Social media addiction became a serious concern that has received more attention from the public health sector due to its addictive features and its correlated psychological consequences. Thus, this study aimed to analyze the direct effect of SMA on academic performance, and the indirect effects on psychological reactions among university students in Jordan. A random survey in two universities was conducted in a sample of 510 university students; 31.4% were males and 68.6% were females. Their average age was 21.38 years (SD = 2.12). To test and validate the research model, advanced data analysis (Structural Equation Modelling-Partial Least Squares [SEM-PLS]) was applied in this research. Findings revealed that social media addiction had an indirect effect on academic performance, however; it has a direct impact on students’ stress and anxiety levels. The stress could influence anxiety levels, which could directly affect students’ academic performance. Further, students’ stress levels had a direct effect on anxiety, which could result in depression. Given the importance of social media addiction and its potentially substantive effects on students’ psychological reactions and impact of these reactions on academic performance, similar studies are recommended in other universities various fields to obtain a more conclusive result.

It became necessary to integrate alternative teaching methods having excellent results in the nursing curriculum such as high-fidelity human patient simulation. High fidelity simulation improves nursing students’ thinking, and emotional and decision-making capabilities. The pretest – posttest control group design was conducted to examine the effect of high-fidelity simulation (HFS) intervention on clinical decision-making for pediatric nursing students at the Arab American University in Palestine. One hundred fifty participants took part in the present study, where 50% (n = 75) were in each of the intervention and control groups. The intervention group received theory-based learning and high fidelity simulation, while the control group was provided with theory based learning and usual training in the nursing laboratory. Findings showed that after implementing the intervention, a significant change was noticed in means of clinical decision-making between the control and intervention groups. Therefore, high fidelity simulation intervention was effective, thus it could benefit the nursing students by enhancing clinical decision-making. The results support nursing educators and universities especially in developing countries to adopt such an intervention strategy for nursing students.

Introduction: Clinical training allows nursing students to acquire and strengthen their psychomotor abilities, which is an important component of nursing education. The clinical components of nursing training programs were much more demanding than the academic ones. Purposes: The purpose of this study was to examine sources of stress-related and coping behaviors during first clinical training among nursing students in the Arab American University. Methods: The study was cross-sectional and conducted with a convenience sample of 266 participants of nursing students. Data collection was performed by “Perceived Stress Scale and the Coping Behavior Inventory.” The data were analyzed by using the descriptive, that is, frequency and percentage, mean, and standard deviation. Results: The results revealed that the perceived stress mean was 41.2 ( SD = 19.5). The main stressors were taking care of the patients ( M = 11.4 ± 0.85) and teachers and nursing staff ( M = 8.32 ± 5.3). Coping behaviors mean was ( M = 29.0 ± 15.2). The main coping behavior was problem-solving ( M = 9.5 ± 5.6). Conclusion: The study confirmed that students perceived moderate levels of stress in their first clinical training, and the most common sources of stress were taking care of the patients and teachers and nursing staff. However, the main coping behavior was problem-solving.

This study aimed to examine the relationship between nursing informatics competencies and clinical decision-making by taking into account nurses' individual characteristics and job-related characteristics. A cross-sectional design was used. The cluster random sampling method was adopted to select 14 governmental hospitals in West Bank, Palestine, in which all nurses in these hospitals were invited to participate in this study. Results found that the total mean (SD) score for the nursing informatics competency scale was 2.6 (0.88), which indicates that the nurses had lower nursing informatics competency, and the informatics skills subscale had the lowest mean score (mean [SD], 2.4 [1.00]). Concerning clinical decision-making, the total mean (SD) score was 2.59 (0.38), which indicates that the nurses had lower clinical decision-making. Regarding clinical decision-making subscales, searching for information and unbiased assimilation of new information had the highest mean score (mean [SD], 2.64 [0.39]); on the contrary, the canvassing of objectives and values subscale had the lowest mean score (mean [SD], 2.53 [0.38]). Nursing informatics competency had a positive relationship with clinical decision-making. Thus, it is necessary to enhance nurses' informatics competency, especially informatics skills and clinical decision-making, by developing training programs about this technology directed to nurses.