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Dos Santos Almeida Farinha RJ, Piro A, Mottaran A, Paciotti M, Puliatti S, Breda A, Porter J, Van Cleynenbreugel B, Vander Sloten J, Mottrie A, Gallagher AG. Development and validation of metrics for a new RAPN training model. J Robot Surg 2024; 18:153. [PMID: 38563887 DOI: 10.1007/s11701-024-01911-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 03/13/2024] [Indexed: 04/04/2024]
Abstract
Robot-assisted partial nephrectomy (RAPN) is a complex and index procedure that urologists need to learn how to perform safely. No validated performance metrics specifically developed for a RAPN training model (TM) exist. A Core Metrics Group specifically adapted human RAPN metrics to be used in a newly developed RAPN TM, explicitly defining phases, steps, errors, and critical errors. A modified Delphi meeting concurred on the face and content validation of the new metrics. One hundred percent consensus was achieved by the Delphi panel on 8 Phases, 32 Steps, 136 Errors and 64 Critical Errors. Two trained assessors evaluated recorded video performances of novice and expert RAPN surgeons executing an emulated RAPN in the newly developed TM. There were no differences in procedure Steps completed by the two groups. Experienced RAPN surgeons made 34% fewer Total Errors than the Novice group. Performance score for both groups was divided at the median score using Total Error scores, into HiError and LoError subgroups. The LowErrs Expert RAPN surgeons group made 118% fewer Total Errors than the Novice HiErrs group. Furthermore, the LowErrs Expert RAPN surgeons made 77% fewer Total Errors than the HiErrs Expert RAPN surgeons. These results established construct and discriminative validity of the metrics. The authors described a novel RAPN TM and its associated performance metrics with evidence supporting their face, content, construct, and discriminative validation. This report and evidence support the implementation of a simulation-based proficiency-based progression (PBP) training program for RAPN.
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Affiliation(s)
| | - Adele Piro
- Division of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Angelo Mottaran
- Division of Urology, IRCCS Azienda Ospedaliero - Universitaria di Bologna, Bologna, Italy
| | - Marco Paciotti
- Department of Urology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Stefano Puliatti
- Division of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Alberto Breda
- Department of Urology, Universitat Autonoma de Barcelona, Fundació Puigvert, Barcelona, Spain
| | - James Porter
- Swedish Urology Group, Swedish Medical Center, Seattle, WA, USA
| | - Ben Van Cleynenbreugel
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Jos Vander Sloten
- Department of Mechanical Engineering, Section of Biomechanics, KU Leuven, Leuven, Belgium
| | - Alexandre Mottrie
- Orsi Academy, Proefhoevestraat 12, 9090, Ghent, Belgium
- Department of Urology, Onze-Lieve-Vrouw Ziekenhuis, Aalst, Belgium
| | - Anthony G Gallagher
- Orsi Academy, Proefhoevestraat 12, 9090, Ghent, Belgium
- Faculty of Medicine, KU Leuven, Leuven, Belgium
- Faculty of Life and Health Sciences, Ulster University, Derry, Northern Ireland, UK
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