Comparative assessment of attitudes among medical and dental professionals in Saudi Arabia toward e-professionalism using the SMEPROF-S scale.

Background: Social media (SM) usage is on the rise among health professionals at all levels to align with the emerging digital and SM era. e-Professionalism is described as attitudes and actions that resemble traditional professionalism paradigms but are expressed through digital media. Although there are a number of studies conducted in the past several years measuring e-professionalism of medical and dental professionals, there is no validated scale to assess the level of e-professionalism among medical and dental professionals in Saudi Arabia. Therefore, this study aimed to assess attitudes toward e-professionalism among medical and dental professionals in Saudi Arabia using the SMePROF-S scale. Methods: This cross-sectional study recruited 338 medical and dental students and practitioners from 20 cities in Saudi Arabia to complete an online SMePROF-S self-reported questionnaire measuring attitudes about e-professionalism. Results: Among participants, 31.66% believed that it is acceptable to communicate with patients through SM, but only 16.86% agreed with communicating via personal SM account messaging. Many participants (35.80%-50%) fear that SM use can cause problems with getting hired, people making inaccurate assumptions and perceptions, and job losses. There were 31.36% who believed that sharing patient information without consent is acceptable. The majority (63.02%-63.31%) do not believe that medical/dental professionals should be barred from using SM, and 40.53% believe that schools/organizations have no right to interfere with their online activities. Only 22.19% believed that SM use removed professional protections from the public. A few statements were statistically different by specialty and gender. Conclusion: There is a variability of attitudes about e-professionalism among medical and dental professionals in Saudi Arabia, with some alarming issues requiring national guidelines to ensure patient rights, privacy, and confidentiality.

Correction: Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis.

[This corrects the article DOI: 10.2196/21329.].

Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis.

BACKGROUND: A substantial amount of COVID-19-related data is generated by Twitter users every day. Self-reports of COVID-19 symptoms on Twitter can reveal a great deal about the disease and its prevalence in the community. In particular, self-reports can be used as a valuable resource to learn more about common symptoms and whether their order of appearance differs among different groups in the community. These data may be used to develop a COVID-19 risk assessment system that is tailored toward a specific group of people. OBJECTIVE: The aim of this study was to identify the most common symptoms reported by patients with COVID-19, as well as the order of symptom appearance, by examining tweets in Arabic. METHODS: We searched Twitter posts in Arabic for personal reports of COVID-19 symptoms from March 1 to May 27, 2020. We identified 463 Arabic users who had tweeted about testing positive for COVID-19 and extracted the symptoms they associated with the disease. Furthermore, we asked them directly via personal messaging to rank the appearance of the first 3 symptoms they had experienced immediately before (or after) their COVID-19 diagnosis. Finally, we tracked their Twitter timeline to identify additional symptoms that were mentioned within ±5 days from the day of the first tweet on their COVID-19 diagnosis. In total, 270 COVID-19 self-reports were collected, and symptoms were (at least partially) ranked. RESULTS: The collected self-reports contained 893 symptoms from 201 (74%) male and 69 (26%) female Twitter users. The majority (n=270, 82%) of the tracked users were living in Saudi Arabia (n=125, 46%) and Kuwait (n=98, 36%). Furthermore, 13% (n=36) of the collected reports were from asymptomatic individuals. Of the 234 users with symptoms, 66% (n=180) provided a chronological order of appearance for at least 3 symptoms. Fever (n=139, 59%), headache (n=101, 43%), and anosmia (n=91, 39%) were the top 3 symptoms mentioned in the self-reports. Additionally, 28% (n=65) reported that their COVID-19 experience started with a fever, 15% (n=34) with a headache, and 12% (n=28) with anosmia. Of the 110 symptomatic cases from Saudi Arabia, the most common 3 symptoms were fever (n=65, 59%), anosmia (n=46, 42%), and headache (n=42, 38%). CONCLUSIONS: This study identified the most common symptoms of COVID-19 from tweets in Arabic. These symptoms can be further analyzed in clinical settings and may be incorporated into a real-time COVID-19 risk estimator.