ying Ni : Conceptualization, Methodology, Supervision, Writing -Review & Editing, Funding acquisition.
Correspondence to Lili Wang or Ying Ni .
Consent for publication.
Not applicable.
The authors declare that they have no competing interests.
Publisher’s note.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Qiong Sun, Wen Qian and Yixuan Yao equal contributors and share first authorship.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ .
Reprints and permissions
Sun, Q., Qian, W., Yao, Y. et al. Stress, coping and professional identity among nursing students during the COVID-19 pandemic: a latent profile analysis. Curr Psychol (2024). https://doi.org/10.1007/s12144-024-06554-9
Download citation
Accepted : 11 August 2024
Published : 27 August 2024
DOI : https://doi.org/10.1007/s12144-024-06554-9
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
An official website of the United States government
The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.
The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .
Puvaneswari kanagaraj.
1 Department of Nursing, College of Applied Medical Sciences, University of Bisha, Bisha, Kingdom of Saudi Arabia
2 Department of Maternal and Child Health, College of Nursing, Sultan Qaboos University, Al Khoudh, Muscat, Sultanate of Oman
3 Narayana Multi Specialty Hospital, Kolkata, West Bengal, India
* Current address: Durgapur City Hospital and Clinic Pvt. Limited, Durgapur, West Bengal, India.
4 Faculty of Nursing, Zagazig University, Zagazig, Egypt
Supplemental material, sj-docx-1-son-10.1177_23779608241272484 for Nursing Students’ Experiences and Challenges in Their Education During COVID 19 Pandemic: A Mixed-Method Study by Puvaneswari Kanagaraj, Judie Arulappan, Arpita Pradhan and Shimmaa Mansour Moustafa Mohammed in SAGE Open Nursing
Supplemental material, sj-docx-2-son-10.1177_23779608241272484 for Nursing Students’ Experiences and Challenges in Their Education During COVID 19 Pandemic: A Mixed-Method Study by Puvaneswari Kanagaraj, Judie Arulappan, Arpita Pradhan and Shimmaa Mansour Moustafa Mohammed in SAGE Open Nursing
The COVID-19 outbreak disrupted the nursing education across the world. The nursing students faced many challenges in their learning process.
The study explored the experiences and challenges faced by nursing students who had virtual education in India.
The study adopted an exploratory sequential mixed-methods design. The study was conducted as two phases. Phase 1: Qualitative data were collected using direct focus group interview with 18 students. Phase 2: Quantitative data were collected from 477 students using a Likert scale prepared by the investigators of the study on challenges experienced by nursing students on their education. The analysis was done using the descriptive and inferential statistics and thematic analysis.
Phase 1: The analyzed data produced seven themes and 10 sub-themes; (1) technical issues—a concern, (2) regular rhythm in educational training—but not complete, (3) stress and strain, (4) evaluation—a concern, (5) communication, (6) comfort zone, and (7) easy distraction. Phase 2: Majority of the students (54.71%) experienced high-level challenges with the nursing education during pandemic. The overall mean and SD of all the domain-wise challenges were 103.39 + 7.11 with the range from 30 to 150. The mean and SD with educational challenges were (20.27 + 3.04), environmental challenges (6.92 + 1.66), communication challenges (17.61 + 4.01), technical challenges (17.39 + 3.75), evaluation challenges (7.09 + 1.94), physical and mental challenges (20.47 + 4.33), career challenges (7.06 + 1.91), and financial challenges (6.61 + 2.1). The demographic variable gender ( P = 0.045) showed a statistically significant association with the challenges.
Considering the experiences and challenges faced by the nursing students, the nursing administrators shall design educational strategies to mitigate these challenges in nursing education during a pandemic.
Virtual nursing education offers flexibility in teaching and learning, self-paced learning opportunity, lower the costs, career advancement, comfortable learning environment, more opportunities for participation, easier to track documentation and improves skills in technology. Therefore, the challenges in virtual nursing education should be lessened to have successful teaching learning experiences.
The world faced unprecedented challenges during COVID-19 global pandemic ( World Health Organization, 2020 ). The pandemic changed the lives of people at different levels. Additionally, social distancing shaped the social relationship and behavior ( Kaveh et al., 2022 ). COVID-19 significantly strained the healthcare system. In addition, it affected the education in academic institutions and universities to a greater extent ( Dewart et al., 2020 ). As a preventive and control measure, all the schools, colleges, and universities were closed ( Mustafa, 2020 ). In April 2020, 94% of learners worldwide were affected by the pandemic, representing 1.58 billion children and youth in 200 countries ( De Giusti, 2020 ). Likewise, nursing education has undergone many radical changes both in developed and developing countries. The situation affected the learning opportunities of nursing students as their clinical placements were suspended and the face-to-face teaching moved into online teaching. Additionally, the pre-clinical activities such as laboratory and simulation-based teaching were affected due to social and organizational restrictions to limit unnecessary access and contact with others ( Tomietto et al., 2020 ).
To continue the teaching–learning activity, the academic institutions adopted various digital platforms including Zoom, Google meet, WebEx, Udemy, Edmodo, Google classroom, etc. ( Mishra et al., 2020 ). Moreover, web-based conferences were routinely organized by educational institutions during this pandemic ( Kaware, 2022 ). In addition, educational institutions have placed greater emphasis on ERP systems, library modules, fee modules, and examination modules. The virtual learning enhanced the comfort, accessibility, and encouraged remote learning ( Mukhtar et al., 2020 ). Similarly, the learners found it easy to access the online material, were able to record meetings and sessions and retrieve information ( Alsayed & Althaqafi, 2022 ). The faculty and students expressed that online education is useful during the COVID-19 pandemic; it was convenient, flexible, cost low, and encouraged self-learning ( Almahasees et al., 2021 ). Likewise, online education improved the flexibility, ability to teach large classes, increased interaction between the teachers and students and increased learning opportunities for the learners ( Hako, 2021 ). Ultimately, these educational technologies have had significant positive impact on the learning of the students. Additionally, it paves the way toward the blending of technology synchronously or asynchronously into education ( Thaheem et al., 2022 ).
Although online education was beneficial to both the teachers and learners, it posed various challenges to the faculty and students ( Nimavat et al., 2021 ). Poor student attendance, loneliness, issues with internet connectivity and lack of information and technology skills were reported as challenges of online education ( Hako, 2021 ). The faculty and students indicated that efficacy of online teaching and learning is less effective than face–face teaching and learning. Moreover, online learning is ineffective for deaf and hard of hearing students. Likewise, online education is linked to lack of interaction and motivation, data privacy and security and technical issues ( Almahasees & Amin, 2021 ; Alsayed & Althaqafi, 2022 ). Furthermore, online education was inefficient in terms of maintaining academic integrity ( Mukhtar et al., 2020 ). The teachers reported difficulties in motivating the students without visual connection during online teaching ( Moustakas & Robrade, 2022 ). Also, Atout et al., (2022) reported lack of resources for the clinical learning, distracting home environment and challenging evaluation of learners as the barriers for virtual learning.
The challenges faced by the instructors includes transitional difficulties from offline to online teaching, communication barriers, changes in the teaching style and additional time and resources for preparation of teaching. The institutions experienced challenges such as need for additional training for faculty and students, technical and multimedia support, online counselling sessions for teachers and the need to have technical troubleshooting team. Students experienced challenges related to having technical skills to learn online, lack of readiness, network and speed issues, and lack of identity, interaction and participation. There were challenges related to content such as development of new material, regular assignments, multimedia tools, and checking assignments and sharing regular feedback with the students. Technological challenges included device suitability, network stability and speed, tools of conferencing software for online teaching and ease of use. Lastly, the motivational factors included lack of sense of job security, non-availability of salary on time, and lack of family support, mental and emotional support from colleagues and higher authorities ( Siddiquei & Kathpal, 2021 ).
To enhance the online teaching and learning, technical aptitude enhancement, resource management and utilization, time management, control over the learning environment and help seeking are essential ( Barrot et al., 2021 ). Furthermore, formal training for the teachers, and enhancement of psychosocial wellbeing of both the learners and teachers are necessary to curb the feelings of loneliness and isolation. Moreover, the nature of the problems related to the shift from face to face to online learning should be identified to combat these challenges ( Hako, 2021 ). In India, both the undergraduate and postgraduate students were badly affected during the COVID-19 pandemic and experienced many challenges with online education ( Joshi et al., 2020 ; Kamal & Illiyan, 2021 ; Muthuprasad et al., 2021 ; Pandit & Agrawal, 2022 ; Rannaware et al., 2022 ; Sengupta, 2022 ). However, very few studies explored the challenges encountered by the nursing students during the online learning ( Gaur et al., 2020a ; George et al., 2022 ; Kanagaraj et al., 2022 ; Lata & Kudi, 2022 ). Therefore, the authors decided to understand the experiences and challenges encountered by nursing students in their nursing education during the COVID-19 pandemic. We believe that the study finding will be beneficial to the educational authorities, curriculum developers, and policy makers to design appropriate measures and strategies to enhance effective learning both in nursing education and practice.
An exploratory sequential mixed-methods design was utilized in this study. The study integrated qualitative data into quantitative data to understand the experiences and challenges experienced by nursing students’ during the pandemic.
The study was conducted among nursing students of Narayana Hrudayalaya College of Nursing, Koshy's College of Nursing and Kirubanidhi College of Nursing, Bengaluru, Karnataka, India. These colleges initiated virtual classes from April 2020. Therefore, these colleges were selected as settings for the study.
The target population of the study included both Diploma and BSN students. The accessible population included both Diploma and BSN students studying in Narayana Hrudayalaya College of Nursing, Koshy's College of Nursing and Kirubanidhi College of Nursing, Bengaluru, Karnataka, India.
Three nursing colleges were conveniently selected for the study. In Phase 1, the researchers used purposive sampling technique to collect the qualitative data from six students in each college (Narayana Hrudayalaya College of Nursing, Koshy's College of Nursing and Kirubanidhi College of Nursing, Bengaluru, Karnataka, India). The data collection was done face to face. Thus, in total, 18 students participated in the focused group interview during phase I. For Phase 2, the sample size calculation was done based on the previous cross-sectional study ( Thapa et al., 2021 ). Having the expected proportion of challenges experienced by nursing students as 15%, with 95% confidence interval, and with the precision, the minimum required sample size was 400. In total, all the three nursing colleges had 654 students. Convenient sampling technique was used to collect the data in phase II.
The study included nursing students who were enrolled for Diploma and BSN program, exposed to online learning, and second, third, and fourth year nursing students. The study excluded those who were not willing to participate, and first year nursing students as they had limited exposure to the virtual theory and clinical classes, which may give a limited and inaccurate data. Considering the inclusion and exclusion criteria, 477 students participated in the study.
The instruments used in the study were prepared by the researchers of the study. The qualitative data collected during the first phase of the study was utilized in preparing the tool used for the quantitative phase of the study. It included four parts namely demographic variables, background variables, open-ended questions to explore the participant's experiences and challenges and Likert scale to assess the challenges.
Part 1 included the demographic variables of the participants including age, gender, course of study, year of study, residence, and place of attending online classes.
Part 2 comprised of the background variables such as gadgets used for attending online classes, source of internet, mode of theory classes taken during the last 6 months, mode of practical training, methods of teaching theory classes, audio visual aids used, and the virtual platform used.
Part 3 consisted of a questionnaire related to students’ experiences and challenges. It included 15 open-ended questions related to the aspects of theoretical learning, practical learning, study materials, teaching methodology, evaluation process, issues related to physical and mental health, issues related to technology and issues related to finance.
Lastly, Part 4 included a Likert scale on challenges having 30 questions with eight domains; educational challenges (six items), environmental challenges (two items), communication challenges (five items), technical challenges (five items), evaluation challenges (two items), physical challenges (six items), career challenges (two items), and financial challenges (two items). Dimensions were evaluated using 5-point Likert scale varying from strongly disagree (1), disagree (2), neutral (3), agree (4) and strongly agree (5). The total score ranges from 30 to 150. The domain-wise challenges were interpreted as 1–50 = low challenges, 51–100 = moderate challenges, 101–150 = high challenges. The instrument was prepared in English and no translations were done.
Content validity was obtained from eight experts in the field of nursing education. The calculated content validity index was 0.80. Pilot study was conducted with 10% of the study participants (42 students) to test the reliability of the tool before administering to the main study participants. Using Cronbach's alpha (inter-item reliability), the internal consistency assessed was 0.89, which is highly reliable. The participants participated in the pilot study were excluded from the main study.
Ethical approval was obtained from the Research and Ethics Committee of Narayana Hrudayalaya College of Nursing (NHH/AEC-CL.2022-BI5 dated 22/3/2022), Kirubhanidhi College of Nursing (KCC/22/22 dated 04/3/2022), and Koshy's College of Nursing (KCN/15 dated 07/3/2022) and Institutional review board. After getting the ethical approvals, formal permission was obtained from the Head of Nursing colleges to collect data. The researchers explained the purpose of the study to the participants involved in both quantitative and qualitative data collection. The participants were informed that their participation in the study was voluntary. Since the participants were not forced to participate in the study, they were given the freedom to withdraw from the study at any time without any penalty. The participants signed the informed consent and responded to all the questions and returned the completed questionnaire. All the audio recordings were coded and password protected. It was explained to the participants that they were not exposed to any kind of risk. To keep the data anonymous, no identifying information was collected from the participants. The researchers maintained confidentiality of information throughout the study period. All the collected data were stored in a password protected file. Only, the investigators of the study had access to the data.
In Phase I of the study, three focus groups were selected using purposive sampling technique. Each group included six participants with a total of 18 nursing students. After getting the consent, the participants shared their experiences and challenges faced during their educational training in the pandemic. The interviews were conducted from 25/2/2022 to 25/3/2022 and each interview lasted for 1.30 h to 2 h. The first and third authors conducted the interview. The first author is a PhD and the third author is a BSN holder. The first author is an assistant professor and the third author is a staff nurse. Both of them were females. Both of them were trained in qualitative data collection. The researchers established rapport with the study participants. The researcher used 15 open-ended probing questions and the participants were given the freedom to express additional views and comments. All the interviews were conducted in person in the college and audio recorded with their consent. Focus group discussions were continued till the data saturation occurred. The transcripts were returned to the participants for their correction.
In Phase II, the quantitative data were collected using convenient sampling technique. The total number of students participated in the study were 477. The questionnaires were transferred to Google forms and were circulated to the students after explaining the objectives and getting the informed consent. The quantitative data were collected from 11/04/2022 to 20 /04/2022. The response rate was 72.9% (477) which included Narayana Hrudayalaya College of nursing (88 participants), Koshy's College of nursing (235 participants) and Kirubanidhi College of nursing (154 participants).
The data were analyzed using thematic analysis. The collected data were transcribed and analyzed using Braun and Clarke's thematic analysis. Reflexive thematic analysis was performed in this study ( Clarke & Braun, 2017 ).
The quantitative data were analyzed using descriptive and inferential statistics using SPSS version 22.
To ensure credibility of the data, the researcher strongly engaged with the focused group interviews by means of observation, documentation, and taking notes. Dependability was achieved through reviews and comments given by the research guide, who is the second author of the study who has full knowledge of the study design and methodology. The data collected from participants and the findings could be applicable to other contexts, situations, times, and populations and the study setting. It ensures transferability.
The researcher adhered to rigor by carefully collecting data via audio recordings and by taking field notes. Each focus group interview was transcribed immediately after the interview. The transcripts were given to the participants for cross-checking and approval. In addition to ensuring rigor through trustworthiness criteria, the authors followed mixed-methods research legitimation criteria by ensuring design quality, design suitability, within design consistency, design fidelity, and analytic adequacy ( Teddlie & Tashakkori, 2009 ).
Trustworthiness was established by using an unbiased approach in selecting the participants and by participant's being honest, clearly recorded, and accurately presented inputs. The transcriptions, coding, and themes–subthemes were discussed by the research team for their verification. Then based on the themes and subthemes the quantitative questionnaire was created by the researchers.
Table 1 shows the frequency and percentage distribution of background variables of 18 participants who shared their experiences and challenges faced during their educational training in the pandemic. Table 2 shows the frequency and percentage distribution of participants’ background variables.
Frequency and Percentage Distribution of Demographic Variables of Nursing Students.
S. no | Demographic variables | Qualitative data | Quantitative data | ||
---|---|---|---|---|---|
Frequency | Frequency | ||||
Phase 1 ( = 18) | Percentage | Phase II ( = 477) | Percentage | ||
18–23 years | 16 | 88.9 | 432 | 90.6 | |
23–29 years | 2 | 11.1 | 45 | 9.4 | |
Gender | |||||
Male | 4 | 22.2 | 111 | 23.3 | |
Female | 14 | 77.8 | 366 | 76.7 | |
Course | |||||
B.Sc. Nursing | 14 | 77.8 | 331 | 69.4 | |
GNM | 4 | 22.2 | 146 | 30.6 | |
Year of study | |||||
Second year | 4 | 22.2 | 226 | 47.4 | |
Third year | 9 | 50 | 226 | 47.4 | |
Fourth year | 5 | 27.8 | 25 | 5.2 | |
Residence | |||||
Urban | 11 | 61.1 | 216 | 45.3 | |
Semi-urban | 2 | 11.1 | 113 | 23.7 | |
Rural | 5 | 27.8 | 148 | 31 | |
From where you attended the online classes most of the time | |||||
Home | 7 | 38.9 | 79 | 16.6 | |
Hostel | 11 | 61.1 | 398 | 83.4 |
Frequency and Percentage Distribution of Baseline Variables of Nursing Students.
S. no | Demographic variables | Qualitative data | Quantitative data | ||
---|---|---|---|---|---|
Frequency | Frequency | ||||
Phase 1 ( = 18) | Percentage | Phase II ( = 477) | Percentage | ||
Gadget used for attending online classes (multiple choice) | |||||
Mobile | 18 | 100 | 469 | 98.3 | |
Laptop | 2 | 11.11 | 52 | 10.9 | |
Tablet | 1 | 5.55 | 13 | 2.7 | |
Desktop | 4 | 0.8 | |||
Source of internet (multiple choice) | |||||
WiFi | 3 | 16.66 | 87 | 18.2 | |
LAN | - | - | 1 | 0.2 | |
Mobile data | 18 | 100 | 451 | 94.5 | |
Mode of theory classes taken for the last 6 months | |||||
Online | 1 | 5.6 | 69 | 14.5 | |
Offline | 5 | 27.7 | 157 | 32.9 | |
Both online and offline | 12 | 66.7 | 251 | 52.6 | |
Mode of the practical training | |||||
Online | 1 | 5.6 | 50 | 10.5 | |
Offline | 7 | 38.9 | 289 | 60.6 | |
Both online and offline | 10 | 55.5 | 138 | 28.9 | |
Methods of teaching used for theory classes (multiple choice) | |||||
Lecture cum discussion | 18 | 100 | 451 | 94.5 | |
Seminar | 1 | 5.55 | 98 | 20.5 | |
Role play | - | - | 38 | 8 | |
AV aids used (multiple options) | |||||
Power point presentation | 17 | 94.4 | 445 | 93.3 | |
Videos | 7 | 38.9 | 218 | 45.7 | |
White / Black board | - | - | 88 | 18.4 | |
Virtual platform used (multiple options) | |||||
Zoom | 8 | 44.4 | 250 | 52.4 | |
Google meet platform | 10 | 55.6 | 286 | 60 | |
Cisco | - | - | 106 | 22.2 | |
Web-ex | 4 | 22.2 | 179 | 37.5 |
In Phase 1, the experiences and challenges experienced by nursing students with their educational training during the pandemic were analyzed using thematic analysis. Table 3 reports seven themes and 10 sub-themes. The themes identified includes: (1) technical issues—a concern, (2) regular rhythm in educational training—but not complete, (3) stress and strain, (4) evaluation—a concern, (5) communication, (6) comfort zone, and (7) easy distraction. The sub-themes were: (1.1) problems with internet connectivity, (1.2) issues with the digital platform, (2.1) theoretical learning experience-better, (2.2) deficient practical skills, (3.1) physical stress, (3.2) mental stress, (4.1) unfair evaluation and lack of feedback, (5.1) decreased quality of communication, (6.1) very convenient, and (7.1) difficult to concentrate.
Themes and Subthemes of Experiences and Challenges Faced by Nursing Students.
S. no. | Themes | Sub-themes |
---|---|---|
Technical issues—a concern | 1.1. Problems with internet connectivity | |
1.2. Issues with the digital platform | ||
Regular rhythm in educational training—but not complete | 2.1. Theoretical learning experience-Better | |
2.2.Deficient practical skills | ||
Stress and strain | 3.1.Physical stress | |
3.2.Mental stress | ||
Evaluation—a concern | 4.1.Unfair evaluation | |
Communication | 5.1.Decreased quality of communication | |
Comfort zone | 6.1.Very convenient | |
Easy distraction | 7.1.Difficult to concentrate |
Modern technology is progressive in all sectors. With this technology, it was possible to deliver training in all educational sectors including nursing education during COVID-19. Though it was helpful, technical problems interrupted the teaching–learning process. Most of the participants expressed their concern related to technical issues. It includes issues with internet connectivity, and issues with the digital platform.
Constant network issues were an unavoidable fact for many students. Students could not be connected to the virtual class on time due to the internet connectivity issues and they had to miss attending the classes.
“Sometimes it keeps on showing error code and by the time I get connected the class is completed by the faculty” (5A).
Students stated that they faced technical and network issues while attending the classes.
“During online classes, we have faced a lot of technical and network issues” (2A).
In addition, fluctuations in the network connectivity were another technical issue faced by students and it affected the virtual learning of the students.
“I faced fluctuations in my network during a natural calamity in my place so I missed many classes during that time” (13A).
There are various platforms used to deliver online educational training. The participants expressed their difficulties as they had hitches in updating the digital platforms, and mentioned that the lack of experience in using the platforms affected their learning.
Digital platform did not work if the application is not updated on time. This was stated as below;
“If I did not update the app on time, it will not work” (1A).
Students faced problems in joining the virtual platform due to issues with the virtual platform.
“Sometimes I faced problems with joining with the virtual platform” (8A).
Lack of experience in using the virtual platform by both the faculty and student was another challenge stated by the students.
“Had struggle to join the meeting initially for both students and faculties because it was very new to us” (5A).
Students faced difficulties in submitting the assignments and answer sheets, as they did not have previous experience in submitting it through digital platforms.
“I struggled while submitting the answer sheets /assignment through digital platforms” (4A).
Virtual education is a boon during pandemic. It took the education system in a rhythmic manner. Though the online lectures were beneficial, at times, students faced few challenges.
The students utilized the opportunities to learn from online classes with few challenges in attending online classes.
Commencement of online classes helped the students to have continuity in their studies. As the online classes were started on time immediately, it did not affect their theoretical learning.
“…It was not at all possible for the colleges to continue the offline classes so that the apex body instructed to start with online classes and it's good that we were in touch with our studies” (12A).
Different methods and techniques of teaching adopted during online classes enhanced interest in their learning.
“During online classes teacher used to teach with PPTs, and some good videos to make the session interesting. Sometimes they used to conduct lecture cum discussion. That time I was interested to listen to the class” (15A).
“I was interested to attend the online theory classes when teachers used to take a class by showing some videos related to theory content. It was good” (16A).
Students encountered issues with the storage of study materials as they had minimal storage space in their gadgets.
“Teachers used to send notes in PDF form in the mail or by WhatsApp. When I have storage issues in my gadgets, I deleted the content because of storage issues” (18A).
Practical training is a major part of nursing profession. Students faced many challenges while attending online practical classes.
Most of the students stated that their theoretical learning through virtual mode was excellent. However, students felt that learning practical skills through direct clinical experience is rewarding than learning through virtual platform.
“…theory classes were very good. But in case of practical, like IV infusion, it was very easy to watch the procedure in a virtual platform, but it was very difficult to perform. I feel offline clinical exposure is better than online” (3A).
Students stated that they learnt basic nursing skills through direct clinical experience before the pandemic. However, the students lack confidence in performing the skills that they learnt through videos. The students felt nervous while performing the skills directly on the patients, as they did not get hands-on experience during virtual learning.
“…During my first-year clinical posting, I learnt basic procedure like vital signs checking, wound care, surgical dressing, etc with the direct clinical experience, suddenly everything goes on online, the faculty used to show us best videos. While watching videos I feel I can do. But when it's time to do directly, my hands were shivering and I was not confident. I feel offline exposure is better, we can get more exposure” (1A).
Huge gap in practical learning due to the pandemic affected the learning of the students. Thus, the students did not recommend online learning for learning the skills.
“I did not get adequate practical posting in my first year because of COVID-19. It continued with the second year too. So I have a huge gap with practical learning. For practical learning, online learning is not appropriate” (7A).
Prolonged online training affects the students’ physical as well as mental health. They felt more stressful.
Students experienced physical symptoms such as strain in the eyes, neck pain, back pain and numbness in the legs due to prolonged usage of phone and sitting.
“I have to write my notes by seeing my phone. Every time I need to continuously see my mobile and make notes. It was straining my eyes and stressful for me” (16A).
“While attending online classes I used to keep my video on and listen to the class. Due to prolonged sitting, I have neck pain, eye strain also” (5A).
“I felt back pain and numbness in my leg while attending the online classes with prolonged sitting. I used to walk in between for some time to reduce the numbness” (12A).
Students were anxious, as they could not complete the given tasks in online classes.
“I was anxious because I did not complete my task given in online classes, I was lazy” (4A).
As the students did not get practical experience in the clinical area, their confidence levels were low during the pandemic. Moreover, as the students did not get any opportunity to practice directly in the clinical area during the pandemic, they felt tensed and lacked confidence to directly practice on the patient after the pandemic.
“Due to lack of practice in clinical, my confidence had come down” (8A).
“I felt stressed out when I am thinking about my practical learning. I did not get adequate opportunity to practice” (10A).
“After lockdown when I came in the clinical setting, I was tensed about how I will handle the patient” (15A).
Evaluation is the process of providing feedback to the students to improve themselves. The test, examination, assignment, and evaluation were new for the students and faculty during the pandemic and there were malpractice incidences by the students.
Students felt conducting exam using Google form as useful.
“Some faculties conducted few exams in Google Form, it was good because at that time I studied and attend the exam” (16A).
Malpractice in the online exam could be observed in the students during virtual learning.
“For the online exam, I never used to study because I can copy from PPT, my screenshots, or from Google and score good marks” (2A, 8A, 17A, 18A).
Students stated that they did not get proper feedback on their assignments.
“In my point of view, some faculties did not give us proper feedback on my assignment writing” (6A).
One student stated the unfair evaluation as the students copied scored well.
“I feel very bad when I write without copying and score very less marks; while the students who did malpractice scored well. So the evaluation was going very wrong” (4A).
It is necessary to build proper communication between the teachers and students to continue a smooth training session online. However, students felt that this distance learning created a communication gap between teachers and students.
Limited and disrupted communication with the friends and teachers created distress in the students.
“It was not possible for me to communicate face to face with my friends and teachers during the online classes. It was quite distressing” (1A).
“Online class communication was the major problem. We could not communicate with faculties and peers like offline” (18A).
Students felt that they could not clarify their doubts with the faculty. However, faculty responded to their queries through WhatsApp and social media.
“If it comes to communication, it was very limited… During offline we can directly ask doubts to the faculty, but not now” (2A).
“During the online classes communication was not easy like face to face communication. But teachers were responding by WhatsApp and other social media after class time also” (6A).
Online classes were attended by the students either from hostel or home.
Students felt comfortable staying home and attending online classes.
“It was convenient for me. Because I can stay at home, take care of my family and attend class also” (8A).
“For me, it was convenient, I got more time and can get up late to attend classes” (2A, 3A, 7A).
Students expressed that their transport expenses could be minimized, as they were not required to travel during the pandemic.
“I could save time. Even transport expenses could be minimized” (10A).
Distraction was very high in online classes.
Students were distracted during the online classes due to many notifications received from other online applications and disturbance from their siblings.
“As my internet is on I will get many notifications from other apps during class, it was a distraction for me” (4A, 9A, 11A).
“I attended online classes from my home only. I had disturbance from siblings, during my online classes” (7A, 16A).
Students themselves got distracted as they were using social media in between the online classes.
“I used to browse on Facebook, Instagram, YouTube, etc. during the online classes” (13A).
Table 1 shows the frequency and percentage distribution of participant's demographic variables. Majority (90.6%) of the participants were in the age group between 18 and 23 years. Most of them were females (76.7%). 69.4% of the students were undergraduate (BSN) nursing students, while the rest were in Diploma nursing program. 47.4% of the participants were in their second and 47.4% were in their third year of study. Nearly half (45.3%) were from urban areas and 23.7 were from semi-urban areas, while the remaining (31%) were from rural areas. A large number (83.4%) of students attended the online classes from their hostels.
Table 2 outlines the frequency and percentage distribution of participants’ background variables. The results showed that the majority (98.3%) of the students used mobile phones to attend online classes. Most of them (94.5%) used the mobile data to have the internet connection. Almost half of the participants (52.6%) attended both online and offline classes. More than half (52.6%) of the participants had both online and offline practical exposure, and around 33% had offline clinical exposure. Most of the students (94.5%) attended lecture and discussion sessions. A huge number (93.3%) used power point presentation, and 45.7% of them used videos for teaching. Majority (60%) used Google Meet, while 52.4% used Zoom. The remaining used multiple platforms like Cisco, and Webex.
Figure 1 describes the frequency and percentage of distribution of level of challenges. It was classified as low, moderate, and high level of challenges. Majority of them (54.71%) experienced high-level challenges, 44.6% encountered moderate-level challenges, and the remaining experienced low-level challenges related to their nursing education during the pandemic.
Frequency and Percentage Distribution of Challenges Faced by Nursing Students During Their Educational Training.
The domain-wise challenges with nursing education during pandemic were shown in Table 4 . The eight domains included educational challenges, environmental challenges, communication challenges, technical challenges, evaluation challenges, physical and mental challenges, career challenges, and financial challenges. The mean and standard deviations for educational challenges is (20.27 ± 3.04), environmental challenges (6.92 ± 1.66), communication challenges (17.61 ± 4.01), technical challenges (17.39 ± 3.75), evaluation challenges (7.09 ± 1.94), physical and mental challenges (20.47 ± 4.33), career challenges (7.06 ± 1.91), and financial challenges (6.61 ± 2.1). The overall mean and S.D. of all the domain was 103.39 ± 1 7.11 with the range from 30 to 150.
Assessment of Mean and Standard Deviation of Domain-Wise Challenges Faced by the Nursing Students n = 477.
S. no | Domain-wise challenges | Mean | Standard deviation | Range |
---|---|---|---|---|
Educational challenges | 20.27 | 3.04 | 6–30 | |
Environmental challenges | 6.92 | 1.66 | 2–10 | |
Communication challenges | 17.61 | 4.01 | 5–25 | |
Technical challenges | 17.39 | 3.75 | 5–25 | |
Evaluation challenges | 7.09 | 1.94 | 2–10 | |
Physical and mental challenges | 20.47 | 4.33 | 6–30 | |
Career challenges | 7.06 | 1.91 | 2–10 | |
Financial challenges | 6.61 | 2.1 | 2–10 | |
Total |
Table 5 displays the item-wise challenges. The results of Educational Challenges indicated that almost 38.57% responded that they lack interest in learning. 15.93% either strongly agreed or agreed that face-to-face learning is very effective than E-learning. A larger portion (78.62%) of participants mentioned that the notes and lectures were inadequate. More than half of the participants (54.3%) agreed that virtual demonstration is not very effective for the practical patient care, and 61.21% mentioned that they lack confidence while taking care of patients. The participants provided similar responses during the qualitative phase of the study. The students lack confidence in performing the skills that they learnt through videos. Similarly, the students felt nervous while performing the skills directly on the patients, as they did not get hands-on experience during virtual learning. However, one third of the respondents (33.75%) expressed that they could learn the modern ways of handling patients through videos.
Item-Wise/Domain-Wise Analysis of Challenges Faced by Nursing Students.
S. no | Items | Strongly agree | Agree | Neutral | Disagree | Strongly disagree | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
f | % | f | % | f | % | F | % | f | % | ||
1 | Lack of interest in learning | 74 | 15.51 | 110 | 23.06 | 214 | 44.86 | 43 | 9.01 | 36 | 7.55 |
2 | Face-to-face learning is more effective than E-learning | 30 | 6.29 | 46 | 9.64 | 140 | 29.35 | 126 | 26.42 | 130 | 27.25 |
3 | Notes/Lecture content are not adequate | 224 | 46.96 | 151 | 31.66 | 72 | 15.09 | 16 | 3.35 | 14 | 2.94 |
4 | Virtual demonstration is not very effective—practical patient care. | 113 | 23.69 | 146 | 30.61 | 155 | 32.49 | 35 | 7.34 | 28 | 5.87 |
5 | Lack of confidence while taking care of patients | 162 | 33.96 | 130 | 27.25 | 117 | 24.53 | 44 | 9.22 | 24 | 5.03 |
6 | Learnt modern ways of handling patients through videos. | 56 | 11.74 | 105 | 22.01 | 185 | 38.78 | 80 | 16.77 | 51 | 10.69 |
7 | Distracted very easily while attending online classes | 142 | 29.77 | 139 | 29.14 | 133 | 27.88 | 38 | 7.97 | 25 | 5.24 |
8 | My environment was very comfortable during pandemic to attend online classes | 85 | 17.82 | 113 | 23.69 | 150 | 31.45 | 77 | 16.14 | 52 | 10.9 |
9 | Difficulty in sharing my view with the teachers | 83 | 17.4 | 141 | 29.56 | 169 | 35.43 | 55 | 11.53 | 29 | 6.08 |
10 | Process of teacher–students interaction became passive. | 74 | 15.51 | 145 | 30.4 | 197 | 41.3 | 48 | 10.06 | 13 | 2.73 |
11 | Socializing with peer groups has decreased | 109 | 22.85 | 167 | 35.01 | 151 | 31.66 | 27 | 5.66 | 23 | 4.82 |
12 | Experience of loneliness without interacting much with peer groups. | 115 | 24.11 | 155 | 32.49 | 151 | 31.66 | 32 | 6.71 | 24 | 5.03 |
13 | Missed interaction with my seniors/college mates | 94 | 19.71 | 138 | 28.93 | 167 | 35.01 | 43 | 9.01 | 35 | 7.34 |
14 | Uncertain internet connection interrupts the learning process. | 70 | 14.68 | 140 | 29.35 | 174 | 36.48 | 63 | 13.21 | 30 | 6.29 |
15 | Teachers had difficulty in using technical aspects of the online platforms. | 69 | 14.47 | 109 | 22.85 | 143 | 29.98 | 87 | 18.24 | 69 | 14.47 |
16 | Good internet connection was there at my place. | 140 | 29.35 | 148 | 31.03 | 125 | 26.21 | 38 | 7.97 | 26 | 5.45 |
17 | Faced technical issues with learning platform /device. | 114 | 23.9 | 151 | 31.66 | 146 | 30.61 | 37 | 7.76 | 29 | 6.08 |
18 | Difficulty while submitting the answer sheets /assignment through digital platforms | 140 | 29.35 | 144 | 30.19 | 122 | 25.58 | 44 | 9.22 | 27 | 5.66 |
19 | Online evaluation may create irrational discrimination between students. | 99 | 20.75 | 145 | 30.4 | 168 | 35.22 | 39 | 8.18 | 26 | 5.45 |
20 | Evaluation/test conducted online was unfair | 121 | 25.37 | 127 | 26.62 | 158 | 33.12 | 39 | 8.18 | 32 | 6.71 |
21 | Experience of physical strain like headache, backache, neck pain, eye strain | 147 | 30.82 | 149 | 31.24 | 158 | 23.27 | 43 | 9.01 | 27 | 5.66 |
22 | I did not feel much mental stress | 47 | 9.85 | 92 | 19.29 | 165 | 34.59 | 106 | 22.22 | 67 | 14.05 |
23 | Developed insomnia | 88 | 18.45 | 137 | 28.72 | 162 | 33.96 | 54 | 11.32 | 36 | 7.55 |
24 | Addicted to phone due to prolonged using of phone other than learning purpose. | 96 | 20.13 | 127 | 26.62 | 149 | 31.24 | 64 | 13.42 | 41 | 8.6 |
25 | Regular life style has changed | 125 | 26.21 | 146 | 30.61 | 148 | 31.03 | 38 | 7.97 | 20 | 4.19 |
26 | Worry about online teaching applications that lack proper security system | 99 | 20.75 | 131 | 27.46 | 160 | 33.54 | 55 | 11.53 | 32 | 6.71 |
27 | Virtual practical training will affect my career as a registered nurse. | 115 | 24.11 | 154 | 32.29 | 151 | 31.66 | 38 | 7.97 | 19 | 3.98 |
28 | I may not be able to work as a skillful nurse | 91 | 19.08 | 143 | 29.98 | 152 | 31.87 | 56 | 11.74 | 35 | 7.34 |
29 | Extra money for my expenses for good internet package | 149 | 31.24 | 128 | 26.83 | 126 | 26.42 | 40 | 8.39 | 34 | 7.13 |
30 | Bought a new laptop/mobile/electric gadgets to attend virtual classes. | 89 | 18.66 | 94 | 19.71 | 111 | 23.27 | 68 | 14.26 | 115 | 24.11 |
With regard to Environmental challenges , 41.51% expressed that they were comfortable with their home or hostel environment to attend online classes. However, more than half (58.91%) said that they were easily distracted while attending classes. Similar findings were seen in the qualitative phase of the study. Students were distracted during the online classes due to many notifications received from other online applications and disturbance from their siblings. Further, the students were distracted as they were using social media during the online class.
In terms of Communication challenges , almost half of them (46.96%) expressed that they had difficulty in sharing their view with the teachers, and 45.91% said that teacher–student interaction was passive. More than half (57.86%) of them expressed that peer group socialization has decreased, missed interaction (48.64%) with other college mates/seniors and experienced loneliness (56.6%) without interacting much with peer groups. Similar to these findings in the quantitative phase, in qualitative phase, the students mentioned that limited and disrupted communication with the friends and teachers created distress in the students. Moreover, the students could not clarify their doubts with the faculty.
Regarding Technical challenges , 44.03% had uncertain internet connection that interrupted the learning process. Around 37.32% expressed that the teachers had difficulty in using technical aspects of the online platforms initially. Around 39.63% had internet issues in their place. Almost 55.56% students faced technical issues with learning platform/device and around 59.54% had difficulty while submitting the answer sheets/assignment through digital platforms. Likewise, the qualitative findings revealed that the students faced technical and network issues while attending the classes. In addition, fluctuation in the network connectivity was another technical issue faced by students and it affected virtual learning. The participants expressed their concerns as they had difficulties in updating the digital platforms, and mentioned that the lack of experience in using the platforms affected their learning. Students faced difficulties in submitting the assignments and answer sheets, as they did not have previous experience in submitting it through digital platforms.
Related to Evaluation challenges , almost half of them (51.15%) mentioned that the online evaluation might create irrational discrimination between students with network issues, and 51.99% of them said that the evaluation/test conducted online was unfair. Consistent findings could be noted during the qualitative phase of study. Students mentioned that malpractice in the online exam occurred and it affected their grades. In addition, students stated that they did not get proper feedback on their assignments.
With respect to Physical and mental challenges , more than half 62.06% experienced physical strain like headache, backache, neck pain, and eye strain, 47.17% experienced insomnia, around 70.86% had mental stress, 46.75% got addicted to phone due to prolonged usage other than for learning purpose, 56.82% mentioned that the regular life style has changed, and lastly 48.21% were worried about the online teaching applications which lack proper security system. Likewise, same results are discovered in the qualitative phase of the study. Students experienced physical symptoms such as strain in the eyes, neck pain, back pain, and numbness in the legs due to prolonged sitting and continuous usage of phone. Additionally, students were anxious, as they could not complete the given tasks in online classes. Further, as the students did not get practical experience in the clinical area, their confidence levels were low and they felt tensed and lacked self-confidence to directly practice on the patients after the pandemic.
In terms of Career challenges , 56.4% agreed that virtual practical training may affect their career as a registered nurse, and 49.06% agreed that they may not be able to work as a skillful nurse with the virtual learning. Regarding Financial challenges , almost 58.07% agreed that extra money was spent for good internet package and 38.37% bought a new laptop/mobile/electric gadget to attend virtual classes.
With regard to association of demographic variables, only gender (χ 2 = 6.218, p = 0.045) has shown statistically significant association with problems or challenges faced by the nursing students during educational training in the pandemic at p < 0.05 level of significance.
During COVID-19 pandemic, face-to-face teaching and learning were converted to virtual learning and the clinical experiences were suspended to protect the students from the pandemic ( Agu et al., 2021 ). The experiences with the online classes were very new for the nursing students. Moreover, the online education became unavoidable and was a good choice for the faculty and students during this pandemic across the world. Even though, the students and teachers had a positive view of the technology, which helped in the teaching–learning process during pandemic, it posted many challenges ( Mousavizadeh, 2022 ).
We conducted a mixed-methods study to explore the experiences and challenges faced by nursing students in their education during COVID-19 in India. The study adopted an exploratory sequential mixed-methods design. The study was conducted as two phases; the qualitative data were collected during Phase I using focus group interview with the students. The qualitative data collected during the first phase of the study was utilized in preparing the tool for the quantitative phase of the study. The quantitative data were collected using a Likert scale prepared by the investigators of the study on challenges experienced by nursing students on their education. During Phase 1, the analyzed data produced seven themes and 10 sub-themes on the challenges. These themes produced during the qualitative phase further explained the challenges experienced by the nursing students in their education during COVID-19 pandemic in the quantitative phase.
Learning motivation encourages learners’ activities and directs and maintains their progress, allowing students to immerse themselves in learning ( Kim, 2020 ). However, virtual learning decreased students’ attention and interest in classes, which then decreased their motivation to learn ( Morfaki & Skotis, 2022 ). Likewise, in the current study most of the students expressed that they lost interest in their learning. Student's interest is very important for academic achievement, so different methods of teaching and learning need to be adopted in future to improve the learning among students during online education ( Mousavizadeh, 2022 ).
During COVID-19 pandemic, the medical and nursing institutions used learning management systems (LMS) and uploaded various reading materials, videos, quizzes, and presentations to encourage the engagement of students in asynchronous learning activities. In addition, online discussion forums were created to facilitate the virtual learning process ( Atwa et al., 2022 ). Some students preferred online learning as it provides structured learning materials and enables studying from home at their own pace and convenience ( Paechter et al., 2010 ; Zheng et al., 2021 ). However, most of the students in different studies conducted across the world preferred face-to-face learning for acquiring motor skills, for establishing interpersonal relationships, and for achieving student learning outcomes ( Arias et al., 2018 ; Faidley, 2021 ; Ramani & Deo, 2021 ; Lim et al., 2021 ). Similarly, Muthuprasad et al. (2021) advocated that the online mode of learning may not be a viable option for practical/skill-oriented courses and therefore hybrid/blended curriculum involving both face to face and online modes of learning shall be adopted by the institutions.
The faculty used different methods of teaching and audio visual aids to enhance the teaching–learning process during the pandemic ( Reimers et al., 2020 ). However, students in the present study mentioned that the notes/lecture content were inadequate. Similar findings were reported in other studies that the quality and effectiveness of lecture were low; and inconsistencies were observed in some professor's lecture during COVID-19 ( Cengiz et al., 2022 ; Dziurka et al., 2022 ; Mousavizadeh, 2022 ; Mukasa et al., 2021 ; Rohde et al., 2022 ). This warrants the educational institutions to monitor the quality of teaching delivered by the faculty to their students during this pandemic. In addition, the faculty should take self-initiatives for the professional empowerment ( Osmanovic Zajic et al., 2022 ).
The professional preparation of nurses involves many hours of practical and theoretical classes which is conducted face to face, which gives a real learning experience ( Dziurka et al., 2022 ). However, COVID-19 pandemic caused alterations, restrictions, limited clinical placements and simulation training in the campus ( Rohde et al., 2022 ). Thus, many nursing institutions adopted virtual theoretical and practical learning modes. Various studies across the world including the present study reported that virtual practical learning was inappropriate and ineffective in doing practical skills. Additionally, the nursing students lack confidence in taking care of the patients as they did not have hands on training ( Cengiz et al., 2022 ; Dziurka et al., 2022 ; Gheshlagh et al., 2022 ; Mukasa et al., 2021 ; Rohde et al., 2022 ; Wajid & Gedik, 2022 ). Therefore, in addition to direct face-to-face practical training in the clinical areas, more nursing simulations, virtual reality, artificial intelligence and telenursing should be utilized to enhance the practical learning of nursing students ( Dziurka et al., 2022 ).
Student engagement during the virtual classes are very essential. The students are expected to actively participate, show positive conduct, self-regulated, display deep learning and understanding, and should demonstrate positive reactions to the learning environment, peers, and teachers ( Bond et al., 2020 ). However, students in the current study and many other studies were distracted very easily while attending online classes, which limited their learning during pandemic ( Bergdahl, 2022 ; Farrell & Brunton, 2020 ; Fazza & Mahgoub, 2021 ; Hollister et al., 2022 ). Therefore, more peer-to-peer conversations and faculty–student exchanges are recommended to enhance the engagement and learning during the pandemic.
Effective communication between the educator and the students enhances the learning experience and creates a positive learning environment. In addition, it improves the exchange of ideas, knowledge, and thought to fulfill the purpose of teaching and learning. However, ineffective communication creates frustration, impaired interpersonal relationships, and lack of motivation ( Alawamleh e al., 2020 ). In consistent to this study, the present participants had difficulty in sharing their view with the teachers, could not socialize with peer groups, and experienced loneliness. Furthermore, studies reported that impaired communication during online learning creates uncertainties and insufficiencies in learning ( Cengiz et al., 2022 ; Mousavizadeh, 2022 ; Mukasa et al., 2021 ). Thus, effective communication with the students should be streamlined for successful virtual learning ( Mukasa et al., 2021 ).
Online education can be effectively integrated in the nursing curriculum as it guarantees effective problem-based learning. However, the nursing colleges were not adequately prepared to effectively utilize the online teaching and learning in developing and under developed countries ( Molefe & Mabunda, 2022 ). Technical aptitude was lacking among the faculty and students, which posed various challenges ( Barrot et al., 2021 ). Moreover, technical challenges limited the satisfaction of students and faculty toward online teaching and learning ( Mahyoob, 2020 ). Furthermore, failure of internet services, website failures, problems in logging into the site disrupted the teaching–learning process during the pandemic ( Fuchs, 2022 ; Gaur et al., 2020b ). Similar to these studies, the present study participants mentioned that they experienced uncertain internet connection, faced technical issues with learning platform/device, and had difficulty while submitting the answer sheets /assignment through digital platforms. In addition, the teachers had difficulty in using technical aspects of the online platforms. This calls for improving the instructional design and pedagogical methods by training the faculty and students to utilize the digital platforms effectively, which might improve the motivation and engagement of faculty and students during the online education ( Aivaz & Teodorescu, 2022 ).
Significant changes in the teaching and learning during the pandemic created profound opportunities and threats. Stakeholders and students reported that the evaluation during online learning was biased and ineffective ( Krishnamurthy, 2020 ) and experienced uncertainty toward the examination ( Idris et al., 2021 ). Besides, online learning affects the test scores and grades, student outcomes, attitude, and overall satisfaction with learning ( Szopiński & Bachnik, 2022 ). In the same way, the students in the current study mentioned that the online evaluation created irrational discrimination between students and the evaluation conducted online was unfair. Therefore, standard setting in the evaluation is an essential step considering the learners and educator's perspective, which would improve the teaching–learning process ( Wasfy et al., 2021 ).
COVID-19 pandemic disproportionately affected the physical and mental health of students ( Ro et al., 2021 ). Students missed eating, did not participate in extracurricular activities, and experienced computer-related physical stress ( Idris et al., 2021 ). Likewise, students experienced increased stress due to homework, social isolation and lack of social interactions ( Rao & Rao, 2021 ). In congruent with these study findings, the participants in the present study experienced headache, backache, neck pain, eye strain, insomnia, and mental stress. The authors recommend addressing the physical and mental health issues of the students by promoting the utilization of physical, emotional, and mental health support programs ( Idris et al., 2021 ).
COVID-19 pandemic impacted the career preference, career perspective, and ideal workplace ( Wang et al., 2022 ). In the same way, the students struggled with the career decision-making process during the pandemic ( Jemini-Gashi & Kadriu, 2022 ). Likewise, working students lost their jobs, which affected their lives, studies, and health ( Tsurugano et al., 2021 ). In line with these studies, students of the present study expressed that virtual practical training will affect their career as a registered nurse and they may not be able to work as a skillful nurse. This calls for the initiation of a structured and well-designed practical training program for the nursing students in the hospitals before their placement as a registered nurse in the clinical practice.
The pandemic put a number of students under financial strain, which severely affected their mental well-being ( Negash et al., 2021 ). Similarly, the university students were disproportionately affected by the economic consequences of the pandemic, which escalated the economic uncertainty ( Gewalt et al., 2022 ). The students who lost their economic resources during pandemic experienced higher prevalence of depressive symptoms ( Tancredi et al., 2022 ). Participants in the current study mentioned that they had to spend extra money for good internet package and bought a new laptop/mobile /electric gadget to attend virtual classes, which increased their economic burden. To counterbalance these economic challenges, financial aid schemes for students need to be made available to relieve distress and allow students to focus on their studies ( Gewalt et al., 2022 ).
The study findings are limited to only few nursing colleges in India. Therefore, the study findings may not be generalizable to other states of India. As the study population was not selected through probability sampling strategy, the representativeness of samples might be lacking in the current study. Moreover, the study instruments were prepared by the investigators of the study that did not undergo rigorous standardization process, which might limit the strength of the study. Based on the study findings, the institutions where the study was conducted should design strategies to mitigate the challenges to have effective teaching and learning.
Virtual nursing education can be improved by refining the content and delivery methods, training of nursing faculty to use online educational strategies, and by reducing the technical and environmental barriers. Hybrid and blended teaching–learning strategies may further improve the learning among nursing students.
Virtual education can be very successful if we address the challenges and experiences of the students by performing appropriate groundwork by upgrading the required hardware and software, teaching how to use the facilities, and developing innovative teaching techniques and standard protocols for virtual education.
Acknowledgments.
The authors thank the students and faculty members who participated in this study. The authors are thankful to the Deanship of Graduate Studies and Scientific Research at University of Bisha, Saudi Arabia for supporting this work through the Fast-Track Research Support Program. The authors would like to acknowledge the nursing students who have participated in the study. Special thanks to the administrators and faculty members of the institutions for their motivation and support during data collection.
Author Contributions: PK designed and conducted the study and wrote the initial draft of the manuscript. JA edited and added additional content and refined the manuscript. AP collected the data. SM edited the manuscript.
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Ethical Approval: Ethical approval was obtained from the Research and Ethics Committee of Narayana Hrudayalaya College of Nursing (NHH/AEC-CL.2022-BI5 dated 22/3/2022), Kirubhanidhi College of Nursing (KCC/22/22 dated 04/3/2022), and Koshy's College of Nursing (KCN/15 dated 07/3/2022).
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors are thankful to the Deanship of Graduate Studies and Scientific Research at University of Bisha, Saudi Arabia for supporting this work through the Fast-Track Research Support Program.
ORCID iDs: Judie Arulappan https://orcid.org/0000-0003-2788-2755
Shimmaa Mansour Moustafa Mohammed https://orcid.org/0000-0002-2956-610X
Supplemental Material: Supplemental material for this article is available online.
From mit to the city college of new york, these 25 schools send graduates out into the world with high earnings potential and little if any student debt., by francesca walton , forbes staff.
C ollege is an investment , and one more and more Americans are leery of. Most now say a college degree isn’t worth taking on student debt . A new Gallup poll finds a third of Americans—triple the number of a decade ago—have little to no confidence in higher education, with costs (along with politics) underlying this growing disenchantment.
So here’s the good news: There are lots of schools on Forbes’ America’s Top Colleges list that actually produce an excellent return on investment. This is about more than just the sticker price. Go to a cheap school that produces lousy job prospects and taking on even a few thousand in debt (plus the lost time you spent studying) may not be worth it. Pick an “expensive” school that reduces the net cost with generous aid and catapults its graduates into lucrative careers and your investment could pay off, big-time.
To determine which of Forbes ’ top 500 colleges offer the best return on investment (ROI), we looked at each school’s price-to-earnings premium, a calculation by the think tank Third Way that shows the number of years it takes graduates to recoup the net cost of their education. We also factored in the schools’ debt-to-percent-borrowed index, a figure that Forbes created for the top 500 colleges list that takes into account how many students take on debt to attend the school, and how much debt those graduates leave with.
Combined, these measures gave us 25 schools that offer a low-debt education and promise high earnings potential. In other words, a high average ROI. Some of them come as no surprise—science and technology heavy-hitters Stanford University and the Massachusetts Institute of Technology , for example, both offer their students stellar ROIs. Others, like the nine City University of New York (CUNY) schools on this list, are less well known, particularly outside of New York.
To learn more about each school, click on the college name. To see where each school ranks in the top 500, click here .
Princeton University continues to take the #1 spot not only in the top 500, but also in terms of students’ return on investment. The New Jersey Ivy League university offers nearly 40 majors and certificate programs; the most popular majors are computer science, economics, and public policy. Over the years, more graduates have gone into the finance and technology sectors than any other industry (with business, consulting, and hedge funds also being well represented). The median salary for a Princeton graduate ten years after receiving their diploma is just under $200,000, and the university’s generous financial aid (backed by a huge $34 billion endowment) ensures that students graduate with little to no debt.
“Ivy-plus” Stanford University in California is known nationwide for its focus on STEM programs and its pipeline to high-paying Silicon Valley jobs. Many students end up in the technology and startup space, and within a few years of graduating, the median Stanford grad brings home $100,000 or more per year. Only around 5% of students take out federal loans to attend the university, with the median loan amount totaling $9,851.
CCNY is the first of nine City University of New York schools on this list, and the oldest in the 25-college public system. It was also the first free public institution of higher education in America. It’s no longer free, but undergraduate tuition for New York state residents is just $6,930 a year. Psychology, biology and computer science are popular majors at the public college in midtown Manhattan, and graduates recoup their net cost in just six months, according to Third Way data.
Graduates of the California Institute of Technology earn a median salary of $132,140 six years after enrolling (and for many bachelor’s-degree holders, two years after graduating). The science and technology-oriented school in Pasadena, California offers its graduates a price-to-earnings premium of 0.73, meaning it takes graduates about nine months to recoup the cost of their education.
CUNY’s Hunter College, located on the upper east side of Manhattan, offers more than a hundred undergraduate and postgraduate majors across its five schools. Only 6.5% of students take out loans to attend the college, and their median loan balance is $8,812. Hunter College graduates typically recoup their net cost within half a year, per Third Way data.
The Massachusetts Institute of Technology boasts high salaries for its graduates—MIT alumni earn a median $105,000 six years after graduating. A tiny 4% of MIT students take out federal student loans (with their median debt being $12,462) and 95% of borrowers are able to make a dent in their loan principal within five years of graduating. The Cambridge-based university is known for its intense science and technology programs, with computer science, mechanical engineering and math among the most popular majors.
Only 7% of students take out federal loans to attend CUNY Brooklyn College, and their median loan total sits at $9,218. Once graduated, Brooklyn College students make up the net cost of their education in just over half a year, according to Third Way data. The school accepts 55% of applicants, and popular majors include psychology, accounting, and business administration and management.
CUNY York College in Jamaica, Queens, offers its undergraduates 60 majors to choose from, including nursing, social work and health services. About 5% of students take out federal loans to attend York College, and their median loan total is just $7,500, one of the lowest figures of the 25 schools on this list. Graduates recoup their net cost in just over a year, according to Third Way.
CUNY Queens College, neighbor to York College, also offers its students a stand-out ROI: graduates recoup their net cost within nine months (low-income students do so within six months), and just 8% percent of students take out loans, with a median student debt of $8,580. The college accepts 70% of its applicants, and enrolls nearly 12,400 students.
The CUNY John Jay College of Criminal Justice offers students an education in criminal justice and forensic science, and many graduates go on to work in local police forces, earn law degrees, or work in public policy. The 7% of students who borrow to attend the school take out a median $9,250 in loans, and graduates recoup their net cost in about 10 months. Low-income students recoup their cost in around half a year.
Less than 3% of students borrow federal dollars to attend America’s oldest college, Harvard University, thanks in large part to the comprehensive aid packages the school grants to all students showing financial need. Like Princeton, Harvard’s generosity is funded by its $50 billion endowment. After graduation, Harvard alumni need a little over a year to recoup their net cost, and low-income students specifically take about six months to do so.
Rice University in Houston, Texas, which made its top-ten debut on this year’s Forbes ’ America’s Top Colleges list, is known for its engineering and computer science programs. Graduates earn a median salary of $88,000 six years after graduating, and an impressive $152,100 ten years out. Rice alumni recoup their net cost in just about a year after graduating, per Third Way data.
Noticing a trend? CUNY Bernard M Baruch College is the seventh CUNY school on this list, cementing the New York system’s reputation as a cost-effective option for bachelor’s degree seekers. The Manhattan college offers 29 majors, with finance and accounting being the most popular. Graduates recoup their net cost within about five months, and low-income graduates do so in about two months, the fastest of any school on this list. About 10% of students borrow to attend the school, taking out a median $10,000 in loans.
The median loan balance for students at Berea College in Kentucky is a low $3,516, which is no surprise given the school charges $0 in tuition. About 10% of students take out federal loans to cover other costs, such as room and board, books and supplies. Graduates of the small school take about 15 months to recoup their net cost, per Third Way data.
Popular programs at CUNY Lehman College in the Bronx include psychology, healthcare administration and accounting. Nearly 11% of students take on debt to attend the school, with a median federal loan balance of $8,500. It takes graduates about nine months to recoup their net cost, and low-income students need about seven months to do so.
Thanks to generous Yale financial aid, only 5% of students take out federal loans to attend this Ivy League school in New Haven, Connecticut and the median debt load for those graduates sits at $11,648. But paying back those loans shouldn’t be too hard, since two years after graduating with a four year degree, Yalies have a median salary of $81,765 and eight years later, the median is $168,300. Graduates take about 14 months to recoup their net cost, according to Third Way.
The University of Florida is the largest school on this list, counting nearly 33,000 undergraduates, 12% of whom take on student loans. Students who borrow take out a median $14,000 to attend the public university in Gainesville, and five years after graduating, three-quarters of those borrowers are able to make a dent in their loan principal. Popular majors among Gator Nation include engineering, marketing and communications. Earlier this year, the University of Florida was named one of Forbes ’ New Ivies , in part because of its high reputation among employers.
For students interested in aviation and aerospace programs, Embry-Riddle Aeronautical University in Daytona Beach, Florida offers a great return on investment. Graduates need about 14 months to recoup the net cost of their degree, and low-income graduates specifically take about 16 months. Ten percent of students borrow federal dollars to attend the university, with a median loan amount of $14,250.
Only 9% of students borrow to attend the College of Staten Island, and their median federal loan burden is $8,846. Graduates, including low-income graduates, can recoup their net cost within about a year and a half. Popular majors at the New York university include psychology, social science, and business.
The rigorous University of Chicago, often dubbed an “Ivy-plus” school, is popular for its social sciences, mathematics and economics programs. Graduates recoup their net cost within about a year and a half, though low-income students can do so in less than a month, thanks largely to sizable financial aid packages that bring tuition, fees and housing costs to near-zero. About 5% of students borrow to attend the university, with a median debt load of $13,368.
Mormon mainstay Brigham Young University in Provo, Utah, offers popular programs in business, biomedical science and engineering. About 10% of students borrow to attend the university, taking on median federal student debt of $8,310. Graduates need about a year and a half to recoup the net cost of their education, and low-income students can do so in a little less than a year.
Graduates of the University of Pennsylvania earn a median $89,100 six years after graduating, and a median $171,800 ten years out. These high salaries allow graduates to recoup their net cost within about a year and a half, though low-income students can do so in less than a month because of the university’s comprehensive financial aid. Popular majors at the Ivy League university include finance (at Penn’s Wharton School of business), social sciences, biology and nursing.
Claremont McKenna College, part of the seven-school Claremont College consortium in southern California, enrolls about 1,400 students. Around 16% of students take out federal loans to attend the college, with a median debt balance of $11,948. Six years after graduating, alumni earn a median of $86,700, and $167,000 ten years out.
California State University-Dominguez Hills in Carson, California enrolls around 12,000 undergraduates. After walking away with their degree, graduates need about 10 months to recoup their net cost, and low-income students specifically take about eight months. One in five students borrow money to attend the university, with an average federal loan balance of $11,902. Popular majors at the state university include business administration, psychology and criminal justice.
At Vanderbilt University in Nashville, Tennessee, just under 10% of students take out federal loans and they end up with a median debt of $12,913. The university offers 70 undergraduate majors, including economics, social science and computer science. It takes graduates about a year and a half to recoup the net cost of their degree, and low-income students can do so within about eight months.
IMAGES
VIDEO
COMMENTS
Stress in nursing school can cause a multitude of physical and mental symptoms that can negatively impact your academic performance. It is crucial to recognize when you feel stressed and implement stress management techniques before your grades are affected. 5. Stress can lead to alterations in your immune system's ability to resist illness.
At this time, little is known about how stress experienced in nursing school is associated with susceptibility to stress in the work environment. Understanding of how students experience stress could improve the performance and wellbeing of new nurses and, ultimately, the health of their patients.
Identifying the signs of stress is crucial for early intervention and management. Nursing students should be aware of the following indicators: 1. Physical symptoms: - Chronic fatigue and exhaustion. - Frequent headaches or migraines. - Sleep disturbances (insomnia or oversleeping) - Muscle tension and body aches.
Nursing programs should address these stress levels to ensure a greater success rate of graduating nurses to increase the worldwide supply. Future studies should address factors that affect the stress level of nursing students, such as the influence of birthplace, family income, social and cultural factors on the stress level of nursing students.
Think of eating well as an investment in your nursing career. It will help you bring your best game, sustainably, throughout nursing school and beyond. "Treat your body well, and you will be better equipped psychologically to deal with the stress," Johnson says.
The STROBE checklist was used. During COVID-19, there was a reliable and accurate relationship between stress and coping strategies. Furthermore, both stress and coping strategy scores were lower before COVID-19 and higher during COVID-19. Nursing students are struggling to achieve a healthy stress-coping strategy during the pandemic.
Resources like The 9 Circles of Nursing School Hell and How to Stay Motivated During Nursing School further underscore this point. Fortunately, there are ways to cope and emerge as a successful professional in the field. Keep reading for important tips to reduce nursing school stress. Why Is Nursing School So Stressful?
Coping with panic attacks in nursing school can look like: seeking regular therapy, deep breathing, mindfulness, muscle relaxation, light exercise, or aromatherapy. Building a relationship with a therapist can give you the tools to cope with anxiety throughout many parts of your nursing career.
Some of the major mental health challenges that nursing students face include stress, anxiety, and depression. Plus, the stress of nursing school can exacerbate already existing challenges, including substance use disorders, eating disorders, and mood disorders. Most nursing students and nurses experience burnout at some point in their career.
3. Practice deep breathing to lower stress. It may seem obvious that your brain needs oxygen to function, but breathing exercises can reduce anxiety and tension while also improving concentration and focus on your studies. There is a lot of research on why breathing is so effective at reducing stress.
Here are seven stress-relief techniques you can count on during your nursing education. 1. Make Self-Care a Priority. This tip is first for a reason. While it can feel like nursing school is too stressful, it is still important to take care of yourself during this time.
Make sure you don't have family or job obligations that are going to add extra stress on you, because maybe in 2 or 3 year your life will be different and you may be ready for nursing school. Consider part-time : If you find you are too busy right now or don't think you can handle the stress, consider going part-time.
A routine helps you to cope with change and stress like balancing work and school as a nurse. It takes approximately 21 days to form a new habit or routine. If you set a schedule and stick with it for three weeks, you'll slowly see a reduction in anxiety and burnout.
Nursing school requires a lot, so avoiding stress entirely just isn't always realistic. Some days you have to accept the reality of nursing school stress, but you can always stress less, and sometimes defeat it entirely with a few techniques. 1. Practice Self Care Ritually. "Self-care" doesn't mean what it's sometimes used for ...
Nurses, especially, should take notice, as there is a scientific basis for this method of stress relief. According to , deep breathing helps to bring oxygen to the brain and stimulates the parasympathetic nervous system which helps to reduce stress. Heart rate and blood pressure decrease and muscles relax.
Remember, nursing school is just a season of life and you can give more during other seasons of your life. ... forming study groups or simply chatting with classmates about shared experiences can reduce stress and foster a sense of camaraderie. Additionally, consider seeking out a mentor—someone who has successfully navigated nursing school ...
The aim of the study was to identify stress level, bio-psycho-social response and coping behavior of nursing students during the practical training. A cross-sectional study was carried out with the 1st, 2nd, 3rd, 4th-year nursing students (n = 1181) between September 2018-may 2019. Data was collected using by Socio-Demographic Questionnaire, The Student Nurse Stress Index, The Bio-Psycho ...
1. Introduction. Nursing students experience higher levels of stress than students in other health sciences. The clinical part of nursing education is more stressful than the theoretical part ().A study in Bahrain found that all nursing students experienced moderate to severe stress in the clinical setting ().Also, a conducted study in Iran revealed that 99.3 percent of nursing students ...
Stress and burnout remain prevalent among health care professionals who cite a need for increased mental health support in the workplace. Share This Print. Two School of Nursing researchers, Michelle Kober, PhD candidate, and Yu-Ping Chang, associate dean for research and Patricia H. and Richard E. Garman Endowed Professor, recently published a ...
Getting your Bachelor of Science Degree in Nursing from SPC's Walter L. Schafer, MD and Vivian B. Schafer, RN College of Nursing Baccalaureate Program gives you a solid foundation for advancing your career and improving your skills. Our program is ideal for employed nurses because it is offered completely online. Nursing at St. Petersburg College.
Background This study aimed to characterize the patterns of psychological stress among nursing students during the COVID-19 pandemic, and evaluate for profile differences in demographic characteristics, coping styles and professional identity. Methods A cross-sectional study was conducted among nursing students with convenient sampling from four colleges in China from April to June 2022. A ...
The Simulation Center for Excellence in Nursing Education (SCENE) is a multi-million, dollar state-of-the-art simulation lab which provides a supportive environment in a realistic clinical setting for students to learn and master nursing skills. Located at the Health Education Center, the SCENE is a safe, non-threatening teaching/learning ...
Burnout refers to chronic workplace stress that includes the following three dimensions: energy depletion or exhaustion, ... RN is an Associate Professor at the Duke University School of Nursing. Her research program centers on patient- and family-centered care and support of adult patients with traumatic brain injury and their family ...
To test a teaching- learning strategy to help nursing students decrease stress and anxiety that may be brought about by the psychiatric mental health clinical experience. Qualitative: Not identified: Overall, students reported that participating in the teaching-learning strategies (blended learning) and self reflection helped mitigate anxiety. ...
Getting your nursing degree from SPC's Evelyn W. Jerger Nursing Program means you've made a solid career choice. With 2.7 million jobs, registered nursing makes up the largest health care field in the United States. With many nurses retiring and an aging population, Florida could face a critical nursing shortage in the coming years.
As a preventive and control measure, all the schools, colleges, and universities were closed (Mustafa, 2020). In April 2020, 94% of learners worldwide were affected by the pandemic, representing 1.58 billion children and youth in 200 countries (De Giusti, 2020). Likewise, nursing education has undergone many radical changes both in developed ...
727.791.2400. DEGREES + TRAINING | TUITION + FINANCIAL AID | ADMISSIONS | WHY SPC. A Nursing Program That Makes a Difference. SPC's College of Nursing offers nationally accredited nursing programs that give you sought-after skills that you can take anywhere. Our Associate in Science degree program trains you to become a Registered Nurse.
Some schools have turned unused rooms into spaces where teachers can relax. "It's like a teacher timeout room, where it's very quiet, there's soft music, soft lighting. Maybe there's a recliner. Maybe there's a massage chair." Davis said when she was an assistant principal, her nearly 1,000-student school had no such space. So she shared her own.
7. Managing Stress and Work-Life Balance . Travel assignments can be stressful. Manage stress by: Setting Boundaries: Ensure a healthy work-life balance. Practicing Self-Care: Engage in activities that help you relax and recharge. Seeking Support: Don't hesitate to talk to colleagues and supervisors if needed. 8. Building a Professional Network
To determine which of Forbes' top 500 colleges offer the best return on investment (ROI), we looked at each school's price-to-earnings premium, a calculation by the think tank Third Way that ...