Nursing leadership is critical in facilitating and improving nurse performance, which is essential for providing quality care and ensuring patient safety. The aim of this study is to explore the relationship between nursing leadership and nurse performance by understanding the leadership behaviors and factors that motivate nurses to perform well. To study the factors that nurses believe motivate them to perform better, a systematic review was undertaken, correlating these factors to leadership behaviors/styles. The PRISMA guidelines were followed to identify relevant articles. After applying the selection criteria, 11 articles were included in the final analysis. Overall, 51 elements that influence nurses’ motivation to perform better were found and categorized into 6 categories, including autonomy, competencies, relatedness, individual nursing characteristics, relationships and support, and leadership styles/practices. It has been discovered that both direct and indirect nursing leadership behaviors affect nurses’ performance. A better understanding of the factors that motivate nurses to perform well and facilitating them in the work environment through leadership behaviors/styles can improve nurses’ performance. There is a need to increase research on nurse leadership and nurses’ performance in the current innovative and technologically integrated work environment to identify new factors of influence.

Aims: To examine predictive factors affecting stress among nurses providing care at COVID‐19 Isolation Hospitals at Egypt.Methods: A cross‐sectional study conducted in five Isolation governmental hospitals for COVID‐19. 374 nurses included at the study. Characteristic forms, factors affecting nurses’ stress and Nursing Stress Scale (NSS) were used to collect data.Results: (52.1%) of studied nurses had moderate level of total nursing stress scale. Also, (26.2%) of them had severe level, while (13.4% & 8.3%) of them had mild and normal level, respectively. Mean SD score of studied nurses regarding to total nursing stress scale was 99.47 ± 10.671.Conclusions: Training for COVID‐19, availability of PPE, educational level and attention of hospital administration were negative predictor factors for nurses’ stress, while having children, people showed that COVID‐19 is stigma, fears of infection, workplace, fear of transmission infection for family and nurse to patient ratio were positive predictors.

Background: Artificial intelligence (AI) is significantly transforming the nursing profession, enhancing patient care, and shaping future nursing practice. Understanding nursing students’ attitudes toward AI applications is crucial for its effective integration into clinical practice and education. Aim: To evaluate nursing students’ attitudes toward AI in Palestine. Methods: A cross-sectional design was conducted among 325 nursing students. Due to logistical constraints, data were gathered via online surveys using the AI attitude scale. The research was conducted between February and March 2024 at Arab American University in Palestine. Results: The results showed that the average attitudes toward using AI in nursing practice scores (M = 61.81; SD = 9.74) were significantly greater than the neutral score ( p = .001). Nursing students have a positive attitude toward AI in terms of benefits and willingness to use it in nursing practice. However, nursing students have a neutral attitude toward the practical advantages of AI and exhibit a negative attitude toward the dangers of AI in nursing. Furthermore, gender, academic year, and purpose of AI had statistically significant differences in nursing students’ attitudes toward AI ( p = .034, .039, and 0.042 respectively). Female students showed higher levels of attitudes toward AI usage, while participants with master's degree participants had the lowest level of attitudes toward AI. Conclusion: Our findings demonstrate that nursing students have a positive attitude toward the integration of AI into nursing and healthcare practice, along with significant intentions to utilize the technology. The results highlight the need for AI-focused training within nursing curricula.

Background: The rapid advancements in artificial intelligence (AI) technologies across various sectors, including health care, necessitate the need for a comprehensive understanding of their applications. Specifically, the acceptance and readiness of nursing students as future health care professionals to adopt AI-based health care technologies, along with the factors influencing these attitudes, are critical for facilitating the effective integration of AI in health care settings. Objective: This study aimed to assess the readiness and acceptance of nursing students regarding the use of AI-based health care technologies in the nursing skills training in Saudi Arabia. Methods: A descriptive cross-sectional research design was used. A convenience sampling technique was applied to recruit 322 participants. Data were collected between June and September 2023 using a self-administered questionnaire that included the technology readiness index (TRI) and the technology acceptance scale. Results: Approximately 92.2% (297/322) of participants exhibited positive attitudes toward AI, and 74.8% (322) demonstrated innovativeness, indicating a generally favorable perception of AI. However, more than half of the students (59% [190/322] and 59.3% [191/322], respectively) reported feelings of discomfort and negative perceptions regarding AI use. Regarding TRI, 69.6% (224/322) of participants showed moderate readiness, while 30.4% (98/322) exhibited a high level of TRI. A substantial majority (320/322 99.4%) expressed acceptance of AI-based technologies in their training, with only 0.6% (2/322) reporting nonacceptance. Older students (aged >22 y) exhibited significantly higher levels of AI acceptance and readiness compared to younger students (P<.001). In addition, female students demonstrated significantly greater readiness and acceptance levels than male students (P=.003). Further, third-level students reported the highest mean scores in both acceptance and readiness (66.77 and 16.69, respectively; P=.002), while first-level students had the lowest (60.59 and 15.15). Among course groups, students enrolled in Maternal and Child Health Nursing reported the highest mean scores (65.19 and 16.30), whereas those in Community Health Nursing reported the lowest (57.50 and 14.38; P<.001). Conclusions: The findings indicate that nursing students demonstrated a generally positive level of readiness and acceptance toward the use of AI and related technologies in education and training. However, these levels remained moderate overall, highlighting the need to enhance awareness and deepen students’ understanding of AI’s potential to improve training effectiveness and health care quality.

BackgroundIntubated patients experience an intensified need to communicate while their ability to do so is compromised as the endotracheal tube prevents speech which creates patient agitation.AimTo determine the impact of using augmented alternative communication methods on outcome of intubated COPD patients.Patients and methodsSixty male COPD intubated patients at the pulmonary critical care unit Mansoura University hospital were randomly assigned into two groups of 30 patients for each. The control group involved patients receiving the routine nursing communication practices while the study group involved patients who utilized modified communication board and paper/pen as an augmented alternative communication methods. Unconscious patients, visual and/or hearing impairment were excluded. Patient satisfaction questionnaire (PSQ), Patient Communication level, duration of intubation and mortality were adopted as endpoints.ResultsBased on PSQ, 10% in the study group were very dissatisfied compared to 53.33% in the control group the difference was statistically significant. On the other hand, 40% in the study group were very satisfied compared to 6.66% in the control which was a statistically significant increase p<0.001. However, the mortality did not differ significantly in both groups 16.66% in the control group compared to 13.33% in the study group.ConclusionAlternative communication methods can improve the level of satisfaction and decrease distress but it did not change mortality in intubated COPD patients