Background: The use of simulation-based team training has increased over the past decades. Simulation-based team training within emergency medicine and critical care contexts is best known for its use by trauma teams and teams involved in cardiac arrest. In the domain of emergency medicine, simulation-based team training is also used for other typical time-critical clinical presentations. We aimed to review the existing literature and current state of evidence pertaining to non-technical skills obtained via simulation-based team training in emergency medicine and critical care contexts, excluding trauma and cardiac arrest contexts.
Methods: This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Before the initiation of the study, the protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) database. We conducted a systematic literature search of 10 years of publications, up to December 17, 2019, in the following databases: PubMed/MEDLINE, EMBASE, Cochrane Library, and CINAHL. Two authors independently reviewed all the studies and extracted data.
Results: Of the 456 studies screened, 29 trials were subjected to full-text review, and 13 studies were included in the final review. None of the studies was randomized controlled trials, and no studies compared simulation training to different modalities of training. Studies were heterogeneous; they applied simulation-training concepts of different durations and intensities and used different outcome measures for non-technical skills. Two studies reached Kirkpatrick level 3. Out of the remaining 11 studies, nine reached Kirkpatrick level 2, and two reached Kirkpatrick level 1.
Conclusions: The literature on simulation-based team training in emergency medicine is heterogeneous and sparse, but somewhat supports the hypothesis that simulation-based team training is beneficial to teams' knowledge and attitudes toward non-technical skills (Kirkpatrick level 2). Randomized trials are called for to clarify the effect of simulation compared to other modalities of team training. Future research should focus on the transfer of skills and investigate improvements in patient outcomes (Kirkpatrick level 4).
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816464 | PMC |
http://dx.doi.org/10.1186/s41077-021-00154-4 | DOI Listing |
Creating the Babel Fish, a tool that helps individuals translate speech between any two languages, requires advanced technological innovation and linguistic expertise. Although conventional speech-to-speech translation systems composed of multiple subsystems performing translation in a cascaded fashion exist, scalable and high-performing unified systems remain underexplored. To address this gap, here we introduce SEAMLESSM4T-Massively Multilingual and Multimodal Machine Translation-a single model that supports speech-to-speech translation (101 to 36 languages), speech-to-text translation (from 101 to 96 languages), text-to-speech translation (from 96 to 36 languages), text-to-text translation (96 languages) and automatic speech recognition (96 languages).
View Article and Find Full Text PDFSci Rep
January 2025
School of Mechanical and Electrical Engineering, Quzhou College of Technology, Quzhou, 324000, China.
Pneumatic impactor is widely used in the drilling process of various medium and high hard rocks with poor drill ability. Currently, there is relatively little analysis on the impact of the inclination of the rock surface during the drilling process on the drilling efficiency and excavation capability of pneumatic impactors. Based on the dynamic theory of impact drilling and finite element method (FEM), the constitutive model of HJC criterion and INVENTOR 3D mechanical structure design software, a 3D numerical analysis system of piston-bit head-rock during pneumatic impactor drilling is established by ANSYS LS-DYNA, a nonlinear dynamic analysis software.
View Article and Find Full Text PDFActa Paediatr
January 2025
Neonatal Intensive Care Unit, Children's Hospital, ASST Spedali Civili Brescia, Brescia, Italy.
Aim: To quantify and categorise retrospectively all adverse events occurring during unplanned neonatal emergency interhospital transfers conducted by the Transfer Service of the Spedali Civili di Brescia over 3 years.
Methods: The revised data were extracted from specific questionnaires filled out by staff. The events were classified according to an adapted retrieval team model (PANSTAR); the risk level was assessed using an effective risk assessment score.
Int J Cardiol
January 2025
Department of Medicine, Section of Cardiology, Temple University Hospital, Philadelphia, PA, United States of America.
Background: Racial disparities continue to affect countless individuals across the United States and is an ongoing issue in heart transplantation (HTx). Though inequities for post-transplant survival have been heavily studied, there remains conflicting data in waitlist outcome metrics. Our investigation aims to address this by analyzing death on, and transplantation from, the waitlist across multiple racial groups.
View Article and Find Full Text PDFIntensive Crit Care Nurs
January 2025
Chelsea & Westminster Hospital NHS Foundation Trust, United Kingdom; Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, United Kingdom; Division of Anaesthesia, Pain Medicine and Intensive Care (APMIC), Surgery & Cancer, Imperial College London, United Kingdom; Faculty of Medicine, Imperial College London, United Kingdom. Electronic address:
Introduction And Objectives: Nil by mouth (NBM) is a frequent imposition for patients recovering from critical illness. Its impact on patients' wellbeing and rehabilitation is under researched. We sought ICU multidisciplinary opinion to primarily assess the relevance of taste deprivation on patient care and recovery, and to identify future opportunities for innovation and research.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!