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 < 0.001) was found to have a significant relationship with resilience. Sex (t = 5.22; p < 0.001), ward assignment (t = 5.22; p < 0.001), age (F = 6.67; p < 0.001), and years of experience (F = 6.67; p < 0.001) revealed significant relationships with emotional intelligence. Resilience had a moderate positive relationship with EI (r = 0.55; p < 0.023), a weak positive relationship with self-emotion (r = 0.21; p < 0.003), and a very strong relationship with emotional appraisal (r = 0.85; p < 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.

In a changing context, the use of knowledge management (KM) generates value and a long-lasting competitive advantage. As a critical issue for societal development, sustainable organisations must consider the relationship between KM and healthcare. They must investigate how knowledge is created and identify potential predictors of knowledge-sharing behaviour to support a hospital’s long-term knowledge-management strategy. Managers could benefit from KM strategies to improve the performance of hospitals and other healthcare organisations. This study aimed to determine the knowledge management and sustainability performance of a hospital organisation based on the perspective of the healthcare managers. A cross-sectional research approach was employed involving the healthcare managers of a government-subsidised hospital in the Hail Region of Saudi Arabia. The study was conducted between September and October 2022. The results demonstrated that knowledge management was commendable (4.41 ± 0.470) and had high sustainability performance (4.28 ± 0.558). Predictors for knowledge management included gender (B = 0.201; p = 0.002), managerial position (B = 0.285; p < 0.000), years of experiences as manager (B = 0.319; p < 0.000) and educational attainment (B = 0.092; p = 0.003). The predictors for sustainability were gender (B = 0.023; p < 0.000), managerial position (B = 0.352; p < 0.000) and years of experience as a manager (B = 0.0648; p < 0000). The study found that knowledge management was a predictive factor in sustainability regarding economic (B = 0.735; p < 0.000), social (B = 1.028; p < 0.000), environmental (B = 0.774; p < 0.000), technical (B = 0.751; p < 0.000) and governance (B = 0.526; p < 0.000), while knowledge management had a strong correlation to sustainability performance (R = 0.663; p < 0.000). Therefore, knowledge management for learning should be consistently created and shared to keep members involved in the core of operations. When knowledge is put into practice, it can help an organisation innovate, sustain better performance and guarantee long-term success. These study findings may additionally persuade workers to put more effort into knowledge management.

Previous studies have revealed various factors related to nurses’ resilience and predictors of resilience. However, there are no studies analysing the association of three variables—mental well-being, coping strategies, and stress—with resilience. This study aims to assess the impact of mental well-being, levels of stress, and coping strategies on resilience using path analysis. This study used a cross-sectional approach that involved 763 nurses from 16 major hospitals in the eastern and northern regions of Saudi Arabia during the COVID-19 pandemic. The data gathering was conducted from August to November 2022. The staff nurses possessed positive mental wellness (3.75 ± 1.08), moderate stress levels (3.06 ± 1.21), adequate coping skills (3.33 ± 1.23), and a low level of resilience (2.90 ± 1.040). Age had a small effect on resilience (β = 0.040; p < 0.001) but work experience (β = −0.019; p > 0.139) and marital status (β = 0.019; p > 0.072) were not significant. Conversely, mental well-being (β = 0.043; p < 0.001) and stress (β = −0.089; p < 0.001) had a small effect on resilience, but coping strategies (β = 0.561; p < 0.001) had a large effect on resilience. Therefore, coping strategies must be reinforced at all times to assist nurses and other healthcare professionals in identifying contributing elements that maintain these workers’ resilience in the face of unforeseen and protracted pandemics and other life events.

Background and aim: Because they are unaware of the potential adverse effects of medications, people frequently self-medicate as a form of self-care. This study aimed to investigate the factors associated with health literacy and the propensity to self-medicate among the primary healthcare clientele of the city of Hail, Saudi Arabia. Methods: This research employed a cross-sectional approach with the participation of 383 primary health center clientele of the Hail Region of Saudi Arabia. Participation was enacted via convenience sampling from December 2022 to February 2023. The data were collected using a self-administered questionnaire. The investigation utilized descriptive statistics as well as multiple linear regression and correlation for the data analysis. Results: Participants who were aged 30 years and above, single, had a college degree, were non-Saudi, had a white-collar occupation and received information from the internet/Google/YouTube had a significant relationship (p < 0.05) with health literacy. On the self-medication scale (SMS), there were significant relationships with age, marital status, educational level and occupation (p < 0.05). The nationality and source of information factors related to health had a positively significant effect on health literacy (p < 0.01), while middle age (24–29 years) had a positive effect on the self-medication scores (p < 0.01). There was a significant positive correlation between the health literacy screening scale (BRIEF) and the self-medication scale (SMS) scores (r = 421, p < 0.001). Conclusion: Age of 30 years old or above, single status, a college degree, non-Saudi status, white-collar occupation and receiving information from the internet/Google/YouTube were all significant for health literacy. There were also significant relationships with the SMS scores for age, marital status, educational level and occupation. The factors affecting health literacy were older participant age, nationality and the source of information regarding health. Conversely, among the participants, being in the middle-aged group (24–29 years) was a factor that affected their self-medication scores. There was a significant positive correlation between the health literacy screening scale (BRIEF) and the self-medication scale (SMS).

Introduction: As they are satisfied with life, nurses who demonstrate spiritual intelligence and well-being at work are tremendous assets to an organisation. This study aimed to determine the mediating effect of spiritual intelligence on the well-being and life satisfaction of nurses in the context of COVID-19. Methods: This research employed a cross-sectional study design. It was conducted in the Hail region of Saudi Arabia. The participants were government hospital nurses who were chosen using a multi-stage sampling method. A total of 1121 (75% response rate) nurses participated in the study. Data gathering was conducted from July to September 2022. Results: The life satisfaction level of the participants was deemed positive. Their well-being was better (10/15), and they rated high in spiritual intelligence (90/120). Life satisfaction had a strong association with well-being (r = 0.640, p < 0.001), but a weak association with spiritual intelligence (r = 0.391, p < 0.001). In comparison, well-being had a moderate association with spiritual intelligence (r = 0.551, p < 0.001). The direct effect of well-being on spiritual intelligence was positive and significant (β = 0.7817, p < 0.0001), and that of spiritual intelligence on life satisfaction was positive and significant (β = 0.1082, p = 0.0257). The direct effect of well-being on life satisfaction was also positive and significant (β = 1.5985, p < 0.0001). Conversely, well-being had an indirect impact on life satisfaction (β = 0.0846), and this effect was significant. Overall, the impact of well-being on life satisfaction was positive and significant (β = 1.6831, p < 0.0001). Conclusion: The nurses in this study were deemed satisfied, to have better well-being, and better spiritual intelligence. Life satisfaction has a strong association with well-being but a weak one with spiritual intelligence, while well-being has a moderate association with spiritual intelligence. Overall, spiritual intelligence was found to have a mediating effect on the relationship between well-being and life satisfaction. These findings suggest that an increase in spiritual growth can serve as the foundation for people to live better and more integrated lives.

It is essential to understand why patients choose to leave the hospital in direct opposition to medical advice. This understanding could help to identify individuals who are at risk of adverse outcomes. In realizing this need, this study aimed to explore the factors contributing to the decision of patients to leave the hospital against medical advice. Materials and Methods: This research employed a descriptive-analytical approach. It was conducted in the city of Hail, Kingdom of Saudi Arabia. The participants were 13 patients who had opted to leave against medical advice from the Emergency Department of the government-subsidized hospitals. The researchers employed both purposive and snowball sampling. In snowball sampling, the researchers used referrals from initial participants to generate additional participants. Moreover, purposive sampling was used to find the individual that would best contribute to addressing the research issue. The data gathering was conducted from April to June 2022. Results: Five themes emerged based on the accounts of the 13 participant patients. These included (1) health literacy, (2) self-diagnosing, (3) unclear explanations regarding their condition, (4) prolonged waiting times, and (5) communication issues. Conclusion: The factors contributing to patients leaving against medical advice resulted in the five themes mentioned above. While interactions between patients and healthcare professionals may be challenging, pertinent health information must still be handed down clearly to patients.