From the Department of Emergency Medicine (A.K.), Loyola University Chicago, Stritch School of Medicine, Maywood, IL; Department of Anesthesiology (R.A.R.), Medical College of Wisconsin, Milwaukee, WI; Department of Family Medicine (H.M.V.), Adventist Hinsdale Hospital, Hinsdale, IL; Department of Medical Education (W.H.A), Loyola University Chicago, Stritch School of Medicine, Maywood, IL; and Departments of Emergency Medicine and Medical Education (T.R.), Loyola University Chicago, Stritch School of Medicine, Maywood, IL.
Simul Healthc. 2022 Feb 1;17(1):15-21. doi: 10.1097/SIH.0000000000000554.
Simulation-based mastery learning (SBML) improves skill transfer to humans. However, limited data exist to support the practice of performing additional training attempts once mastery has been achieved. We explored whether implementing this concept in an SBML model improves skill transfer in ultrasound-guided peripheral intravenous (USGPIV) catheter placement from simulator to humans.
Forty-eight first- and second-year medical students underwent SBML for USGPIV placement to mastery standards on a simulator once to achieve minimum passing standard based on a 19-item checklist. Next, they completed either 0, 4, or 8 additional mastery level simulated performances in nonconsecutive order before attempting USGPIV placement on a human. An unplanned post hoc retention phase occurred 6 months later where participants' USGPIV skills were reassessed on a second human volunteer using the same checklist.
In this sample, the success rate among the 3 training cohorts did not improve as the number of additional training sessions increased (exact P = 0.60) and were comparable among the 3 cohorts (exact P = 0.82). The overall checklist performance was also comparable among the 3 cohorts (exact P = 0.57). In an unplanned (small) sample of returning participants, the USGPIV retention rate exceeded 80% for those originally assigned to 4 or 8 sessions, whereas the retention rate fell less than 50% for those originally assigned to control. Among these returning participants, the overall success rate was 58% on the initial assessment and was 68% on retention.
In this sample of novices, we were unable to show that up to 8 additional mastery level performances of USGPIV placement on a simulator following SBML training improve skill transfer for both USGPIV placement success and total checklist performance.
基于模拟的精通学习(SBML)可提高技能向人类的转移。但是,目前的数据有限,无法支持在达到精通后进行额外训练尝试的实践。我们探讨了在 SBML 模型中实施这一概念是否可以提高超声引导外周静脉(USGPIV)置管从模拟器到人类的技能转移。
48 名一年级和二年级医学生在模拟器上进行了 USGPIV 置管的 SBML 训练,直到达到基于 19 项检查表的最低通过标准。然后,他们在尝试在人体上进行 USGPIV 置管之前,以非连续的顺序完成 0、4 或 8 次额外的精通水平模拟操作。6 个月后,他们进行了一次无计划的保留阶段,使用相同的检查表在第二个人体志愿者上重新评估他们的 USGPIV 技能。
在这个样本中,随着额外训练次数的增加,3 个训练组的成功率并没有提高(确切 P = 0.60),而且 3 个组之间的成功率相当(确切 P = 0.82)。3 个组之间的检查表总体表现也相当(确切 P = 0.57)。在一个计划外的(小)返回参与者样本中,对于最初被分配到 4 次或 8 次的参与者,USGPIV 的保留率超过 80%,而对于最初被分配到对照组的参与者,保留率则低于 50%。在这些返回的参与者中,最初评估的总体成功率为 58%,保留率为 68%。
在这个新手样本中,我们无法证明在 SBML 训练后,在模拟器上进行多达 8 次的 USGPIV 放置的额外精通水平操作可以提高 USGPIV 放置的成功率和总检查表表现的技能转移。