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机器人辅助手术中外科团队的需求:不同外科专业手术中术中工作量的评估。

Demands of surgical teams in robotic-assisted surgery: An assessment of intraoperative workload within different surgical specialties.

机构信息

Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.

Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA.

出版信息

Am J Surg. 2023 Sep;226(3):365-370. doi: 10.1016/j.amjsurg.2023.06.010. Epub 2023 Jun 10.

Abstract

BACKGROUND

Current approaches to assessing workload in robotic-assisted surgery (RAS) focus on surgeons and lack real-world data. Understanding how workload varies by role and specialty aids in identifying effective ways to optimize workload.

METHODS

SURG-TLX surveys with six domains of workload were administered to surgical staff at three sites. Staff reported workload perceptions for each domain on a 20-point Likert scale, and aggregate scores were determined per participant.

RESULTS

188 questionnaires were obtained across 90 RAS procedures. Significantly higher aggregate scores were reported for gynecology (Mdn ​= ​30.00) (p ​= ​0.034) and urology (Mdn ​= ​36.50) (p ​= ​0.006) than for general (Mdn ​= ​25.00). Surgeons reported significantly higher scores for task complexity (Mdn ​= ​8.00) than both technicians (Mdn ​= ​5.00) (p ​= ​0.007), and nurses (Mdn ​= ​5.00).

CONCLUSIONS

Staff reported significantly higher workload during urology and gynecology procedures, and experienced significant differences in domain workload by role and specialty, elucidating the need for tailored workload interventions.

摘要

背景

目前评估机器人辅助手术(RAS)工作量的方法侧重于外科医生,缺乏真实数据。了解工作量如何因角色和专业而异有助于确定优化工作量的有效方法。

方法

在三个地点向外科工作人员发放了六维度工作负荷的 SURG-TLX 调查。工作人员在 20 点李克特量表上报告每个领域的工作负荷感知,每个参与者确定总分数。

结果

在 90 例 RAS 手术中获得了 188 份问卷。与普通外科(Mdn=25.00)相比,妇科(Mdn=30.00)(p=0.034)和泌尿科(Mdn=36.50)(p=0.006)的总得分明显更高。外科医生报告的任务复杂性评分(Mdn=8.00)明显高于技术人员(Mdn=5.00)(p=0.007)和护士(Mdn=5.00)。

结论

工作人员报告在泌尿科和妇科手术期间工作量明显更高,并且根据角色和专业在工作量方面存在显著差异,这阐明了需要量身定制的工作量干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e22e/11234353/68585c357a00/nihms-2001964-f0001.jpg

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