Percorrer por autor "Riad, Abanoub"
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- Career aspirations of dental students : insights from a multinational study using social cognitive career theory (SCCT)Publication . Riad, Abanoub; Elsheikh, Lamis; Domnori, Silvi; Fratila, Aurora Doris; Carter, Charlotte; Kaya, Deniz Devrim; Volevach, Ekaterina; England, Rachael; Morgado, Mariana; Issa, Julien; Attia, Sameh; Armstrong, Mick; Hammer, Doniphan; Baigulakov, Azamat; IADS Delegates; EDSA DelegatesBackground: Dental students' career choices are shaped by many factors, including their personal abilities and goals, environmental factors and the resources available to them. Understanding the drivers for this career pathway decision is crucial for educational institutions' development of comprehensive curricula. This study applies Social Cognitive Career Theory (SCCT) to investigate the professional aspirations of dental students globally, providing insights into the factors that influence career choices of dental students from different regions to understand how personal, socioeconomic and cultural differences influence their decisions. Methods: A cross-sectional, multicentred survey was conducted between May and July 2023, involving 1964 dental students from over 20 countries. Self-administered questionnaires based on SCCT were used to assess participants' self-efficacy, professional and personal outcome expectations, career goals, and career path preferences. Statistical analysis, including multivariable logistic regression and mediation analysis, was employed to identify the relationships between the SCCT framework, sociodemographic factors and career aspirations. Results: The study revealed that 51.2% of participants preferred a specialty in clinical dentistry, while 28.1% aimed for general dentistry. Mediation analysis demonstrated notable pathways from career planning training to career aspirations through self-efficacy, professional and personal expectations. Self-efficacy mediated 26.7%–98.65% of the effect on career preferences coming forward as a key mediator. Demographic statistics demonstrated that regional and economic differences significantly impacted students’ career choice, where students from higher-income countries reported more likely to choose general dentistry and those from lower-income countries were more drawn to specialty fields or public health. Conclusions: This study offers new insights into the global career aspirations of dental students through the prism of the SCCT. These findings highlight the need for dental schools and associations to offer tailored career planning training based on students' backgrounds at an early phase of their education. Providing support and career guidance, especially in underserved regions, can help students make informed decisions that align with their personal and professional goals. This will ultimately contribute to a more diverse and well-prepared global dental workforce.
- Global prevalence and drivers of dental students’ COVID-19 vaccine hesitancyPublication . Riad, Abanoub; Abdulqader, Huthaifa; Morgado, Mariana; Domnori, Silvi; Koščík, Michal; Mendes, José João; Klugar, Miloslav; Kateeb, Elham; on behalf of IADS-SCOREBackground: Acceleration of mass vaccination strategies is the only pathway to overcome the COVID-19 pandemic. Healthcare professionals and students have a key role in shaping public opinion about vaccines. This study aimed to evaluate the attitudes of dental students globally towards COVID-19 vaccines and explore the potential drivers for students’ acceptance levels. Methods: A global cross-sectional study was carried out in February 2021 using an online questionnaire. The study was liaised by the scientific committee of the International Association of Dental Students (IADS), and data were collected through the national and local coordinators of IADS member organizations. The dependent variable was the willingness to take the COVID-19 vaccine, and the independent variables included demographic characteristics, COVID-19-related experience, and the drivers of COVID-19 vaccine-related attitude suggested by the WHO SAGE. Results: A total of 6639 students from 22 countries, representing all world regions, responded to the questionnaire properly. Their mean age was 22.1 ± 2.8 (17–40) years, and the majority were females (70.5%), in clinical years (66.8%), and from upper-middle-income economies (45.7%). In general, 22.5% of dental students worldwide were hesitant, and 13.9% rejected COVID-19 vaccines. The students in low- and lower-middle-income (LLMI) economies had significantly higher levels of vaccine hesitancy compared to their peers in upper-middle- and high-income (UMHI) economies (30.4% vs. 19.8%; p < 0.01). Conclusions: The global acceptance level of dental students for COVID-19 vaccines was suboptimal, and their worrisome level of vaccine hesitancy was influenced by the socioeconomic context where the dental students live and study. The media and social media, public figures, insufficient knowledge about vaccines, and mistrust of governments and the pharmaceutical industry were barriers to vaccination. The findings of this study call for further implementation of epidemiology (infectious diseases) education within undergraduate dental curricula.
- Universal predictors of dental students’ attitudes towards COVID-19 vaccination : machine learning-based approachPublication . Riad, Abanoub; Huang, Yi; Abdulqader, Huthaifa; Morgado, Mariana; Domnori, Silvi; Koščík, Michal; Mendes, José João; Klugar, Miloslav; Kateeb, Elham; IADS-SCOREBackground: young adults represent a critical target for mass-vaccination strategies of COVID-19 that aim to achieve herd immunity. Healthcare students, including dental students, are perceived as the upper echelon of health literacy; therefore, their health-related beliefs, attitudes and behaviors influence their peers and communities. The main aim of this study was to synthesize a data-driven model for the predictors of COVID-19 vaccine willingness among dental students. Methods: a secondary analysis of data extracted from a recently conducted multi-center and multi-national cross-sectional study of dental students’ attitudes towards COVID-19 vaccination in 22 countries was carried out utilizing decision tree and regression analyses. Based on previous literature, a proposed conceptual model was developed and tested through a machine learning approach to elicit factors related to dental students’ willingness to get the COVID-19 vaccine. Results: machine learning analysis suggested five important predictors of COVID-19 vaccination willingness among dental students globally, i.e., the economic level of the country where the student lives and studies, the individual’s trust of the pharmaceutical industry, the individual’s misconception of natural immunity, the individual’s belief of vaccines risk-benefit-ratio, and the individual’s attitudes toward novel vaccines. Conclusions: according to the socio-ecological theory, the country’s economic level was the only contextual predictor, while the rest were individual predictors. Future research is recommended to be designed in a longitudinal fashion to facilitate evaluating the proposed model. The interventions of controlling vaccine hesitancy among the youth population may benefit from improving their views of the risk-benefit ratio of COVID-19 vaccines. Moreover, healthcare students, including dental students, will likely benefit from increasing their awareness of immunization and infectious diseases through curricular amendments.