ABSTRACT
This purpose of this study is to help students developing problem-solving skills by using Problem-based Learning (PBL) as a teaching model, combining with the Objective Structured Clinical Examination (OSCE) as a training tool to evaluate students' clinical competencies. Sixty-five college junior students from a therapeutic nutrition course were participated. The topics of PBL included diabetes, kidney disease, cancer, and cardiovascular disease. For each disease, pre- and post-test quiz and after class exam were assessed to evaluate the students' learning effectiveness. Due to the impact of the COVID-19 epidemic, OSCE was performed online. The focus group interview and learning effectiveness questionnaire were conducted by the end of this course for all participants. Moreover, 37 students who attended the dietitian internship filled in the learning effectiveness questionnaire again after the internship. The results indicated that after the PBL, the post quiz score for each disease was increased, and through the online OSCE training, students' abilities to master nutrition education and counseling had been upgraded. Students indicated that both PBL and OSCE training could contributed to the learning effectiveness. The better academic performance students were, the more willing they are to work in nutrition-related fields in the future. For those who finished the dietitian internship agreed that they could understand the work content better in general regional and regional hospitals than in teaching ones. In conclusion, PBL teaching model combined with OSCE training could effectively improve students' learning motivation, learning effectiveness and practical application in a therapeutic nutrition course.Copyright © 2022 Nutrition Society in Taipei. All rights reserved.
ABSTRACT
Requesting personal information in frontline service encounters raises privacy concerns among customers. The proximity contact tracing that occurred during the COVID-19 pandemic provides an intriguing context of information requests. Hospitality venues required contact tracing details from customers, and customer cooperation varied with concerns about privacy. Drawing on gossip theory, we investigate the roles of businesses' data privacy practices and government support in driving customers' responses to contact tracing. Our findings show that perceived transparency of a business's privacy practices has a positive effect on customers' commitment to the business, while perceived control exerts a negative effect on commitment. These effects are mediated by customers' information falsification rather than disclosure, because the former is a sensitive behavioral indicator of privacy concerns. The results also reveal the moderating roles of government support. This research contributes to the customer data privacy literature by demonstrating the distinct effects of perceived transparency and control on commitment and revealing the underlying mechanism. Moreover, the research extends the conceptual understanding of privacy practices from online contexts to face-to-face contexts of frontline service. The findings offer implications for the management of customer data privacy. © 2022 Elsevier Ltd
ABSTRACT
Purpose: The purpose of this paper is to better understand the differences between community and non-community banks (CBs and Non-CBs) in the US. As the former have been declining in numbers, previous literature shows inherent differences between the business models of CBs and Non-CBs. This study attempts to gauge whether the impact of the reserve elimination during the Covid pandemic affected all banks similarly or whether community banks showed a differentiated response. Design/methodology/approach: On March 26, 2020, the Federal Reserve, at the onset of the Covid pandemic, altered the depository institution reserve requirement for the first time since 1992. This significant change in policy led to the reserve requirement reduction from 10% to 0%. This study examines the impact of the 2020 reserve elimination on all community banks and non-community banks in the US and finds that although the level of cash to assets increased at both types of depository institutions post reserve elimination, the impact on liquidity-focused ratios was more pervasive at community banks in the first quarter post the regulatory shift. Among community banks, the largest depository institutions experienced the biggest balance sheet adjustments in the June 2020 quarter that followed the change in Federal Reserve’s policy. Further, the study finds that over two-quarters post reserve elimination, the non-community banks demonstrate a greater increase in balance sheet liquidity. Past literature shows that community banks tend to carry more liquidity than non-community banks and small community banks tend to carry more liquidity than their larger counterparts. These previous findings may provide some explanation for the different speed documented in this study at which various banks have reacted to the reserve elimination in 2020. Findings: This research finds that community banks had a quicker response to the change in the reserve elimination, showing quick increases across liquidity ratios. The larger non-community banks tended to play catch up, increasing their liquidity in the subsequent quarter. The study also shows that the changes in liquidity were initially driven by the segment of large community banks. Originality/value: This study looks at how the reserve elimination enacted by the Federal Reserve in March 2020 in response to the Covid pandemic affected community versus non-community banks. Currently, as far as the authors know, there are no other published papers that look at this issue. © 2022, Emerald Publishing Limited.
ABSTRACT
Objective: The study objective was to explore the episode of COVID-19 symptoms among sub-Saharan African (SSA) by examining the predicting effect of mask usage, self-medication, and personal sensitivity on the symptoms. Materials and Methods: In a cross-sectional study in the SSA population, 536 individuals were asked about the episode of COVID-19 symptoms, personal sensitivity, mask usage, and self-medication. "Hierarchical multiple linear regression statistical method" was used to evaluate the data. Results: The personal sensitivity (r=0.245<0.01), taking off face mask in enclosed public places (r=0.255<0.01) and self -medication (r=0.392<0.01) were positively associated with COVID-19 symptoms. Overall, the total predictive effect of self-medication, taking off the mask in public spaces, and personal sensitivity accounted for 21% of the variance in the episode of COVID-19 symptoms of the study population. Conclusion: Personal sensitivity, mask usage, and self -medication support understanding of the episode of COVID-19 symptoms experienced among the study population. It is important to encourage the use of masks in high-risk areas. To improve post-COVID-19 health policies, self-medication used to decrease the risk of COVID-19 infection and other related public health concerns should be reduced.