Introduction: Simulation-based training has emerged as a vital component of healthcare education. This study aims to characterize Portuguese simulation centers concerning their geographic distribution and key features, providing stakeholders with valuable insights to inform strategic decisions.
Methods: A cross-sectional survey-based study was conducted over two years (2021-2023) to investigate the geographical dispersion and characteristics of simulation centers in Portugal. Descriptive statistics and thematic analysis were used to analyze data.
Results: Twenty-three Portuguese simulation centers were included. Major urban areas and coastal regions bring together 20 simulation centers (86.96%). A large percentage (71.93%) of centers were affiliated with academic institutions, while five centers (21.74%) were clinically affiliated. Emergency care, Anesthesiology and Intensive Medicine, Pediatrics, and Gynecology and Obstetrics were identified as the national key areas of intervention.
Discussion: Significant geographical disparity raises concerns about unequal access to professional training opportunities using simulation. Centers should be encouraged to incorporate developing technologies and innovative pedagogical methodologies and to expand their training repertoire into relatively uncharted territories.
Conclusion: Several issues have been identified within the national simulation network. Stakeholders and policymakers should prioritize equitable access, bolster the prevalence of clinical affiliated centers, foster innovation, and facilitate strategic coordination.
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http://dx.doi.org/10.7759/cureus.56278 | DOI Listing |
Front Syst Neurosci
December 2024
Universidade Federal de Goias, School of Electrical, Mechanical and Computer Engineering, Goiânia, Brazil.
Dysfunction in fear and stress responses is intrinsically linked to various neurological diseases, including anxiety disorders, depression, and Post-Traumatic Stress Disorder. Previous studies using in vivo models with Immediate-Extinction Deficit (IED) and Stress Enhanced Fear Learning (SEFL) protocols have provided valuable insights into these mechanisms and aided the development of new therapeutic approaches. However, assessing these dysfunctions in animal subjects using IED and SEFL protocols can cause significant pain and suffering.
View Article and Find Full Text PDFJ Biomed Opt
June 2024
Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.
Significance: Pulse oximeter measurements are commonly relied upon for managing patient care and thus often require human testing before they can be legally marketed. Recent clinical studies have also identified disparities in their measurement of blood oxygen saturation by race or skin pigmentation.
Aim: The development of a reliable bench-top performance test method based on tissue-simulating phantoms has the potential to facilitate pre-market assessment and the development of more accurate and equitable devices.
Cureus
December 2024
Biostatistics, The Oxford Center, Brighton, USA.
Using simulated data with duplicate observational data points, this research aims to highlight the notable efficiency of repeated measures analysis of variance (ANOVA) compared to one-way ANOVA as a more powerful statistical model. One of the principal advantages of repeated measures ANOVA is its design, in which each subject acts as their own control. This methodology allows for the statistical mitigation of individual differences among subjects, thereby reducing extraneous variability (noise) that can obscure the effects of the experimental conditions under investigation.
View Article and Find Full Text PDFChem Sci
December 2024
State Key Laboratory of Physical Chemistry of Solid Surfaces, iChEM, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China
The altered solvation structures and dynamical properties of water molecules at the metal/water interfaces will affect the elementary step of an electrochemical process. Simulating the interfacial structure and dynamics with a realistic representation will provide us with a solid foundation to make a connection with experimental studies. To surmount the accuracy-efficiency tradeoff and provide dynamical insights, we use state-of-the-art machine learning molecular dynamics (MLMD) to study the water exchange dynamics, which are fundamental to adsorption/desorption and electrochemical reaction steps.
View Article and Find Full Text PDFTher Adv Med Oncol
January 2025
Department of Oncology, Zhuzhou Second Hospital, Zhuzhou, Hunan 412000, China.
Background: Both the antibody-drug conjugate (ADC) enfortumab vedotin (EV) and programmed death-1 inhibitor pembrolizumab have been shown to provide survival benefits in patients previously treated with locally advanced or metastatic urothelial carcinoma (la/mUC). Cost-effectiveness is necessary to consider whether the increased efficacy of the two therapies will lead to higher prices for first-line treatment of previously untreated la/mUC.
Objectives: To guide the choice of EV plus pembrolizumab or chemotherapy for patients with previously untreated la/mUC.
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