ABSTRACT
Purpose: When a website or application is designed and deployed rapidly as a response to an urgent need, it may not satisfy users. Therefore, we decided to investigate users’ attitudes and (dis)satisfaction towards the UX of the Madrasati platform, an e-learning system that was developed by the Saudi Ministry of Education as an alternative to traditional learning during the COVID-19 crisis. Method: The study utilizes Twitter to collect a large volume of data (177,358 tweets) related to Madrasati. Two relevant hashtags #Madrasati (يتسردم#) and #Minaset Madrasati (يتسردم ةصنم#) were used to collect data within the first two months after the launch of the platform. The two-month period was split into four phases: Pre-Semester Phase, Familiarization Phase, Interaction Phase, and Use Phase. The Microsoft Product Reaction Cards (MPRC) tool was implemented to judge user satisfaction/dissatisfaction. Results: The findings show a sudden dissatisfaction about the platform upon launch, but a gradual increase in positive UX over time. Various categories of negative UX (e.g., errors, user denial, and speed issues) gradually became less and less over the observed two months. More importantly, the results show how big data from Twitter can be used for analyzing the UX of a new product. Conclusion: UX is not static;it can change positively over time as users gain more experience with the system. © 2021, Emerald Group Holdings Ltd.. All rights reserved.
ABSTRACT
Purpose: To analyze drug information queries related to treatment with hydroxychloroquine (HCQ), chloroquine (CQ), and azithromycin submitted to a local drug and poison information center in Riyadh, Saudi Arabia. Methods: This retrospective study explored HCQ-, CQ-, and azithromycin-related inquiries submitted to the Drug and Poison Information Center at the Security Forces Hospital Program, Riyadh, Saudi Arabia. These inquiries were analyzed quantitatively and qualitatively. The quantitative analysis included the frequency of each request per year, the profession of the requesters, and the source material classification. A thematic analysis was also performed to categorize requests from healthcare professionals. Results: The Drug and Poison Information Center received 10,685 usable inquiries between 2005 and 2018. There were 160 CQ-, HCQ-, and azithromycin-related queries. Most requests were made by pharmacists (61.25 %). The main sources used to answer the queries were tertiary (92.31 %) and primary (7.69 %) sources. In the dataset, three major topics were identified: administration and dosing, safety, and pregnancy and lactation, each associated with a query subset. Conclusion: These results emphasize the importance of continued education on antimicrobial agents in general, and HCQ, CQ, and azithromycin in particular. The three items have been identified as focus areas that policymakers can us to ensure the quality of future medication prescriptions.
ABSTRACT
Background: Concerning COVID-19, levels of angiotensin-converting enzyme 2 (ACE2), the said host receptor of the virus responsible for COVID-19 (intense acute respiratory syndrome coronavirus 2;SARS-CoV-2), were located to be elevated in patients with COPD. But, early character COVID-19 studies have not always pronounced a drastically better fee of severe disease in COPD sufferers. Aim: This work aims to determine the prevalence of COPD concerning the severity of COVID-19 infection. Materials and Methods: A systematic search was performed over different medical databases to identify Internal Medicine studies, which studied the outcome of the COPD group versus the Non-COPD group of COVID-19 patients. Using the meta-analysis process, either with fixed or random-effects models, we conducted a meta-analysis on the prevalence of severe cases as a primary outcome, and on mortality rate as a secondary outcome. Results: Eleven studies were identified involving 146666 patients, 2764 in the COPD group, and 143902 in the Non-COPD group. The meta-analysis process revealed that the pooled prevalence of severity among COVID-19 patients was (28.7%), and there is a significant increase in COVID-19 severe cases in the COPD group (OR=3.46, P=0.042). The pooled mortality rate among COVID-19 patients was (16.7%), and there is a highly significant increase in mortality in COPD group (OR=3.75, P<0.001). Conclusion: To conclude, COVID-19 is an emerging disease all over the world and spreading at an unpredicted rate, resulting in significant influences on global economies and public health. The present review assessed the risk factors related to the outcomes of SARS-CoV-2 infections which were included old age, male gender, and obesity, associated co-morbidities in COPD, which increase the mortality and severity of COVID-19.