International Centre for Surgical Safety, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada.
Department of Surgery, University of Toronto, Toronto, ON, Canada.
Ann Surg. 2021 Jul 1;274(1):114-119. doi: 10.1097/SLA.0000000000003616.
The objective of this study is to determine the characteristics and frequency of intraoperative safety threats and resilience supports using a human factors measurement tool.
Human factors analysis can provide insight into how system elements contribute to intraoperative adverse events. Empiric evidence on safety threats and resilience in surgical practice is lacking.
A cross-sectional study of 24 patients undergoing elective laparoscopic general surgery at a single center in the Netherlands from May to November, 2017 was conducted. Video, audio, and patient physiologic data from all included procedures were obtained through a multichannel synchronized recording device. Trained analysts reviewed the recordings and coded safety threats and resilience supports. The codes were categorized into 1 of 6 categories (person, task, tools and technology, physical environment, organization, and external environment).
A median of 14 safety threats [interquartile range (IQR) 11-16] and 12 resilience supports (IQR 11-16) were identified per case. Most safety threat codes (median 9, IQR 7-12) and resilience support codes (median 10, IQR 7-12) were classified in the person category. The organization category contained a median of 2 (IQR 1-2) safety threat codes and 2 (IQR 2-3) resilience support codes per case. The tools and technology category contributed a small number of safety threats (median 1 per case, IQR 0-1), but rarely provided resilience support.
Through a detailed human factors analysis of elective laparoscopic general surgery cases, this study provided a quantitative analysis of the existing safety threats and resilience supports in a modern endoscopic operating room.
本研究旨在使用人为因素测量工具确定术中安全威胁和弹性支持的特征和频率。
人为因素分析可以深入了解系统要素如何导致术中不良事件。缺乏关于手术实践中安全威胁和弹性的经验证据。
对 2017 年 5 月至 11 月在荷兰一家单中心接受择期腹腔镜普外科手术的 24 例患者进行了一项横断面研究。通过多通道同步记录设备获取所有纳入手术的视频、音频和患者生理数据。经过培训的分析人员对记录进行了审查,并对安全威胁和弹性支持进行了编码。这些代码被归类为 6 个类别之一(人、任务、工具和技术、物理环境、组织和外部环境)。
每例患者平均识别出 14 种安全威胁[中位数(IQR)11-16]和 12 种弹性支持(IQR 11-16)。大多数安全威胁代码(中位数 9,IQR 7-12)和弹性支持代码(中位数 10,IQR 7-12)都归类为人的类别。组织类别每例包含中位数为 2(IQR 1-2)的安全威胁代码和 2(IQR 2-3)的弹性支持代码。工具和技术类别仅提供少量安全威胁(中位数为每例 1,IQR 0-1),但很少提供弹性支持。
通过对择期腹腔镜普外科手术病例进行详细的人为因素分析,本研究对现代内窥镜手术室中现有的安全威胁和弹性支持进行了定量分析。