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Open Access 14-08-2023 | Esophagus Resection | 2022 EAES Oral

Analysis of training pathway to reach expert performance levels based on proficiency-based progression in robotic-assisted minimally invasive esophagectomy (RAMIE)

Authors: Dolores T. Müller, Stefanie Brunner, Jennifer Straatman, Benjamin Babic, Jennifer A. Eckhoff, Alissa Reisewitz, Christian Storms, Lars M. Schiffmann, Thomas Schmidt, Wolfgang Schröder, Christiane J. Bruns, Hans F. Fuchs

Published in: Surgical Endoscopy | Issue 9/2023

Abstract

Background

Robotic-assisted minimally invasive esophagectomy (RAMIE) was first introduced in 2003 and has since then shown to significantly improve the postoperative course. Previous studies have shown that a structured training pathway based on proficiency-based progression using individual skill levels as measures of reach of competence can enhance surgical performance. The aim of this study was to evaluate and help understand our pathway to reach surgical expert levels using a proficiency-based approach introducing RAMIE at our German high-volume center.

Methods

All patients undergoing RAMIE performed by two experienced surgeons for esophageal cancer since the introduction of the robotic technique in 2017 was included in this analysis. Intraoperative outcomes and postoperative outcomes were included in the analysis. The cumulative sum method was used to analyze how many cases are needed to reach expert levels for different performance characteristics and skill sets during robotic-assisted minimally invasive esophagectomy.

Results

From 06/2017 to 03/2022, a total of 154 patients underwent RAMIE at our facility and were included in the analysis. An advancement in performance level was observed for total operating time after 70 cases and for thoracic operative time after 79 cases. Lymph node yield showed an increase up until case 60 in the CUSUM analysis. Length of hospital stay stabilized after case 55. The CCI score inflection point was at case 55 in both CUSUM and regression analyses. Anastomotic leak rate stabilized at case 38 and showed another inflection point after case 83.

Conclusion

Our data and analysis showed the progression from proficient to expert performance levels during the implementation of RAMIE at a European high-volume center. Further analysis of surgeons, especially with a different training status has yet to reveal if the caseloads found in this study are universally applicable. However, skill acquisition and respective measures of such are diverse and as a great range of number of cases was observed, we believe that the learning curve and ascent in performance levels cannot be defined by one parameter alone.

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Title: Analysis of training pathway to reach expert performance levels based on proficiency-based progression in robotic-assisted minimally invasive esophagectomy (RAMIE)
Authors: Dolores T. Müller
Stefanie Brunner
Jennifer Straatman
Benjamin Babic
Jennifer A. Eckhoff
Alissa Reisewitz
Christian Storms
Lars M. Schiffmann
Thomas Schmidt
Wolfgang Schröder
Christiane J. Bruns
Hans F. Fuchs
Publication date: 14-08-2023
Publisher: Springer US
Keywords: Esophagus Resection
Esophagus Resection
Published in: Surgical Endoscopy / Issue 9/2023
Print ISSN: 0930-2794
Electronic ISSN: 1432-2218
DOI: https://doi.org/10.1007/s00464-023-10308-2

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Analysis of training pathway to reach expert performance levels based on proficiency-based progression in robotic-assisted minimally invasive esophagectomy (RAMIE)

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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