From the Department of Radiology (J.H.M., J.E.S., D.L., T.S.C., L.J.B., S.M.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Radiology (A.P.N.), University Hospitals Cleveland Medical Center, Cleveland, Ohio
AJNR Am J Neuroradiol. 2021 May;42(5):815-823. doi: 10.3174/ajnr.A7030. Epub 2021 Mar 4.
Aside from basic Accreditation Council for Graduate Medical Education guidelines, few metrics are in place to monitor fellows' progress. The purpose of this study was to determine objective trends in neuroradiology fellowship training on-call performance during an academic year.
We retrospectively reviewed the number of cross-sectional neuroimaging studies dictated with complete reports by neuroradiology fellows during independent call. Monthly trends in total call cases, report turnaround times, relationships between volume and report turnaround times, and words addended to preliminary reports by attending neuroradiologists were evaluated with regression models. Monthly variation in frequencies of call-discrepancy macros were assessed via χ tests. Changes in frequencies of specific macro use between fellowship semesters were assessed via serial 2-sample tests of proportions.
From 2012 to 2017, for 29 fellows, monthly median report turnaround times significantly decreased during the academic year: July (first month) = 79 minutes (95% CI, 71-86 minutes) and June (12th month) = 55 minutes (95% CI, 52-60 minutes; value = .023). Monthly report turnaround times were inversely correlated with total volumes for CT ( = -0.70, = 9.639, value = .011) but not MR imaging. Words addended to preliminary reports, a surrogate measurement of report clarity, slightly improved and discrepancy rates decreased during the last 6 months of fellowship. A nadir for report turnaround times, discrepancy errors, and words addended to reports was seen in December and January.
Progress through fellowship correlates with a decline in report turnaround times and discrepancy rates for cross-sectional neuroimaging call studies and slight improvement in indirect quantitative measurement of report clarity. These metrics can be tracked throughout the academic year, and the midyear would be a logical time point for programs to assess objective progress of fellows and address any deficiencies.
除了基本的研究生医学教育认证委员会指南外,几乎没有任何指标来监测研究员的进展。本研究的目的是确定一个学术年内神经放射学研究员在轮班时进行神经影像学研究的客观趋势。
我们回顾性地审查了神经放射学研究员在独立轮班期间口述完整报告的横断面神经影像学研究的数量。使用回归模型评估了总呼叫病例、报告周转时间、体积与报告周转时间之间的关系、以及主治神经放射科医师添加到初步报告中的字数的月度趋势。通过 χ 检验评估每月呼叫差异宏的频率变化。通过连续 2 样本检验比例评估研究员课程之间特定宏使用频率的变化。
从 2012 年到 2017 年,对于 29 名研究员,在整个学年期间,每月的中位数报告周转时间显著缩短:7 月(第一个月)= 79 分钟(95%CI,71-86 分钟)和 6 月(第 12 个月)= 55 分钟(95%CI,52-60 分钟; 值=.023)。报告周转时间与 CT 总容量呈负相关( = -0.70, = 9.639, 值=.011),但与 MR 成像无关。添加到初步报告中的单词,作为报告清晰度的替代测量,在研究员课程的最后 6 个月略有改善,差异率降低。报告周转时间、差异错误和添加到报告中的单词的最低点出现在 12 月和 1 月。
在横断面神经影像学呼叫研究中,研究员的进展与报告周转时间和差异率的降低以及报告清晰度的间接定量测量的略有改善相关。这些指标可以在整个学年内进行跟踪,并且年中是计划评估研究员的客观进展并解决任何缺陷的合理时间点。