Background: Delivery of medical ethics education is complex due to various reasons, compounded by the context-dependent nature of the content. The scarcity of relevant resources in the contexts of some developing countries adds a further layer of difficulty to ethics education in these contexts. We used a consultative approach with students, teachers and external experts to develop a practical approach to medical ethics education. This study aimed to develop and refine a contextually relevant approach to ethics education in the region of Saudi Arabia.
Methods: The study utilised an explorative qualitative methodology to seek views of students and faculty of Rabigh Faculty of Medicine, Saudi Arabia, and international experts in the field of ethics and education to review and enhance a new ethics learning strategy which included a workbook-based tool. Three focus groups with 12 students, in-depth interviews with four faculty members and qualitative feedback from eleven external experts enabled the study participants to objectively critique the WBEL and provide feedback to enhance its quality. Thematic content analysis of the data was done to draw inferences which were used to refine the educational strategy.
Results: The analysis generated twenty-one sub-themes within four main themes: design features, content, teaching methods and assessment. These findings helped to design the educational strategy to improve its effectiveness in the given context.
Conclusion: The study drew on the views of students, faculty and external experts to systematically develop a novel approach to ethics education for countries like Saudi Arabia. It also demonstrated the use of the consultative approach for informing a culturally relevant educational strategy in the Middle East context.
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http://dx.doi.org/10.1186/s12909-020-02425-6 | DOI Listing |
JMIR Med Educ
January 2025
College of Medicine, Alfaisal University, Takhasussi street, Riyadh, 11533, Saudi Arabia, 966 559441589.
Background: There has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia.
Objective: The primary objective of the study was to examine the familiarity, usage patterns, and attitudes of Alfaisal University medical students toward ChatGPT and other chat-based AI apps in medical education.
PLoS One
January 2025
Center for International Education and Exchange, Osaka University, Suita, Osaka, Japan.
Background: Artificial intelligence (AI) is anticipated to play a significant role in criminal trials involving citizen jurors. Prior studies have suggested that AI is not widely preferred in ethical decision-making contexts, but little research has compared jurors' reliance on judgments by human judges versus AI in such settings.
Objectives: This study examined whether jurors are more likely to defer to judgments by human judges or AI, especially in cases involving mitigating circumstances in which human-like reasoning may be valued.
Environ Health Perspect
January 2025
Scripps Institution of Oceanography, San Diego, California, USA.
Background: The increasing frequency and severity of extreme heat events due to climate change present unique risks to children and adolescents. There is a lack of evidence regarding how heat's impacts on pediatric patients vary spatially and how structural and sociodemographic factors drive this heterogeneity.
Objectives: We examined the association between extreme heat events and pediatric acute care utilization in California for 19 distinct health conditions.
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFPersonal Disord
January 2025
Faculty of Psychology and Educational Sciences, KU Leuven.
Impairments in mentalizing, the capacity to understand the self and others in terms of intentional mental states, are proposed to play an important role in the emergence of borderline personality disorder (BPD) in adolescence. Although mentalizing problems in adults with BPD have been amply demonstrated, research in adolescence lags behind in terms of both the normative development of mentalizing in adolescence and the relation between different dimensions of mentalizing and adolescent BPD. Therefore, the current study investigated developmental trends and sex-related differences related to different mentalizing dimensions and the associations between mentalizing dimensions and BPD features in a large group of adolescents ( = 456, = 15.
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