We aimed to assess effectiveness of simulation for teaching medical students critical care medicine and to assess which simulation methods were most useful. We searched AMED, EMBASE, MEDLINE, Education Resources Information Centre, British Education Index, Australian Education Index, and bibliographies and citations, in July 2013. Randomized controlled trials comparing effectiveness of simulation with another educational intervention, or no teaching, for teaching medical students critical care medicine were included. Assessments for inclusion, quality, and data extraction were duplicated and results were synthesized using meta-analysis.We included 22 randomized control trials (n = 1325). Fifteen studies comparing simulation with other teaching found simulation to be more effective [standardized mean difference (SMD) = 0.84; 95% confidence interval (CI) = 0.43 to 1.24; P < 0.001; I = 89%]. High-fidelity simulation was more effective than low-fidelity simulation, and subgrouping supported high-fidelity simulation being more effective than other methods. Simulation improved skill acquisition (SMD = 1.01; 95% CI = 0.49 to 1.53) but was no better than other teaching in knowledge acquisition (SMD = 0.41; 95% CI = -0.09 to 0.91).
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http://dx.doi.org/10.1097/SIH.0000000000000189 | DOI Listing |
Chem Biodivers
January 2025
GRT College of Education, Department of Pharmaceutical Chemistry, Tiruttani 631209, Tiruttani, INDIA.
Maternal Embryonic Leucine Zipper Kinase (MELK), a pivotal signaling protein, plays a crucial role in various physiological processes such as cell growth, survival, and differentiation. There is currently a growing interest in MELK as a promising therapeutic target for multiple cancers, including triple-negative breast cancer (TNBC). Exploring MELK as a target offers a prospective strategy to impede cancer progression and enhance the efficacy of conventional anticancer therapies.
View Article and Find Full Text PDFCommun Earth Environ
August 2022
Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, China.
There are large uncertainties in the estimation of greenhouse-gas climate feedback. Recent observations do not provide strong constraints because they are short and complicated by human interventions, while model-based estimates differ considerably. Rapid climate changes during the last glacial period (Dansgaard-Oeschger events), observed near-globally, were comparable in both rate and magnitude to current and projected 21st century climate warming and therefore provide a relevant constraint on feedback strength.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
The University of Sydney School of Health Sciences, Camperdown, NSW, Australia.
Front Med (Lausanne)
January 2025
Clinical Informatics Fellowship Program, Baylor Scott & White Health, Round Rock, TX, United States.
Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME). We review the existing literature and provide commentary on how GenAI could impact GME, including five key areas of opportunity: electronic health record (EHR) workload reduction, clinical simulation, individualized education, research and analytics support, and clinical decision support.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Sasankoti Mohan Ravi Prakash, DMD, MDS, BDS Dentist and Independent Researcher, Hope Health Inc, 360 N Irby St. Florence, South Carolina, USA 29501.
Background & Objective: Currently, there are many implants in clinical use, making it hard to choose the right one for the patient. The success rate of an implant depends on its diameter, length, and direction of insertion in bone. In implant dentistry, Finite Element Analysis (FEA) simulates intraoral conditions in vitro and analyzes the effects of implant material, diameter, size, and other components related to oral structure on the implant and peri-implant tissues.
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