NCT07618429

Brief Summary

Why is the study being done? Robotic-assisted surgery offers high precision and ergonomic benefits, but it requires specialized console skills that differ significantly from traditional open or laparoscopic surgery. A fundamental part of operating a robotic surgical system is clutch control, which allows surgeons to reposition their controllers without moving the actual surgical instruments. Inefficient clutching can disrupt workflow, increase mental workload, and lead to operator fatigue. Modern platforms like the Da Vinci Xi offer two main options for clutching: hand-controlled clutching and foot-controlled clutching. Currently, there is limited research isolating how these different clutch options affect performance, especially for novice operators who have no prior robotic experience. This study aims to evaluate and compare hand clutch versus foot clutch methods to determine which approach better supports efficient skill acquisition, precision, and comfort for beginners. What happens during the study? Surgical trainees with no prior robotic surgery experience will be recruited for this study. After completing an initial baseline questionnaire and receiving a standardized orientation on the equipment, all participants will undergo a 20-minute practice session where they get to try both hand and foot clutching mechanisms. One week after the practice session, participants will return for the formal evaluation and be randomly assigned to one of two groups:

  1. 1.Hand Clutch Group: Participants will complete a standardized simulation task using only the hand clutch button.
  2. 2.Foot Clutch Group: Participants will complete the exact same simulation task using only the foot clutch pedal.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
86

participants targeted

Target at P50-P75 for not_applicable

Timeline
5mo left

Started Jun 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 25, 2026

Completed
7 days until next milestone

First Posted

Study publicly available on registry

June 1, 2026

Completed
14 days until next milestone

Study Start

First participant enrolled

June 15, 2026

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 30, 2026

Expected
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

October 31, 2026

Last Updated

June 2, 2026

Status Verified

May 1, 2026

Enrollment Period

4 months

First QC Date

May 25, 2026

Last Update Submit

May 29, 2026

Conditions

Keywords

Robotic surgerySurgical simulationPsychomotor skill acquisitionTechnical performance metricsRandomized controlled trial

Outcome Measures

Primary Outcomes (1)

  • Overall Clutch Simulation Score

    The overall clutch simulation score is an automated, composite performance score generated by the Da Vinci Xi surgical simulator hardware. The score is automatically calculated by the system's tracking software as the baseline efficiency score minus specific technical penalty points. The efficiency component incorporates total task completion time and economy of instrument motion. Penalty components include discrete technical errors occurring during task performance, such as instrument collisions, instrument out of view. The final score is recorded as a continuous value ranging from 0 to 100, where a score of 100 represents perfect efficiency with zero recorded penalties, and lower scores indicate lower motion efficiency, slower task completion, or a higher frequency of technical errors.

    1 week after enrollment

Secondary Outcomes (7)

  • Total Task Completion Time

    1 week after enrollment

  • Economy of Motion

    1 week after enrollment

  • Instrument Collisions

    1 week after enrollment

  • Camera Usage

    1 week after enrollment

  • Instrument Out-of-View Events

    1 week after enrollment

  • +2 more secondary outcomes

Study Arms (2)

Hand Clutch

ACTIVE COMPARATOR

Participants will complete a standardized simulation task using only the hand clutch button

Other: Hand Clutch

Foot Clutch

ACTIVE COMPARATOR

Participants will complete the exact same simulation task using only the foot clutch pedal

Other: Foot Clutch

Interventions

Participants will complete a standardized simulation task using only the hand clutch button

Hand Clutch

Participants will complete the exact same simulation task using only the foot clutch pedal

Foot Clutch

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Active surgical trainees (residents or fellows) currently enrolled in a recognized surgical specialty program, including general surgery, obstetrics and gynecology, urology, cardiothoracic surgery or pediatric surgery, at Prince of Songkla University
  • Complete absence of prior hands-on experience performing clinical robotic surgery or undergoing formalized robotic simulator training

You may not qualify if:

  • Pre-existing physical, orthopedic, or neurological conditions that impair standard motor function of the upper or lower limbs, including active movement disorders or motor control deficits capable of confounding objective simulation performance metrics.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Prince of Songkla University

Hat Yai, Changwat Songkhla, 90110, Thailand

Location

Related Publications (19)

  • Perez-Salazar MJ, Caballero D, Sanchez-Margallo JA, Sanchez-Margallo FM. Comparative Study of Ergonomics in Conventional and Robotic-Assisted Laparoscopic Surgery. Sensors (Basel). 2024 Jun 14;24(12):3840. doi: 10.3390/s24123840.

    PMID: 38931624BACKGROUND
  • Saqib SU, Bajwa AA. The role of Da Vinci Xi robotic simulation curriculum in enhancing skills in robotic colorectal surgery. Ann Med Surg (Lond). 2023 Sep 20;85(12):6001-6007. doi: 10.1097/MS9.0000000000001342. eCollection 2023 Dec.

    PMID: 38098541BACKGROUND
  • Cannata G, Leone N, Salzano A, Rebecchi F, Morino M. Training in the use of basic functions of the daVinci Xi(R) robot: a comparative study of residents' skills. Updates Surg. 2025 Sep;77(5):1673-1682. doi: 10.1007/s13304-025-02150-z. Epub 2025 Mar 15.

    PMID: 40088400BACKGROUND
  • Mullens CL, Van Horn AL, Marsh JW, Hogg ME, Thomay AA, Schmidt CR, Boone BA. Development of a Senior Medical Student Robotic Surgery Training Elective. J Med Educ Curric Dev. 2021 Jun 29;8:23821205211024074. doi: 10.1177/23821205211024074. eCollection 2021 Jan-Dec.

    PMID: 34263057BACKGROUND
  • Hung AJ, Chen J, Gill IS. Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery. JAMA Surg. 2018 Aug 1;153(8):770-771. doi: 10.1001/jamasurg.2018.1512. No abstract available.

    PMID: 29926095BACKGROUND
  • Wile RK, Brian R, Rodriguez N, Chern H, Cruff J, O'Sullivan PS. Home practice for robotic surgery: a randomized controlled trial of a low-cost simulation model. J Robot Surg. 2023 Oct;17(5):2527-2536. doi: 10.1007/s11701-023-01688-7. Epub 2023 Aug 2.

    PMID: 37531043BACKGROUND
  • Sridhar AN, Briggs TP, Kelly JD, Nathan S. Training in Robotic Surgery-an Overview. Curr Urol Rep. 2017 Aug;18(8):58. doi: 10.1007/s11934-017-0710-y.

    PMID: 28647793BACKGROUND
  • Wong SW, Crowe P. Visualisation ergonomics and robotic surgery. J Robot Surg. 2023 Oct;17(5):1873-1878. doi: 10.1007/s11701-023-01618-7. Epub 2023 May 19.

    PMID: 37204648BACKGROUND
  • Rahimi AM, Uluc E, Hardon SF, Bonjer HJ, van der Peet DL, Daams F. Training in robotic-assisted surgery: a systematic review of training modalities and objective and subjective assessment methods. Surg Endosc. 2024 Jul;38(7):3547-3555. doi: 10.1007/s00464-024-10915-7. Epub 2024 May 30.

    PMID: 38814347BACKGROUND
  • Soomro NA, Hashimoto DA, Porteous AJ, Ridley CJA, Marsh WJ, Ditto R, Roy S. Systematic review of learning curves in robot-assisted surgery. BJS Open. 2020 Feb;4(1):27-44. doi: 10.1002/bjs5.50235. Epub 2019 Nov 29.

    PMID: 32011823BACKGROUND
  • Catchpole K, Cohen T, Alfred M, Lawton S, Kanji F, Shouhed D, Nemeth L, Anger J. Human Factors Integration in Robotic Surgery. Hum Factors. 2024 Mar;66(3):683-700. doi: 10.1177/00187208211068946. Epub 2022 Mar 5.

    PMID: 35253508BACKGROUND
  • Zhao B, Hollandsworth HM, Lee AM, Lam J, Lopez NE, Abbadessa B, Eisenstein S, Cosman BC, Ramamoorthy SL, Parry LA. Making the Jump: A Qualitative Analysis on the Transition From Bedside Assistant to Console Surgeon in Robotic Surgery Training. J Surg Educ. 2020 Mar-Apr;77(2):461-471. doi: 10.1016/j.jsurg.2019.09.015. Epub 2019 Sep 23.

    PMID: 31558428BACKGROUND
  • Huang Y, Lai W, Cao L, Liu J, Li X, Burdet E, Phee SJ. A Three-Limb Teleoperated Robotic System with Foot Control for Flexible Endoscopic Surgery. Ann Biomed Eng. 2021 Sep;49(9):2282-2296. doi: 10.1007/s10439-021-02766-3. Epub 2021 Apr 8.

    PMID: 33834351BACKGROUND
  • Van't Hullenaar CDP, Mertens AC, Ruurda JP, Broeders IAMJ. Validation of ergonomic instructions in robot-assisted surgery simulator training. Surg Endosc. 2018 May;32(5):2533-2540. doi: 10.1007/s00464-017-5959-1. Epub 2017 Dec 20.

    PMID: 29264759BACKGROUND
  • Walliczek-Dworschak U, Mandapathil M, Fortsch A, Teymoortash A, Dworschak P, Werner JA, Guldner C. Structured training on the da Vinci Skills Simulator leads to improvement in technical performance of robotic novices. Clin Otolaryngol. 2017 Feb;42(1):71-80. doi: 10.1111/coa.12666. Epub 2016 May 15.

    PMID: 27133186BACKGROUND
  • Kumar A, Smith R, Patel VR. Current status of robotic simulators in acquisition of robotic surgical skills. Curr Opin Urol. 2015 Mar;25(2):168-74. doi: 10.1097/MOU.0000000000000137.

    PMID: 25574791BACKGROUND
  • Castaldi MT, Palmer M, Con J, Bergamaschi R. Robotic-Assisted Surgery Training (RAST): Assessment of Surgeon Console Ergonomic Skills. J Surg Educ. 2023 Nov;80(11):1723-1735. doi: 10.1016/j.jsurg.2023.08.019. Epub 2023 Sep 26.

    PMID: 37770293BACKGROUND
  • van der Schatte Olivier RH, Van't Hullenaar CD, Ruurda JP, Broeders IA. Ergonomics, user comfort, and performance in standard and robot-assisted laparoscopic surgery. Surg Endosc. 2009 Jun;23(6):1365-71. doi: 10.1007/s00464-008-0184-6. Epub 2008 Oct 15.

    PMID: 18855053BACKGROUND
  • Wong, S. W., & Wong, A. L. (2025). Ergonomic challenges and barriers of robotic surgery-A review. Annals of Laparoscopic and Endoscopic Surgery, 10(0). https://doi.org/10.21037/ales-25-10

    BACKGROUND

Related Links

Study Officials

  • Supakool Jearanai, MD

    Department of Surgery, Faculty of Medicine, Prince of Songkla University

    STUDY CHAIR

Central Study Contacts

Juthamas Jenyongsak, MD

CONTACT

Ponlagrit Kumwichar, MD, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
INVESTIGATOR, OUTCOMES ASSESSOR
Masking Details
This study utilizes a investigator and outcome assessor masked design to minimize bias during the enrollment, testing administration, and data recording phases: 1. Investigator Masking: Investigators responsible for recruiting, screening, obtaining consent, and providing the initial pre-simulation orientation remain masked to group assignments. Participants are handed a sealed, opaque envelope containing their random group allocation before entering the isolated simulation room. The envelope is opened only by the participant once the doors are closed and they are alone in the room, ensuring the investigator has no knowledge of whether the participant is using the hand clutch or foot clutch modality. 2. Outcome Assessor Masking: The simulation task is performed entirely in isolation. Once the participant completes the simulation and exits the room, the outcome assessor enters the room to record the objective performance metrics directly from the simulator software report screen. Becaus
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

May 25, 2026

First Posted

June 1, 2026

Study Start

June 15, 2026

Primary Completion (Estimated)

September 30, 2026

Study Completion (Estimated)

October 31, 2026

Last Updated

June 2, 2026

Record last verified: 2026-05

Data Sharing

IPD Sharing
Will share

De-identified individual participant data will be made available via a dedicated GitHub repository upon publication.

Shared Documents
STUDY PROTOCOL, ANALYTIC CODE
Time Frame
The identified IPD will be shared after completion of the study in GitHub. There is no end date.
Access Criteria
Anyone.
More information

Locations