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Modular Training for Robot-Assisted Radical Prostatectomy: Where to Begin?

Catherine Lovegrove1, Kamran Ahmed2, Giacomo Novara3

  • 1King's College London, London, United Kingdom.

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|December 10, 2016
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Summary

A new modular training pathway for robot-assisted radical prostatectomy (RARP) was developed. This evidence-based approach prioritizes steps by difficulty, ensuring a safer learning curve for novice surgeons.

Keywords:
Interpersonal and Communication SkillsMedical KnowledgePatient CarePractice-Based Learning and ImprovementProfessionalismRARPmodular trainingsafetysurgical training

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Area of Science:

  • Surgical Education
  • Robotic Surgery
  • Urology

Background:

  • Effective surgical training is crucial for patient safety.
  • Modular training involves mastering surgical steps of increasing complexity.
  • Robot-assisted radical prostatectomy (RARP) requires specialized training.

Purpose of the Study:

  • To develop a modular training pathway for RARP.
  • To identify the learning sequence of RARP procedural steps.
  • To determine when surgeons can perform RARP independently.

Main Methods:

  • A multi-institutional, prospective, observational study.
  • Utilized the validated RARP Score tool for data collection.
  • Constructed a modular pathway based on step difficulty and learning order.

Main Results:

  • Fifteen fellows participated across 15 international centers over 8 months.
  • Surgeons did not learn RARP steps chronologically; difficulty impacted learning order.
  • A new pathway prioritizing difficulty, case number, and frequency was designed.

Conclusions:

  • An evidence-based modular training pathway for RARP has been established.
  • This pathway facilitates a safer introduction to RARP for new surgeons.