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Evaluating the evaluators: does C-SATS measure up?

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Summary
This summary is machine-generated.

Robotic surgery skills improve with experience, but current evaluation tools like GEARS struggle to differentiate novice from expert surgeons. More advanced robotic skills assessment platforms are needed for surgical trainees.

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General surgeryRobotic surgerySurgical competency

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Area of Science:

  • Minimally Invasive Surgery
  • Surgical Education
  • Robotic Surgery

Background:

  • Robotic-assisted surgery is increasingly common in general surgery procedures.
  • Proficiency benchmarks and effective training metrics for robotic surgery remain undefined.
  • This study aimed to establish proficiency benchmarks for robotic cholecystectomy and hernia repair.

Purpose of the Study:

  • To define proficiency-based benchmarks in robotic-assisted cholecystectomies (RAC) and inguinal hernia repairs (RIHR).
  • To evaluate the correlation between surgical case volume and proficiency metrics using a competency platform.
  • To assess the construct validity of the Global Evaluative Assessment of Robotic Skills (GEARS) rubric.

Main Methods:

  • A multi-institutional study involving 48 surgeons (residents, fellows, practicing physicians) performing RAC and/or RIHR.
  • Video submissions were reviewed using the C-SATS platform and the GEARS rubric.
  • Correlation between GEARS scores and self-reported historical case volume was analyzed.

Main Results:

  • Overall GEARS scores positively correlated with historical case volume for both RAC (r=0.65) and RIHR (r=0.54).
  • No correlation was found in novice surgeons (residents/fellows) or those with fewer than 50 cases.
  • GEARS scores did not significantly differ between novice and expert surgeons or across different case volume groups.

Conclusions:

  • While GEARS scores correlate with overall experience, they cannot differentiate novice from expert robotic surgeons.
  • The C-SATS platform and GEARS rubric showed limitations in evaluating proficiency for RAC and RIHR.
  • There is a critical need for advanced, discerning robotic skills evaluation tools for surgical trainees.