From the Department of Surgery, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Anesth Analg. 2024 Aug 1;139(2):281-290. doi: 10.1213/ANE.0000000000006928. Epub 2024 Jun 11.
The learning-curve cumulative sum method (LC-CUSUM) and its risk-adjusted form (RA-LC-CUSUM) have been proposed as performance-monitoring methods to assess competency during the learning phase of procedural skills. However, scarce data exist about the method's accuracy. This study aimed to compare the accuracy of LC-CUSUM forms using historical data consisting of sequences of successes and failures in brachial plexus blocks (BPBs) performed by anesthesia residents.
Using historical data from 1713 BPB performed by 32 anesthesia residents, individual learning curves were constructed using the LC-CUSUM and RA-LC-CUSUM methods. A multilevel logistic regression model predicted the procedure-specific risk of failure incorporated in the RA-LC-CUSUM calculations. Competency was defined as a maximum 15% cumulative failure rate and was used as the reference for determining the accuracy of both methods.
According to the LC-CUSUM method, 22 residents (84.61%) attained competency after a median of 18.5 blocks (interquartile range [IQR], 14-23), while the RA-LC-CUSUM assigned competency to 20 residents (76.92%) after a median of 17.5 blocks (IQR, 14-25, P = .001). The median failure rate at reaching competency was 6.5% (4%-9.75%) under the LC-CUSUM and 6.5% (4%-9%) for the RA-LC-CUSUM method ( P = .37). The sensitivity of the LC-CUSUM (85%; 95% confidence interval [CI], 71%-98%) was similar to the RA-LC-CUSUM method (77%; 95% CI, 61%-93%; P = .15). Identical specificity values were found for both methods (67%; 95% CI, 29%-100%, P = 1).
The LC-CUSUM and RA-LC-CUSUM methods were associated with substantial false-positive and false-negative rates. Also, small lower limits for the 95% CIs around the accuracy measures were observed, indicating that the methods may be inaccurate for high-stakes decisions about resident competency at BPBs.
学习曲线累积和方法(LC-CUSUM)及其风险调整形式(RA-LC-CUSUM)已被提议作为在程序性技能学习阶段评估能力的绩效监测方法。然而,关于该方法的准确性的数据很少。本研究旨在比较使用由 32 名麻醉住院医师进行的臂丛阻滞(BPB)中成功和失败序列组成的历史数据的 LC-CUSUM 形式的准确性。
使用来自 1713 例由 32 名麻醉住院医师进行的 BPB 的历史数据,使用 LC-CUSUM 和 RA-LC-CUSUM 方法构建个体学习曲线。使用多水平逻辑回归模型预测 RA-LC-CUSUM 计算中包含的特定程序失败风险。将最大累积失败率为 15%定义为能力,并将其用作确定两种方法准确性的参考。
根据 LC-CUSUM 方法,在中位数为 18.5 个块(四分位距[IQR],14-23)后,22 名住院医师(84.61%)达到了能力,而 RA-LC-CUSUM 则在中位数为 17.5 个块(IQR,14-25,P=0.001)后将能力分配给 20 名住院医师(76.92%)。在达到能力时的中位失败率在 LC-CUSUM 下为 6.5%(4%-9.75%),在 RA-LC-CUSUM 下为 6.5%(4%-9%)(P=0.37)。LC-CUSUM 的敏感性(85%;95%置信区间[CI],71%-98%)与 RA-LC-CUSUM 方法相似(77%;95%CI,61%-93%;P=0.15)。两种方法的特异性值相同(67%;95%CI,29%-100%,P=1)。
LC-CUSUM 和 RA-LC-CUSUM 方法与大量假阳性和假阴性率相关。此外,准确性测量值的 95%CI 下限较小,表明该方法在 BPB 住院医师能力的高风险决策中可能不准确。