Division of Management Consulting, University of Iowa, 200 Hawkins Drive, 6-JCP, Iowa City, IA, 52242, USA.
Department of Anesthesia, University of Iowa, Iowa City, IA, USA.
Can J Anaesth. 2017 Jun;64(6):643-655. doi: 10.1007/s12630-017-0866-4. Epub 2017 Mar 27.
Our department monitors the quality of anesthesiologists' clinical supervision and provides each anesthesiologist with periodic feedback. We hypothesized that greater differentiation among anesthesiologists' supervision scores could be obtained by adjusting for leniency of the rating resident.
From July 1, 2013 to December 31, 2015, our department has utilized the de Oliveira Filho unidimensional nine-item supervision scale to assess the quality of clinical supervision provided by faculty as rated by residents. We examined all 13,664 ratings of the 97 anesthesiologists (ratees) by the 65 residents (raters). Testing for internal consistency among answers to questions (large Cronbach's alpha > 0.90) was performed to rule out that one or two questions accounted for leniency. Mixed-effects logistic regression was used to compare ratees while controlling for rater leniency vs using Student t tests without rater leniency.
The mean supervision scale score was calculated for each combination of the 65 raters and nine questions. The Cronbach's alpha was very large (0.977). The mean score was calculated for each of the 3,421 observed combinations of resident and anesthesiologist. The logits of the percentage of scores equal to the maximum value of 4.00 were normally distributed (residents, P = 0.24; anesthesiologists, P = 0.50). There were 20/97 anesthesiologists identified as significant outliers (13 with below average supervision scores and seven with better than average) using the mixed-effects logistic regression with rater leniency entered as a fixed effect but not by Student's t test. In contrast, there were three of 97 anesthesiologists identified as outliers (all three above average) using Student's t tests but not by logistic regression with leniency. The 20 vs 3 was significant (P < 0.001).
Use of logistic regression with leniency results in greater detection of anesthesiologists with significantly better (or worse) clinical supervision scores than use of Student's t tests (i.e., without adjustment for rater leniency).
我们科室对麻醉医师临床监督的质量进行监测,并为每位麻醉医师提供定期反馈。我们假设,通过调整评分住院医师的宽松程度,可以获得麻醉医师监督评分之间更大的差异。
从 2013 年 7 月 1 日至 2015 年 12 月 31 日,我们科室利用德奥利维拉·菲略的一维九项监督量表,评估由住院医师对教员提供的临床监督质量。我们检查了 65 名住院医师(评分者)对 97 名麻醉医师(被评分者)的所有 13664 次评分。对问题答案进行内部一致性测试(大 Cronbach's alpha > 0.90),以排除一个或两个问题导致宽松。使用混合效应逻辑回归比较评分者,同时控制评分者宽松度,而不使用没有评分者宽松度的学生 t 检验。
为 65 名评分者和 9 个问题的每个组合计算了平均监督量表评分。Cronbach's alpha 非常大(0.977)。为每个住院医师和麻醉医师的 3421 个观察组合计算了平均评分。分数等于最大值 4.00 的百分比的对数呈正态分布(住院医师,P = 0.24;麻醉医师,P = 0.50)。使用包含评分者宽松度的固定效应的混合效应逻辑回归,但不使用学生 t 检验,确定了 20/97 名麻醉医师为显著离群值(13 名监督评分低于平均水平,7 名高于平均水平)。相比之下,使用学生 t 检验但不使用包含宽松度的逻辑回归,确定了 97 名麻醉医师中有 3 名(均高于平均水平)为离群值。20 与 3 之间存在显著差异(P < 0.001)。
与不调整评分者宽松度的学生 t 检验相比,使用包含宽松度的逻辑回归可以更有效地检测临床监督评分显著更好(或更差)的麻醉医师。