什么时候合成是充分的?基于模拟的超声教育的伦理考虑和选择。

IF 2.8 Q2 HEALTH CARE SCIENCES & SERVICES
Andrea J Doyle, Claire M Condron
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引用次数: 0

摘要

基于模拟的教育(SBE)已成为卫生专业培训的一个组成部分,为学习者提供了一个安全的环境,以获得和完善临床技能。超声作为一种非电离成像方式,是卫生专业教育的一个领域,特别得到SBE的支持。许多模拟程序的核心是使用动物模型、组织或身体部位来复制人体解剖学和生理学。然而,除了教育方面的好处,在SBE中使用动物会产生大量的废物,引起了重要的环境和道德问题。尽管研究表明,动物模型的教育效果与合成模型相当,但动物模型在外科和医学培训中仍然是首选。为了应对这些挑战,替代、减少和改进原则(3r)已成为指导标准,以尽量减少在研究和教育中使用动物的影响。此外,合成模型符合3R原则,通过减少动物依赖和废物产生来解决道德和环境问题。合成模型通过密切模仿人体解剖学和病理生理学,提供一致和解剖学上准确的训练,从而提供比动物模型更重要的教育益处。与动物模型不同,它们消除了组织特性的可变性,确保了标准化和可靠的经验。此外,合成模型可以模拟特定的病理,使有针对性的学习成为可能,这在动物组织中可能是困难的。与临床相关的耐药性和对基于动物的SBE的偏好是一个持续存在的挑战,可能会通过临床和解剖学相关的组织模拟材料的开发来克服,就像以前为诊断成像中的质量保证模型等其他应用开发的材料一样。知识或最终用户参与的参与,以及基于证据的设计解决方案,对于促进根深蒂固的传统学科的范式转变至关重要。医学专业人员、教育工作者、学术研究人员和行业专家的专业知识、技能和观点相结合,可以共同开发替代方法来模拟活体动物情景,取代和减少SBE中对动物组织的依赖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When is synthetic sufficient? Ethical considerations and alternatives in simulation-based ultrasound education.

Simulation-based education (SBE) has become an integral part of training in health professions education, offering a safe environment for learners to acquire and refine clinical skills. As a non-ionising imaging modality, ultrasound is a domain of health professions education that is particularly supported by SBE. Central to many simulation programs is the use of animal models, tissues, or body parts to replicate human anatomy and physiology. However, along with its educational benefits, the use of animals in SBE generates a considerable amount of waste, raising important environmental and ethical concerns. Although research indicates that animal models yield comparable educational outcomes to synthetic models, animal models continue to be preferred in surgical and medical training. In response to these challenges, the principles of Replacement, Reduction, and Refinement (the 3Rs) have emerged as guiding standards to minimise the impact of animal use in research and education. Furthermore, synthetic models align with 3R principles, addressing ethical and environmental issues by reducing animal dependence and waste generation. Synthetic models offer key educational benefits over animal models by closely mimicking human anatomy and pathophysiology, providing consistent and anatomically accurate training. Unlike animal models, they eliminate variability in tissue properties, ensuring standardised and reliable experiences. Moreover, synthetic models can simulate specific pathologies, enabling targeted learning that may be difficult with animal tissue. Resistance related to clinical relevance and preference for animal-based SBE is a persisting challenge that might be overcome through the development of clinically and anatomically relevant tissue-mimicking materials, like those previously developed for other applications such as quality assurance phantoms in diagnostic imaging. The involvement of knowledge or end-user engagement, along with evidence-based design solutions, is crucial to catalyse a paradigm shift in a discipline deeply entrenched in tradition. The combined expertise, skills, and perspectives of medical professionals, educators, academic researchers, and industry specialists could collaboratively develop alternative methods to simulate live animal scenarios, replacing and reducing animal tissue dependence in SBE.

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