Competency, Proficiency, and Mastery: Learning Curves for Robotic Distal Pancreatectomy at 16 International Expert Centers

OBJECTIVE The aim of this study was to evaluate the different phases of the learning curve for robotic distal pancreatectomy (RDP) in international expert centers. SUMMARY BACKGROUND DATA RDP is an emerging minimally invasive approach; however, only limited, mostly single center data are available on its safe implementation, including the learning curve. METHODS Consecutive patients undergoing elective RDP from 16 expert centers across three continents were included to assess the learning curve. Based on the first 100 RDPs at each center, three cutoffs were used to define the learning curve: operative time for competency, major complications (Clavien-Dindo grade ≥III) for proficiency, and textbook outcome for mastery. Clinical outcomes before and after the cutoffs were compared. RESULTS The learning curve analysis was conducted on 1109 of 2403 RDPs. Competency, proficiency, and mastery, respectively, were reached after 46, 63, and 73 RDP procedures. After competency, operative time decreased from 245 to 235 minutes (P=0.002). Attaining proficiency was reflected by a reduction in the rate of major complications from 20% to 15% (P=0.012), and mastery was associated with a higher proportion of patients with textbook outcome (71% vs. 63%; P=0.028). The postoperative pancreatic fistula rate remained stable along the learning curve, ranging between 18.5% and 21.5%. Previous laparoscopic experience accelerated the learning process by virtue of reduced operative time and an earlier decrease in major complications. CONCLUSION Competency, proficiency, and mastery for RDP were reached after 46, 63, and 73 procedures, respectively, at international expert centers. The findings highlight that the learning curves for intraoperative parameters are completed earlier; however, extensive experience is needed to master RDP.

Publication Details

Journal
Zurich Open Repository and Archive (University of Zurich)
Published
2024-11-19
DOI
https://doi.org/10.5167/uzh-276793
Primary Topic
Algorithms and Data Compression
Type
article
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article

Competency, Proficiency, and Mastery: Learning Curves for Robotic Distal Pancreatectomy at 16 International Expert Centers

Zurich Open Repository and Archive (University of Zurich)
Algorithms and Data Compression
article

Competency, Proficiency, and Mastery: Learning Curves for Robotic Distal Pancreatectomy at 16 International Expert Centers

article en

Abstract

OBJECTIVE The aim of this study was to evaluate the different phases of the learning curve for robotic distal pancreatectomy (RDP) in international expert centers. SUMMARY BACKGROUND DATA RDP is an emerging minimally invasive approach; however, only limited, mostly single center data are available on its safe implementation, including the learning curve. METHODS Consecutive patients undergoing elective RDP from 16 expert centers across three continents were included to assess the learning curve. Based on the first 100 RDPs at each center, three cutoffs were used to define the learning curve: operative time for competency, major complications (Clavien-Dindo grade ≥III) for proficiency, and textbook outcome for mastery. Clinical outcomes before and after the cutoffs were compared. RESULTS The learning curve analysis was conducted on 1109 of 2403 RDPs. Competency, proficiency, and mastery, respectively, were reached after 46, 63, and 73 RDP procedures. After competency, operative time decreased from 245 to 235 minutes (P=0.002). Attaining proficiency was reflected by a reduction in the rate of major complications from 20% to 15% (P=0.012), and mastery was associated with a higher proportion of patients with textbook outcome (71% vs. 63%; P=0.028). The postoperative pancreatic fistula rate remained stable along the learning curve, ranging between 18.5% and 21.5%. Previous laparoscopic experience accelerated the learning process by virtue of reduced operative time and an earlier decrease in major complications. CONCLUSION Competency, proficiency, and mastery for RDP were reached after 46, 63, and 73 procedures, respectively, at international expert centers. The findings highlight that the learning curves for intraoperative parameters are completed earlier; however, extensive experience is needed to master RDP.

Zurich Open Repository and Archive (University of Zurich)
Openalex Percentile: Top 59%
Algorithms and Data Compression
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