Assessment of Medical Students Burnout during COVID-19 Pandemic.

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.

Generalized anxiety disorder symptoms during COVID-19 pandemic in Jazan, Saudi Arabia.

The aim of this study was to measure anxiety levels and many co-factors that might influence the levels of anxiety during the COVID-19 outbreak in southern Saudi Arabia (KSA). A cross-sectional self-reporting survey was conducted to determine the level of generalized anxiety disorder (GAD) symptoms related to COVID-19 and quarantining. We selected a convenience sample of eligible participants who had been invited online through social media apps. The survey instrument was distributed, and 981 participants responded. Of the total sample, almost 90% were under the age of 40, 75% were women, and 77% had an educational level beyond high school. Just over half were single, with nearly all participants Saudi nationals. The overall prevalence of anxiety related to COVID-19 was 27%. Factors most strongly related to reporting anxiety included having a diagnosis of COVID-19, spending 1- ≥ 3 h focused on COVID-19, having a previous mental illness history, being a current or former smoker, being female, having a previous diagnosis of chronic or respiratory illness, being below age 40, having a limited standard of living, and being a student. Our study reveals how critical it is to emphasize preventive mental health care during pandemics and what factors may make some individuals most vulnerable to anxiety. Further research is recommended to examine GAD levels pre, during and post pandemic. Additional research to explore the long-term impact of the pandemic on mental health is also needed. being a student, and a limited standard of living.

Hospital Length of Stay and Related Factors for COVID-19 Inpatients Among the Four Southern Regions Under the Proposed Southern Business Unit of Saudi Arabia.

Objective: To assess the length of stay (LoS) variation for COVID-19 inpatients among the four regions of the Southern Business Unit (SBU). Methods: This is a comparative retrospective study of the LoS of COVID-19 inpatients in the four regions of the SBU in the KSA. Data was collected from the Ministry of Health (MoH) in all hospitals in the SBU. Participants were all patients admitted with confirmed COVID-19 between March 2020 and February 2021. Variables included region (variable of interest), demographics, comorbidities, and complications. Multilinear regression was performed to control for any factors that might have had an association with LoS. Results: The mean LoS of the total sample was 10 days and Bisha (the reference) was 7 days. Compared to Bisha, LoS in Jazan was 34% longer, in Najran 62% longer, and Aseer 40% longer. We observed that other factors also had an association with LoS, compared to Bisha, compared to the references, Saudi patients had a 15% shorter stay; admission to ICU increased LoS by 57%; patients who died during hospitalization had a 39% shorter LoS; the complications from COVID-19 of acute kidney injury and ARDS increased LoS by 22% and 48% respectively. Conclusion: After statistically controlling for confounders, this study reveals that LoS was significantly impacted by region in the SBU in the KSA. We recommend that further study be conducted to illuminate the underlying causes of this variation which may be organizational or structural to ensure high quality of care, access to care, and equity of resources throughout all regions of the SBU in accordance with the new Model of Care in Vision 2030.

Characteristics of Hospitalized COVID-19 Patients in the Four Southern Regions Under the Proposed Southern Business Unit of Saudi Arabia.

Background: This is the first descriptive and comparative study conducted of COVID-19 inpatients from multi-centers in the four administrative southern regions and proposed Southern Business Unit (Jazan, Najran, Bisha, and Aseer) of the Kingdom of Saudi Arabia (KSA). Methods: Participants were 809 randomly selected patients admitted to the eight sampled hospitals with confirmed COVID-19 between March 2020 and February 2021. We assessed and compared socio-demographics, clinical characteristics, and clinical outcomes of the four regions. Results: Socio-demographic and clinical characteristics of the participants are a mean age of 60 ± 17.7 years, 70% Saudi male, the prevalence of diabetes (DM2) 58%, hypertension (HTN) 48%, obesity 43%, cardiac diseases 15%, and immunity or cancer diseases almost 1%. The prevalence of complications during admission were bacterial pneumonia 65%, acquired respiratory distress syndrome (ARDS) 32%, sepsis 20%, multi-organ failure 18%, acute kidney diseases 15%, and arrhythmia 4%. Clinical outcomes were: admitted to intensive care unit (ICU) 52%, mortality rate 25%, referred to other facilities 9%, and mean length of stay (LOS) was 11± 9.5 days. We observed statistically significant variation in many variables among the four regions. Najran and Aseer had a higher prevalence of risk factors for severity including age and comorbidities accompanied by higher rates of complications, ICU admissions, LOS, and mortality. Bisha and Jazan had lower prevalence of risk factors and LOS with lower rates of complications, ICU admissions, and mortality. Conclusion: This study reveals that the geographic region in which the patient was cared for was related to the severity and outcome of COVID-19 infection. Policy makers should search for solutions to regional differences in underlying health conditions such as DM2, HTN, and obesity to plan for improvements in preventive care as well as resource distribution to ensure quality for all Saudi citizens. This study will serve as guidance to begin to form strategies for these improvements as envisioned in the future New Model of Care.

Regional Differences in COVID-19 Mortality Rates in the Kingdom of Saudi Arabia: A Simulation of the New Model of Care.

Background This study aimed to assess regional COVID-19 mortality rates and compare the five proposed business units (BUs).  Methods A cross-sectional study was conducted in the Ministry of Health (MOH) hospitals in the Kingdom of Saudi Arabia (KSA). We included 1743 adults (≥ 18 years of age) with COVID-19 admitted to any of 30 MOH hospitals. Results The inpatients had confirmed mild to severe COVID-19 between March and mid-July 2020. The central BU (Riyadh) was used as the reference. MOH electronic health record data were reviewed and utilized, including variables reflecting hospital course (mortality and discharge status). The primary outcome was COVID-19-related inpatient death. Covariates included patient demographics, pre-existing chronic diseases, and COVID-19-related complications. The data were analysed using univariate and multivariate logistic regression. KSA inpatient mortality was 30%. Univariate and multivariate logistic regression analysis suggested that COVID-19-related mortality was significantly higher in the northern and western BUs and significantly lower in the southern and eastern BUs than in the central BU. On controlling for other variables, adjusted odds ratios (AORs) for essential COVID-19 mortality predictors during admission, using the central BU as a reference, were as 9.90 [95% CI, 4.53-21.61] and 1.55 [95% CI, 1.04-2.13] times higher in the northern and western BUs, respectively, and 0.60 [95% CI, 0.36-0.99] and 0.23 [95% CI, 0.14-0.038] times lower in the southern and eastern BUs, respectively. Conclusion The five BUs differed in COVID-19 mortality rates after adjusting for patient and disease characteristics, with the differences consistent with those in the regions comprising the BUs. These outcome differences apparently relate to differences in healthcare resources and quality.

Variations in length of stay of inpatients with COVID-19: A nationwide test of the new model of care under vision 2030 in Saudi Arabia.

OBJECTIVE: 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). METHODS: 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. RESULTS: 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). CONCLUSION: 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.

Regional differences in COVID-19 ICU admission rates in the Kingdom of Saudi Arabia: A simulation of the new model of care under vision 2030.

OBJECTIVE: Saudi Arabia has succeeded in having one of the lowest rates of COVID-19 worldwide due to the government's initiatives in taking swift action to control both the spread and severity of the virus. However, Covid-19 can serve as a test case of the expected response of the new healthcare system under Vision 2030. This study used data from the thirteen present administrative regions of KSA to simulate the variations in ICU admission as a quality indicator in the five business units proposed by a new Model of Care. METHODS: We determined the rates of ICU admission for patients with confirmed SARS-CoV-2 (COVID-19) from March to mid-July 2020. The final sample included 1743 inpatients with moderate to severe COVID-19. Patient characteristics, including demographics, pre-existing chronic conditions, and COVID-19 complications, were collected. Business units (BUs) were compared with respect to the relative odds of ICU admission by using multiple logistic regression. RESULTS: After keeping patient and clinical characteristics constant, clear BU differences were observed in the relative odds of ICU admission of COVID-19 patients. Inpatient admission to ICU in our total sample was almost 50%. Compared to the Central BU, the Northern and Western BUs showed significantly higher odds of ICU admission while the Eastern & Southern BUs had significantly lower odds. CONCLUSION: ICU use for COVID-19 patients differed significantly in KSA healthcare BUs, consistent with variations in care for other non-COVID-19-related conditions. These differences cannot be explained by patient or clinical characteristics, suggesting quality-of-care differences. We believe that privatization and the shift to fewer administrative BUs will help lessen or eliminate altogether the present variations in healthcare service provision.