This study estimated the prevalence of burnout and its determinants among medical students at Jazan University during the COVID-19 pandemic. A total of 444 medical students completed an online survey containing the Maslach burnout inventory. The prevalence of burnout was 54.5%. Burnout reached its peak during the fourth year whereas it was the lowest in the internship year. Being a resident in mountain areas, being delayed in college-level, being divorced, and having divorced parents were all associated with an increased risk of burnout. During their time at medical school, students generally showed a trend of consistently high scores in the personal accomplishment subscale, a decreasing trend in the emotional exhaustion subscale, and an increasing trend in the depersonalization subscale. The most important predictive factor was having separated parents. Perceived study satisfaction appeared to be a significant protective factor in a dose–response manner. These findings suggest that burnout among medical students during the COVID-19 pandemic is a concern that should be monitored and prevented.

Aim: The study aimed to assess the incidence of needlestick and sharps injuries among healthcare workers (HCWs) in the Jazan region of Saudi Arabia, as well as to determine whether there exists an association between hospital level and needlestick and sharps injuries rate.Design: A cross‐sectional survey was conducted among 609 randomly selected HCWs from nine general hospitals.Methods: A self‐administered questionnaire, which covered the structure and process of injection safety, was used for data collection.Results: The overall needlestick and sharps injuries incidence rate was 24%. The needlestick and sharps injuries rates were 30% and 14% in secondary and tertiary hospitals, respectively. HCWs working in tertiary hospitals were 61% less likely to have needlestick and sharps injuries than those employed in secondary hospitals. This was mainly the impact of better and continuous training. High safety level maintenance and health education provision are vital in such settings.

Background and Objectives: Primary headaches are highly prevalent among medical students, negatively impacting their health and academic performance. Excessive electronic device use has been implicated as a risk factor, in contrast to physical activity, which may be a protective factor; however, comprehensive data are lacking, especially for Saudi medical trainees. This study aims to investigate the associations between device use, exercise, and headaches among Saudi medical students. Materials and Methods: In this cross-sectional study, 504 medical students at Jazan University completed an online survey collecting sociodemographic factors, headache characteristics/triggers, electronic device habits, exercise frequency, and headache impacts. Descriptive analyses summarized sample characteristics. Logistic regression identified predictors of 12-month headache prevalence. Results: Overall, 83% reported experiencing headaches in the past year. High headache prevalence was observed among females (86.6%) and third-year students (88.3%). Using electronic devices ≥4 h daily was associated with higher adjusted odds of headaches (OR 13.89, 95% CI 1.96–98.54) compared to ≤1 h daily. Low physical activity (exercising 1 day vs. 7 days a week) also increased headache odds (OR 3.89, 95% CI 1.61–9.42). Headaches impairing productivity (OR 4.39, 95% CI 2.28–8.45) and exacerbated by exercise (OR 10.37, 95% CI 2.02–53.35) were further associated with headache susceptibility. Conclusions: Excessive electronic device use and physical inactivity appear to be modifiable risk factors for frequent headaches in Saudi medical students. Multifaceted interventions incorporating education campaigns, skills training, and support services focused on promoting responsible technology habits, and regular exercise may help mitigate headaches in this population. Robust longitudinal studies and trials are warranted to establish causal mechanisms between lifestyle factors and headaches among medical undergraduates.

Background: Adherence to behavioral respiratory hygiene practices is essential in preventing the transmission of COVID-19, especially given the appearance of new variants of the COVID-19 virus. This study estimated the pre- and post-vaccination levels of adherence to COVID-19 preventive behavioral measures among vaccinated people. Methods: This cross-sectional study assessed the sociodemographics and preventive behavioral measures, and pre- and post-vaccination data, via a questionnaire. Paired t-tests and Chi-squared tests were used to assess the variation in adherence levels. Results: Of the 480 participants, 57.9% were male, and 30.4% were aged between 30 and 39 years of age. After vaccination, there was a statistically significant decline in adherence to all the assessed behavioral protective measures (p < 0.05). Being 50 years old or older, female, a healthcare worker, and a smoker were associated with higher adherence levels compared with other groups in the same categories. Conclusions: A change in the behavior of the community members regarding COVID-19 after receiving the vaccination and a reduction in adherence to respiratory hygiene practices was observed. This indicates the importance of raising awareness about the possibility of reinfection with COVID-19 despite the vaccination, and the importance of behavioral respiratory hygiene for the prevention and control of COVID-19.

Background: Mental illness affects an estimated 25% of the global population, with treatment gaps persisting worldwide. The COVID-19 pandemic has exacerbated these challenges, leading to a significant increase in mental health issues globally. In Saudi Arabia, the lifetime prevalence of mental disorders is estimated at 34.2%, yet 86.1% of those with a 12-month mental disorder report no service use. To address these challenges, digital health solutions, particularly electronic referral (e-referral) systems, have emerged as powerful tools to improve care coordination and access. Saudi Arabia has pioneered the nationwide Saudi Medical Appointments and Referrals Centre (SMARC), a centralized e-referral system using artificial intelligence and predictive analytics. Objectives: This study aims to analyze Saudi Arabia’s novel nationwide e-referral system for mental health services, using SMARC platform data to examine referral patterns, and service accessibility. This study also aims to demonstrate how digital health technology can inform and improve mental health care delivery and policy making. Methods: This retrospective, cross-sectional study used secondary data from SMARC on 10,033 psychiatric e-referrals in Saudi Arabia during 2020‐2021. Referrals were assessed by patient sociodemographic variables, geographic data, and e-referral characteristics including date, type, bed type, and reason for e-referral. Descriptive statistical analyses identified referral patterns, while regression modeling determined predictors of external referrals to other regions. Results: Analysis of 10,033 psychiatric e-referrals revealed that 58.99% (n=5918) were for patients aged 18‐44 years, 63.93% (n=6414) were for men, and 87.10% (n=8739) were for Saudi nationals. The Western Business Unit generated 45.17% (n=4532) of all e-referral requests. Emergency cases were the most common type of referral overall, followed by routine inpatient and routine outpatient department referrals. However, in the Northern Business Unit, routine inpatient referrals were most frequent. Two-thirds of requests were for ward beds, while critical beds were rarely requested. “Unavailable subspecialty” was the primary reason for referrals across all regions. The utilization of the mental health e-referral system varied across regions, with the Northern Border and Albaha regions showing the highest rates, while Madinah, Eastern, and Riyadh regions demonstrated lower use. Temporal analysis showed almost similar monthly patterns in 2020 and 2021. There was an overall increase in referrals in 2021 compared with 2020. Conclusions: This pioneering study of mental health e-referrals in Saudi Arabia demonstrates how digital health transformation, particularly through an e-referral system, has significantly enhanced access to mental health services nationwide in Saudi Arabia. The success of this digital initiative demonstrates how digital health solutions can transform health care access, particularly in mental health services, offering a valuable model for other health care systems.

The coronavirus disease 2019 (COVID-19) has impacted the Kingdom of Saudi Arabia (KSA) as it has other nations. However, length of stay (LOS), as a healthcare quality indicator, has not been examined across the healthcare regions in the KSA. Therefore, this study aimed to examine factors associated with LOS to better understand the Saudi Health System's performance in response to the COVID-19 pandemic in the newly suggested five Saudi regional business units (BUs). A retrospective study was conducted using Ministry of Health (MOH) data on hospital LOS during the period from March to mid-July 2020. Participants were adult inpatients (18 years or older) with confirmed COVID-19 (n = 1743 patients). The 13 regions of the KSA were united into the defined five regional BUs during the reorganization of the health system. Covariates included demographics such as age and sex, comorbidities, and complications of COVID-19. A multiple linear regression with stepwise forward selection was used to model LOS for other explanatory variables associated with LOS, including demographic, comorbidities, and complications. The mean LOS was 11.85 days which differed significantly across the BUs, ranging from 9.3 days to 13.3 days (p value < 0.001). BUs differed significantly in LOS for transferred patients but not for patients in the intensive care unit (ICU) or those who died in-hospital. The multiple regression analysis revealed that the LOS for inpatients admitted in the Eastern and Southern BUs was significantly shorter than for those in the Central BU. (p value < 0.001). Admission to the ICU was associated with lengthier stays (p value < 0.0001). Factors significantly associated with shorter stays (compared to the reference), were being Saudi, death during admission, and patients referred to another hospital (p value < 0.05). The LOS for patients with COVID-19 differed across the proposed regional healthcare BUs, suggesting regional differences in quality of care under the reorganization of the national health system. Since patient and disease characteristics did not explain these findings, differences in staffing and other resources need to be examined to develop interventions.