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A mixed-method survey study evaluating two robotic surgical training courses in Germany

  • Sjaak Pouwels*
  • , Beniamino Pascotto
  • , Rodolfo J Oviedo
  • , Marco Raffaelli
  • , Antonio Albuquerque
  • , Adel Abou-Mrad
  • , Juan Santi Azagra
  • , Ricardo Zorron
  • , Jordi Tarascó
  • , Enrique F Elli
  • , Mario Rui Gonçalves
  • , Miljana Vladimirov
  • *Corresponding author

Research output: Contribution to journalArticle

Abstract

Background: Despite considerable efforts of several societies and robotic surgery working groups, there is still no standardized training for robotic surgery for residents. We recently organized two robotic surgical courses in Germany and the goal of this study is to evaluate both courses using a mix-method approach. Materials and methods: An anonymous survey, consisting of twenty-one questions of which seventeen were multiple choice and four were open end questions was filled out by the participants after both courses. Results: A total of 34 participants were present at both courses. Most of the participants were male (29 of 34 (85.3%)), mean age was 46.4 ± 10.2 years, Among the participants, the most of them were consultant surgeons (88.2%) and worked in an Academic Hospital (58.8%). A total of 21 participants had a Robotic system in their hospital. In terms of ideal course format, 64.7% of the respondents preferred a combination of formal lectures with hands-on lab experience. For the hands-on experience 32.4% preferred either a wet lab with organic animal organ ex-plants or with human cadavers. Most important themes in the thematic analysis were duration, frequency, and costs of robotic surgical courses. Conclusion: Robotic surgery is increasing worldwide and therefore adequate robotic surgical training courses are needed to train the future generations of surgeons.
Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalJournal of Robotic Surgery
Volume19
Issue number1
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

All Science Journal Classification (ASJC) codes

  • Surgery
  • Health Informatics

Keywords

  • Minimally invasive surgery
  • Robotic surgery
  • Simulation training
  • Surgical education
  • Survey

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