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.

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 role of knowledge management and sharing in cooperatives practices toward National Economic Recovery in the COVID-19 pandemic era.

The National Economic Recovery (NER) Program is one of the responses initiated by the government in Indonesia's economic recovery due to the impact of COVID-19, the target is to reduce the activities of affected communities, including cooperatives. One of the priority aspects for the program to run well and smoothly is the role of institutions in knowledge management and process sharing. This paper examines the role of knowledge management and sharing in cooperatives with qualitative limitations at the knowledge process level, knowledge design level, strategic interaction level, social participation level, academic and scientific ecosystem level, and network and partnership level. A qualitative description becomes a research method with secondary data in the form of a comparison of cooperatives in 2019-2021 as a representation before and during the COVID-19 pandemic. COVID-19 secondary data for 20 months from April 2020 to September 2022 in Indonesia dynamically also support sharpening the analysis. The source of cooperative data is from the publications of the Ministry of Cooperatives and SMEs, while the source of COVID-19 data comes from the publication of the COVID-19 Task Force. The analysis is carried out by building qualitative aspects into quantitative ones that can be formulated in the form of cooperative applications. The result is that the application of the knowledge process level, knowledge design level, strategic interaction level, social participation level, academic and scientific ecosystem level, and network and partnership level can improve decision-making, capture, share, and measure institutional knowledge for the success of the NER Program.

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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.

Infodemiology on diet and weight loss behavior before and during COVID-19 pandemic in Indonesia: Implication for public health promotion

Objective This study set out to explore public interest through information search trends on diet and weight loss before and during the COVID-19 pandemic in Indonesia. Methods The Google Trends database was evaluated for the relative internet search popularity on diet-related search terms, including top and rising diet-related terms. The search range was before and during the COVID-19 pandemic (April 2018 to January 2022) in the Indonesia region. We analyzed the Relative Search Volume (RSV) data using line charts, correlation, and comparison tests. Results Search queries of “lose weight” was higher during the pandemic (58.34 ± 9.70 vs. 68.69 ± 7.72;p<0.05). No difference was found in diet-related searches before and after the pandemic. Public interest in the diet was higher after Eid al-Fitr (Muslims break fasting celebration day) and after the new year. Many fad diet (FD) terms were found on the top and rising terms. Conclusion After Eid al-Fitr and the new year were susceptible times for promoting a healthy diet in Indonesia. Potential need found before those times for education in inserting healthy food among fatty and sugary menus related to holidays and celebrations. Higher interest in “lose weight” was relevant to heightened obesity risk during the social restriction and heightened COVID-19 morbidity and mortality due to obesity. The high interest for rapid weight loss through FD needs to be resolved by promoting healthy diets with a more captivating message and messenger, like consistently using top terms in the keywords of the official healthy diet guidance. Future research could explore the relationship between diet and other behavior or with non-communicable diseases.

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.

Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach.

This study aimed to investigate the adoption of the Sehha, Mawid, and Tetamman mobile health applications during the COVID-19 pandemic in Saudi Arabia. The present study investigated factors influencing app use intention based on the Health Belief Model (HBM) approach. This study was conducted using a sample of 176 participants from the Riyadh and Makkah regions during the lockdown in May 2020. This study uses structural equation modeling for data collected using SmartPLS 3.3.9 (GmbH, Oststeinbek, Germany) to examine the effect of constructs on the model. The most important predictor was the perceived benefits of the mobile health apps, followed by self-efficacy. The perceived barriers and cues to action have no significant effect on behavioral intention. The perceived benefits and self-efficacy as keys can provide an overview to the government and to health organizations for taking into account the most important factors of the adoption of mobile health apps, meaning that the developer must adjust to the characteristics of the community of people that need applications that provide many benefits and have an impact.

COVID-19 Mobile Apps in Saudi Arabia: Systematic Identification, Evaluation, and Features Assessment.

Background: The coronavirus disease 2019 (COVID-19) pandemic is the greatest global health threat in our century at the moment, and the use of mobile health apps has been one digital healthcare strategy adopted for coping with this outbreak. Objective: This study aims to identify and explore the mobile applications that are currently being utilized for dealing with COVID-19 in Saudi Arabia. Methods: The applications were selected based on the (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) PRISMA guidelines, then the functionalities were extracted based on the COVID-19 application mind map. Finally, the quality of the apps was assessed using the Mobile Application Rating Scale (MARS) for overall quality, satisfaction, engagement, functionality, aesthetics, and information. Results: The search identified six applications that were currently being used for COVID-19 which provided the following functionalities: self-assessment, self-isolation, permit for car mobility, prevention guidelines, COVID-19 lab results, call support, identifying nearby facilities, reporting suspected cases, and booking clinic appointments and the COVID-19 test. The findings showed that while most of these features were provided by multiple apps, on the MARS, the overall scores ranged from 3.26 to 3.69 with the apps scoring lower in the areas of satisfaction and engagement and higher in functionalities. Conclusion: Further steps are needed to unify all these functions in one health app to enhance the users' experience.