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澳大利亚事件监测研究。危机管理——通过对2000份事件报告的分析验证一种算法。

The Australian Incident Monitoring Study. Crisis management--validation of an algorithm by analysis of 2000 incident reports.

作者信息

Runciman W B, Webb R K, Klepper I D, Lee R, Williamson J A, Barker L

机构信息

Department of Anaesthesia and Intensive Care, University of Adelaide, S.A.

出版信息

Anaesth Intensive Care. 1993 Oct;21(5):579-92. doi: 10.1177/0310057X9302100515.

Abstract

Anaesthetists are called upon to manage complex life-threatening crises at a moment's notice. As there is evidence that this may require cognitive tasking beyond the information-processing capacity of the human brain, it was decided to try and develop a generic crisis management algorithm analogous to the "Phase I" immediate response routine used by airline pilots. Such an algorithm, based on the mnemonic "COVER ABCD, A SWIFT CHECK", was developed and refined over 3 meetings, each attended by 60-100 anaesthetists and aviation psychologists. It was validated against 1301 relevant incidents among the first 2000 incidents reported to the Australian Incident Monitoring Study. It proved sufficiently robust and safe to recommend its general use as an initial response to any incident or crisis which occurs when a patient is breathing gas from an anesthetic machine. It requires a limited knowledge base and is easily learnt and rehearsed during the anaesthetist's working day. It will provide a functional diagnosis in over 99% of cases and will correct 62% of the problems in 40-60 seconds. In the remaining 37% it will allow the anaesthetist to proceed with a "sub-algorithm", confident in the knowledge that some important step has not been missed. In just over 30% of incidents this will be for a problem familiar to all anaesthetists (e.g. laryngospasm, bradycardia); in just over 6% it will be for a less common, more complex, but finite, set of problems (3% cardiac arrest, 1% air embolism, 1% anaphylaxis, 1% for the remaining desaturations); in less than 1% diagnosis and correction will require a more complex checklist (e.g. for malignant hyperthermia, pneumothorax). The next stage, the development of specific sub-algorithms and a structured team approach for ongoing problems, is in progress.

摘要

麻醉医生需要随时应对复杂的危及生命的危机情况。鉴于有证据表明,应对此类情况可能需要超出人类大脑信息处理能力的认知任务,因此决定尝试开发一种通用的危机管理算法,类似于航空公司飞行员使用的“第一阶段”即时响应程序。基于助记符“COVER ABCD, A SWIFT CHECK”开发了这样一种算法,并在3次会议上进行了完善,每次会议有60 - 100名麻醉医生和航空心理学家参加。该算法在向澳大利亚事件监测研究报告的前2000起事件中的1301起相关事件中得到了验证。事实证明,该算法足够可靠且安全,可推荐将其作为对患者使用麻醉机呼吸气体时发生的任何事件或危机的初步应对措施。它所需的知识库有限,在麻醉医生的工作日内易于学习和演练。在超过99%的病例中,它将提供功能性诊断,并在40 - 60秒内纠正62%的问题。在其余37%的病例中,它将使麻醉医生能够继续执行“子算法”,因为确信没有遗漏任何重要步骤。在略超过30%的事件中,这将是所有麻醉医生都熟悉的问题(如喉痉挛、心动过缓);在略超过6%的事件中,将是一组不太常见、更复杂但有限的问题(3%为心脏骤停,1%为空气栓塞,1%为过敏反应,1%为其余的低氧血症);在不到1%的事件中,诊断和纠正需要更复杂的检查表(如恶性高热、气胸)。下一阶段,即针对持续出现的问题开发特定的子算法和结构化团队方法,正在进行中。

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