Memorial Sloan Kettering Cancer Center; Columbia University Medical Center; AIG, New York, NY; Tufts Medical Center, Boston, MA; Pascal Metrics, Washington, DC; University of Utah School of Medicine, Salt Lake City, UT; and Genentech, San Francisco, CA
Memorial Sloan Kettering Cancer Center; Columbia University Medical Center; AIG, New York, NY; Tufts Medical Center, Boston, MA; Pascal Metrics, Washington, DC; University of Utah School of Medicine, Salt Lake City, UT; and Genentech, San Francisco, CA.
J Oncol Pract. 2016 Feb;12(2):178-9; e224-30. doi: 10.1200/JOP.2015.006874.
Widespread consensus exists about the importance of addressing patient safety issues in oncology, yet our understanding of the frequency, spectrum, and preventability of adverse events (AEs) across cancer care is limited.
We developed a screening tool to detect AEs across cancer care settings through medical record review. Members of the study team reviewed the scientific literature and obtained structured input from an external multidisciplinary panel of clinicians by using a modified Delphi process.
The screening tool comprises 76 triggers-readily identifiable findings to screen for possible AEs that occur during cancer care. Categories of triggers are general care, vital signs, medication related, laboratory tests, other orders, and consultations.
Although additional testing is required to assess its performance characteristics, this tool may offer an efficient mechanism for identifying possibly preventable AEs in oncology and serve as an instrument for quality improvement.
人们普遍认识到在肿瘤学中解决患者安全问题的重要性，但我们对癌症治疗过程中不良事件（AE）的频率、范围和可预防程度的了解有限。
我们开发了一种筛选工具，通过病历回顾来检测癌症治疗环境中的 AE。研究团队成员查阅了科学文献，并通过使用改良 Delphi 流程从外部多学科临床医生小组获得了结构化的投入。
该筛选工具包含 76 个触发因素——易于识别的发现，用于筛查癌症治疗过程中可能发生的 AE。触发因素的类别包括一般护理、生命体征、与药物相关、实验室检查、其他医嘱和会诊。
尽管还需要进一步的测试来评估其性能特征，但该工具可能为识别肿瘤学中可能可预防的 AE 提供一种有效的机制，并作为质量改进的工具。
