Introduction There is an increasing evidence base for the use of simulation-based medical education. Simulation is superior to more didactic methods for teaching a range of technical and non-technical skills, and students report they often derive more educational value from it compared with other teaching methods. There is currently limited evidence that simulation training improves clinical decision-making and, therefore, this pilot study sought to explore this further. Methods Students were randomised to take part in either five classroom tutorials and simulation training sessions or five classroom tutorials and an online e-learning module. On completion of the teaching, students all undertook an unseen assessment scenario (managing a simulated patient with anaphylaxis), where they were scored using a weighted marking scheme. The time taken to make decisions and student-reported confidence in decisions were also measured. Results 14/14 simulation-group participants and 12/14 e-learning-group participants completed the post-learning assessment. The simulation group identified anaphylaxis and gave adrenaline more quickly (p 0.008 and 0.005, respectively), and this cohort was more confident in making the diagnosis (p 0.044). There was no statistically significant difference between weighted global assessment scores for each group (p 0.705). The e-learning group called for help more quickly (p.0.049), although fewer students in this group called for help (five vs. nine). There was no statistical difference in confidence in decisions to administer adrenaline or call for help (p 0.539 and 0.364 respectively). Conclusions Participants who undertook simulation training were able to more confidently and quickly identify the diagnosis and initiate emergency treatment. However, there was not a statistically significant difference between groups using an overall weighted score. Using simulation to train students to perform better in emergencies and improve their decision-making shows promise but a further quantitative study is required.
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http://dx.doi.org/10.7759/cureus.7650 | DOI Listing |
Palliat Support Care
January 2025
Department of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, VA, USA.
Objectives: To incorporate a longitudinal palliative care curriculum into obstetrics and gynecology (Ob-Gyn) residency that could become standardized to ensure competencies in providing end of life (EOL) care.
Methods: This was a prospective cohort study conducted among 23 Ob-Gyn residents at a tertiary training hospital from 2021 to 2022. A curriculum intervention was provided via lecture and simulation.
Palliat Support Care
January 2025
Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Objectives: Explore humanitarian healthcare professionals' (HCPs) perceptions about implementing children's palliative care and to identify their educational needs and challenges, including learning topics, training methods, and barriers to education.
Methods: Humanitarian HCPs were interviewed about perspectives on children's palliative care and preferences and needs for training. Interviews were transcribed, coded, and arranged into overarching themes.
Brief Bioinform
November 2024
Biotherapeutics Molecule Discovery, Boehringer Ingelheim Pharmaceutical Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States.
Antibody generation requires the use of one or more time-consuming methods, namely animal immunization, and in vitro display technologies. However, the recent availability of large amounts of antibody sequence and structural data in the public domain along with the advent of generative deep learning algorithms raises the possibility of computationally generating novel antibody sequences with desirable developability attributes. Here, we describe a deep learning model for computationally generating libraries of highly human antibody variable regions whose intrinsic physicochemical properties resemble those of the variable regions of the marketed antibody-based biotherapeutics (medicine-likeness).
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Preventive Medicine, Shantou University Medical College, Shantou, China.
Background: Colon adenocarcinoma (COAD) is a malignancy with a high mortality rate and complex biological characteristics and heterogeneity, which poses challenges for clinical treatment. Anoikis is a type of programmed cell death that occurs when cells lose their attachment to the extracellular matrix (ECM), and it plays a crucial role in tumor metastasis. However, the specific biological link between anoikis and COAD, as well as its mechanisms in tumor progression, remains unclear, making it a potential new direction for therapeutic strategy research.
View Article and Find Full Text PDFJ Educ Health Promot
December 2024
Faculty of Medicine and Pharmacy, University Mohammed V in Rabat, Morocco.
Background: The confluence of recent events has led to a notable increase in the use of health simulation. This work aimed to present and describe the first masterclass program in healthcare simulation dedicated to trainers at Rabat's Faculty of Medicine and Pharmacy with the close collaboration of Mohammad VI Foundation of Health and Sciences for its first edition in Morocco.
Materials And Methods: This was an observational study.
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