Background: Mass casualty incident (MCI) training effectively increases trainees' knowledge and confidence when implemented in a live, in-person setting. In-person MCI training is resource-intensive, but virtual MCI training models are an alternative with similar effectiveness at a lesser cost. However, most of these validated virtual options are based on high-tech virtual reality (VR) programs. We designed and implemented a low-tech, low-cost virtual MCI training model for third-year medical students, using Google Jamboard (Google, Mountain View, CA) and Zoom (Zoom Video Communications, Inc., San Jose, CA) as the primary technological platforms.
Methods: Learners were instructed on the adult simple triage and rapid treatment (START) and the pediatric JumpSTART triage algorithms over Zoom. In small groups, students used a gameboard on Google Jamboard to simulate a scene at an MCI where they were tasked with triaging 25 patients in 30 minutes, followed by a debriefing session. Students were surveyed on their perceived understanding of the triage algorithms and confidence before and after the event using a 5-point Likert scale (poor, fair, good, very good, and excellent). Pre- and post-event scores were compared using paired, two-sample, and two-tailed t-tests. We considered a p value of <0.01 significant to correct for multiplicity using the Bonferroni method.
Results: Learners reported an increased understanding of the triage algorithms (adult and pediatric), scene setup, and understanding of emergency medical service training/transportation, as well as increased confidence in participating in an MCI (all p < 0.001).
Conclusions: Virtual MCI training can be used as an alternative or supplement to in-person MCI training. Low-tech virtual MCI training models can increase the accessibility of these valuable training activities without sacrificing the quality of learning. Areas for further investigation include low-tech virtual MCI training models' ability to effectively recreate situational and environmental distractions and other challenges better simulated by in-person and high-tech VR training events.
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http://dx.doi.org/10.7759/cureus.69603 | DOI Listing |
Eur J Trauma Emerg Surg
January 2025
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Purpose: The current geopolitical situation and climate changes accentuate the importance of health preparedness. The aim was to examine the in-hospital preparedness for Mass Casualty Incidents (MCI) and Major Incidents (MI) on a national level.
Method: A web-based, cross-sectional study of in-hospital preparedness for MCI/MI in Norway.
J Exerc Sci Fit
January 2025
Hebrew Senior Life Hinda and Arthur Marcus Institute for Aging Research, Harvard Medical School, Boston, MA, United States.
Background: Brain-derived neurotrophic factor (BDNF) may help middle-aged and older adults resist age-related neurodegenerative conditions and psychiatric disorders. Recent studies suggested that Traditional Chinese exercises (TCEs) may be a promising strategy to improve the BDNF levels of these populations, while the effectiveness has yet to be definitively confirmed due to the variances in the study designs and observations. Therefore, this systematic review and meta-analysis aimed to examine the effects of TCEs intervention on BDNF in middle-aged and older adults.
View Article and Find Full Text PDFHeliyon
January 2025
School of Psychology, Shenzhen University, Shenzhen, China.
Previous research using the Attention Network Test (ANT) paradigm has indicated that older adults with mild cognitive impairment (MCI) experience declines in attentional performance across the three core networks: alerting, orienting, and executive control, primarily focusing on main effects. The present study sought to expand these findings by exploring whether interactions between these networks are also affected in the presence of MCI. To achieve this, we used the Revised Attention Network Test (ANT-R) to examine both the individual attentional networks and their interactions in 21 older adults with MCI and 27 healthy controls (HCs) matched on demographic variables.
View Article and Find Full Text PDFDement Neuropsychol
January 2025
Universidade Estadual de Campinas, Faculdade de Ciências Médicas, Departamento de Psiquiatria, Campinas SP, Brazil.
Unlabelled: Neuropsychiatric symptoms (NPS) such as depression, anxiety, and apathy are present in mild cognitive impairment (MCI) and are risk factors for cognitive decline. However, the relationship between NPS and specific cognitive domains is less clear.
Objective: This study aimed to assess whether there is a correlation between NPS and specific cognitive domains.
Front Psychol
December 2024
Digital Cognitive Dx, Philips, Eindhoven, Netherlands.
We evaluated a digital cognitive assessment platform, Philips IntelliSpace Cognition, in a case-control study of patients diagnosed with mild cognitive impairment (MCI) and cognitively normal (CN) older adults. Performance on individual neuropsychological tests, cognitive -scores, and Alzheimer's disease (AD)-specific composite scores was compared between the CN and MCI groups. These groups were matched for age, sex, and education.
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