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Background: While there is growing evidence highlighting the prevalence of mental health concerns among university faculty, few studies have examined mental health interventions in this population. The objective of this systematic review and meta-analysis was to collect and critically appraise the available evidence about the effectiveness of interventions designed to improve the mental health of faculty. Methods: A systematic search was conducted by searching PubMed, EMBASE, Scopus, Web of Science, and CINAHL to identify relevant studies published in English language from January 1st, 2000 until October 1st, 2023. The search focused on studies done on academic faculty to describe interventions or support programs aimed at improving mental health outcomes, with comparison of mental health data before and after the intervention and an improvement in mental health as study outcome. A random effect meta-analysis method was used to estimate the effectiveness of interventions on faculty mental health. Results: Ten publications with 891 participants from 2,217 retrieved records were included. The random effect model showed substantial heterogeneity (I2 = 84.8%, 95% CI: 73.8 − 91.2%, p < 0.001). The pooled SMD was − 1.41 (95% CI: -2.81–0.004) showing a large effect, and it significantly favors the use of intervention for reducing mental health issues among faculty members. The effect size estimates for all included studies ranged from small to large, showing the positive effect of intervention on faculty mental health. Multimodal inference analysis showed that, of the many studied factors for faculty mental health, the region was the most important predictor of intervention effectiveness. However, when the significance of quantitative moderators was tested using meta-regression, age (p = 0.9491) and duration of intervention (p = 0.1284) were not statistically significant. Conclusion: Interventions aimed at enhancing the mental health of university faculty were overall significant; however, individual studies showed heterogeneous results. Making efforts to enhance the mental health of faculty is crucial and has been proven effective; nevertheless, the existing evidence necessitates further research in this area. For interventions to be effective, it is imperative to tailor them to the specific environment and to the unique characteristics of faculty members. PROSPERO registration number: CRD42023490388 [ABSTRACT FROM AUTHOR]

Purpose: Continuing professional development (CPD) is an approach for health professionals to preserve and expand their knowledge, skills, and performance, and can contribute to improving delivery of care. However, evidence indicates that simply delivering CPD activities to health professionals does not lead to a change in practice. This review aimed to collate, summarize, and categorize the literature that reported the views and experiences of health professionals on implementing into practice their learning from CPD activities. Methods: This review was guided by the Joanna Briggs Institute Reviewers' Manual methodology for scoping reviews. Three databases, PubMed, Embase and Cumulative Index to Nursing and Allied Health Literature (CINAHL), were systematically searched in February 2023 for articles published since inception. Two independent reviewers screened the articles against the inclusion criteria, and completed the data extraction. Data were summarized quantitatively, and the findings relating to views and experiences were categorized into challenges and facilitators. Results: Thirteen articles were included. Implementation of learning was not the primary focus in the majority of studies. Studies were published between 2008-2022; the majority were conducted in North America and nurses were the most common stakeholder group among Healthcare Professionals (HCPs). Five studies adopted qualitative methods, four quantitative studies, and four mixed-methods studies. The reported barriers of implementation included lack of time and human resource; the facilitators included the nature of the training, course content and opportunity for communal learning. Conclusion: This review highlights a gap in the literature. Available studies indicate some barriers for health professionals to implement their learning from CPD activities into their practice. Further studies, underpinned with appropriate theory and including all relevent stakeholders are required to investigate strategies that may facilitate the integration of learning from CPD into routine practice. [ABSTRACT FROM AUTHOR]

Objectives: With Artificial Intelligence (AI) profoundly affecting education, ensuring that students in health disciplines are ready to embrace AI is essential for their future workforce integration. This study aims to explore dental students' readiness to use AI, perceptions about AI in health education and healthcare, and their AI‐related educational needs. Material and Methods: A cross‐sectional survey was conducted among dental students at the College of Dental Medicine, Qatar University. The survey assessed readiness for AI using the Medical Artificial Intelligence Readiness Scale (MAIRS). Students' perceptions of AI in healthcare and health education and their educational needs were also explored. Results: A total of 94 students responded to the survey. AI readiness scores were average (3.3 ± 0.64 out of 5); while participants appeared more ready for the vision and ethics domains of MAIRS, they showed less readiness regarding cognition and ability. Participants scored average on AI perceptions (3.35 ± 0.45 out of 5), with concerns regarding AI risks and disadvantages. They expressed a high need for knowledge and skills related to AI use in healthcare (84%), AI for health‐related research (81.9%), and AI in radiology and imaging procedures (79.8%). Student readiness had a significant correlation with AI perceptions and perceived level of AI knowledge. Conclusions: This is the first study in Qatar exploring dental students' AI readiness, perceptions, and educational needs regarding AI applications in education and healthcare. The perceived AI knowledge gaps could inform future curricular AI integration. Advancing AI skills and deepening AI comprehension can empower future dental professionals through anticipated advances in the AI‐driven healthcare landscape. [ABSTRACT FROM AUTHOR]

Background: Across higher education, student retention, progression, and graduation are considered essential elements of students' academic success. However, there is scarce literature analyzing these attributes across health professions education. The current study aims to explore rates of student retention, progression, and graduation across five colleges of the Health Cluster at Qatar University, and identify predictive factors. Methods: Secondary longitudinal data for students enrolled at the Health Cluster between 2015 and 2021 were subject to descriptive statistics to obtain retention, progression and graduation rates. The importance of student demographic and academic variables in predicting retention, progression, or graduation was determined by a predictive model using XGBoost, after preparation and feature engineering. A predictive model was constructed, in which weak decision tree models were combined to capture the relationships between the initial predictors and student outcomes. A feature importance score for each predictor was estimated; features that had higher scores were indicative of higher influence on student retention, progression, or graduation. Results: A total of 88% of the studied cohorts were female Qatari students. The rates of retention and progression across the studied period showed variable distribution, and the majority of students graduated from health colleges within a timeframe of 4–7 years. The first academic year performance, followed by high school GPA, were factors that respectively ranked first and second in importance in predicting retention, progression, and graduation of health majors students. The health college ranked third in importance affecting retention and graduation and fifth regarding progression. The remaining factors including nationality, gender, and whether students were enrolled in a common first year experience for all colleges, had lower predictive importance. Conclusions: Student retention, progression, and graduation at Qatar University Health Cluster is complex and multifactorial. First year performance and secondary education before college are important in predicting progress in health majors after the first year of university study. Efforts to increase retention, progression, and graduation rates should include academic advising, student support, engagement and communication. Machine learning-based predictive algorithms remain a useful tool that can be precisely leveraged to identify key variables affecting health professions students' performance. [ABSTRACT FROM AUTHOR]

In recent years, there has been increasing recognition of mental health concerns in academia, with stress, burnout, anxiety, and depression being reported among faculty members. The demanding work environment, the need to balance personal and professional duties, and the constant pressure of productivity while navigating multiple tasks of teaching, research, mentorship, professional development, and service all impact the mental health and overall well-being of faculty. Higher education institutions have structurally changed as has the research landscape. These changes as well as faculty-specific and student-specific factors coupled to the effect of the COVID-19 pandemic have led to profound effects on the mental health of academics. This paper is a narrative review of the pertinent literature describing faculty mental health and well-being. It summarizes the available evidence on factors influencing faculty mental health and shows the prevalence of anxiety, depression, stress, and burnout among faculty from various academic fields and along the whole academic ladder. Using a suggested framework that collates the efforts of leaders and faculty, the paper concludes by exploring strategies that promote work–life balance among academics and suggesting effective interventions to improve their mental health outcomes. [ABSTRACT FROM AUTHOR]