Virtual Objective Structured Clinical Examination (OSCE) Training in the Pandemic Era: Feasibility, Satisfaction, and the Road Ahead.

INTRODUCTION: Objective Structured Clinical Examinations (OSCEs) are essential assessments for evaluating the clinical competencies of medical students. The COVID-19 pandemic caused a significant disruption in medical education, prompting institutions to adopt virtual formats for academic activities. This study analyzes the feasibility, satisfaction, and experiences of pediatric board candidates and faculty during virtual or electronic OSCE (e-OSCE) training sessions using Zoom video communication (Zoom Video Communications, Inc., San Jose, USA). METHODS: This is a post-event survey assessing the perceptions of faculty and candidates and the perceived advantages and obstacles of e-OSCE. RESULTS: A total of 142 participants were invited to complete a post-event survey, and 105 (73.9%) completed the survey. There was equal gender representation. More than half of the participants were examiners. The overall satisfaction with the virtual e-OSCE was high, with a mean score of 4.7±0.67 out of 5. Most participants were likely to recommend e-OSCE to a friend or colleague (mean score 8.84±1.51/10). More faculty (66.1%) than candidates (40.8%) preferred e-OSCE (P=0.006). CONCLUSION: Transitioning to virtual OSCE training during the pandemic proved feasible, with high satisfaction rates. Further research on virtual training for OSCE in medical education is recommended to optimize its implementation and outcomes.

Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases.

Artificial Intelligence (AI), particularly AI-Generated Imagery, has the potential to impact medical and patient education. This research explores the use of AI-generated imagery, from text-to-images, in medical education, focusing on congenital heart diseases (CHD). Utilizing ChatGPT's DALL·E 3, the research aims to assess the accuracy and educational value of AI-created images for 20 common CHDs. In this study, we utilized DALL·E 3 to generate a comprehensive set of 110 images, comprising ten images depicting the normal human heart and five images for each of the 20 common CHDs. The generated images were evaluated by a diverse group of 33 healthcare professionals. This cohort included cardiology experts, pediatricians, non-pediatric faculty members, trainees (medical students, interns, pediatric residents), and pediatric nurses. Utilizing a structured framework, these professionals assessed each image for anatomical accuracy, the usefulness of in-picture text, its appeal to medical professionals, and the image's potential applicability in medical presentations. Each item was assessed on a Likert scale of three. The assessments produced a total of 3630 images' assessments. Most AI-generated cardiac images were rated poorly as follows: 80.8% of images were rated as anatomically incorrect or fabricated, 85.2% rated to have incorrect text labels, 78.1% rated as not usable for medical education. The nurses and medical interns were found to have a more positive perception about the AI-generated cardiac images compared to the faculty members, pediatricians, and cardiology experts. Complex congenital anomalies were found to be significantly more predicted to anatomical fabrication compared to simple cardiac anomalies. There were significant challenges identified in image generation. Based on our findings, we recommend a vigilant approach towards the use of AI-generated imagery in medical education at present, underscoring the imperative for thorough validation and the importance of collaboration across disciplines. While we advise against its immediate integration until further validations are conducted, the study advocates for future AI-models to be fine-tuned with accurate medical data, enhancing their reliability and educational utility.

Transforming Virtual Healthcare: The Potentials of ChatGPT-4omni in Telemedicine.

The introduction of OpenAI's ChatGPT-4omni (GPT-4o) represents a potential advancement in virtual healthcare and telemedicine. GPT-4o excels in processing audio, visual, and textual data in real time, offering possible enhancements in understanding natural language in both English and non-English contexts. Furthermore, the new "Temporary Chat" feature may improve privacy and data confidentiality during interactions, potentially increasing integration with healthcare systems. These innovations promise to enhance communication clarity, facilitate the integration of medical images, and increase data privacy in online consultations. This editorial explores some future implications of these advancements for telemedicine, highlighting the necessity for further research on reliability and the integration of advanced language models with human expertise.

ChatGPT-3.5 System Usability Scale early assessment among Healthcare Workers: Horizons of adoption in medical practice.

Artificial intelligence (AI) chatbots, such as ChatGPT, have widely invaded all domains of human life. They have the potential to transform healthcare future. However, their effective implementation hinges on healthcare workers' (HCWs) adoption and perceptions. This study aimed to evaluate HCWs usability of ChatGPT three months post-launch in Saudi Arabia using the System Usability Scale (SUS). A total of 194 HCWs participated in the survey. Forty-seven percent were satisfied with their usage, 57 % expressed moderate to high trust in its ability to generate medical decisions. 58 % expected ChatGPT would improve patients' outcomes, even though 84 % were optimistic of its potential to improve the future of healthcare practice. They expressed possible concerns like recommending harmful medical decisions and medicolegal implications. The overall mean SUS score was 64.52, equivalent to 50 % percentile rank, indicating high marginal acceptability of the system. The strongest positive predictors of high SUS scores were participants' belief in AI chatbot's benefits in medical research, self-rated familiarity with ChatGPT and self-rated computer skills proficiency. Participants' learnability and ease of use score correlated positively but weakly. On the other hand, medical students and interns had significantly high learnability scores compared to others, while ease of use scores correlated very strongly with participants' perception of positive impact of ChatGPT on the future of healthcare practice. Our findings highlight the HCWs' perceived marginal acceptance of ChatGPT at the current stage and their optimism of its potential in supporting them in future practice, especially in the research domain, in addition to humble ambition of its potential to improve patients' outcomes particularly in regard of medical decisions. On the other end, it underscores the need for ongoing efforts to build trust and address ethical and legal concerns of AI implications in healthcare. The study contributes to the growing body of literature on AI chatbots in healthcare, especially addressing its future improvement strategies and provides insights for policymakers and healthcare providers about the potential benefits and challenges of implementing them in their practice.

External Validation of Obese/Critically Ill Vancomycin Population Pharmacokinetic Models in Critically Ill Patients Who Are Obese.

Obesity combined with critical illness might increase the risk of acquiring infections and hence mortality. In this patient population the pharmacokinetics of antimicrobials vary significantly, making antimicrobial dosing challenging. The objective of this study was to assess the predictive performance of published population pharmacokinetic models of vancomycin in patients who are critically ill or obese for a cohort of critically ill patients who are obese. This was a multi-center retrospective study conducted at 2 hospitals. Adult patients with a body mass index of ≥30 kg/m2 were included. PubMed was searched for published population pharmacokinetic studies in patients who were critically ill or obese. External validation was performed using Monolix software. A total of 4 models were identified in patients who were obese and 5 models were identified in patients who were critically ill. In total, 138 patients who were critically ill and obese were included, and the most accurate models for these patients were the Goti and Roberts models. In our analysis, models in patients who were critically ill outperformed models in patients who were obese. When looking at the most accurate models, both the Goti and the Roberts models had patient characteristics similar to ours in terms of age and creatinine clearance. This indicates that when selecting the proper model to apply in practice, it is important to account for all relevant variables, besides obesity.

Awareness, Attitudes, and Willingness: A Cross-Sectional Study of Organ Donation in Saudi Arabia.

BACKGROUND: Organ transplantation is inherently dependent on the availability of organ donors. There is a noticeable paucity of literature addressing the rates of organ donation registration and the awareness of Islamic regulations (Fatwa) regarding organ donation within Saudi Arabia. Our study aimed to evaluate the level of organ donation registration, awareness of Islamic regulations, and knowledge of the Saudi Center for Organ Transplantation (SCOT) within the Saudi society. METHODS: We conducted a cross-sectional survey from 30 March to 9 April 2023. This survey aimed to assess the awareness of Islamic (Fatwa) guidance on organ donation, the role of SCOT, and the rate of organ donation registration facilitated through the Tawakkalna app, the official health passport application in Saudi Arabia. RESULTS: Out of 2329 respondents, 21% had registered as potential deceased organ donors, despite 87% acknowledging the importance of organ donation. Awareness of the Islamic Fatwa regarding organ donation was reported by 54.7% of respondents, and 37% recognized the Fatwa's acceptance of brain death criteria. The likelihood of registration as organ donors was higher among Saudi citizens under 45 years of age, females, healthcare workers (HCWs), individuals with higher education, relatives of patients awaiting organ donations, those informed about the Islamic Fatwas, and those willing to donate organs to friends. Conversely, being over the age of 25, Saudi nationality, employment as an HCW, awareness of SCOT, and prior organ donation registration were predictive of a heightened awareness of Islamic Fatwas. However, perceiving the importance of organ donation correlated with a lower awareness of the Fatwas. Significant positive correlations were found between awareness of SCOT, awareness of Fatwas, and registration for organ donation. CONCLUSIONS: While the Saudi population exhibits a high regard for the importance of organ donation, this recognition is not adequately translated into registration rates. The discrepancy may be attributable to limited awareness of SCOT and the relevant Islamic Fatwas. It is imperative to initiate organ donation awareness campaigns that focus on religious authorization to boost organ donation rates and rectify prevalent misconceptions.

ChatGPT and the Future of Digital Health: A Study on Healthcare Workers' Perceptions and Expectations.

This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among healthcare professionals. A cross-sectional survey was conducted among 1057 HCWs in Saudi Arabia, distributed electronically via social media channels from 21 February to 6 March 2023. The survey evaluated HCWs' familiarity with ChatGPT-3.5, their satisfaction, intended future use, and perceived usefulness in healthcare practice. Of the respondents, 18.4% had used ChatGPT for healthcare purposes, while 84.1% of non-users expressed interest in utilizing AI Chatbots in the future. Most participants (75.1%) were comfortable with incorporating ChatGPT into their healthcare practice. HCWs perceived the Chatbot to be useful in various aspects of healthcare, such as medical decision-making (39.5%), patient and family support (44.7%), medical literature appraisal (48.5%), and medical research assistance (65.9%). A majority (76.7%) believed ChatGPT could positively impact the future of healthcare systems. Nevertheless, concerns about credibility and the source of information provided by AI Chatbots (46.9%) were identified as the main barriers. Although HCWs recognize ChatGPT as a valuable addition to digital health in the early stages of adoption, addressing concerns regarding accuracy, reliability, and medicolegal implications is crucial. Therefore, due to their unreliability, the current forms of ChatGPT and other Chatbots should not be used for diagnostic or treatment purposes without human expert oversight. Ensuring the trustworthiness and dependability of AI Chatbots is essential for successful implementation in healthcare settings. Future research should focus on evaluating the clinical outcomes of ChatGPT and benchmarking its performance against other AI Chatbots.

Enhancing Expert Panel Discussions in Pediatric Palliative Care: Innovative Scenario Development and Summarization With ChatGPT-4.

This study presents a novel approach to enhance expert panel discussions in a medical conference through the use of ChatGPT-4 (Generative Pre-trained Transformer version 4), a recently launched powerful artificial intelligence (AI) language model. We report on ChatGPT-4's ability to optimize and summarize the medical conference panel recommendations of the first Pan-Arab Pediatric Palliative Critical Care Hybrid Conference, held in Riyadh, Saudi Arabia. ChatGPT-4 was incorporated into the discussions in two sequential phases: first, scenarios were optimized by the AI model to stimulate in-depth conversations; second, the model identified, summarized, and contrasted key themes from the panel and audience discussions. The results suggest that ChatGPT-4 effectively facilitated complex do-not-resuscitate (DNR) conflict resolution by summarizing key themes such as effective communication, collaboration, patient and family-centered care, trust, and ethical considerations. The inclusion of ChatGPT-4 in pediatric palliative care panel discussions demonstrated potential benefits for enhancing critical thinking among medical professionals. Further research is warranted to validate and broaden these insights across various settings and cultures.

Common Prognostic Biomarkers and Outcomes in Patients with COVID-19 Infection in Saudi Arabia.

Background: COVID-19 is a respiratory disease that eventually became a pandemic, with 300 million people infected around the world. Alongside the improvement in COVID-19 management and vaccine development, identifying biomarkers for COVID-19 has recently been reported to help in early prediction and managing severe cases, which might improve outcomes. Our study aimed to find out if there is any correlation between clinical severity and elevated hematological and biochemical markers in COVID-19 patients and its effect on the outcome. Methods: We have collected retrospective data on socio-demographics, medical history, biomarkers, and disease outcomes from five hospitals and health institutions in the Kingdom of Saudi Arabia. Results: Pneumonia was the most common presentation of COVID-19 in our cohort. The presence of abnormal inflammatory biomarkers (D-dimer, CRP, troponin, LDH, ferritin, and t white blood cells) was significantly associated with unstable COVID-19 disease. In addition, patients with evidence of severe respiratory disease, particularly those who required mechanical ventilation, had higher biomarkers when compared to those with stable respiratory conditions (p < 0.001). Conclusion: Identifying biomarkers predicts outcomes for COVID-19 patients and may significantly help in their management.

ChatGPT-4 and the Global Burden of Disease Study: Advancing Personalized Healthcare Through Artificial Intelligence in Clinical and Translational Medicine.

The fusion of insights from the comprehensive global burden of disease (GBD) study and the advanced artificial intelligence of open artificial intelligence (AI) chat generative pre-trained transformer version 4 (ChatGPT-4) brings the potential to transform personalized healthcare planning. By integrating the data-driven findings of the GBD study with the powerful conversational capabilities of ChatGPT-4, healthcare professionals can devise customized healthcare plans that are adapted to patients' lifestyles and preferences. We propose that this innovative partnership can lead to the creation of a novel AI-assisted personalized disease burden (AI-PDB) assessment and planning tool. For the successful implementation of this unconventional technology, it is crucial to ensure continuous and accurate updates, expert supervision, and address potential biases and limitations. Healthcare professionals and stakeholders should have a balanced and dynamic approach, emphasizing interdisciplinary collaborations, data accuracy, transparency, ethical compliance, and ongoing training. By investing in the unique strengths of both ChatGPT-4, especially its newly introduced features such as live internet browsing or plugins, and the GBD study, we may enhance personalized healthcare planning. This innovative approach has the potential to improve patient outcomes and optimize resource utilization, as well as pave the way for the worldwide implementation of precision medicine, thereby revolutionizing the existing healthcare landscape. However, to fully harness these benefits at both the global and individual levels, further research and development are warranted. This will ensure that we effectively tap into the potential of this synergy, bringing societies closer to a future where personalized healthcare is the norm rather than the exception.

Exploring Determinants of COVID-19 Vaccine Acceptance, Uptake, and Hesitancy in the Pediatric Population: A Study of Parents and Caregivers in Saudi Arabia during the Initial Vaccination Phase.

OBJECTIVES: This study aims to assess COVID-19 vaccine acceptance, uptake, and hesitancy among parents and caregivers of children in Saudi Arabia during the initial rollout of pediatric COVID-19 vaccination. METHODS: An electronic survey was used to collect data from participants who visited a COVID-19 vaccine center. The survey included demographic data, COVID-19 vaccine status among participants and their children, and reasons for vaccine acceptance or rejection. The Vaccine Hesitancy Scale (VHS) tool was also employed to assess vaccine hesitancy and attitudes toward the COVID-19 vaccine and routine childhood vaccination. Multivariate binary regression analysis was used to identify predictors of actual COVID-19 vaccine uptake among children. RESULTS: Of the 873 respondents included in the analysis, 61.5% were parents and 38.5% were other caregivers. Of the participants, 96.9% had received the COVID-19 vaccine. Six hundred and ninety-four participants accepted the vaccine for their children, with the main reasons being an endorsement by the Saudi Ministry of Health (60%) and the importance of going back to school (55%). One hundred and seventy-nine participants would not vaccinate their children, with the most common reasons being fear of adverse effects (49%) and inadequate data about vaccine safety (48%). Factors such as age, COVID-19 vaccination status, self-rated family commitment level, attitudes toward routine children's vaccines, and participants' generalized anxiety disorder (GAD7) score did not significantly correlate with children's COVID-19 vaccination status. Parents were less likely to vaccinate their children compared to other caregivers, and participants with a higher socioeconomic status were more likely to vaccinate their children. CONCLUSION: Vaccine acceptance and uptake were high during the initial pediatric COVID-19 vaccination rollout in Saudi Arabia. Still, the ongoing endorsement of the Ministry of Health and healthcare authorities should continue to advocate for better vaccine uptake in children.

Overview of Early ChatGPT's Presence in Medical Literature: Insights From a Hybrid Literature Review by ChatGPT and Human Experts.

ChatGPT, an artificial intelligence chatbot, has rapidly gained prominence in various domains, including medical education and healthcare literature. This hybrid narrative review, conducted collaboratively by human authors and ChatGPT, aims to summarize and synthesize the current knowledge of ChatGPT in the indexed medical literature during its initial four months. A search strategy was employed in PubMed and EuropePMC databases, yielding 65 and 110 papers, respectively. These papers focused on ChatGPT's impact on medical education, scientific research, medical writing, ethical considerations, diagnostic decision-making, automation potential, and criticisms. The findings indicate a growing body of literature on ChatGPT's applications and implications in healthcare, highlighting the need for further research to assess its effectiveness and ethical concerns.

Mitigating the Burden of Severe Pediatric Respiratory Viruses in the Post-COVID-19 Era: ChatGPT Insights and Recommendations.

In the current post-pandemic era, the rapid spread of respiratory viruses among children and infants resulted in hospitals and pediatric intensive care units (PICUs) becoming overwhelmed. Healthcare providers around the world faced a significant challenge from the outbreak of respiratory viruses like respiratory syncytial virus (RSV), metapneumovirus, and influenza viruses. The chatbot generative pre-trained transformer, ChatGPT, which was launched by OpenAI in November 2022, had both positive and negative aspects in medical writing. Still, it has the potential to generate mitigation suggestions that could be rapidly implemented. We describe the generated suggestion from ChatGPT on 27 Feb 2023 in response to the question "What's your advice for the pediatric intensivists?" We as human authors and healthcare providers, do agree with and supplement with references these suggestions of ChatGPT. We also advocate that artificial intelligence (AI)-enabled chatbots could be utilized in seeking a vigilant and robust healthcare system to rapidly adapt to changing respiratory viruses circulating around the seasons, but AI-generated suggestions need experts to validate them, and further research is warranted.

Mpox Perceptions and Vaccine Advocacy among the Healthcare Workers of Solid Organ Transplant Centers: A Multicenter, Cross-Sectional Survey in Saudi Arabia.

BACKGROUND: In response to the global Mpox outbreaks, this survey aimed to assess the knowledge, perceptions, and advocacy of Mpox vaccines among solid organ transplant healthcare workers (HCWs) in Saudi Arabia. METHODS: A cross-sectional survey was conducted among solid organ transplant HCWs in Saudi Arabia from 15 August to 5 September 2022. A total of 199 responses were received from participants primarily working in the kidney (54.8%) and liver (14.6%) transplant units. RESULTS: The survey found that most participants were aware of the 2022 Mpox outbreak, but the majority were more concerned about COVID-19 than Mpox. While the majority of participants thought laboratory personnel and HCWs in direct contact with Mpox patients should receive the vaccine, less than 60% believed that all HCWs should be vaccinated. Additionally, over half of the participants lacked knowledge of animal-human transmission of the virus. CONCLUSION: The results highlight the need for increased education on Mpox among transplant HCWs in Saudi Arabia, particularly regarding the virus's transmission dynamics and vaccines. This education is crucial to improve HCWs' understanding of this emerging disease, especially given their vulnerability during the COVID-19 pandemic.

Monkeypox Disease (MPOX) Perceptions among Healthcare Workers versus General Population during the First Month of the WHO Alert: Cross-Sectional Survey in Saudi Arabia.

Background: Monkeypox disease (MPOX) recently re-emerged in May 2022, causing international outbreaks in multiple non-endemic countries. This study demonstrates a novel comparison between the knowledge and perceptions of Saudi healthcare workers (HCWs) and the general public regarding MPOX. Methods: An online survey, conducted from 27 May to 5 June 2022, assessing participants' MPOX and monkeypox virus (MPV) knowledge in terms of transmission, vaccination, isolation precautions, and their attitudes toward seeking more information. Results: A total of 1546 members of the public and 1130 HCWs completed the survey. Briefly, 61.3% of the public and 74.2% of HCWs showed interest in seeking more information about MPOX. Both groups had average overall mean MPOX knowledge scores. Members of the public holding university degrees and those showing high levels of worry regarding MPOX had significantly higher knowledge scores. However, HCWs showed a poor vaccination knowledge score, while only 57% recognized that MPOX can present similarly to COVID-19 in the early stages. Female HCWs and those with high self-rated MPOX awareness had significantly high knowledge scores. HCWs in secondary and tertiary centers had significantly higher knowledge scores. Conclusion: Both groups showed a decent attitude in terms of seeking more MPOX knowledge, which correlated positively with their worry about and awareness of the disease. These observations are mostly as a consequence of the ongoing COVID-19 pandemic, which encouraged the public and HCW to acquire more information about any novel emerging disease. Policymakers should make the most of this attitude in their awareness campaigns to prevent the spread of the disease and encourage vaccination in cases where it is needed. The knowledge gaps among HCWs were most evident in terms of clinical presentation and vaccinations; this problem needs addressing if we are to avoid further emerging MPOX cases.

Parental perceptions and the 5C psychological antecedents of COVID-19 vaccination during the first month of omicron variant surge: A large-scale cross-sectional survey in Saudi Arabia.

Background: With the rapid surge of SARS-CoV-2 Omicron variant, we aimed to assess parents' perceptions of the COVID-19 vaccines and the psychological antecedents of vaccinations during the first month of the Omicron spread. Methods: A cross-sectional online survey in Saudi Arabia was conducted (December 20, 2021-January 7, 2022). Convenience sampling was used to invite participants through several social media platforms, including WhatsApp, Twitter, and email lists. We utilized the validated 5C Scale, which evaluates five psychological factors influencing vaccination intention and behavior: confidence, complacency, constraints, calculation, and collective responsibility. Results: Of the 1,340 respondents, 61.3% received two doses of the COVID-19 vaccine, while 35% received an additional booster dose. Fify four percentage were unwilling to vaccinate their children aged 5-11, and 57.2% were unwilling to give the additional booster vaccine to children aged 12-18. Respondents had higher scores on the construct of collective responsibility, followed by calculation, confidence, complacency, and finally constraints. Confidence in vaccines was associated with willingness to vaccinate children and positively correlated with collective responsibility (p < 0.010). Complacency about COVID-19 was associated with unwillingness to vaccinate older children (12-18 years) and with increased constraints and calculation scores (p < 0.010). While increasing constraints scores did not correlate with decreased willingness to vaccinate children (p = 0.140), they did correlate negatively with confidence and collective responsibility (p < 0.010). Conclusions: The findings demonstrate the relationship between the five antecedents of vaccination, the importance of confidence in vaccines, and a sense of collective responsibility in parents' intention to vaccinate their children. Campaigns addressing constraints and collective responsibility could help influence the public's vaccination behavior.

Monkeypox caused less worry than COVID-19 among the general population during the first month of the WHO Monkeypox alert: Experience from Saudi Arabia.

BACKGROUND: Monkeypox re-emerged in May 2022 as another global health threat. This study assessed the public's perception, worries, and vaccine acceptance for Monkeypox and COVID-19 during the first month of WHO announcement. METHODS: A large-scale, cross-sectional survey was conducted between May 27 and June 5, 2022, in Saudi Arabia. Data were collected on sociodemographic characteristics, previous infection with COVID-19, worry levels regarding Monkeypox compared to COVID-19, awareness, and perceptions of Monkeypox, and vaccine acceptance. RESULTS: Among the 1546 participants, most respondents (62%) were more worried about COVID-19 than Monkeypox. Respondents aged 45 years and above and those with a university degree or higher had lower odds of agreement with Monkeypox vaccination (OR 0.871, p-value 0.006, OR 0.719, p-value <0.001), respectively. Respondents with moderate to a high level of self and family commitment to infection control precautionary measures and those who expressed self and family worry of Monkeypox infection had significantly higher odds of vaccination agreement (OR 1.089 p-value = 0.047, OR1.395 p-value = 0.003) respectively. On the other hand, respondents who previously developed COVID-19 were significantly more worried about the Monkeypox disease (1.30 times more, p-value = 0.020). CONCLUSION: Worry levels amongst the public are higher from COVID-19 than Monkeypox. Perception of Monkeypox as a dangerous and virulent disease, worry from contracting the disease, and high commitment to infection precautionary measures were predictors of agreement with Monkeypox vaccination. While advanced age and high education level are predictors of low agreement with vaccination.

SARS-CoV-2 variants and the global pandemic challenged by vaccine uptake during the emergence of the Delta variant: A national survey seeking vaccine hesitancy causes.

BACKGROUND: Herd immunity for COVID-19 is the ultimate goal to end the pandemic. Emergence of SARS-CoV-2 variants has been a subject of considerable debate regarding vaccines effectiveness. This ongoing discussion and other evolving variables contribute to the hesitancy toward vaccines and levels of vaccination acceptance among both the healthcare workers and the public. This study was conducted to assess COVID-19 vaccine uptake and hesitancy among the Saudi Arabian population during the emergence of SARS-CoV-2 Delta variant. METHODS: A national cross-sectional survey conducted between June 28 and July 5, 2021. The survey collected sociodemographic information, personal and family history of previous COVID-19 infection, adherence to precautionary measures, COVID-19 vaccination status, parental willingness to vaccinate their teenage children, and address variable associated with hesitancy to receive vaccination. RESULTS: Among the 4071 participants, 67 % were women, 86 % of the participants received COVID-19 vaccine, 70 % had very high or high commitment with COVID-19 precautionary measures. On multivariate analysis, vaccine hesitancy was less likely in men (OR 0.652, p-value < 0.001), those who had direct family members infected with COVID-19 (OR 0.455, p-value < 0.001), and those who reported using the Ministry of Health official channels as information sources (OR 0.522, p-value < 0.001), while those younger than 44 years had higher hesitancy to receive the vaccine (1.5-2.1 times). Of the participants, only 42 % showed willingness to vaccinate their teenage (12-18 years old) children. CONCLUSIONS: The participants in this study had high COVID-19 vaccination rate; however, hesitancy was reported more commonly among women. Their willingness to vaccinate their teenage children was much lower. Participants relying on social media platforms were highly hesitant to receive vaccination. Public health officials should scale up their efforts targeting females, young population, and parents by vaccination awareness campaigns, and refute misinformation spread on social media, especially with the emergence of variants and the news burst that coincide with them.

In-Person Schooling Amidst Children's COVID-19 Vaccination: Exploring Parental Perceptions Just after Omicron Variant Announcement.

Background: The SARS-CoV-2 Omicron spread fast globally and became the predominant variant in many countries. Resumption of public regular life activities, including in-person schooling, presented parents with new sources of worry. Thus, it is important to study parental worry about the Omicron variant, willingness to vaccinate their children, and knowledge about school-based COVID-19 precautionary measures. Methods: A national, cross-sectional, pilot-validated online questionnaire targeting parents in the Kingdom of Saudi Arabia (KSA) was distributed between 31 December 2021, and 7 January 2022. The survey included sociodemographic, COVID-19 infection data, parental and children vaccination status, attitudes towards booster vaccine, parents' Omicron-related perceptions and worries, and attitude towards in-person schooling. Results: A total of 1340 participants completed the survey, most (65.3%) of whom were mothers. Of the parents, 96.3% either received two or three doses of the COVID-19 vaccine. Only 32.1% of the parents were willing to vaccinate their young children (5-11 years of age). In relation to their children 12-18 years of age, 48% had already had them vaccinated, 31% were planning to vaccinate them, and 42.8% were willing to administer a booster dose. Only 16% were more worried about the Omicron variant compared to the Delta variant. Residents of western KSA were more worried about Omicron compared to Delta. Parents worried about the Omicron variant and male participants were significantly less aware of school-based COVID-19 precautionary measures. Parents with post-graduate degrees and those having more children were significantly more inclined to send their children to school even if COVID-19 outbreaks could occur in schools, while parents who were more worried about the Omicron variant and were more committed to infection prevention measures were significantly less inclined to do so. Conclusions: Overall, parents had lower worry levels about the Omicron variant compared to the Delta variant. They had a higher willingness to vaccinate their older children compared to the younger ones. In addition, our cohort of parents showed high willingness to send their children to schools and trusted the school-based preventative measures. These findings can inform policy makers when considering school related decisions during the current or future public health crises.

SARS-CoV-2 Omicron Variant: Exploring Healthcare Workers' Awareness and Perception of Vaccine Effectiveness: A National Survey During the First Week of WHO Variant Alert.

Background: As the SARS-CoV-2 Omicron variant spreads in several countries, healthcare workers' (HCWs) perceptions and worries regarding vaccine effectiveness and boosters warrant reassessment. Methods: An online questionnaire among HCWs in Saudi Arabia (KSA) was distributed from Dec 1st-6th 2021 to assess their perceptions, vaccine advocacy to the Omicron variant, and their perception of the effectiveness of infection prevention measures and vaccination to prevent its spread, their Omicron variant related worries in comparison to the other variants, and their agreement with mandatory vaccination in general for adults. Results: Among the 1,285 HCW participants, two-thirds were female, 49.8 % were nurses, 46.4% were physicians, and 50.0% worked in tertiary care hospitals. 66.9% considered vaccination to be the most effective way to prevent the spread of the Omicron variant and future variants. The respondents however perceived social distancing (78.0%), universal masking (77.8%), and avoiding unnecessary travel (71.4%) as slightly superior to vaccination to prevent the spread of SARS-CoV-2 variants. HCWs aging 55 or older agreed significantly with vaccine ineffectiveness to control Omicron spread, while those who believed in non-pharmacological infection prevention measures agreed significantly with vaccination for that purpose. Male HCWs had a significant agreement with mandatory vaccination of all eligible adult populations. On the other hand, unwilling HCWs to receive the vaccine had strong disagreements with mandatory vaccination. Conclusions: The current study in the first week of Omicron showed that only two-thirds of HCWs felt that vaccination was the best option to prevent the spread of the Omicron variant, indicating the need for further motivation campaigns for vaccination and booster dose. HCWs had a strong belief in infection prevention measures to contain the spread of SARS-CoV-2 variants that should be encouraged and augmented.