Nursing students often encounter high levels of stress through clinical practice that may cause psychological or emotional problems during their professional life eventually affecting the quality of patient care they provide. The aims of the current study were to identify the level and types of stress perceived by nursing students in their clinical practice and to identify the coping strategies that students used to relieve their stress. A descriptive, cross‐sectional design was used in this study. A total of 200 students who were enrolled in the nursing program were taken as study respondents. Research data were collected using the Perceived Stress Scale (PSS) and the Coping Behavior Inventory (CBI). Data was analyzed using one‐way ANOVA test, Pearson’s test, and independent sample t‐test on SPSS version 22. Findings indicated that nursing students experienced a high level of stress. The most common coping strategy utilized by the students was problem solving, while avoidance was the least frequently used one. Saudi nursing students experienced stress levels above the mean in clinical training. The most common stressors were related to assignments and workload. The study recommends that clinical curriculum requirements and the workload of nursing students should be reviewed.

Background: A continuous and high frequency of alarms from monitoring and treatment devices can lead to nurses’ sensory exhaustion and alarm fatigue in critical care settings. Aim: The purpose of this study was to evaluate the level of alarm fatigue and determine the relationship between nurses’ sociodemographic and work-related factors and the level of alarm fatigue in critical care settings in Hail City, Saudi Arabia. Methods: Between May and July 2023, 298 nurses who worked in the emergency, intensive care, and critical care units of all the public hospitals in Hail City participated in a cross-sectional survey. Sociodemographic and work-related sheet and the Nurses’ Alarm Fatigue Questionnaire were used to collect data. Results: The total mean score of alarm fatigue was 26.38± 8.30 out of 44. The highest score was observed for the item “I pay more attention to the alarms in certain”, while the lowest score were observed for the items “I turn off the alarms at the beginning of every shift” with mean scores of 2.51 and 1.61, respectively. Nurses who were males, older than 30 years and Saudi citizens had significantly higher mean scores of alarm fatigue than their counterparts. In addition, significantly higher mean scores of alarm fatigue were noticed for nurses experienced for 10 years or more and who had regular morning shifts. Multiple linear regression showed that male (p=0.014), age (p=0.012), and Saudi nationality (p < 0.029) were the independent factors affecting the level of fatigue alarm among nurses. Conclusion: Nurses working in critical care settings at hospitals in Hail city are exposed to average levels of alarm fatigue, which can be influenced by sex, age, nationality, and experience of nurses. Therefore, it is imperative to manage alarm fatigue in critical care units by considering work-related and personality-related factors to ensure patient safety.

Successful implementation of Basic life support (BLS) is critical to improving survival rates and outcomes, especially among healthcare workers. To our knowledge, there is no available literature pertaining to the level of BLS knowledge of health care professionals in Yemen. Data was collected for this cross-sectional descriptive study from June to August 2020, using a 10-item questionnaire related to cardiopulmonary resuscitation (CPR) and BLS, along with questions on socio-demographic characteristics. Participants were nurses in public and private hospitals located in Al-Rahida and Al-dimna cities, Taiz governance and Hodeidah city, Hodeidah governance in Yemen. Out of 220 distributed questionnaires, 200 were returned with a response rate of 90.9%. More than a half (53.65%) of answer choices for BLS knowledge were correct. There was a significant difference in knowledge score based on level of education where those who had Bachelor degree had more knowledge (P = 0.000). Those who said they had received training in CPR or received information about CPR had significantly higher scores than those who did not receive (P = 0.000). BLS knowledge among nurses in Yemen is below an acceptable level to ensure maximum survival in the event of cardiac arrest. Disseminating BLS information and training in a cost effective and efficient manner will provide a large benefit in terms of lives saved with minimal costs.

Introduction: Artificial intelligence (AI) is transforming healthcare, with benefits such as personalized treatment and efficient diagnosis; however, it also comes with challenges such as data protection and ethical concerns. Aim: This study examined nurse leaders’ perceptions of AI's impact on their professional roles and their level of preparedness for AI integration. Methods: This descriptive correlational study was conducted at various hospitals in Hail City, Saudi Arabia. The Shinners Artificial Intelligence Perception tool was used to evaluate 155 nurse leaders’ perceptions of AI and their readiness for its adoption. Results: The SHAIP tool, previously validated in international studies, was further adapted and validated for this context using confirmatory factor analysis and reliability testing, ensuring robust measurement of nurse leaders’ perceptions and preparedness regarding AI. Nurse leaders showed a positive perception of AI's impact on their roles (mean score = 3.72), but lower perceived preparedness (mean score = 3.32). Education level (where holders of a Bachelor of Science in Nursing showed lower perceptions, with a coefficient of −0.66, p = .006) and department significantly influenced their perceptions of AI. No significant predictors of preparedness for AI were identified. Further, there was no correlation between the perceived AI impact and preparedness. Conclusion: Although nurse leaders recognize AI's potential in healthcare, there is a gap between their perceptions and preparedness. Tailored education and training programs are required to enhance the integration of AI into nursing leadership and practice.

Background: The 2019 outbreak of coronavirus disease (COVID-19) is an worldwide health emergency that threatens mental health of general public. Research data are required to establish evidence-based approaches to alleviate the symptoms of anxiety during the outbreak. This study aimed to survey the general public in Saudi Arabia to help in understanding their levels of anxiety during the COVID-19 outbreak. Methods: The researchers performed an on-line survey using snowball sampling methods from April 1 through April 10, 2020. The online survey collected demographics information data, while the Social Anxiety Questionnaire for Adults (SAQ-A30) was used to measure anxiety level. Results: This study consisted of 709 respondents from different regions of Saudi Arabia. The general population reported mild to moderate rates of anxiety. Married respondents were associated with a significantly higher level of anxiety (p<0.05). Conclusions: The respondents reported mild to moderate anxiety during the outbreak of COVID-19 in Saudi Arabia. Implication for practice: The results of this study identify the implications to lower levels of anxiety that may be used during the COVID-19 outbreak to develop mental health support programs to improve the mental health of vulnerable groups.