Ekaette Edidiong U, Lee Robert C, Cooke David L, Kelly Karie-Lynn, Dunscombe Peter B
Department of Community Health Sciences, Faculty in Medicine, University of Calgary, Calgary, Canada.
Radiother Oncol. 2006 Sep;80(3):282-7. doi: 10.1016/j.radonc.2006.07.004. Epub 2006 Aug 1.
Radiation treatment (RT) for cancer is susceptible to clinical incidents resulting from human errors and equipment failures. A systematic approach to collecting and processing incidents is required to manage patient risks. We describe the application of a new taxonomic structure for RT that supports risk analysis and organizational learning.
A systematic analysis of the RT process identified five process domains. Within each domain we defined incident type groups. We then constructed a database reflecting this taxonomic structure and populated it with incidents from publicly available sources. Querying this database provides insights into the nature and relative frequency of incidents in RT.
There are relatively few reports of incidents in the Prescription domain compared with the Preparation and Treatment domains. There are also fewer reports of systematic and infrastructure incidents in comparison to sporadic and process incidents. Infrastructure incidents are mainly systematic in nature, while process incidents are more likely to be sporadic.
The lack of a standard, systems-oriented framework for incident reporting makes it difficult to learn from existing incident report sources. A clear understanding of the potential consequences and relationships between different incident types will guide incident reporting, resource allocation, and risk management efforts.
癌症放射治疗(RT)易因人为错误和设备故障引发临床事件。需要一种系统的方法来收集和处理这些事件,以管理患者风险。我们描述了一种支持风险分析和组织学习的新型RT分类结构的应用。
对RT过程进行系统分析,确定了五个过程领域。在每个领域内,我们定义了事件类型组。然后构建了一个反映这种分类结构的数据库,并用来自公开来源的事件填充它。查询这个数据库可以深入了解RT事件的性质和相对频率。
与准备和治疗领域相比,处方领域的事件报告相对较少。与零星事件和过程事件相比,系统和基础设施事件的报告也较少。基础设施事件主要是系统性的,而过程事件更可能是零星的。
缺乏一个标准的、面向系统的事件报告框架使得难以从现有的事件报告来源中学习。清楚了解不同事件类型之间的潜在后果和关系将指导事件报告、资源分配和风险管理工作。