Introduction: Breaking bad news (BBN) in the emergency department (ED) represents a challenging and stressful situation for physicians. Many medical students and residents feel stressed and uncomfortable with such situations because of insufficient training. Our randomized controlled study aimed to assess the efficacy of a four-hour BBN simulation-based training on perceived self-efficacy, the BBN process, and communication skills.
Methods: Medical students and residents were randomized into a 160-hour ED clinical rotation without a formal BBN curriculum (control group [CG], n = 31) or a 156-hour ED clinical rotation and a four-hour BBN simulation-based training (training group [TG], n = 37). Both groups were assessed twice: once at the beginning of the rotation (pre-test) and again four weeks later. Assessments included a BBN evaluation via a simulation with two actors playing family members and the completion of a questionnaire on self-efficacy. Two blinded raters assessed the BBN process with the SPIKES (a delivery protocol for delivering bad news) competence form and communication skills with the modified BBN Assessment Schedule.
Results: Group-by-time effects adjusted by study year revealed a significant improvement in TG as compared with CG on self-efficacy (P < 0.001), the BBN process (P < 0.001), and communication skills (P < 0.001). TG showed a significant gain regarding the BBN process (+33.3%, P < 0.001). After the training, students with limited clinical experience prior to the rotation showed BBN performance skills equal to that of students in the CG who had greater clinical experience.
Conclusion: A short BBN simulation-based training can be added to standard clinical rotations. It has the potential to significantly improve self-efficacy, the BBN process, and communication skills.
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http://dx.doi.org/10.5811/westjem.2019.8.43441 | DOI Listing |
J Environ Manage
December 2024
Department of Agronomy, Food, Natural resources, Animals and Environment - DAFNAE, School of Agricultural Sciences and Veterinary Medicine, University of Padova, Viale dell'Università 16, 35020, Legnaro, Padova, Italy.
This study addresses the challenge of reducing ammonia (NH) emissions from agriculture by evaluating various mitigation techniques. The research utilized a Bayesian Belief Network (BBN) to integrate quantitative data on NH volatilization reduction with qualitative stakeholder perceptions, aiming to identify the best available techniques (BATs) that balance environmental, economic, and socio-cultural factors for farmers in the Veneto region of Italy. The BBN framework established probabilistic dependencies between variables related to livestock, crop type, manure storage, fertilization management, and pedo-climatic conditions.
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December 2024
Biomedical Engineering and Telemedicine Centre (GBT), ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid (UPM). Avda Complutense, 30. 28040 Madrid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), C/ Melchor Fernández Almagro, 3, 28029 Madrid, Spain.
Objective: Deep brain stimulation (DBS) is a surgical technique that alleviates motor symptoms in Parkinson's disease. Surgically implanted microelectrodes stimulate the basal ganglia to improve patients' symptoms. One of the training challenges for neurophysiologists is to identify during surgery the target area of the brain in which the electrodes must be implanted.
View Article and Find Full Text PDFCurr Protein Pept Sci
December 2024
Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Background: Sulfonamides are widely used carbonic anhydrase inhibitors (CAIs) in clinical settings, however, their nonspecific inhibition of multiple carbonic anhydrase isoforms can lead to reduced efficacy and side effects. This study aimed to develop sulfanilamide-diazo derivatives incorporating benzoic acid moieties as novel inhibitors of hCA II activity to reduce side effects and enhance selectivity for different CA isozymes.
Methods: We investigated the interaction between these derivatives and the hCA II isozyme via various spectroscopic and docking methods.
Sci Rep
November 2024
Computer Science Department, Faculty of Computers and Information, South Valley University, Qena, 83523, Egypt.
With the fast-growing interconnection of smart technologies, the Industrial Internet of Things (IIoT) has revolutionized how industries work by connecting devices and sensors and automating regular operations via the Internet of Things (IoTs). IoT devices provide seamless diversity and connectivity in different application domains. This system and its transmission channels are subjected to targeted cyberattacks due to their round-the-clock connectivity.
View Article and Find Full Text PDFGels
October 2024
Departamento de Medicina y Especialidades Médicas, Facultad de Medicina y Ciencias de la Salud, Universidad de Alcalá, 28805 Alcalá de Henares, Spain.
Prosthetic mesh infection constitutes one of the major postsurgical complications following abdominal hernia repair. Antibacterial coatings represent a prophylactic strategy to reduce the risk of infection. This study assessed the in vitro response of two antibacterial gels made of 1% carboxymethylcellulose (CMC) functionalized with an antiseptic (chlorhexidine, CHX) or an antibiotic (rifampicin, RIF), developed for the coating of polypropylene (PP) meshes for hernia repair.
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