ArticleAmerican journal of surgery2023
Demands of surgical teams in robotic-assisted surgery: An assessment of intraoperative workload within different surgical specialties.
Article in American journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Multimodal physiological correlates of surgeon stress in live robot-assisted surgery.Surgical endoscopy · 2026Observational
- Surgeon workload in supervised robotic colorectal surgery: a surgical task load index study.Surgical endoscopy · 2026Article
- Robot-assisted total hip arthroplasty (THA) was associated with a shorter learning curve, greater implant accuracy, and reduced team stress than conventional THA when performed by a junior surgeon: a comparative study.Journal of robotic surgery · 2026Article
- Understanding surgeon adoption of artificial intelligence surgical technology: integrating UTAUT-TOE model.Journal of robotic surgery · 2026Article
- Bridging the gap: feasibility and future directions of robotic surgery in Sub-Saharan Africa-a narrative review.Journal of robotic surgery · 2025Review
- Towards automatic quantification of operating table interaction in operating rooms.International journal of computer assisted radiology and surgery · 2025Article
- Subjective workload in operating room team members during robotic hernia procedures.Journal of robotic surgery · 2025Article
- Robot-Assisted Surgery in Endometrial Cancer: A Dual Benefit for Patients and Surgeons.Annals of surgical oncology · 2025Article
- Experiences of robotic surgery nurses regarding technostress: a qualitative study.Journal of robotic surgery · 2025Article
- Patterns and Trends in Global Nursing Robotics Research: A Bibliometric Study.Journal of nursing management · 2025Review
- Cognitive ergonomics and robotic surgery.Journal of robotic surgery · 2024Review
- Examining workload variations among different surgical team roles, specialties, and techniques: a multicenter cross-sectional descriptive study.Perioperative medicine (London, England) · 2024Article
- Neurophysiological Assessment of An Innovative Maritime Safety System in Terms of Ship Operators' Mental Workload, Stress, and Attention in the Full Mission Bridge Simulator.Brain sciences · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundCurrent 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.
methodsSURG-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.
results188 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).
conclusionsStaff 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.