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Related Concept Videos

Psychosurgery01:30

Psychosurgery

Psychosurgery, the surgical alteration or permanent removal of brain tissue to alleviate severe psychological conditions, stands as one of the most radical and controversial treatments in the history of mental health care. Its development and application have evolved significantly, marked by dramatic shifts in scientific understanding and ethical perspectives.
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In the 1930s, Portuguese neurologist Antonio Egas Moniz introduced a surgical procedure designed...

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Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert

Taseen F Haque1, J Everett Knudsen1, Jonathan You2

  • 1Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California.

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|January 30, 2024
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Summary

This study established a benchmark for robotic suturing competency using the End-to-End Assessment of Suturing Expertise (EASE) tool. The developed standard accurately assessed surgical trainees, ensuring readiness for independent practice.

Keywords:
benchmarkingclinical competenceeducationrobotic surgical procedures

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Area of Science:

  • Surgical Education
  • Robotic Surgery
  • Medical Simulation

Background:

  • Surgical skill assessment tools are crucial for differentiating surgeon experience levels.
  • The End-to-End Assessment of Suturing Expertise (EASE) is a validated measure for suturing performance.
  • Defining competency benchmarks is essential for surgical training and independent practice readiness.

Purpose of the Study:

  • To define a competency benchmark for intraoperative robotic suturing.
  • To utilize the EASE tool as a validated measure of performance in a simulation-based study.
  • To establish a standard for assessing technical readiness in surgical trainees.

Main Methods:

  • Participants performed a dry-lab vesicourethral anastomosis (VUA) robotic suturing exercise.
  • Videos were scored by blinded reviewers using EASE, with inter-rater reliability assessed via PABAK.
  • The Contrasting Group (CG) method was employed to set a pass/fail benchmark score based on expert evaluation.

Main Results:

  • High inter-rater reliability (average PABAK 0.90) was achieved for EASE subskills.
  • A competency benchmark EASE score of >35/39 was established, with a 38% pass rate.
  • The benchmark demonstrated no false positives or negatives, accurately differentiating trainee competency levels.

Conclusions:

  • An absolute standard setting method established competency scores for robotic suturing.
  • The defined benchmark can inform high-stakes decisions regarding trainee technical readiness.
  • Future research will validate this standard in the clinical environment by correlating it with patient outcomes.