Kwon EunOk, Choi KyungSook
Director of National Health Insurance Review Team, Seoul National University Hospital, South Korea.
Professor Emeritus, Department of nursing, Chung-Ang University, South Korea.
Asian Nurs Res (Korean Soc Nurs Sci). 2017 Mar;11(1):74-78. doi: 10.1016/j.anr.2017.03.004. Epub 2017 Mar 25.
This study aimed to identify risk factors of unplanned extubation in intensive care unit (ICU) patients with mechanical ventilation using a patient safety model.
This study was designed to be a case-control study. Data collection sheets, including 29 risk factors of unplanned extubation in mechanically ventilation patients were retrospectively collected based on a patient safety model over 3 years. From 41,207 mechanically ventilated patients, 230 patients were identified to have unplanned extubation during their ICU stay. Based on the characteristics of the cohort of 230 patients who had unplanned extubation, 460 case control comparison groups with planned extubation were selected by matching age, gender and diagnosis.
Risk factors of unplanned extubation were categorized as people, technologies, tasks, environmental factors and organizational factors, by five components of the patient safety model. The results showed the risk factors of unplanned extubation as admission route [odds ratio (OR) = 1.8], Glasgow Coma Scale-motor (OR = 1.3), Acute Physiology and Chronic Health Evaluation score (OR = 1.06), agitation (OR = 9.0), delirium (OR = 11.6), mode of mechanical ventilation (OR = 3.0-4.1) and night shifts (OR = 6.0). The significant differences were found between the unplanned and the planned extubation groups on the number of reintubation (4.3% vs. 79.6%, p < .001), ICU outcome at the time of discharge (χ = 50.7, p < .001), and length of stay in the ICU (27.0 ± 33.0 vs. 43.8 ± 43.5) after unplanned extubation.
ICU nurses should be able to recognize the risk factors of unplanned extubation related with the components of the safety model so as to improve patient safety by minimizing the risk for unplanned extubation.
本研究旨在使用患者安全模型确定重症监护病房(ICU)机械通气患者非计划拔管的危险因素。
本研究设计为病例对照研究。基于患者安全模型,回顾性收集了3年期间机械通气患者非计划拔管的29个危险因素的数据收集表。在41207例机械通气患者中,有230例在ICU住院期间发生了非计划拔管。根据230例发生非计划拔管患者队列的特征,通过匹配年龄、性别和诊断,选择了460例计划拔管的病例对照比较组。
根据患者安全模型的五个组成部分,非计划拔管的危险因素分为人员、技术、任务、环境因素和组织因素。结果显示非计划拔管的危险因素为入院途径[比值比(OR)=1.8]、格拉斯哥昏迷量表运动评分(OR=1.3)、急性生理与慢性健康状况评估评分(OR=1.06)、躁动(OR=9.0)、谵妄(OR=11.6)、机械通气模式(OR=3.0 - 4.1)和夜班(OR=6.0)。非计划拔管组和计划拔管组在再次插管次数(4.3%对79.6%,p<.001)、出院时的ICU结局(χ=50.7,p<.001)以及非计划拔管后的ICU住院时间(27.0±33.0对43.8±43.5)方面存在显著差异。
ICU护士应能够识别与安全模型组成部分相关的非计划拔管危险因素,以便通过将非计划拔管风险降至最低来提高患者安全。