María Teresa Valenzuela, José A Poblete, Milena Zamboni, Rocío Astudillo, Cristóbal A Carvajal, Nicolás Moreno, Luis A Sarmiento, Sandra X Jaramillo, Luis C Franco, Fernando Ayala, Jorge A Carvajal
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引用次数: 0
Abstract
Introduction: Simulation is essential for teaching procedural skills in obstetrics, yet access to high-fidelity simulators remains limited. Augmented reality (AR) offers an innovative and scalable way to enhance pre-simulation learning. This study evaluated whether AR-based training improves student performance in simulated vaginal births compared with traditional text- and video-based preparation.
Methods: We conducted a multicenter, prospective, randomized controlled trial with blinded evaluators involving 401 undergraduate medical and midwifery students from two universities (Chile and Colombia). Participants were assigned to AR-based training (experimental group) or conventional preparation (control group). All students completed high-fidelity childbirth simulations assessed using a validated Direct Observation of Procedural Skills (DOPS) checklist. The primary outcome was achievement of the minimum competency threshold; secondary outcomes included mean DOPS scores, critical task performance, and student satisfaction.
Results: Students trained with AR achieved significantly higher DOPS scores (11.9 ± 0.14 vs 10.6 ± 0.15; p < .001) and greater critical task completion (3.6 ± 0.07 vs 3.3 ± 0.07; p < .001) than controls. The proportion reaching the competency threshold doubled in the AR group (12.8% vs 6.2%; RR 2.23; 95% CI 1.07-4.01; p < .05). Both groups reported high satisfaction, though AR users noted opportunities to improve realism.
Discussion: AR-based pre-simulation training enhances performance and competency attainment in simulated vaginal birth care. This scalable and cost-effective approach complements traditional simulation, supporting competency-based medical education while broadening access to high-quality procedural training in obstetrics.
简介:模拟是必要的教学程序技能在产科,但访问高保真模拟器仍然有限。增强现实(AR)提供了一种创新和可扩展的方式来增强预模拟学习。本研究评估了与传统的基于文本和视频的准备相比,基于ar的训练是否能提高学生在模拟阴道分娩中的表现。方法:我们进行了一项多中心、前瞻性、随机对照试验,采用盲法评估,涉及来自两所大学(智利和哥伦比亚)的401名医学和助产学本科生。参与者被分配到基于ar的训练(实验组)或常规准备(对照组)。所有学生都完成了高保真分娩模拟,使用经过验证的程序技能直接观察(DOPS)检查表进行评估。主要结果是达到最低能力阈值;次要结果包括平均DOPS分数、关键任务表现和学生满意度。结果:与对照组相比,接受AR训练的学生获得了更高的DOPS分数(11.9±0.14比10.6±0.15,p < 0.001)和更高的关键任务完成率(3.6±0.07比3.3±0.07,p < 0.001)。AR组达到胜任能力阈值的比例翻了一番(12.8% vs 6.2%; RR 2.23; 95% CI 1.07-4.01; p < 0.05)。两组用户对AR的满意度都很高,不过AR用户注意到了增强现实的机会。讨论:基于ar的预模拟训练提高了模拟阴道分娩护理的表现和能力。这种可扩展和具有成本效益的方法补充了传统的模拟,支持基于能力的医学教育,同时扩大了获得产科高质量程序培训的机会。
期刊介绍:
Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.