A cross-sectional study factors associated with resilience among medical staff in radiology departments during COVID-19, Riyadh, Kingdom of Saudi Arabia.

OBJECTIVES: This study aims to assess the level of resilience of medical workers in radiology departments in Riyadh, Kingdom of Saudi Arabia, during the COVID-19 outbreak and to explore associated factors. SETTING: Medical staff, including nurses, technicians, radiology specialists and physicians, working in radiology departments at government hospitals in Riyadh, Saudi Arabia during the COVID-19 outbreak. DESIGN: A cross-sectional study. PARTICIPANTS: The study was conducted among 375 medical workers in radiology departments in Riyadh, Kingdom of Saudi Arabia. The data collection took place from 15 February 2022 to 31 March 2022. RESULTS: The total resilience score was 29.37±6.760 and the scores of each dimension showed that the higher mean score was observed in the domain of 'flexibility', while the lowest was observed in 'maintaining attention under stress'. Pearson's correlation analysis showed that there was a significant negative correlation between resilience and perceived stress (r=-0.498, p<0.001). Finally, based on multiple linear regression analysis, factors affecting resilience among participants are the availability of psychological hotline (available, B=2.604, p<0.050), knowledge of COVID-19 protective measures (part of understanding, B=-5.283, p<0.001), availability of adequate protective materials (partial shortage, B=-2.237, p<0.050), stress (B=-0.837, p<0.001) and education (postgraduate, B=-1.812, p<0.050). CONCLUSIONS: This study sheds light on the level of resilience and the factors that contribute to resilience in radiology medical staff. Moderate levels of resilience call for health administrators to focus on developing strategies that can effectively help cope with workplace adversities.

The impact of COVID-19 pandemic on key performance indicators in three Saudi hospitals.

OBJECTIVE: The coronavirus disease (COVID-19) disrupted healthcare systems and medical care worldwide. This study attempts to assess the performance of three Saudi hospitals during COVID-19 by comparing waiting times for outpatient appointments and the volume of elective surgeries before and after COVID-19. METHODS: We used ADA'A data collected from three Saudi hospitals for this retrospective cohort study. The outcome variables were "Waiting Time for Appointment" and "Elective OR Utilization". The hospitals included in this study were: a 300-bed maternity and children's hospital; a 643-bed general hospital; and a 1230-bed tertiary hospital. We included all patients who visited the OPD and OR in the time period from September 2019 to December 2021. A two-way ANOVA test was used to examine the differences in the outcome variables by hospital and by the phase of COVID-19. RESULTS: For the elective OR utilization rate, the results showed that both the hospital and the phase of COVID-19 were significantly different (p-value < 0.05). On average, the elective OR utilization rate dipped considerably in the early phase of COVID-19 (33.2% vs 44.9%) and jumped sharply in the later phase (50.3%). The results showed that the waiting time for OPD appointment was significantly different across hospitals and before and after COVID-19 in each hospital (p-value < 0.05). the waiting time dropped during the early phase of COVID-19 for both the general hospital (GEN) (24.6 days vs 34.8 days) and the tertiary hospital (MDC) (40.3 days vs 48.6 days), while the maternity and children's hospital (MCH)'s score deteriorated sharply (24.6 days vs 9.5 days). CONCLUSION: This study indicates that COVID-19 led to a significant impact on elective surgery rates and waiting time for OPD appointments in the early stage of the pandemic when the lockdown strategy was implemented in the country. Although the elective surgery rate had decreased at the designated COVID-hospital, the waiting time for OPD appointment had improved. This is a clear indication that the careful planning and management of resources for essential services during pandemic was effective.

Adoption of the Green Economy through Branchless Rural Credit Banks during the COVID-19 Pandemic in Indonesia

A green economy has an impact on improving welfare, but it takes continuous efforts to achieve it from various fields. Contribution in the context of banking on a small scale is one of the initiatives that can show participation in achieving a green economy. This study aims to explore people's behavior in financial transactions and analyze the practice of rural credit banks in encouraging the achievement of a green economy through the National Financial Inclusive Strategy (NFIS) program despite the COVID-19 pandemic. This study used quantitative approaches;observations were conducted at a certain time by collecting data taken directly as a complement to this study, as well as taking questionnaire data involving 363 samples and analyzing them using the structural equation model (SEM). The result is that green economic support is found in using paper for fewer savings transactions compared to branchless banking with conventional savings transactions. The high number of residents exposed to COVID-19 does not affect branchless banking. In addition, the use of branchless banking can show the penetration of financial literacy in the community. The results of the path analysis explain that perceived ease of use (7.468) and perceived usefulness (2.152) have an influence on attitude;intention is greatly influenced by attitude (15.357);and actual usage is influenced by intention (11.682). This research has specific implications for the Magelang City Rural Bank (MCRB), which needs to conduct market research to find out the potential of branchless banking that is specifically needed by the people of Magelang. Branchless banking innovation needs to be strengthened by presenting easy-to-understand and easy-to-use applications to improve the attitude of the Magelang people in adopting branchless banking applications and using them sustainably.

The effect of global price movements on the energy sector commodity on bitcoin price movement during the COVID-19 pandemic.

This study aims to determine the effect of global price movements for energy sector commodities, especially Crude Oil and Natural Gas Prices, on cryptocurrency price movements. This study focuses more on the Bitcoin cryptocurrency. This study uses quantitative methods, and the data collection used is secondary data with weekly data and the period from January 1, 2020-July 31, 2021. The number of observations used in this study amounted to 79 observations. Secondary data sources are obtained through the website finance.yahoo.com. The data processing technique will be carried out using Stata and SPSS software, the Multiple Linear Regression method, and the Classical Assumption Test. The results of this study show that global prices for energy sector commodities, especially Crude Oil, Natural Gas, have a positive effect on Bitcoin price movements. These results indicate a link between energy and Bitcoin caused by Bitcoin miners who are mining Bitcoin using energy so that when the price of Bitcoin rises, the price of energy will also increase.

The Effect of Transformational Leadership and Remote Working on Employee Performance During COVID-19 Pandemic.

The COVID-19 outbreak has emphasized the importance of leadership style in achieving organizational performance. It also implies changes in administrative processes to remote working, impacting employee activities, and performance. Employee performance is one of the aspects that might influence a company's success. If employees are productive and provide high-quality work, the company's performance will increase. This study aims to analyze the effect of Transformational Leadership and Remote Working on Employee Performance during the COVID-19 pandemic. This study was conducted by performing a questionnaire distribution survey and acquiring 136 respondents. The research was conducted on a Jakarta area company that had implemented Remote Working. The number of samples in this study was determined using a simple random sampling procedure, in which the sampling was done at random without consideration for the population's existing strata. This study uses a quantitative approach method based on factual data and research data in statistical figures related to concluding research problems. The source of data in this study is primary data that was directly obtained from sources without going through intermediaries. This study shows that Transformational Leadership has no significant impact on Employee Performance during the COVID-19 pandemic, and Remote Working has a significant impact on Employee Performance during the COVID-19 pandemic.

Risk factors associated with in-hospital mortality patients with COVID-19 in Saudi Arabia.

Risk factors for in-hospital mortality of COVID-19 patients in Saudi Arabia have not been well studied. Previous reports from other countries have highlighted the effect of age, gender, clinical presentation and health conditions on the outcome of COVID-19 patients. Saudi Arabia has a different epidemiological structure with a predominance of young population, which calls for separate study. The objective of this study is to assess the predictors of mortality among hospitalized patients with COVID-19 in Saudi Arabia. This is a retrospective observational cohort study of hospitalized adult COVID-19 patients at two tertiary hospitals in Saudi Arabia between May to July 2020. Electronic charts were retrospectively reviewed comparing survivors and non-survivors in terms of demographic and clinical variables and comorbid conditions. A total of 564 hospitalized patients with COVID-19 were included in the study. The overall in-hospital mortality rate was 20%. The non-survivors were significantly older than survivors (59.4 ± 13.7 years and 50.5 ± 13.9 years respectively P< 0.001). Diabetes mellitus, hypertension, heart failure and ischemic heart disease were more prevalent among non-survivors (P< 0.001). The mean values of glycosylated hemoglobin HgA1C, D-dimer, ferritin, lactate dehydrogenase LDH, Alanin aminotransferase ALT and creatinine were significantly higher among non-survivors (P < 0.05). Multivariate logistic regression analysis revealed that age (aOR = 1.04; 95% CI 1.02-1.08; P < 0.01), chronic kidney disease (aOR = 4.04; 95% CI 1.11-14.77; P < 0.05), acute respiratory distress syndrome ARDS (aOR = 14.53; 95% CI 5.42-38.69; P < 0.01), Mechanical Ventilation (aOR = 10.57; 95% CI 5.74-23.59; P < 0.01), Shock (aOR = 3.85; 95% CI 1.02-14.57; P < 0.05), admission to intensive care unit (ICU) (aOR = 0.12; 95% CI 0.04-0.33; P < 0.01) and length of stay (aOR = 0.96; 95% CI 0.93-0.99; P < 0.05) were significant contributors towards mortality. The in-hospital mortality rate of COVID-19 patients admitted to tertiary hospitals in Saudi Arabia is high. Older age, chronic kidney disease and ARDS were the most important predictors of mortality.

Leadership Style and Hospital Performance: Empirical Evidence From Indonesia.

The COVID-19 pandemic created new conditions for the functioning of all organizations. Suddenly, there was a problem with the lack of appropriate leadership styles models in health care organizations (hospitals), which are particularly vulnerable to disruptions in a pandemic. Hospitals, in particular, have become exposed to organizational and managerial problems. The article aims to propose an appropriate leadership style model that will guarantee a high level of hospital efficiency, taking into account a pandemic situation in the example of private hospitals in Indonesia. Organizational identification is promoted as a mediating variable due to the high level of this variable in explaining hospital performance in Indonesia based on preliminary studies. During research used a structural equation model using 394 samples at the unit leadership level in private hospitals in Indonesia. The results of this study explain that there is an impact between innovative leadership and strategic leadership styles on hospital performance. Private hospitals in Indonesia need to improve themselves to use the most appropriate leadership style model based on the needs of the hospital itself.

Quality of Life among Caregivers of Patients Diagnosed with Major Chronic Disease during COVID-19 in Saudi Arabia.

Quality of life (QoL) is considered one of the measures of health outcomes. Limited research studies have assessed family caregivers' QoL, especially among patients diagnosed with chronic disease. This study measures the QoL of caregivers who guardian patients diagnosed with cardiovascular disease, diabetes, cancer, and/or other diseases during the COVID-19 pandemic. Participants were primary caregivers who were supporting, in the last six months, individuals diagnosed with one of the previously mentioned chronic diseases. This included caregivers of patients admitted to a tertiary hospital from January 2021 to July of the same year (n = 1081); all participants completed the World Health Organization Quality of Life Assessment tool (WHOQOL-BREF) questionnaire. Caregivers of patients with cancer reported the highest mean level of QoL, followed by diabetes, cardiovascular diseases, then other different diseases (M = 3.80; M = 3.38; M = 3.37; and M = 2.51, respectively). A chi-square test of independence was performed to examine the relationship between the QoL of the four groups and their behaviors (i.e., caregivers' psychological onuses and physical actions/reactions). The relation between these variables was significant, X2 (3, n = 1081) = 8.9, p = 0.001. The Kruskal-Wallis test indicated significant differences among the four groups (p ≤ 0.001). While the overall results of the QoL level of participants were low, a major recommendation of this study was to incorporate a QoL assessment to caregivers of chronically ill patients. Regular psychological and physical health check-ups of caregivers should be mandated in the healthcare system. Research studies should consider investigating and identifying the factors affecting health outcomes and positive developments which have a great impact on the wellbeing of both caregivers and patients on personal, organizational, and national levels.

Cardiovascular Risk Factors Among Patients Infected with COVID-19 in Saudi Arabia.

BACKGROUND: Coronavirus disease (COVID-19) is a global pandemic with more than 60 million cases worldwide and over 1.5 million deaths by March 2021. Its outbreak has caused a huge burden on healthcare systems all over the world. Several studies in the medical literature have suggested that patients with underlying cardiovascular disease (CVD) are at higher risk for developing severe symptoms, poor prognosis, and high mortality rates. The aim of this study was to assess the prevalence of CVD risk factors among COVID-19 patients based on the Framingham risk score (FRS), and to evaluate the association of CVD risk factors with clinical outcomes. PATIENTS AND METHODS: In this retrospective cross-sectional study, we identified 264 confirmed cases with COVID-19 at King Saud University Medical City in Riyadh, Saudi Arabia. Patients aged 18-80 years were included, and their electronic records were reviewed. They were classified into low, intermediate, and high risk of CVD according to FRS classification. RESULTS: Two-hundred-six patients (67% male) were included in this study. The mean age was 55.3 ± 15.1 years. Most patients had comorbidities: the most common were hypertension (48.1%), diabetes (45.1%), and ischemic heart disease (11.2%). More than half required intensive care admission, and 58 (28.2%) patients died. Pneumonia was the most frequently observed complication (85%), followed by mechanical ventilation (28.3%) and acute kidney injury (27.7%). Age, male gender, hypertension, and diabetes mellitus showed significant differences between FRS categories, and were associated with intermediate and high-risk groups of FRS (p < 0.05). Pneumonia and length of stay were associated with the Intermediate risk group of FRS. CONCLUSION: Cardiovascular disease risk factors are prevalent in Saudi patients infected with COVID-19. FRS could be a useful tool to identify CVD risk factors among COVID-19 patients and predict a complicated course.