Objective: This study evaluated the usefulness of a medical transport simulation to increase residents' understanding of medical transport.
Methods: Twenty-four medical residents participated in an intensive half-day medical transport simulation experience. Two questionnaires were administered, a pre/postsimulation questionnaire containing 11 questions that assessed the impact of the simulation training and a questionnaire that assessed realism of the flight simulator.
Results: There were statistically significant differences between the pre/postsimulation questions assessing perceived level of knowledge, experience, and training of transferring a patient in a helicopter with a mean change of 25 points on a 0 to 100 scale (P ≤ .001) and awareness of obstacles to treating patients during air transport exhibiting a mean change of 28 (P ≤ .001). The mean stress level for all participants increased from 32 (0-100 scale) before the start of the simulation to 47 during the simulation and decreased to 31 after the simulation (F = 20.67, P ≤ .001).
Conclusion: The findings from this study provide evidence that the air medical simulation experience increases residents' perceived awareness of the context and difficulties of transferring a patient by helicopter and that the experience would influence their medical decision making in their future practice related to patient transfers.
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http://dx.doi.org/10.1016/j.amj.2020.04.009 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Institut für Physiologie II, Universitätsklinikum Jena, Friedrich-Schiller-Universität Jena, Jena 07740, Germany.
In mammals, the four subunit isoforms HCN1-4 assemble to form functional homotetrameric and heterotetrameric hyperpolarization-activated cyclic nucleotide-modulated (HCN) ion channels. Despite the outstanding relevance of HCN channels for organisms, including generating electrical rhythmicity in cardiac pacemaker cells and diverse types of brain neurons, key channel properties are still elusive. In particular, the unitary conductance, of HCN channels is highly controversial.
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Key Laboratory for Laser Plasmas and School of Physics and Astronomy, and Collaborative Innovation Center of IFSA, Shanghai Jiao Tong University, Shanghai 200240, China.
Time-dependent density functional theory (TDDFT) is widely used for understanding and predicting properties and behaviors of matter. As one of the fundamental theorems in TDDFT, Van Leeuwen theorem [Phys. Rev.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Department of Chemical Engineering, Indian Institute of Science, Bengaluru, Karnataka 560012, India.
Heteropolar two-dimensional materials, including hexagonal boron nitride (hBN), are promising candidates for seawater desalination and osmotic power harvesting, but previous simulation studies have considered bare, unterminated nanopores in molecular dynamics (MD) simulations. There is presently a lack of force fields to describe functionalized nanoporous hBN in aqueous media. To address this gap, we conduct density functional theory (DFT)-based ab initio MD simulations of hBN nanopores surrounded by water molecules.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Physics and Astronomy & Wright Center for Photovoltaic Innovation and Commercialization, The University of Toledo, Toledo, Ohio 43606, United States.
Wide band gap FACsPb(IBr) perovskite photovoltaic (PV) devices are measured by spectroscopic ellipsometry in the through-the-glass configuration and analyzed to determine the complex optical property spectra of the perovskite absorber as well as the structural properties of all constituent layers. This information is used to simulate external quantum efficiency (EQE) spectra, to calculate PV device performance parameters such as short circuit current density, open circuit voltage, fill factor, and power conversion efficiency, and to develop strategies for increasing the accuracy of predictions. Simulations and calculations tend to overestimate PV device performance parameters, undermining the accuracy and usefulness of those simulations.
View Article and Find Full Text PDFEnergy Fuels
January 2025
Geothermal Energy and Geofluids Group, Institute of Geophysics, Department of Earth and Planetary Sciences, ETH Zurich, Zurich 8092, Switzerland.
Carbon capture and storage (CCS) and CO-based geothermal energy are promising technologies for reducing CO emissions and mitigating climate change. Safe implementation of these technologies requires an understanding of how CO interacts with fluids and rocks at depth, particularly under elevated pressure and temperature. While CO-bearing aqueous solutions in geological reservoirs have been extensively studied, the chemical behavior of water-bearing supercritical CO remains largely overlooked by academics and practitioners alike.
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