The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence

Background: The concept of addiction in relation to cellphone and smartphone use is not new, with several researchers already having explored this phenomenon. Artificial intelligence has become important in the rapid development of the technology field in recent years. It has a very positive impact on our day-to-day life. Aim: To investigate the relationship between nursing students’ addiction to smart devices and their perceptions of artificial intelligence. Methods: A cross-sectional design was applied. The data were collected from 697 nursing students over three months at the College of Nursing, Princess Nourah bint Abdulrahman University. Results: The correlation test shows a significant correlation between smart device addiction and the artificial intelligence of the respondents (p-value < 0.05). In addition, the majority of the students, 72.7% (507), are moderately addicted to smartphones, 21.8% (152) are highly addicted, and only 5.5% (38) have a low addiction. Meanwhile, 83.6% (583) of them have high levels of perception of artificial intelligence and the rest, 16.4% (114), have a moderate level. Conclusions: The nursing students’ perception of artificial intelligence varies significantly according to their level of addiction to smart device utilization

Measuring Nurses’ and Physicians’ Attitudes and Perceptions of the Appropriate Interventions towards Intimate Partner Violence in Saudi Arabia

Background: Intimate partner violence (IPV) is considered the most common form of violence against women worldwide, concerning public health, safety, and human rights. However, little to no studies in Saudi Arabia have explored the attitude and perception of health care providers working in emergency departments toward IPV. This study aimed to measure the attitude and perception of Emergency Room (ER) health care providers towards the appropriate intervention for IPV. Methods: This is a cross-sectional quantitative study. Data was collected from a convenient sample of nurses (n = 88) and physicians (n = 18) working in ER, using Readiness to Manage Intimate Partner Violence Survey (PREMIS). Data was collected from two hospitals in Riyadh, Saudi Arabia, and descriptive analysis was used to analyze the data. Results: The majority of the respondents were aged 18–40 (n = 106, 78%), while 22% were 41–60 years old, 69% were female, and 31% were male. Eighty-five percent were nurses and 15% were physicians. The majority of the respondents did not have any training on IPV and had gained knowledge or skills mostly during their medical/nursing classroom and clinical training. The analysis revealed that the participants had moderate levels of overall preparedness, knowledge about IPV, and perceived knowledge, with a mean score of 2.30, 18.62, and 2.18, respectively. The respondents had low scores in practice issues in new diagnosis (0.91), current screening (1.69), and actions when IPV is identified (0.91). The perceived preparedness and knowledge have a significant positive correlation, as shown by an r value of 0.8476 and a p-value of <0.05. Conclusion: The study shows that participants stated minimal previous IPV knowledge and training. It is necessary to put in place adequate resources and specific training programs to overcome this issue for both ER nurses and physicians

Resilience and Emotional Intelligence of Staff Nurses during the COVID-19 Pandemic

Although numerous scholars have studied resilience during the COVID-19 pandemic, research exploring its relationship with emotional intelligence is scarce. The aim of this study was to determine the relationship between the resilience and emotional intelligence (EI) of staff nurses during the COVID-19 pandemic. Data for this quantitative correlational study were gathered from the staff nurses of hospitals in the city of Hail, Saudi Arabia. The researchers employed simple random sampling, which yielded 261 staff nurses. Nationality (t = 6.422; p &lt; 0.001) was found to have a significant relationship with resilience. Sex (t = 5.22; p &lt; 0.001), ward assignment (t = 5.22; p &lt; 0.001), age (F = 6.67; p &lt; 0.001), and years of experience (F = 6.67; p &lt; 0.001) revealed significant relationships with emotional intelligence. Resilience had a moderate positive relationship with EI (r = 0.55; p &lt; 0.023), a weak positive relationship with self-emotion (r = 0.21; p &lt; 0.003), and a very strong relationship with emotional appraisal (r = 0.85; p &lt; 0.001). Improving emotional-intelligence skills is critical for assisting nurses during pandemic outbreaks. This can increase their individual and social resilience, while also improving their professional and life outcomes. These research findings suggest that emotional intelligence should be integrated into clinical practice and that EI data should be integrated into decision-making