Obstetric emergencies are critical situations that jeopardize the health of both the mother and the baby during pregnancy or childbirth. This study aimed to validate the effectiveness of clinical simulation training in managing these situations. We conducted a narrative review of studies published between 2008 and 2022, collected from databases including Scopus, Sciencedirect, PubMed, Springer, Scielo, and Google Scholar. Data from studies that met our inclusion criteria were meticulously gathered and summarized. Our findings strongly emphasize that clinical simulation emerges as a highly effective tool in the training of healthcare professionals. This training translates into substantial improvements in various aspects, including performance, knowledge, confidence, satisfaction, attitudes, self-efficacy, teamwork abilities, and the skills necessary to confront critical obstetric situations such as postpartum hemorrhage, eclampsia, shoulder dystocia, maternal cardiac arrest, umbilical cord prolapse, and cesarean sections. Importantly, this training reduces the inherent risks associated with learning on real patients and aligns with the highest ethical standards. Additionally, our results underscore that interdisciplinary collaboration in the management of obstetric emergencies proves to be an effective strategy for providing comprehensive patient care. However, it is crucial to highlight that, in order to ensure patient safety and promote a teamwork approach, it is imperative for healthcare professionals to receive adequate training and be duly qualified. Although we acknowledge that implementing clinical simulation training can entail significant costs and require substantial resources, we firmly believe that this strategy continues to hold immeasurable value in the education of professionals in this field. Ultimately, we anticipate that future high-quality research will further fortify the evidence base regarding best practices in clinical simulation training for obstetric emergencies, thus contributing to enhanced patient outcomes and the overall quality of healthcare in this critical domain.
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http://dx.doi.org/10.5867/medwave.2023.10.2712 | DOI Listing |
Eur J Orthod
December 2024
Department of General Surgery and Medical-Surgical Specialties, Section of Orthodontics, University of Catania, Policlinico Universitario 'Gaspare Rodolico-San Marco', Via Santa Sofia 78, 95123, Catania, Italy.
Background/objectives: Evidence suggests nasal airflow resistance reduces after rapid maxillary expansion (RME). However, the medium-term effects of RME on upper airway (UA) airflow characteristics when normal craniofacial development is considered are still unclear. This retrospective cohort study used computer fluid dynamics (CFD) to evaluate the medium-term changes in the UA airflow (pressure and velocity) after RME in two distinct age-based cohorts.
View Article and Find Full Text PDFJ Esthet Restor Dent
January 2025
Department of Prosthodontics, Propaedeutics and Dental Materials, School of Dentistry, Christian-Albrechts University at Kiel, Kiel, Germany.
Objective: Investigation of the mechanical properties of occlusal veneers made from zirconia with varying translucency, bonded to different tooth substrates.
Materials And Methods: Sixty-four extracted molars were divided into two groups: preparation within enamel (E) or extending into dentin (D). Veneers were milled from four zirconia ceramics (n = 8): 5Y-TZP (HT), a multilayer of 5 and 3Y-TZP (GT), 3Y-TZP (LT), and 4Y-TZP (MT).
Front Public Health
January 2025
Department of Nursing, Physiotherapy and Medicine, University of Almería, Almería, Spain.
Introduction: Patient-centered communication is an essential skill in nursing, particularly in the care of older adult patients. However, generation Z nursing students, who primarily communicate through digital platforms, face unique challenges in adapting to traditional face-to-face communication with older adults. As a result, there is a need for teaching methods that align with this generation's learning style to enhance their communication skills.
View Article and Find Full Text PDFNovel multiplexed spatial proteomics imaging platforms expose the spatial architecture of cells in the tumor microenvironment (TME). The diverse cell population in the TME, including its spatial context, has been shown to have important clinical implications, correlating with disease prognosis and treatment response. The accelerating implementation of spatial proteomic technologies motivates new statistical models to test if cell-level images associate with patient-level endpoints.
View Article and Find Full Text PDFThe shoulder joint complex is prone to musculoskeletal issues, such as rotator cuff-related pain, which affect two-thirds of adults and often result in suboptimal treatment outcomes. Current musculoskeletal models used to understand shoulder biomechanics are limited by challenges in personalization, inaccuracies in predicting joint and muscle loads, and an inability to simulate anatomically accurate motions. To address these deficiencies, we developed a novel, personalized modeling framework capable of calibrating subject-specific joint centers and functional axes for the shoulder complex.
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