Introduction: Simulation is an educational tool for developing the technical and nontechnical skills of dental students. To optimize learning in simulations, students must be immersed in a high-fidelity environment and emotionally engaged, as is the case in clinical practice. The primary objective of this study was to assess emotions during simulation training and in clinical practice. A commonly practiced procedure, dental extraction, was used as a guideline for this work.
Materials And Methodology: A self-administered questionnaire related to the emotions experienced by the dental students was completed immediately after each dental extraction was performed in the clinic or simulation. The clinical case was a pediatric patient.
Results: The emotions experienced in the simulation were similar to those experienced by a student during clinical practice. Students enjoy caring for their patients but lose their composure more easily with difficult children. The students reported being more stressed and having difficulty communicating with younger patients. They acknowledged that their emotions could sometimes influence their care of the patient.
Discussion: Emotions can influence clinical decision-making. On the other hand, the role of emotions in learning must be considered by teachers so as not to discourage students. Teachers must balance exposure to emotionally charged situations with a method that is conducive to learning.
Conclusion: Simulation helps train students in clinical practice and can include the same range of emotions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1186/s12909-024-06577-7 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11687138 | PMC |
BMC Health Serv Res
January 2025
Institute for Health and Nursing Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Background: Cancer requires interdisciplinary intersectoral care. The Care Coordination Instrument (CCI) captures patients' perspectives on cancer care coordination. We aimed to translate, adapt, and validate the CCI for Germany (CCI German version).
View Article and Find Full Text PDFArthritis Res Ther
January 2025
Department of Biomedical Sciences, Humanitas University, Via R Levi Montalcini 4, Pieve Emanuele, Milan, 20090, Italy.
Background: There is still a significant proportion of patients with rheumatoid arthritis (RA) in whom multiple therapeutic lines are ineffective. These cases are defined by the EULAR criteria as Difficult-to-Treat RA (D2T-RA) for which there is limited knowledge of predisposing factors.
Objective: To identify the clinical features associated with D2T-RA in real-life practice.
Trials
January 2025
MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, 90 High Holborn, London, WC1V 6LJ, UK.
Need For A Strategic Approach To Knowledge Transfer And Exchange: Late-phase clinical trials and systematic reviews find results that have the potential to improve health outcomes for people. However, there are often delays in these results influencing clinical practice. We developed a knowledge transfer and exchange strategy to support research teams, aiming to identify activities along the research process to maximise and accelerate the research impact.
View Article and Find Full Text PDFBiomark Res
January 2025
Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.
Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.
Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).
BMC Health Serv Res
January 2025
Institute of General Practice/Family Medicine, Philipps-University of Marburg, Karl-Von-Frisch-Straße 4, 35043, Marburg, Germany.
Background: Rising costs are a challenge for healthcare systems. To keep expenditure for drugs under control, in many healthcare systems, drug prescribing is continuously monitored. The Bavarian Drug Agreement (German: Wirkstoffvereinbarung or WSV) for the ambulatory sector in Bavaria (the federal state of Germany) was developed for this purpose.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!