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.

The first case of coronavirus disease 2019 (COVID-19) in Saudi Arabia was reported on 2 March 2020. Since then, it has progressed rapidly and the number of cases has grown exponentially, reaching 788,294 cases on 22 June 2022. Accurately analyzing and predicting the spread of new COVID-19 cases is critical to develop a framework for universal pandemic preparedness as well as mitigating the disease’s spread. To this end, the main aim of this paper is first to analyze the historical data of the disease gathered from 2 March 2020 to 20 June 2022 and second to use the collected data for forecasting the trajectory of COVID-19 in order to construct robust and accurate models. To the best of our knowledge, this study is the first that analyzes the outbreak of COVID-19 in Saudi Arabia for a long period (more than two years). To achieve this study aim, two techniques from the data analytics field, namely the auto-regressive integrated moving average (ARIMA) statistical technique and Prophet Facebook machine learning technique were investigated for predicting daily new infections, recoveries and deaths. Based on forecasting performance metrics, both models were found to be accurate and robust in forecasting the time series of COVID-19 in Saudi Arabia for the considered period (the coefficient of determination for example was in all cases more than 0.96) with a small superiority of the ARIMA model in terms of the forecasting ability and of Prophet in terms of simplicity and a few hyper-parameters. The findings of this study have yielded a realistic picture of the disease direction and provide useful insights for decision makers so as to be prepared for the future evolution of the pandemic. In addition, the results of this study have shown positive healthcare implications of the Saudi experience in fighting the disease and the relative efficiency of the taken measures.

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.