Monash University Accident Research Centre, 21 Alliance Lane, Building 70, Monash University, Clayton Campus, 3800, Victoria, Australia; Department of Anaesthesia and Perioperative Medicine, Central Clinical School, Monash University, Level 6, The Alfred Centre, 99 Commercial Road, Melbourne, 3004, Victoria, Australia.
Department of Anaesthesia and Perioperative Medicine, Central Clinical School, Monash University, Level 6, The Alfred Centre, 99 Commercial Road, Melbourne, 3004, Victoria, Australia.
Appl Ergon. 2019 May;77:70-82. doi: 10.1016/j.apergo.2019.01.005. Epub 2019 Feb 7.
Current decision support interventions for airway management in anaesthesia lack the application of Human Factors Engineering; leading to interventions that can be disruptive, inefficient and error-inducing. This study followed a decision-centred design process to identify decision support that can assist anaesthesia teams with challenging airway management situations. Field observations, Critical Decision Method interviews and focus groups were conducted to identify the most difficult decisions and their requirements. Data triangulation narrowed the focus to key decisions related to preparation and planning, and the transitioning between airway techniques during difficulties. Five decision-support interventions were identified and positively rated by anaesthesia team members in relation to their perceived effectiveness. An organized airway equipment trolley was chosen as the most beneficial decision support intervention. This study reiterated the key importance of both Human Factors Engineering and data triangulation when designing for healthcare.
当前的麻醉气道管理决策支持干预措施缺乏人为因素工程学的应用；导致干预措施可能具有破坏性、效率低下和容易出错。本研究采用以决策为中心的设计过程来确定决策支持，以帮助麻醉团队处理具有挑战性的气道管理情况。通过现场观察、关键决策方法访谈和焦点小组，确定了最困难的决策及其要求。数据三角剖分将重点缩小到与准备和计划相关的关键决策，以及在困难期间气道技术之间的转换。确定了五个决策支持干预措施，并得到了麻醉团队成员的积极评价，因为他们认为这些干预措施在有效性方面具有感知价值。组织有序的气道设备手推车被选为最有益的决策支持干预措施。本研究再次强调了在医疗保健设计中，人为因素工程学和数据三角剖分的重要性。
