Background And Objective: In medical education, the challenging constructs of emotional intelligence and professionalism are increasingly being addressed worldwide and seem to share common characteristic components. The objective of this study was to determine the association between emotional intelligence and professionalism as perceived and self-reported by medical students and to explore the gender difference in these two variables.
Methods: It is a cross-sectional study of eight months duration, from February-September 2019, that included final year medical students at Dow Medical College through convenience sampling. The participants completed the self-reporting questionnaires of trait emotional intelligence and modified professionalism mini evaluation exercise. Pearson correlation coefficient was applied to determine the association between the emotional intelligence and professionalism scores. Independent T test was used to determine the gender difference for these two variables.
Results: Emotional Intelligence and professionalism scores were found to be positively and significantly correlated with moderate strength of association (r =0.412). There was no significant difference of emotional intelligence and professionalism scores of males and females.
Conclusions: Increase in emotional intelligence is associated with the increase in professionalism among medical students.
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http://dx.doi.org/10.12669/pjms.41.1.9748 | DOI Listing |
Int J Med Educ
January 2025
Department of Medicine, Vanderbilt University Medical Center, USA.
Objectives: We aimed to determine if shared decision-making (SDM) self-assessment of a standardized patient (SP) scenario was reliable, specifically whether students' communication resulted in each SP-student pair reporting internally consistent final treatment choices. We hypothesized student self-assessment would differ from SP and faculty assessment indicating a need for multisource feedback.
Methods: In this observational case study from 2016-2017, all third-year post-clerkship medical students received evidence-based treatment options for sinusitis and SDM lectures followed by a SP encounter on sinusitis.
Front Psychiatry
January 2025
Department of Psychology, Faculty of Social Sciences, Universidad Central "Marta Abreu" de Las Villas, Santa Clara, Villa Clara, Cuba.
Introduction: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificial intelligence (AI) with the depth of neuropsychological assessments is needed.
Objectives: This paper presents a novel protocol for AI-assisted neurocognitive assessment aimed at addressing the cognitive, emotional, and functional dimensions of older adults with psychiatric disorders.
Behav Res Methods
January 2025
CogNosco Lab, Department of Psychology and Cognitive Sciences, University of Trento, Trento, Italy.
We introduce EmoAtlas, a computational library/framework extracting emotions and syntactic/semantic word associations from texts. EmoAtlas combines interpretable artificial intelligence (AI) for syntactic parsing in 18 languages and psychologically validated lexicons for detecting the eight emotions in Plutchik's theory. We show that EmoAtlas can match or surpass transformer-based natural language processing techniques, BERT or large language models like ChatGPT 3.
View Article and Find Full Text PDFJ Autism Dev Disord
January 2025
Leo Kannerhuis, Youz (Parnassia Group), Arnhem/Amsterdam, The Netherlands.
Research shows heterogeneity in experiences of social contact and social networks in autistic adults. In this study, we aim to identify clusters of social support networks and investigate associations of clusters with mastery, quality of life, and autism characteristics. Autistic adults (N = 381; 45.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Background: Maintaining the physical and psychological well-being of healthcare workers (HCWs) is crucial for health system resilience. In sub-Saharan Africa, particularly Uganda, HCWs faced significant challenges during the coronavirus disease 2019 (COVID-19) pandemic, compounded by pre-existing resource constraints. This study investigated challenges faced by HCWs at a designated COVID-19 hospital ('the Hospital') and explored determinants of maintaining healthcare personnel's motivation during the COVID-19 pandemic in Uganda.
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