Integrating Next Generation Simulator Training and Operating Room Performance Assessment into Orthopedic Residency Programs

将下一代模拟器培训和手术室绩效评估纳入骨科住院医师计划

• 批准号: 10555971
• 负责人: Donald D Anderson
• 金额: $ 39.51万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10555971
• 关键词: Integrating; Next; Generation; Simulator; Training

Project Summary/Abstract The long-term goal of this research is to improve patient safety by establishing simulator training and evaluation of surgical skills as essential components of orthopedic residency programs. Many orthopaedic surgeries involve the challenging integration of fluoroscopic image and video interpretation with skillful tool manipulation to achieve well-defined objectives. Simulation has proved beneficial in this context for surgical trainees, but programs have been slow to embrace this advance, and methods for evaluating operating room (OR) performance of these skills to document improvement have been lacking. Objectively measuring skill in the OR is a critical step toward this goal because it allows skills training to be linked to performance in surgery. This is an important missed opportunity. The proposed research will advance objective measurement techniques that are critically needed to speed improvement in resident performance on technical skills, ultimately reducing costs while enhancing patient safety. The long-term goal will be achieved by partnering with the American Board of Orthopaedic Surgery (ABOS) to more tightly integrate surgical skills training and simulation into pre-certification policies. For this reason, researchers at the University of Iowa are leveraging the skills and experience of existing ABOS grant-funded research groups at the University of Rochester and the University of Texas Health in Houston to pursue this goal. The proposed research approach is based on our multi-institution simulation studies with novel surgical simulators and on our previous, AHRQ-funded, ground-breaking analysis techniques for assessing task- specific, detailed, OR performance. Our central hypothesis is that orthopedic surgical skill competence can be objectively, quantitatively, and reliably measured from behaviors observable in fluoroscopy and video routinely collected in the OR. Our research team is well poised for this work; our core multi-disciplinary team of engineers, surgeons, psychometricians have collaborated for nearly a decade to improve orthopedic residency training. Our team is now partnered with the ABOS to advance simulation as a tool for training orthopaedic residents and assessing performance prior to qualifying for certification. Aim 1 of the proposed research is to measure differences in resident OR performance from objective analysis of surgical imagery, and speed up these measurements. Aim 2 is to determine how differences in simulator training correlate with skills demonstrated in the OR, and use this information to improve training programs. Aim 3 is to identify individual differences in skills among residents, both in the skills lab and in the OR, and use this knowledge to improve individual training. This research is innovative because it demonstrates and disseminates new skill assessment techniques critically needed to hasten improvement in orthopedic resident performance, ultimately reducing costs while enhancing patient safety.

项目摘要/摘要 这项研究的长期目标是通过建立模拟器培训和 评估手术技能是骨科居住计划的重要组成部分。许多骨科 手术涉及透视图像和视频解释与熟练工具的挑战性整合 操纵以实现定义明确的目标。在这种情况下，模拟已被证明是有益的 受训者，但是计划的速度很慢，以及评估操作的方法 缺乏这些技能以记录改进的室（或）表现。客观测量 OR的技能是朝着这一目标迈出的关键一步，因为它允许技能培训与性能联系起来 在手术中。这是一个重要的错失机会。拟议的研究将提高目标 迫切需要的测量技术以加快居民性能的提高 技术技能，最终降低成本，同时提高患者的安全性。长期目标将是 通过与美国骨科手术委员会（ABO）合作以更加紧密整合而实现 手术技能培训和模拟对预认证政策。因此， 爱荷华大学利用现有的ABOS资助研究小组的技能和经验 在罗切斯特大学和休斯敦的德克萨斯大学卫生大学攻读这一目标。 拟议的研究方法基于我们的多机构模拟研究，并具有新的手术 模拟器以及我们以前的AHRQ资助，开创性的分析技术，用于评估任务 具体，详细或性能。我们的中心假设是骨科手术技能能力可以 客观，定量和可靠地从荧光镜和视频中可观察到的行为来衡量 通常在OR中收集。我们的研究团队为这项工作提供了很好的准备。我们的核心多学科团队 工程师，外科医生，心理医生已经合作了近十年来改善骨科 居住培训。我们的团队现在与ABOS合作，以推动模拟作为培训的工具 在获得认证资格之前，骨科居民和评估绩效。拟议中的目标1 研究是为了衡量手术图像客观分析的居民或性能的差异， 并加快这些测量值。 AIM 2是确定模拟器训练的差异如何相关 在OR中展示的技能，并使用此信息来改善培训计划。目标3是 确定技能实验室和OR中居民之间技能的个体差异，并使用 知识以改善个人培训。这项研究具有创新性，因为它证明和 迫切需要进行新的技能评估技术，以加快骨科的改进 居民表现，最终降低成本，同时提高患者的安全性。