Department of Radiology, Section of Neuroradiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226.
Department of Statistics, Colorado State University, Fort Collins, CO.
AJR Am J Roentgenol. 2023 Sep;221(3):355-362. doi: 10.2214/AJR.22.28925. Epub 2023 Mar 29.
Numerous studies have explored factors associated with diagnostic errors in neuroradiology; however, large-scale multivariable analyses are lacking. The purpose of this study was to evaluate associations of interpretation time, shift volume, care setting, day of week, and trainee participation with diagnostic errors by neuroradiologists at a large academic medical center. This retrospective case-control study using a large tertiary-care academic medical center's neuroradiology quality assurance database evaluated CT and MRI examinations for which neuroradiologists had assigned RADPEER scores. The database was searched from January 2014 through March 2020 for examinations without (RADPEER score of 1) or with (RADPEER scores of 2a, 2b, 3a, 3b, or 4) diagnostic error. For each examination with error, two examinations without error were randomly selected (unless only one examination could be identified) and matched by interpreting radiologist and examination type to form case and control groups. Marginal mixed-effects logistic regression models were used to assess associations of diagnostic error with interpretation time (number of minutes since the immediately preceding report's completion), shift volume (number of examinations interpreted during the shift), emergency/inpatient setting, weekend interpretation, and trainee participation in interpretation. The case group included 564 examinations in 564 patients (mean age, 50.0 ± 25.0 [SD] years; 309 men, 255 women); the control group included 1019 examinations in 1019 patients (mean age, 52.5 ± 23.2 years; 540 men, 479 women). In the case versus control group, mean interpretation time was 16.3 ± 17.2 [SD] minutes versus 14.8 ± 16.7 minutes; mean shift volume was 50.0 ± 22.1 [SD] examinations versus 45.4 ± 22.9 examinations. In univariable models, diagnostic error was associated with shift volume (OR = 1.22, < .001) and weekend interpretation (OR = 1.60, < .001) but not interpretation time, emergency/inpatient setting, or trainee participation ( > .05). However, in multivariable models, diagnostic error was independently associated with interpretation time (OR = 1.18, = .003), shift volume (OR = 1.27, < .001), and weekend interpretation (OR = 1.69, = .02). In subanalysis, diagnostic error showed independent associations on weekdays with interpretation time (OR = 1.18, = .003) and shift volume (OR = 1.27, < .001); such associations were not observed on weekends (interpretation time: = .62; shift volume: = .58). Diagnostic errors in neuroradiology were associated with longer interpretation times, higher shift volumes, and weekend interpretation. These findings should be considered when designing work-flow-related interventions seeking to reduce neuroradiology interpretation errors.
许多研究探讨了与神经放射学诊断错误相关的因素;然而,缺乏大规模的多变量分析。本研究旨在评估在一家大型学术医疗中心,神经放射学家的解释时间、工作量、工作环境、周几和受训者参与与诊断错误的关联。本回顾性病例对照研究使用大型三级保健学术医疗中心的神经放射学质量保证数据库,评估了神经放射学家分配 RADPEER 评分的 CT 和 MRI 检查。从 2014 年 1 月到 2020 年 3 月,在数据库中搜索 RADPEER 评分为 1(无诊断错误)或 2a、2b、3a、3b 或 4(有诊断错误)的检查。对于每一例有错误的检查,随机选择两例无错误的检查(除非只能识别一例检查),并按解释放射科医生和检查类型进行匹配,形成病例组和对照组。边缘混合效应逻辑回归模型用于评估诊断错误与解释时间(自前一份报告完成后的分钟数)、工作量(轮班期间解释的检查数量)、急诊/住院环境、周末解释和受训者参与解释之间的关联。病例组包括 564 例患者的 564 次检查(平均年龄 50.0 ± 25.0 [SD]岁;309 名男性,255 名女性);对照组包括 1019 例患者的 1019 次检查(平均年龄 52.5 ± 23.2 岁;540 名男性,479 名女性)。在病例组与对照组之间,平均解释时间为 16.3 ± 17.2 [SD]分钟与 14.8 ± 16.7 分钟;平均轮班工作量为 50.0 ± 22.1 [SD]次检查与 45.4 ± 22.9 次检查。在单变量模型中,诊断错误与工作量(比值比 [OR] = 1.22, <.001)和周末解释(OR = 1.60, <.001)有关,但与解释时间、急诊/住院环境或受训者参与无关(>.05)。然而,在多变量模型中,诊断错误与解释时间(OR = 1.18, =.003)、工作量(OR = 1.27, <.001)和周末解释(OR = 1.69, =.02)独立相关。在亚分析中,诊断错误与工作日的解释时间(OR = 1.18, =.003)和工作量(OR = 1.27, <.001)独立相关;周末未观察到这种关联(解释时间: =.62;工作量: =.58)。神经放射学中的诊断错误与较长的解释时间、较高的工作量和周末解释有关。在设计旨在减少神经放射学解释错误的工作流程相关干预措施时,应考虑这些发现。