OBJECT:The purpose of this study was to provide an evidence-based algorithm for the design, development, and implementation of a new checklist for the response to an intraoperative neuromonitoring alert during spine surgery. METHODS:The aviation and surgical literature was surveyed for evidence of successful checklist design, development, and implementation. The limitations of checklists and the barriers to their implementation were reviewed. Based on this review, an algorithm for neurosurgical checklist creation and implementation was developed. Using this algorithm, a multidisciplinary team surveyed the literature for the best practices for how to respond to an intraoperative neuromonitoring alert. All stakeholders then reviewed the evidence and came to consensus regarding items for inclusion in the checklist. RESULTS:A checklist for responding to an intraoperative neuromonitoring alert was devised. It highlights the specific roles of the anesthesiologist, surgeon, and neuromonitoring personnel and encourages communication between teams. It focuses on the items critical for identifying and correcting reversible causes of neuromonitoring alerts. Following initial design, the checklist draft was reviewed and amended with stakeholder input. The checklist was then evaluated in a small-scale trial and revised based on usability and feasibility. CONCLUSIONS:The authors have developed an evidence-based algorithm for the design, development, and implementation of checklists in neurosurgery and have used this algorithm to devise a checklist for responding to intraoperative neuromonitoring alerts in spine surgery.

译文

目的:本研究的目的是提供一种基于证据的算法,用于设计,开发和实施针对脊柱手术中对术中神经监测警报的反应的新清单。
方法:对航空和外科文献进行了调查,以获取成功设计,开发和实施清单​​的证据。审查了清单的局限性以及实施清单的障碍。在此基础上,开发了神经外科检查清单创建和实现的算法。使用此算法,一个多学科团队调查了文献,以了解如何对术中神经监测警报做出反应的最佳实践。然后,所有利益相关者都对证据进行了审查,并就列入清单的项目达成了共识。
结果:设计了对术中神经监测警报反应的清单。它强调了麻醉师,外科医生和神经监测人员的具体作用,并鼓励团队之间的沟通。它着重于对识别和纠正神经监测警报的可逆原因至关重要的项目。在初步设计之后,检查清单草稿经过了利益相关者的意见审查和修订。然后在小规模试验中对清单进行评估,并根据可用性和可行性进行修订。
结论:作者开发了一种基于证据的算法,用于神经外科检查清单的设计,开发和实施,并已使用该算法设计了对脊柱手术中术中神经监测警报做出反应的检查清单。

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