High-fidelity simulation scenarios provide trainees the opportunity to demonstrate foundational anesthesia skills, complex prioritization, and decision making. One strategy used in trainee assessment is an objective structured clinical examination (OSCE). The purpose of this study was to design an OSCE with a reliable, quantitative grading rubric that could be used as part of a comprehensive assessment strategy to determine readiness for entry into clinical training for nurse anesthesia residents. An observational correlational study was developed to validate four high-fidelity simulation scenarios and accompanying quantitative grading rubrics. The rubrics were tested on junior nurse anesthesia residents and graded by program faculty members. Interrater reliability was tested using Krippendorff's alpha. Three cohorts of nurse anesthesia residents (n = 83) were assessed yielding 330 unique observations. Interrater reliability increased over the duration of the study with an overall reliability coefficient of 0.9092 (95% CI, 0.8509-0.9062), indicating a very high degree of interrater reliability among a variety of raters in complex simulated environments. Development of a quantitative rubric for high-fidelity simulation is achievable and should be considered as part of a summative assessment to differentiate individual student performance and readiness to proceed to clinical training within a front-loaded nurse anesthesia program.
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BMC Med Educ
January 2025
Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Introduction: Ultrasound is important in heart diagnostics, yet implementing effective cardiac ultrasound requires training. While current strategies incorporate digital learning and ultrasound simulators, the effectiveness of these simulators for learning remains uncertain. This study evaluates the effectiveness of simulator-based versus human-based training in Focused Assessed with Transthoracic Echocardiography (FATE).
View Article and Find Full Text PDFComput Biol Med
December 2024
University of Colorado Boulder, Paul M. Rady Department of Mechanical Engineering, Boulder, CO, USA; Biofrontiers Institute, University of Colorado, Boulder, CO, 80309, USA. Electronic address:
Breast cancer cells sense shear stresses in response to interstitial fluid flow in bone and induce specific biological responses. Computational fluid dynamics models have been instrumental in estimating these shear stresses to relate the cell mechanoresponse to exact mechanical signals, better informing experiment design. Most computational models greatly simplify the experimental and cell mechanical environments for ease of computation, but these simplifications may overlook complex cell-substrate mechanical interactions that significantly change shear stresses experienced by cells.
View Article and Find Full Text PDFJ Mech Behav Biomed Mater
December 2024
Department of Mechanical Engineering, The University of Texas at Austin, 204 E. Dean Keeton Street, Austin, TX, 78712, USA; Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin, 2617 Wichita Street, Austin, TX, 78712, USA; Department of Biomedical Engineering, The University of Texas at Austin, 107 W. Dean Keeton Street, Austin, TX, 78712, USA; The Oden Institute for Computational Engineering & Sciences, The University of Texas at Austin, 201 E. 24th Street, Austin, TX, 78712, USA. Electronic address:
Transcatheter edge-to-edge repair (TEER) simulations may provide insight into this novel therapeutic technology and help optimize its use. However, because of the relatively short history and technical complexity of TEER simulations, important questions remain unanswered. For example, there is no consensus on how to handle the annular boundary conditions in these simulations.
View Article and Find Full Text PDFBMC Med Educ
December 2024
University of Strasbourg, Faculty of dentistry, Strasbourg, France.
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View Article and Find Full Text PDFJ Hosp Infect
December 2024
Health - Exposure and Control Group, Health and Safety Executive Science and Research Centre, Buxton, UK. Electronic address:
Background: High consequence infectious diseases (HCID) include contact-transmissible viral haemorrhagic fevers and airborne-transmissible infections such as Middle Eastern Respiratory Syndrome. Assessing suspected HCID cases requires specialised infection control measures including patient isolation, personal protective equipment (PPE), and decontamination. There is need for an accessible course for NHS staff to improve confidence and competence in using HCID PPE outside specialist HCID centres.
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