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Surgical Endoscopy

, Volume 33, Issue 7, pp 2093–2103 | Cite as

The Heidelberg VR Score: development and validation of a composite score for laparoscopic virtual reality training

  • Mona W. Schmidt
  • Karl-Friedrich Kowalewski
  • Marc L. Schmidt
  • Erica Wennberg
  • Carly R. Garrow
  • Sang Paik
  • Laura Benner
  • Marlies P. Schijven
  • Beat P. Müller-Stich
  • Felix NickelEmail author
Article
  • 174 Downloads

Abstract

Introduction

Virtual reality (VR-)trainers are well integrated in laparoscopic surgical training. However, objective feedback is often provided in the form of single parameters, e.g., time or number of movements, making comparisons and evaluation of trainees’ overall performance difficult. Therefore, a new standard for reporting outcome data is highly needed. The aim of this study was to create a weighted, expert-based composite score, to offer simple and direct evaluation of laparoscopic performance on common VR-trainers.

Materials and methods

An integrated analytic hierarchy process-Delphi survey was conducted with 14 international experts to achieve a consensus on the importance of different skill categories and parameters in evaluation of laparoscopic performance. A scoring algorithm was established to allow comparability between tasks and VR-trainers. A weighted composite score was calculated for basic skills tasks and peg transfer on the LapMentor™ II and III and validated for both VR-trainers.

Results

Five major skill categories (time, efficiency, safety, dexterity, and outcome) were identified and weighted in two Delphi rounds. Safety, with a weight of 67%, was determined the most important category, followed by efficiency with 17%. The LapMentor™-specific score was validated using 15 (14) novices and 9 experts; the score was able to differentiate between both groups for basic skills tasks and peg transfer (LapMentor™ II: Exp: 86.5 ± 12.7, Nov. 52.8 ± 18.3; p < 0.001; LapMentor™ III: Exp: 80.8 ± 7.1, Nov: 50.6 ± 16.9; p < 0.001).

Conclusion

An effective and simple performance measurement was established to propose a new standard in analyzing and reporting VR outcome data—the Heidelberg virtual reality (VR) score. The scoring algorithm and the consensus results on the importance of different skill aspects in laparoscopic surgery are universally applicable and can be transferred to any simulator or task. By incorporating specific expert baseline data for the respective task, comparability between tasks, studies, and simulators can be achieved.

Keywords

Minimally invasive surgery Virtual reality trainer Score Skill assessment Analytic hierarchy process Delphi 

Notes

Acknowledgements

The authors would like to thank all members of the expert panel for their support: Esther Bonrath, Germany; Sanne Botden, Netherlands; Julian Bucher, Germany; Dieter Hahnloser, Switzerland, Daniel A. Hashimoto, USA; Tobias Huber, Germany; Georg Linke, Switzerland; Sören Torge Mees, Germany; Daniel Miscovic, UK; Christoph Reißfelder, Germany; Marlies Schijven, Netherlands; Lee Swanström, France; Siska van Bruwane, Belgium; Markus Wallwiener, Germany. Furthermore, we would like to thank Hubertus Feußner, Laurents Stassen, and Thomas Vogel for sharing their experience for this project. Furthermore, the authors would like to thank Mr. Nicolas Billen for his help with implementing the scoring algorithm, Mr. Samuel Kilian for his help during the calculation process, and Ms. Linhong Li for her help with setting up the website.

Compliance with ethical standards

Disclosure

Mona W. Schmidt, Karl-Friedrich Kowalewski, Marc L. Schmidt, Erica Wennberg, Carly R. Garrow, Sang Paik, Laura Benner, Marlies Schijven, Beat-Peter Müller Stich, and Felix Nickel have no conflict of interest or financial ties to disclose.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Mona W. Schmidt
    • 1
  • Karl-Friedrich Kowalewski
    • 1
  • Marc L. Schmidt
    • 2
  • Erica Wennberg
    • 1
  • Carly R. Garrow
    • 1
  • Sang Paik
    • 1
  • Laura Benner
    • 3
  • Marlies P. Schijven
    • 4
  • Beat P. Müller-Stich
    • 1
  • Felix Nickel
    • 1
    Email author
  1. 1.Department of General, Visceral, and Transplantation SurgeryHeidelberg University HospitalHeidelbergGermany
  2. 2.KarlsruheGermany
  3. 3.Department of Medical Biometry and InformaticsUniversity of HeidelbergHeidelbergGermany
  4. 4.Deparment of Surgery, Amsterdam Gastroenterology and Metabolism, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands

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