Project description:ObjectiveIt is still unknown whether the stress level and stressors in Chinese nursing interns are influenced by teacher-related factors. This research was carried out for better understanding of the stress in nursing interns and distribution of stressors during their clinical practice and targeted measures to unwind the stress of nursing interns.MethodsA questionnaire survey, titled Questionnaire on Stressors of Nursing Interns during Clinical Practice, was conducted on nursing interns at a 3A Grade Hospital in Shandong Province. Characteristics of the nursing interns and stressors of nursing interns were collected. A multiple-linear regression model was used to explore the influencing factors of nursing interns' scores.ResultsA total of 132 nursing interns were investigated in this study, and the overall stress scores were calculated. The stressors during the internship include the nature and content of the job, role orientation, workload, conflict between study and work, practice preparation, and interpersonal relationships. Gender, education level, instructor encouragement, and parents engaged in the medical industry were adjusted in the multiple-linear regression model as covariates. All of these factors had significant impacts on the scores of stressors (P < 0.05), with the partial regression coefficient values of 13.38, -10.52, -5.02, 3.4, -9.89, -14.77, and -15.83 for factors like female, undergraduates, graduate students, never obtained encouragement from teachers, obtained encouragement from teachers occasionally, obtained encouragement from teachers frequently, and parents engaged in the medical industry, respectively.ConclusionThe stressors of nursing interns are mostly work-wise, and teachers' encouragement is an important protective factor for nursing interns to reduce stress. Therefore, clinical instructors should take targeted measures in teaching methods and work arrangements according to the needs of interns.
Project description:BackgroundCompassion fatigue is a significant issue in nursing, affecting both registered nurses and nursing students, potentially leading to burnout and reduced quality of care. During internships, compassion fatigue can shape nursing students' career trajectories and intent to stay in the profession. Identifying those at high risk is crucial for timely interventions, yet existing tools often fail to account for within-group variability, limiting their ability to accurately predict compassion fatigue risk.ObjectivesThis study aimed to develop and validate a predictive model for detecting the risk of compassion fatigue among nursing students during their placement.DesignA cross-sectional study was used to capture the prevalence and associations of compassion fatigue among nursing interns, as it allows for timely assessment of key influencing factors without requiring long-term follow-up.MethodsA convenience sampling strategy was used to recruit 2256 nursing students from all ten public junior colleges in Hunan province in China between December 2021 and June 2022. Participants completed questionnaires assessing compassion fatigue, professional identity, self-efficacy, social support, psychological resilience, coping styles, and demographic characteristics. Predictors were selected based on prior literature and theoretical frameworks related to compassion fatigue in nursing. Latent profile analysis was used to classify compassion fatigue levels, and potential predictors were identified through univariate analysis and least absolute shrinkage and selection operator (LASSO) regression. Eight machine learning algorithms were applied to predict compassion fatigue, with performance assessed through cross-validation, calibration, and discrimination metrics. The best-performing model was further validated to ensure robustness.ResultsA three-profile model best fits the data, identifying low (55.73%), moderate (32.17%), and severe (12.10%) profiles for compassion fatigue. Generally, an area under the curve (AUC) above 0.700 is acceptable, and above 0.800 indicates good predictive performance. The AUC values for the eight machine learning models ranged from 0.644 to 0.826 for the training set and 0.651 to 0.757 for the test set, indicating moderate to good discriminatory ability. The eXtreme Gradient Boosting (XGBoost) performed best, with AUC values of 0.840, 0.768, and 0.731 in the training, validation, and test sets, respectively. Shapley Additive Explanation (SHAP) analysis interpreted the model by quantifying the contribution of each variable to the prediction, revealing that psychological resilience, professional identity, and social support were the key contributors to the risk of compassion fatigue. A user-friendly, web-based prediction tool for calculating the risk of compassion fatigue was developed.ConclusionsThe XGBoosting classifier demonstrates excellent performance, and implementing the online tool can help nursing administrators manage compassion fatigue effectively. It holds practical value for nursing education and practice by supporting early detection and intervention. Future research should validate its use across settings, and longitudinal studies could assess its long-term impact.
Project description:BackgroundEmpathy is one of the therapeutic communication techniques used to help the client feel better. However, there are a few studies have investigated level of empathy among enrollers at nursing colleges. The aim was to examine the level of self-reported empathy among nursing interns.MethodsThe study was a descriptive, cross-sectional in nature. A total of 135 nursing interns fill in the Interpersonal Reactivity Index from August to October 2022. Data was analyzed through the SPSS program. An independent -sample t-test and one way- ANOVA was used to explore differences in the degree of empathy with respect to academic and sociodemographic factors.ResultsThe results of this study showed that nursing interns showed a mean level of empathy of 67.46 (SD = 18.86). This result indicated that the nursing interns have moderate levels of empathy overall. There was statistical significant difference in the mean level of subscales of perspective-taking and empathic concern between males and females. Additionally, nursing interns who are less than 23 years old scored high in the subscale of perspective-taking. Married nursing interns and who preferred nursing as a profession scored higher in the subscale of empathic concern than unmarried ones and who did not preferred nursing as a profession.ConclusionPerspective taking incresed with younger male nursing interns, this reflects high cognitive flexibility with younger age nursing interns. Morover, the empathic concern incresed with male married nuring interns who preferred nursing as a profession. This implies that they should engage in continuous reflection and educational activities as part of their clinical training as nursing interns in order to improve their empathic attitudes.
Project description:AimThe study aimed to describe and explain the self-assessed gerontological nursing competence levels of Finnish nursing students and factors relating to it.DesignA cross-sectional study design, reported by The Strengthening the Reporting of Observational studies in Epidemiology guidelines.MethodsData were collected with the GeroNursingCom instrument, which features 53 items relating to 11 competence factors. The K-clustering technique and the Chi-squared, Kruskal-Wallis and Mann Whitney tests were used to analyse the data.ResultsSeven hundred and ninety-nine nursing students from nine randomly selected higher education institutions were invited to participate in 2019. Three distinct student profiles were identified according to the data (N = 274): Profile A-lower intermediate competence (23.1% of students), Profile B-intermediate competence (45.8%) and Profile C-high competence (31.1%). The strongest competence area for all students was appreciative encounter and interaction, and the weakest was supporting the older person's sexuality. Nursing students have diverse backgrounds and their overall competence in gerontological nursing is shaped in part by their previous education, motivations and work experience.Relevance to clinical practiceRecognizing students' different gerontological nursing competence profiles enables the implementation of targeted education to improve competence in clinical practice.
Project description:AimsThis study aimed to investigate the current state of nursing interns' spiritual care competency (SCC) and its relationship with their spiritual health.BackgroundSpiritual care is a vitally important component of holistic nursing. Understanding the spiritual care competency of nursing interns can help nursing managers and educators identify weaknesses in spiritual care practices, develop intervention measures to enhance SCC, and improve the quality of nursing services. However, the relationship between spiritual health and SCC among nursing interns remains unclear.MethodsA total of 361 nursing interns were recruited from three general hospitals. An online questionnaire assessed nursing interns' sociodemographic characteristics, spiritual care competency, and spiritual health. Statistical analyses included Pearson's correlation analysis, T-test, analysis of variance (ANOVA), and multiple stepwise linear regression analysis.ResultsThe average spiritual care competency score among nursing interns was 107.24 ± 21.67 out of a possible 135, indicating a medium-high level of competency. Spiritual care competency was positively correlated with spiritual health (P < 0.01). The multiple stepwise linear regression model (n = 361) had an explained variance (R2 = 0.300), showing that spiritual health and the manner of receiving spiritual training were the main factors influencing the interns' spiritual care competency (P < 0.001).ConclusionThe findings suggest that improving the spiritual health of nursing interns can enhance their spiritual care competency.
Project description:BackgroundMany health care professionals emphasize that spirituality is an important factor in overall health. Although spiritual practices are vital to health, spirituality has received little emphasis in nursing. Hence, the study's purpose has been to evaluate the current state of spiritual care competence and the factors that influence it among nurses in Southwest Ethiopia.MethodsFrom July 1 to 20, 2021, nurses at five hospitals in southwest Ethiopia were enrolled in a facility-based cross-sectional study. The study subjects were chosen using a systematic random sampling. A self-administered questionnaire was undertaken to gather the data. Epi Data 3.1 was used to code the dataset, and SPSS version 25 was used for analysis. To identify factors associated with spiritual care competence, researchers performed bivariate and multivariable linear regression analyses. The significance level was set at p<0.05.ResultsThree hundred sixty-seven nurses attended in the study, giving a 91.06, percent rate of response. The mean spiritual care competence score among healthcare professionals was 3.14±0.74. Age (p<0.05), and training in spiritual care (p<0.05) were significantly associated with spiritual care competence.ConclusionsSpiritual care competence was moderate among the nurses. Spiritual care competence varies in accordance with a number of factors, including age, and training in spiritual care. Nurses are better suited to focus on the spiritual health of clients, which necessitates the provision of spiritual care competence training for nurses.
Project description:IntroductionThe Royal Monarchy in Saudi Arabia decreed that all sectors of the workforce would be subject to a policy of "Saudisation" to reduce the reliance on the expatriate workforce and to reduce the unemployment rate of Saudi nationals (Al-Mahmoud et al., 2012).MethodologyA cross-sectional design was chosen to investigate the research questions. The population of this study comprised Saudi Registered Nurses working in MOH hospitals in Riyadh which is the main health care provider in Saudi Arabia (Aboul-Enein, 2002; MOH, 2009).Results and findingsA total number of 1,198 questionnaires were distributed and 61.2% (n = 741) were returned. The findings of the study showed that the questionnaires were collected from an equal portion of the study locale and that a sample of 741 is enough to create a strong conclusion and answer the problem set in this study and all the questions in the study have been provided with answers with enough data and literatures to supports its findings.Conclusion and recommendationsThe results indicate that an increase in the recruitment of Saudi males may simply reflect cultural issues such as gender specific facilities and the Saudisation program's nondiscriminatory approach to employment of both genders into nursing.
Project description:BackgroundTransition shock is prevalent among nursing interns. Future time perspective helps nursing interns learn and work more effectively and improve their problem-solving skills. Professional self-concept and professional identity play an important central and driving role in nursing interns' career choices and career development. However, the mechanism by which future time perspective, professional self-concept and professional identity are linked to transition shock among nursing interns remains unknown.ObjectivesWe assess the degree of transition shock experienced by nursing interns and investigate the connections among transition shock, future-focused viewpoint, professional identity, and professional self-concept.DesignA descriptive, cross-sectional design was conducted.SettingEight hospitals in Hunan Province, China were included in the study.ParticipantsNursing interns at the studied hospital participated in the study.MethodsA total of 1090 nursing interns [929 female, 161 male] were recruited from eight hospitals. Data on transition shock, future time perspective, professional self-concept and professional identity among nursing interns were collected using questionnaires from 30 May to June 15, 2022.ResultsOn a 4-point rating scale, the participants' felt transition shock had a mean overall score of 2.39 (SD = 0.52). The dimension with the highest score was overwhelming workload (mean = 2.74, SD = 0.58), while the dimension with the lowest score was incongruity between work and personal life (mean = 2.16, SD = 0.70).Professional identity was statistically significantly correlated with transition shock (r = -0.198, p < 0.01). The preferred level of nursing (β = 0.354, p < 00.01), professional self-concept (β = 0.226, p < 00.01), professional identity (β = -0.2576, p < 00.01) and future time perspective (β = 0.119, p < 00.01) were predictors of transition shock.ConclusionsThe development of nursing interns' sense of professional identity and future time perspective should be enhanced during both the education phase and clinical placement to help nursing interns overcome the experience of transition shock.
Project description:BackgroundSleep quality is related to physical and mental health. Though bedtime procrastination has been identified as a potentially key source of poor sleep quality, related research is scarce. The goal of our study was to determine bedtime procrastination among nursing students and identify its influencing factors.MethodsThis cross-sectional study comprised 1827 junior college nursing students. The data were collected from November to December 2021 using a mobile app-based survey. We evaluated demographic factors, Big Five personality traits, self-regulatory fatigue, future time perspective, and problematic mobile phone use. Multiple linear regression analysis was used to identify independent characteristics that influence bedtime procrastination among junior college nursing students.ResultsThe mean bedtime procrastination score in junior college nursing students was 25.11 ± 6.88. Family monthly income of 3000-6000 RMB (β = 0.740; p = 0.015), as well as that of > 6000 RMB (β = 1.708; p = 0.001), and an extroverted personality (β = 0.225; p = 0.001), self-regulatory fatigue (β = 0.135; p < 0.001), and problematic mobile phone use (β = 0.078; p < 0.001) had significant positive effects on bedtime procrastination. Conscientious personality (β = - 0.284; p = 0.003), neurotic personality (β = - 0.203; p = 0.031), and future time perspective (β = - 0.141; p < 0.001) had significant negative effects on bedtime procrastination.ConclusionThe nursing students who participated in this study had moderate levels of bedtime procrastination. Bedtime procrastination was predicted by higher monthly household income; personality traits of extroversion, conscientiousness, and neuroticism; self-regulatory fatigue; future time perspective; and problematic mobile phone use.Practical implicationsWe recommend that effective measures are needed to help alleviate bedtime procrastination and improve the health and well-being of nursing students.