Background: Traditional medical education strategies teach learners how to correctly perform procedures while neglecting to provide formal training on iatrogenic error management. Error management training (EMT) requires active exploration as well as explicit encouragement for learners to make and learn from errors during training. Simulation provides an excellent methodology to execute a curriculum on iatrogenic procedural complication management. We hypothesize that a standardized simulation-based EMT curriculum will improve learner's confidence, cognitive knowledge, and performance in iatrogenic injury management.
Methods: This was a pilot, prospective, observational study performed in a simulation center using a curriculum developed to educate resident physicians on iatrogenic procedural complication management. Pre- and postintervention assessments included confidence surveys, cognitive questionnaires, and critical action checklists for six simulated procedure complications. Assessment data were analyzed using medians and interquartile ranges (IQRs), and the paired change scores were tested for median equality to zero via Wilcoxon signed rank tests with p < 0.05 considered statistically significant.
Results: Eighteen residents participated in the study curriculum. The median (IQR) confidence increased significantly by a summed score of 12.5 (8.75-17.25; p < 0.001). Similarly, the median (IQR) knowledge significantly increased by 6 (3-8) points from the pre- to postintervention assessment (p < 0.001). For each of the simulation cases, the number of critical actions performed increased significantly (p < 0.001 to p = 0.002).
Conclusion: We demonstrated significant improvement in the confidence, clinical knowledge, and performance of critical actions after the completion of this curriculum. This pilot study provides evidence that a structured EMT curriculum is an effective method to teach management of iatrogenic injuries.
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http://dx.doi.org/10.1002/aet2.10317 | DOI Listing |
Sci Rep
January 2025
Department of Statistics, Faculty of Sciences, Golestan University, Gorgan, Golestan, Iran.
In this paper, explore the effectiveness of a new Wide Area Fuzzy Power System Stabilizer (WAFPSS), optimized using the Exponential Distribution Optimization (EDO) algorithm, and applied to an IEEE three-area, six-machine power system model. This research primarily focuses on assessing the stabilizer's capability to dampen inter-area oscillations, a critical challenge in power grid operations. Through extensive simulations, the study demonstrates how the WAFPSS enhances stability and reliability under a variety of operational conditions characterized by different communication delay patterns.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Department of Research, School of Graduate studies, Research and Innovations, Clarke International University, Kampala, P.O. Box 7782, Uganda.
Background: Anaemia is a major cause of morbidity among children under five years in Uganda. However, its magnitude among refugee populations is marginally documented. In this study, the prevalence and contributors to anaemia among children 6 to 59 months in Kyangwali refugee settlement in Western Uganda was determined.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Robotics, Hanyang University, Ansan, 15588, Republic of Korea.
Agriculture is an essential component of human sustenance in this world. These days, with a growing population, we must significantly increase agricultural productivity to meet demand. Agriculture moved toward technologies as a result of the demand for higher yields with less resources.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
Accurately predicting carbon prices is crucial for effective government decision-making and maintenance the stable operation of carbon markets. However, the instability and nonlinearity of carbon prices, driven by the complex interaction between economic, environmental, and political factors, often result in inaccurate predictions. To confront this challenge, this paper proposed a carbon price prediction model that integrates dual decomposition integration and error correction.
View Article and Find Full Text PDFBMJ Open Qual
December 2024
School of Medicine, Saint Joseph University School of Medical Science, Beirut, Lebanon.
Objective: The aim of this study is to identify the key barriers that prevent medication administration errors (MAEs) from being reported by nurses in Lebanese hospitals.
Methods: A quantitative cross-sectional study was conducted at Hotel-Dieu de France Hospital using a self-administered questionnaire. A total of 275 responses were recorded and analysed using the IBM SPSS software V.
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