Kusumaphanyo Chaiyapruk, Charuluxananan Somrat, Sriramatr Dujduen, Pulnitiporn Aksorn, Sriraj Wimonrat
Department of Anesthesiology, Faculty of Medicine, Srinakharinwirot University, Bangkok, Thailand.
J Med Assoc Thai. 2009 Nov;92(11):1442-9.
The present study is a part of the multi-centered study of model of anesthesia relating adverse events in Thailand by incident report (The Thai Anesthesia Incident Monitoring Study or Thai AIMS). The objective was to identify the frequency distribution, contributing factors, and factors minimizing incident of equipment failure/malfunction.
As a prospective descriptive research design, anesthesia providers reported the data as soon as the incidents of equipment failure/malfunction occurred. Standardized forms of incident report were then mailed to the center at Chulalongkorn University and three anesthesiologists reviewed the data.
Ninety-two cases of equipment failure/malfunction were reported from 51 hospitals across Thailand Between January and June 2007, 92 incidents of equipment failure/malfunction were reported out of 1996 anesthesia-related incidents (4.6%). Failed/malfunctioned equipment included anesthetic circuit (17.4%), anesthesia machine (15.2%), capnography (15.2%), laryngoscope (15.2%), ventilator (12%), pulse oximeter (8.7%), vaporizer (4.3%), endotracheal tube (3.3%), sodalime (3.3%), and electrocardiogram (2.2%). All 16 anesthetic circuit incidents (100%) were detected by clinical signs whereas five incidents (31.3%) were detected firstly by monitors. All 14 laryngoscope malfunction (100%) were detected solely by clinical signs. Only one out of eight (12.5%) of pulse oximeter incidents was detected by clinical signs before the pulse oximeter itself. Three out of four (75%) incidents of vaporizer were detected by clinical signs before monitors. The majority of equipment malfunction was considered as related to anesthetic (69.6%) and system factors (69.6%) and 71.7% of incidents were preventable. Seventy-four incidents (80.4%) were caused by human error and, specifically, rule-based error in three fourths.
Contributing factors were ineffective equipment, haste, lack of experience, ineffective monitors, and inadequate equipment. Factors minimizing incidents were equipment maintenance, pre-use equipment checking, vigilance, prior experience, and compliance to guidelines. Suggested strategies were quality assurance activity, training, and improvement of supervision.
本研究是泰国通过事件报告对麻醉相关不良事件模型进行多中心研究的一部分(泰国麻醉事件监测研究或泰国AIMS)。目的是确定设备故障/失灵的频率分布、促成因素以及使设备故障/失灵事件最小化的因素。
作为一项前瞻性描述性研究设计,麻醉提供者在设备故障/失灵事件发生后立即报告数据。然后将标准化的事件报告表格邮寄至朱拉隆功大学中心,由三名麻醉医生审查数据。
2007年1月至6月期间,泰国51家医院报告了92起设备故障/失灵事件。在1996起与麻醉相关的事件中,有92起设备故障/失灵事件(4.6%)。发生故障/失灵的设备包括麻醉回路(17.4%)、麻醉机(15.2%)、二氧化碳监测仪(15.2%)、喉镜(15.2%)、呼吸机(12%)、脉搏血氧仪(8.7%)、蒸发器(4.3%)、气管内导管(3.3%)、碱石灰(3.3%)和心电图仪(2.2%)。所有16起麻醉回路事件(100%)通过临床体征被发现,而5起事件(31.3%)首先由监测仪发现。所有14起喉镜故障(100%)仅通过临床体征被发现。在8起脉搏血氧仪事件中,只有1起(12.5%)在脉搏血氧仪本身之前通过临床体征被发现。4起蒸发器事件中有3起(75%)在监测仪之前通过临床体征被发现。大多数设备故障被认为与麻醉(69.6%)和系统因素(69.6%)有关,71.7%的事件是可预防的。74起事件(80.4%)是由人为错误导致的,具体而言,四分之三是基于规则的错误。
促成因素包括设备无效、匆忙、缺乏经验、监测仪无效和设备不足。使事件最小化的因素包括设备维护、使用前设备检查、警惕性、先前经验和遵守指南。建议的策略包括质量保证活动、培训和监督改进。