Literature DB >> 28579070

Improving Teamwork: Evaluating Workload of Surgical Team During Robot-assisted Surgery.

Lora A Cavuoto1, Ahmed A Hussein2, Vivek Vasan3, Youssef Ahmed4, Ayesha Durrani4, Saira Khan4, Adam Cole4, Derek Wang4, Justen Kozlowski4, Basim Ahmad4, Khurshid A Guru5.   

Abstract

OBJECTIVE: To investigate the cognitive and physical workload experienced by each operating room team member for different types of urologic procedures.
METHODS: Surgeons, anesthesiologists, surgical fellows, bedside assistants, circulating nurses, and scrub nurses completed the National Aeronautics and Space Administration Task Load Index questionnaire for various urologic robot-assisted surgery procedures. A total of 338 questionnaires from 55 unique individuals were collected. Workload differences by role, type of procedure, and surgery duration were analyzed using analysis of variance for each of the 6 domains of the National Aeronautics and Space Administration Task Load Index. The effects of trainees' participation on their perceived workload and the workloads of the lead surgeon and bedside assistant were analyzed with correlation.
RESULTS: The role of the surgical team was significant for all the scales of workload, and there was a main effect type of surgery on temporal demand and frustration. Frustration was higher for prostatectomy in comparison to cystectomy for the trainee surgeon. On the other hand, it was lower for the anesthesiologist, bedside assistant, and the circulating nurse. There was no effect of procedural complexity on workload. Regardless of surgical complexity, the trainees performed approximately 40% of the procedure without significantly impacting their perceived workload.
CONCLUSION: This study provides an analysis of variations and contributors to workload parameters and serves as a platform to optimize team members' workload during robot-assisted surgery.
Copyright © 2017 Elsevier Inc. All rights reserved.

Mesh:

Year:  2017        PMID: 28579070     DOI: 10.1016/j.urology.2017.05.012

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  5 in total

1.  Effects of Flow Disruptions on Mental Workload and Surgical Performance in Robotic-Assisted Surgery.

Authors:  Jeannette Weber; Ken Catchpole; Armin J Becker; Boris Schlenker; Matthias Weigl
Journal:  World J Surg       Date:  2018-11       Impact factor: 3.352

2.  Human-centric predictive model of task difficulty for human-in-the-loop control tasks.

Authors:  Ziheng Wang; Ann Majewicz Fey
Journal:  PLoS One       Date:  2018-04-05       Impact factor: 3.240

3.  Human-based dynamics of mental workload in complicated systems.

Authors:  Mohammad-Javad Jafari; Farid Zaeri; Amir H Jafari; Amir T Payandeh Najafabadi; Narmin Hassanzadeh-Rangi
Journal:  EXCLI J       Date:  2019-07-11       Impact factor: 4.068

Review 4.  Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery.

Authors:  Renáta Nagyné Elek; Tamás Haidegger
Journal:  Sensors (Basel)       Date:  2021-04-10       Impact factor: 3.576

5.  Moderated Role of Social Support in the Relationship between Job Strain, Burnout, and Organizational Commitment among Operating Room Nurses: A Cross-Sectional Study.

Authors:  Na Li; Lichuan Zhang; Xuejing Li; Qian Lu
Journal:  Int J Environ Res Public Health       Date:  2022-08-30       Impact factor: 4.614

  5 in total

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