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机器人手术中高级实践提供者的规范化培训提高了术中协助的质量。

Protocolized Training of Advanced Practice Providers for Robotic Surgery Improves the Quality of Intraoperative Assistance.

机构信息

Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Department of Population and Quantitative Health Science, School of Medicine, Case Western Reserve University, Cleveland, Ohio.

出版信息

JSLS. 2022 Jul-Sep;26(3). doi: 10.4293/JSLS.2022.00024.

Abstract

BACKGROUND

The expansion of robotic surgery requires identifying factors of competent robotic bedside assisting. Surgical trainees desire more robotic console time, and we hypothesized that protocolized robotic surgery bedside training could equip Advanced Practice Providers (APPs) to meet this growing need. No standardized precedent exists for training APPs.

METHODS

We designed a pilot study consisting of didactic and clinical skills. APPs completed didactic tests followed by proctored clinical skills checklists intraoperatively. Operating surgeons scored trainees with 10-point Likert scale (< 5 not confident, > 5 = confident). APPs scoring > 5 advanced to a solo practicum. Competence was defined as: didactic test score > 75 percentile, completing < 5 checklists, scoring > 5 on the practicum. The probability of passing the practicum was calculated with Bayes theorem.

RESULTS

Of 10 APP trainees, 5 passed on initial attempt. After individualized development plans, 4 passed retesting. Differences in trainee factors were not statistically significant, but the probability of passing the practicum was < 50% if more than four checklists were needed.

CONCLUSIONS

Clinical experience, not didactic knowledge, determines the probability of intraoperative competence. Increasing clinical proctoring did not result in higher probability of competence. Early identification of APPs needing individualized improvement increases the proportion of competent APPs.

摘要

背景

机器人手术的扩展需要确定有能力进行机器人床旁协助的因素。外科培训生希望有更多的机器人控制台时间,我们假设规范化的机器人手术床旁培训可以使高级实践提供者(APP)能够满足这一不断增长的需求。目前还没有培训 APP 的标准化先例。

方法

我们设计了一项由理论和临床技能组成的试点研究。APP 先完成理论测试,然后在手术室内进行监督临床技能检查表。手术医生使用 10 分制 Likert 量表(< 5 表示不自信,> 5 表示自信)对学员进行评分。评分> 5 的 APP 可以进入单独实习阶段。胜任力的定义为:理论测试得分> 75 百分位,完成< 5 份检查表,实习评分> 5。使用贝叶斯定理计算通过实习的概率。

结果

在 10 名 APP 培训生中,有 5 名在初次尝试时通过。经过个性化发展计划,有 4 名在重新测试时通过。学员因素的差异没有统计学意义,但如果需要完成超过 4 份检查表,则通过实习的概率< 50%。

结论

临床经验而不是理论知识决定了术中胜任力的概率。增加临床监督并没有提高胜任力的概率。早期识别需要个性化改进的 APP 可以提高胜任 APP 的比例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2f/9355795/99525a3dcc99/LS-JSLS220037F001.jpg

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