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Basile G, Gallioli A, Diana P, Gallagher A, Larcher A, Graefen M, Harke N, Traxer O, Tilki D, Van Der Poel H, Emiliani E, Angerri O, Wagner C, Montorsi F, Wiklund P, Somani B, Buffi N, Mottrie A, Liatsikos E, Breda A. Current Standards for Training in Robot-assisted Surgery and Endourology: A Systematic Review. Eur Urol 2024:S0302-2838(24)02304-2. [PMID: 38644144 DOI: 10.1016/j.eururo.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/25/2024] [Accepted: 04/08/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND AND OBJECTIVE Different training programs have been developed to improve trainee outcomes in urology. However, evidence on the optimal training methodology is sparse. Our aim was to provide a comprehensive description of the training programs available for urological robotic surgery and endourology, assess their validity, and highlight the fundamental elements of future training pathways. METHODS We systematically reviewed the literature using PubMed/Medline, Embase, and Web of Science databases. The validity of each training model was assessed. The methodological quality of studies on metrics and curricula was graded using the MERSQI scale. The level of evidence (LoE) and level of recommendation for surgical curricula were awarded using the educational Oxford Centre for Evidence-Based Medicine classification. KEY FINDINGS AND LIMITATIONS A total of 75 studies were identified. Many simulators have been developed to aid trainees in mastering skills required for both robotic and endourology procedures, but only four demonstrated predictive validity. For assessment of trainee proficiency, we identified 18 in robotics training and six in endourology training; however, the majority are Likert-type scales. Although proficiency-based progression (PBP) curricula demonstrated superior outcomes to traditional training in preclinical settings, only four of six (67%) in robotics and three of nine (33%) in endourology are PBP-based. Among these, the Fundamentals of Robotic Surgery and the SIMULATE curricula have the highest LoE (level 1b). The lack of a quantitative synthesis is the main limitation of our study. CONCLUSIONS AND CLINICAL IMPLICATIONS Training curricula that integrate simulators and PBP methodology have been introduced to standardize trainee outcomes in robotics and endourology. However, evidence regarding their educational impact remains restricted to preclinical studies. Efforts should be made to expand these training programs to different surgical procedures and assess their clinical impact. PATIENT SUMMARY Simulation-based training and programs in which progression is based on proficiency represent the new standard of quality for achieving surgical proficiency in urology. Studies have demonstrated the educational impact of these approaches. However, there are still no standardized training pathways for several urology procedures.
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Affiliation(s)
- Giuseppe Basile
- Department of Urology, Fundació Puigvert, Barcelona, Spain; Department of Urology, IRCCS San Raffaele Hospital, Milan, Italy.
| | - Andrea Gallioli
- Department of Urology, Fundació Puigvert, Barcelona, Spain; Department of Surgery, Autonomous University of Barcelona, Bellaterra, Spain
| | - Pietro Diana
- Department of Urology, Fundació Puigvert, Barcelona, Spain; Department of Surgery, Autonomous University of Barcelona, Bellaterra, Spain; Department of Urology, Humanitas Clinical and Research Institute IRCCS, Rozzano, Italy
| | - Anthony Gallagher
- Faculty of Medicine, KU Leuven, Leuven, Belgium; Faculty of Health and Life Sciences, Ulster University, Coleraine, UK; ORSI Academy, Melle, Belgium
| | | | - Markus Graefen
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Nina Harke
- Department of Urology, Hannover Medical School, Hannover, Germany
| | - Olivier Traxer
- Department of Urology, Sorbonne University, Tenon Hospital, AP-HP, Paris, France
| | - Derya Tilki
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, Koc University Hospital, Istanbul, Turkey
| | - Henk Van Der Poel
- Department of Urology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Oriol Angerri
- Department of Urology, Fundació Puigvert, Barcelona, Spain
| | - Christian Wagner
- Prostate Center Northwest, Department of Urology, Pediatric Urology and Uro-Oncology, St. Antonius-Hospital, Gronau, Germany
| | | | - Peter Wiklund
- Icahn School of Medicine, Mount Sinai Health System New York City, NY, USA; Department of Urology, Karolinska Institutet, Stockholm, Sweden
| | - Bhaskar Somani
- Department of Urology, University Hospital Southampton NHS Trust, Southampton, UK
| | - Nicolò Buffi
- Department of Urology, Humanitas Clinical and Research Institute IRCCS, Rozzano, Italy
| | - Alex Mottrie
- ORSI Academy, Melle, Belgium; Department of Urology, OLV Hospital, Aalst, Belgium
| | | | - Alberto Breda
- Department of Urology, Fundació Puigvert, Barcelona, Spain; Department of Surgery, Autonomous University of Barcelona, Bellaterra, Spain
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Checcucci E, Puliatti S, Pecoraro A, Piramide F, Campi R, Carrion DM, Esperto F, Afferi L, Veneziano D, Somani B, Vásquez JL, Fiori C, Mottrie A, Amato M, N'Dow J, Porpiglia F, Liatsikos E, Rivas JG, Cacciamani GE. ESRU-ESU-YAU_UROTECH Survey on Urology Residents Surgical Training: Are We Ready for Simulation and a Standardized Program? EUR UROL SUPPL 2024; 61:18-28. [PMID: 38384440 PMCID: PMC10879935 DOI: 10.1016/j.euros.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2023] [Indexed: 02/23/2024] Open
Abstract
Background Currently, the landscape of surgical training is undergoing rapid evolution, marked by the initial implementation of standardized surgical training programs, which are further facilitated by the emergence of new technologies. However, this proliferation is uneven across various countries and hospitals. Objective To offer a comprehensive overview of the existing surgical training programs throughout Europe, with a specific focus on the accessibility of simulation resources and standardized surgical programs. Design setting and participants A dedicated survey was designed and spread in May 2022 via the European Association of Urology (EAU) mail list, to Young Urologist Office (YUO), Junior membership, European Urology Residents Education Program participants between 2014 and 2022, and other urologists under 40 yr, and via the EAU Newsletter. Intervention A 64-item, online-based survey in accordance with the Checklist for Reporting Results of Internet E-Surveys (CHERRIES) using the platform of Survey Monkey (Portland, OR, USA) was realized. Outcome measurements and statistical analysis The study involved an assessment of the demographic characteristics. Additionally, it explored the type of center, availability of various surgical approaches, presence of training infrastructure, participation in courses, organization of training, and participants' satisfaction with the training program. The level of satisfaction was evaluated using a Likert-5 scale. The subsequent sections delved into surgical training within the realms of open, laparoscopic, robotic, and endoscopic surgery, each explored separately. Finally, the investigation encompassed the presence of a structured training course and the availability of a duly validated final evaluation process. Results and limitations There were 375 responders with a completion rate of 82%. Among them, 75% were identified as male, 50.6% were young urologists, 31.7% were senior residents, and 17.6% were junior residents. A significant majority of participants (69.6%) were affiliated with academic centers. Regarding the presence of dry lab training facilities, only 50.3% of respondents indicated its availability. Among these centers, 46.7% were primarily focused on laparoscopy training. The availability of virtual and wet lab training centers was even more limited, with rates of 31.5% and 16.2%, respectively. Direct patient involvement was reported in 80.5% of cases for open surgery, 58.8% for laparoscopy, 25.0% for robotics, and 78.6% for endourology. It is worth noting that in <25% of instances, training followed a well-defined standardized program comprising both preclinical and clinical modular phases. Finally, the analysis of participant feedback showed that 49.7% of respondents expressed a satisfaction rating of either 4 or 5 points with respect to the training program. The limitations of our study include the low response rate, predominance of participants from academic centers, and absence of responses from individuals not affiliated with the EAU network. Conclusions The current distribution of surgical training centers falls short of ensuring widespread access to standardized training programs. Although dry lab facilities are relatively well spread, the availability of wet lab resources remains restricted. Additionally, it appears that many trainees' initial exposure to surgery occurs directly with patients. There is a pressing need for continued endeavors to establish uniform training routes and assessment techniques across various surgical methodologies. Patient summary Nowadays, the surgical training landscape is heterogeneous across different countries. The implementation of a standardized training methodology to enhance the overall quality of surgical training and thereby improving patient outcomes is needed.
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Affiliation(s)
- Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy
| | - Stefano Puliatti
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Alessio Pecoraro
- Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Florence, Italy
| | - Federico Piramide
- Department of Urology, AOU San Luigi Gonzaga – University of Turin, Orbassano (To), Piemonte, Italy
| | - Riccardo Campi
- Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Florence, Italy
| | - Diego M. Carrion
- Torrejon University Hospital, Madrid, Spain
- Universidad Francisco de Vitoria, Madrid, Spain
| | - Francesco Esperto
- Department of Urology, Campus Biomedico University of Rome, Rome, Italy
| | - Luca Afferi
- Department of Urology, Luzerner Kantonsspital, Lucerne, Switzerland
| | | | - Bhaskar Somani
- Department of Urology, University Hospital Southampton NHS Trust, Southampton, UK
| | | | - Cristian Fiori
- Department of Urology, AOU San Luigi Gonzaga – University of Turin, Orbassano (To), Piemonte, Italy
| | - Alex Mottrie
- Department of Urology, OLV Hospital, Aalst, Belgium
- ORSI Academy, Melle, Belgium
| | - Marco Amato
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - James N'Dow
- Academic Urology Unit, University of Aberdeen, Aberdeen, UK
- Department of Urology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Francesco Porpiglia
- Department of Urology, AOU San Luigi Gonzaga – University of Turin, Orbassano (To), Piemonte, Italy
| | | | - Juan Gomez Rivas
- Department of Urology, Hospital Clinico San Carlos, Madrid, Spain
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Boal MWE, Anastasiou D, Tesfai F, Ghamrawi W, Mazomenos E, Curtis N, Collins JW, Sridhar A, Kelly J, Stoyanov D, Francis NK. Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review. Br J Surg 2024; 111:znad331. [PMID: 37951600 PMCID: PMC10771126 DOI: 10.1093/bjs/znad331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND There is a need to standardize training in robotic surgery, including objective assessment for accreditation. This systematic review aimed to identify objective tools for technical skills assessment, providing evaluation statuses to guide research and inform implementation into training curricula. METHODS A systematic literature search was conducted in accordance with the PRISMA guidelines. Ovid Embase/Medline, PubMed and Web of Science were searched. Inclusion criterion: robotic surgery technical skills tools. Exclusion criteria: non-technical, laparoscopy or open skills only. Manual tools and automated performance metrics (APMs) were analysed using Messick's concept of validity and the Oxford Centre of Evidence-Based Medicine (OCEBM) Levels of Evidence and Recommendation (LoR). A bespoke tool analysed artificial intelligence (AI) studies. The Modified Downs-Black checklist was used to assess risk of bias. RESULTS Two hundred and forty-seven studies were analysed, identifying: 8 global rating scales, 26 procedure-/task-specific tools, 3 main error-based methods, 10 simulators, 28 studies analysing APMs and 53 AI studies. Global Evaluative Assessment of Robotic Skills and the da Vinci Skills Simulator were the most evaluated tools at LoR 1 (OCEBM). Three procedure-specific tools, 3 error-based methods and 1 non-simulator APMs reached LoR 2. AI models estimated outcomes (skill or clinical), demonstrating superior accuracy rates in the laboratory with 60 per cent of methods reporting accuracies over 90 per cent, compared to real surgery ranging from 67 to 100 per cent. CONCLUSIONS Manual and automated assessment tools for robotic surgery are not well validated and require further evaluation before use in accreditation processes.PROSPERO: registration ID CRD42022304901.
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Affiliation(s)
- Matthew W E Boal
- The Griffin Institute, Northwick Park & St Marks’ Hospital, London, UK
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
| | - Dimitrios Anastasiou
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
- Medical Physics and Biomedical Engineering, UCL, London, UK
| | - Freweini Tesfai
- The Griffin Institute, Northwick Park & St Marks’ Hospital, London, UK
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
| | - Walaa Ghamrawi
- The Griffin Institute, Northwick Park & St Marks’ Hospital, London, UK
| | - Evangelos Mazomenos
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
- Medical Physics and Biomedical Engineering, UCL, London, UK
| | - Nathan Curtis
- Department of General Surgey, Dorset County Hospital NHS Foundation Trust, Dorchester, UK
| | - Justin W Collins
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Ashwin Sridhar
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - John Kelly
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Danail Stoyanov
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
- Computer Science, UCL, London, UK
| | - Nader K Francis
- The Griffin Institute, Northwick Park & St Marks’ Hospital, London, UK
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
- Yeovil District Hospital, Somerset Foundation NHS Trust, Yeovil, Somerset, UK
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Daykan Y, Farinha R, Schraffordt SE, Mottrie A, O'Reilly BA. A cost-effective model for training in Robot-Assisted Sacrocolpopexy. Int Urogynecol J 2023; 34:3059-3062. [PMID: 37453031 DOI: 10.1007/s00192-023-05604-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/25/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The number of robotically assisted sacrocolpopexy procedures are increasing; therefore, experienced clinicians are needed. Simulation-based cadaver models are challenging in aspects of cost and availability. Therefore, we need to look at alternative and more cost-effective models. OBJECTIVE The objective of this video was to design a new surgical model for the training of robotic-assisted sacrocolpopexy, which is affordable and accessible. METHODS We used a whole chicken model to simulate the female pelvic floor. We used Medtronic's Hugo™ RAS system as the robotic console in that procedure. A vaginal cuff was prepared from the proventriculus (stomach), and a Y shaped mesh was secured to the ischium to simulate the sacrocolpopexy procedure. CONCLUSION This model is easily constructed and in our view is cost-effective. We have demonstrated a new valuable education tool that can serve as a practical simulation model to teach the sacrocolpopexy procedure and to improve trainees' skills. A larger cohort study size is essential to demonstrate the learning curve among young trainees using this simulation model.
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Affiliation(s)
- Yair Daykan
- Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland.
- Department of Obstetrics and Gynecology, Meir Medical Center, Kfar Saba, Israel, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Rui Farinha
- Department of Urology, OLV, Aalst, Belgium
- ORSI Academy, Melle, Belgium
| | | | - Alexander Mottrie
- Department of Urology, OLV, Aalst, Belgium
- ORSI Academy, Melle, Belgium
| | - Barry A O'Reilly
- Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland
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Chu TN, Wong EY, Ma R, Yang CH, Dalieh IS, Hui A, Gomez O, Cen S, Ghazi A, Miles BJ, Lau C, Davis JW, Goldenberg MG, Hung AJ. A Multi-institution Study on the Association of Virtual Reality Skills with Continence Recovery after Robot-assisted Radical Prostatectomy. Eur Urol Focus 2023; 9:1044-1051. [PMID: 37277274 PMCID: PMC10693649 DOI: 10.1016/j.euf.2023.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 04/13/2023] [Accepted: 05/23/2023] [Indexed: 06/07/2023]
Abstract
BACKGROUND Virtual reality (VR) simulators are increasingly being used for surgical skills training. It is unclear what skills are best improved via VR, translate to live surgical skills, and influence patient outcomes. OBJECTIVE To assess surgeons in VR and live surgery using a suturing assessment tool and evaluate the association between technical skills and a clinical outcome. DESIGN, SETTING, AND PARTICIPANTS This prospective five-center study enrolled participants who completed VR suturing exercises and provided live surgical video. Graders provided skill assessments using the validated End-To-End Assessment of Suturing Expertise (EASE) suturing evaluation tool. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS A hierarchical Poisson model was used to compare skill scores among cohorts and evaluate the association of scores with clinical outcomes. Spearman's method was used to assess correlation between VR and live skills. RESULTS AND LIMITATIONS Ten novices, ten surgeons with intermediate expertise (median 64 cases, interquartile range [IQR] 6-80), and 26 expert surgeons (median 850 cases, IQR 375-3000) participated in this study. Intermediate and expert surgeons were significantly more likely to have ideal scores in comparison to novices for the subskills needle hold angle, wrist rotation, and wrist rotation needle withdrawal (p < 0.01). For both intermediate and expert surgeons, there was positive correlation between VR and live skills for needle hold angle (p < 0.05). For expert surgeons, there was a positive association between ideal scores for VR needle hold angle and driving smoothness subskills and 3-mo continence recovery (p < 0.05). Limitations include the size of the intermediate surgeon sample and clinical data limited to expert surgeons. CONCLUSIONS EASE can be used in VR to identify skills to improve for trainee surgeons. Technical skills that influence postoperative outcomes may be assessable in VR. PATIENT SUMMARY This study provides insights into surgical skills that translate from virtual simulation to live surgery and that have an impact on urinary continence after robot-assisted removal of the prostate. We also highlight the usefulness of virtual reality in surgical education.
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Affiliation(s)
- Timothy N Chu
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Elyssa Y Wong
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Runzhuo Ma
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Cherine H Yang
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Istabraq S Dalieh
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Alvin Hui
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Oscar Gomez
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Steven Cen
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Ahmed Ghazi
- Department of Urology, University of Rochester, Rochester, NY, USA
| | - Brian J Miles
- Department of Urology, Houston Methodist, Houston, TX, USA
| | - Clayton Lau
- Department of Urology, City of Hope, Duarte, CA, USA
| | - John W Davis
- Department of Urology, MD Anderson Cancer Center, Houston, TX, USA
| | - Mitchell G Goldenberg
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Andrew J Hung
- Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
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Develtere D, Bravi CA, Mottrie A. Reply to Francesco Montorsi, Giorgio Gandaglia, Federico Dehò, Elio Mazzone, Armando Stabile, and Alberto Briganti's Letter to the Editor re: Dries Develtere, Giuseppe Rosiello, Pietro Piazza, et al. Early Catheter Removal on Postoperative Day 2 After Robot-assisted Radical Prostatectomy: Updated Real-life Experience with the Aalst Technique. Eur Urol Focus. In press. https://doi.org/10.1016/j.euf.2021.10.003. Eur Urol Focus 2022; 8:1862-1863. [PMID: 35315318 DOI: 10.1016/j.euf.2022.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 03/09/2022] [Indexed: 01/25/2023]
Affiliation(s)
- Dries Develtere
- Department of Urology, Onze-Lieve-Vrouwziekenhuis, Aalst, Belgium; ORSI Academy, Melle, Belgium.
| | - Carlo Andrea Bravi
- Department of Urology, Onze-Lieve-Vrouwziekenhuis, Aalst, Belgium; ORSI Academy, Melle, Belgium; Department of Urology and Division of Experimental Oncology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alexandre Mottrie
- Department of Urology, Onze-Lieve-Vrouwziekenhuis, Aalst, Belgium; ORSI Academy, Melle, Belgium
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Younes MM, Larkins K, To G, Burke G, Heriot A, Warrier S, Mohan H. What are clinically relevant performance metrics in robotic surgery? A systematic review of the literature. J Robot Surg 2022; 17:335-350. [PMID: 36190655 PMCID: PMC10076398 DOI: 10.1007/s11701-022-01457-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 09/17/2022] [Indexed: 10/10/2022]
Abstract
A crucial element of any surgical training program is the ability to provide procedure-specific, objective, and reliable measures of performance. During robotic surgery, objective clinically relevant performance metrics (CRPMs) can provide tailored contextual feedback and correlate with clinical outcomes. This review aims to define CRPMs, assess their validity in robotic surgical training and compare CRPMs to existing measures of robotic performance. A systematic search of Medline and Embase databases was conducted in May 2022 following the PRISMA guidelines. The search terms included Clinically Relevant Performance Metrics (CRPMs) OR Clinically Relevant Outcome Measures (CROMs) AND robotic surgery. The study settings, speciality, operative context, study design, metric details, and validation status were extracted and analysed. The initial search yielded 116 citations, of which 6 were included. Citation searching identified 3 additional studies, resulting in 9 studies included in this review. Metrics were defined as CRPMs, CROMs, proficiency-based performance metrics and reference-procedure metrics which were developed using a modified Delphi methodology. All metrics underwent both contents and construct validation. Two studies found a strong correlation with GEARS but none correlated their metrics with patient outcome data. CRPMs are a validated and objective approach for assessing trainee proficiency. Evaluating CRPMs with other robotic-assessment tools will facilitate a multimodal metric evaluation approach to robotic surgery training. Further studies should assess the correlation with clinical outcomes. This review highlights there is significant scope for the development and validation of CRPMs to establish proficiency-based progression curricula that can be translated from a simulation setting into clinical practice.
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Affiliation(s)
- Melissa M Younes
- The University of Melbourne, 305 Grattan Street, Parkville, VIC, Australia
| | - Kirsten Larkins
- The University of Melbourne, 305 Grattan Street, Parkville, VIC, Australia. .,Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
| | - Gloria To
- The University of Melbourne, 305 Grattan Street, Parkville, VIC, Australia
| | - Grace Burke
- International Medical Robotics Academy, North Melbourne, VIC, Australia
| | - Alexander Heriot
- The University of Melbourne, 305 Grattan Street, Parkville, VIC, Australia.,Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,International Medical Robotics Academy, North Melbourne, VIC, Australia
| | - Satish Warrier
- The University of Melbourne, 305 Grattan Street, Parkville, VIC, Australia.,Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,International Medical Robotics Academy, North Melbourne, VIC, Australia.,Monash University, Clayton, VIC, Australia
| | - Helen Mohan
- The University of Melbourne, 305 Grattan Street, Parkville, VIC, Australia.,Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Austin Health, Heidelberg, VIC, Australia
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De Groote R, Puliatti S, Amato M, Mazzone E, Rosiello G, Farinha R, Paludo A, Desender L, Van Cleynenbreugel B, Bunting BP, Mottrie A, Gallagher AG. Proficiency-based progression training for robotic surgery skills training: a randomized clinical trial. BJU Int 2022; 130:528-535. [PMID: 37382230 DOI: 10.1111/bju.15811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To determine whether proficiency-based progression (PBP) training leads to better robotic surgical performance compared to traditional training (TT), given that the value of PBP training for learning robotic surgical skills is unclear. MATERIALS AND METHODS The PROVESA trial is a multicentric, prospective, randomized and blinded clinical study comparing PBP training with TT for robotic suturing and knot-tying anastomosis skills. A total of 36 robotic surgery-naïve junior residents were recruited from 16 training sites and 12 residency training programmes. Participants were randomly allocated to metric-based PBP training or the current standard of care TT, and compared at the end of training. The primary outcome was percentage of participants reaching the predefined proficiency benchmark. Secondary outcomes were the numbers of procedure steps and errors made. RESULTS Of the group that received TT, 3/18 reached the proficiency benchmark versus 12/18 of the PBP group (i.e. the PBP group were ~10 times as likely to demonstrate proficiency [P = 0.006]). The PBP group demonstrated a 51% reduction in number of performance errors from baseline to the final assessment (18.3 vs 8.9). The TT group demonstrated a marginal improvement (15.94 vs 15.44) in errors made. CONCLUSIONS The PROVESA trial is the first prospective randomized controlled trial on basic skills training in robotic surgery. Implementation of a PBP training methodology resulted in superior surgical performance for robotic suturing and knot-tying anastomosis performance. Compared to TT, better surgical quality could be obtained by implementing PBP training for basic skills in robotic surgery.
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Affiliation(s)
- Ruben De Groote
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
| | - Stefano Puliatti
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Marco Amato
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Elio Mazzone
- Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Giuseppe Rosiello
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
- Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Rui Farinha
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
| | - Artur Paludo
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
- Urology, Clinic Hospital of Porto Alegre, Porto Alegre, Brazil
| | - Liesbeth Desender
- Department of Thoracovascular Surgery, University Hospital Ghent, Ghent, Belgium
| | | | | | - Alexandre Mottrie
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
| | - Anthony G Gallagher
- ORSI Academy, Melle, Belgium
- Faculty of Medicine, KU Leuven, Leuven, Belgium
- School of Medicine, Faculty of Life and Health Sciences, Ulster University, Coleraine, UK
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9
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Puliatti S, Amato M, Mazzone E, Rosiello G, De Groote R, Berquin C, Piazza P, Farinha R, Mottrie A, Gallagher AG. Development and Validation of the Metric-Based Assessment of a Robotic Dissection Task on an Avian Model. J Surg Res 2022; 277:224-234. [DOI: 10.1016/j.jss.2022.02.056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 02/13/2022] [Accepted: 02/23/2022] [Indexed: 01/16/2023]
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10
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Puliatti S, Amato M, Farinha R, Paludo A, Rosiello G, De Groote R, Mari A, Bianchi L, Piazza P, Van Cleynenbreugel B, Mazzone E, Migliorini F, Forte S, Rocco B, Kiely P, Mottrie A, Gallagher AG. Does quality assured eLearning provide adequate preparation for robotic surgical skills; a prospective, randomized and multi-center study. Int J Comput Assist Radiol Surg 2022; 17:457-465. [PMID: 34997525 PMCID: PMC8740863 DOI: 10.1007/s11548-021-02545-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 12/10/2021] [Indexed: 11/26/2022]
Abstract
Purpose In particular after the onset of the COVID-19 pandemic, there was a precipitous rush to implement virtual and online learning strategies in surgery and medicine. It is essential to understand whether this approach is sufficient and adequate to allow the development of robotic basic surgical skills. The main aim of the authors was to verify if the quality assured eLearning is sufficient to prepare individuals to perform a basic surgical robotic task.
Methods A prospective, randomized and multi-center study was conducted in September 2020 in the ORSI Academy, International surgical robotic training center. Forty-seven participants, with no experience but a special interest in robotic surgery, were matched and randomized into four groups who underwent a didactic preparation with different formats before carrying out a robotic suturing and anastomosis task. Didactic preparation methods ranged from a complete eLearning path to peer-reviewed published manuscripts describing the suturing, knot tying and task assessment metrics. Results The primary outcome was the percentage of trainees who demonstrated the quantitatively defined proficiency benchmark after learning to complete an assisted but unaided robotic vesico-urethral anastomosis task. The quantitatively defined benchmark was based on the objectively assessed performance (i.e., procedure steps completed, errors and critical errors) of experienced robotic surgeons for a proficiency-based progression (PBP) training course. None of the trainees in this study demonstrated the proficiency benchmarks in completing the robotic surgery task. Conclusions PBP-based e-learning methodology is an effective training method avoiding critical errors in the suturing and knotting task. Quality assured online learning is insufficient preparation for robotic suturing and knot tying anastomosis skills. Trial registration ClinicalTrials.gov Identifier: NCT04541615.
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Affiliation(s)
- Stefano Puliatti
- ORSI Academy, Melle, Belgium.
- Department of Urology, OLV, Aalst, Belgium.
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy.
- Department of Urology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
| | - Marco Amato
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Rui Farinha
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
| | - Artur Paludo
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Cardio-Nephro-Thoracic Sciences Doctorate, University of Bologna, Bologna, Italy
- Department of Urology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Giuseppe Rosiello
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
- Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy
| | - Ruben De Groote
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
| | - Andrea Mari
- Unit of Oncologic Minimally Invasive Urology and Andrology, Department of Urology, University of Florence, Careggi Hospital, Florence, Italy
| | - Lorenzo Bianchi
- Office for the Vice President for Learning and Teaching, University College Cork, Cork, Ireland
- Department of Urology, Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, Bologna, Italy
| | - Pietro Piazza
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
- Office for the Vice President for Learning and Teaching, University College Cork, Cork, Ireland
| | | | - Elio Mazzone
- Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy
| | - Filippo Migliorini
- Urology Unit, Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy
| | - Saverio Forte
- Urology and Andrology Unit II, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Bernardo Rocco
- Urology Department, ASST Santi Paolo e Carlo - Milano, Università Statale di Milano, Milan, Italy
| | - Patrick Kiely
- ORSI Academy, Melle, Belgium
- Office for the Vice President for Learning and Teaching, University College Cork, Cork, Ireland
| | - Alexandre Mottrie
- ORSI Academy, Melle, Belgium
- Department of Urology, OLV, Aalst, Belgium
| | - Anthony G Gallagher
- ORSI Academy, Melle, Belgium
- Faculty of Life and Health Sciences, Ulster University, Derry, Northern Ireland, UK
- Faculty of Medicine, KU Leuven, Leuven, Belgium
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11
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Farinha R, Puliatti S, Mazzone E, Amato M, Rosiello G, Yadav S, De Groote R, Piazza P, Bravi CA, Koukourikis P, Rha KH, Cacciamani G, Micali S, Wiklund P, Rocco B, Mottrie A. Potential Contenders for the Leadership in Robotic Surgery. J Endourol 2021; 36:317-326. [PMID: 34579555 DOI: 10.1089/end.2021.0321] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Purpose: To summarize the scientific published literature on new robotic surgical platforms with potential use in the urological field, reviewing their evolution from presentation until the present day. Our goal is to describe the current characteristics and possible prospects for these platforms. Materials and Methods: A nonsystematic search of the PubMed, Cochrane library's Central, EMBASE, MEDLINE, and Scopus databases was conducted to identify scientific literature about new robotic platforms other than the Da Vinci® system, reviewing their evolution from inception until December 2020. Only English language publications were included. The following keywords were used: "new robotic platforms," "Revo-I robot," "Versius robot," and "Senhance robot." All relevant English-language original studies were analyzed by one author (R.F.) and summarized after discussion with an independent third party (E.M., S.Y., S.P., and M.A.). Results: Since 1995, Intuitive Surgical, Inc., with the Da Vinci surgical system, is the leading company in the robotic surgical market. However, Revo-I®, Versius®, and Senhance® are the other three platforms that recently appeared on the market with available articles published in peer-reviewed journals. Among these three new surgical systems, the Senhance robot has the most substantial scientific proof of its capacity to perform minimally invasive urological surgery and as such, it might become a contender of the Da Vinci robot. Conclusions: The Da Vinci surgical platform has allowed the diffusion of robotic surgery worldwide and showed the different advantages of this type of technique. However, its use has some drawbacks, especially its price. New robotic platforms characterized by unique features are under development. Of note, they might be less expensive compared with the Da Vinci robotic system. We found that these new platforms are still at the beginning of their technical and scientific validation. However, the Senhance robot is in a more advanced stage, with clinical studies supporting its full implementation.
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Affiliation(s)
- Rui Farinha
- ORSI Academy, Melle, Belgium.,Department of Urology, OLV, Aalst, Belgium.,Urology Department, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal.,Urology Department, Lusíadas Hospital, Lisbon, Portugal
| | - Stefano Puliatti
- ORSI Academy, Melle, Belgium.,Department of Urology, OLV, Aalst, Belgium.,Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Elio Mazzone
- Unit of Urology, Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.,Department of Urology, Vita-Salute San Raffaele University, Milan, Italy
| | - Marco Amato
- ORSI Academy, Melle, Belgium.,Department of Urology, OLV, Aalst, Belgium.,Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Giuseppe Rosiello
- Unit of Urology, Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.,Department of Urology, Vita-Salute San Raffaele University, Milan, Italy
| | - Siddharth Yadav
- Department of Urology & Renal Transplant, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India
| | - Ruben De Groote
- ORSI Academy, Melle, Belgium.,Department of Urology, OLV, Aalst, Belgium
| | - Pietro Piazza
- ORSI Academy, Melle, Belgium.,Department of Urology, OLV, Aalst, Belgium.,Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Carlo Andrea Bravi
- ORSI Academy, Melle, Belgium.,Department of Urology, OLV, Aalst, Belgium.,Unit of Urology, Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.,Department of Urology, Vita-Salute San Raffaele University, Milan, Italy
| | - Periklis Koukourikis
- Department of Urology and Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea.,Second Department of Urology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Koon Ho Rha
- Department of Urology and Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Giovanni Cacciamani
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, University of Southern California, Los Angeles, California, USA
| | - Salvatore Micali
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Peter Wiklund
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Bernardo Rocco
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Alexandre Mottrie
- ORSI Academy, Melle, Belgium.,Department of Urology, OLV, Aalst, Belgium
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Development and validation of the metric-based assessment of a robotic vessel dissection, vessel loop positioning, clip applying and bipolar coagulation task on an avian model. J Robot Surg 2021; 16:677-685. [PMID: 34383208 DOI: 10.1007/s11701-021-01293-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 07/31/2021] [Indexed: 10/20/2022]
Abstract
The evolution of robotic technology and its diffusion does not seem to have been adequately accompanied by the development and implementation of surgeon training programs that ensure skilled and safe device use at the start of the learning curve. The objective of the study is to develop and validate performance metrics for vessel dissection, vessel loop positioning, clip applying and bipolar coagulation using an avian model. Three robotic surgeons and a behavioral scientist characterized the performance metrics of the task according to the proficiency-based progression methodology. Fourteen experienced robotic surgeons from different European countries participated in a modified online Delphi consensus. Eight experienced surgeons and eight novices performed the robotic task twice. In the Delphi meeting, 100% consensus was reached on the performance metrics. Novice surgeons took 26 min to complete the entire task on trial 1 and 20 min on trial 2. Experts took 10.1 min and 9.5 min. On average the Expert Group completed the task 137% faster than the Novice Group. The amount of time to reach the vessel part of the task was also calculated. Novice surgeons took 26 min on trial 1 and 20 min on trial 2. Experts took 5.5 min and 4.8 min. On average the experts reached the vessel 200% faster than the novices. The Expert Group made 155% fewer performance errors than the Novice Group. The mean IRR of video-recorded performance assessments for all metrics was 0.96 (95% confidence intervals (CI) lower = 0.94-upper = 0.98). We report the development and validation for a standard and replicable basic robotic vessel dissection, vessel loop positioning, clip applying and bipolar coagulation task on an avian model. The development of objective performance metrics, based on a transparent and fair methodology (i.e., PBP), is the first fundamental step toward quality assured training. This task developed on the avian model proved to have good results in the validation study.
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13
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Mottrie A, Mazzone E, Wiklund P, Graefen M, Collins JW, De Groote R, Dell’Oglio P, Puliatti S, Gallagher AG. Objective assessment of intraoperative skills for robot-assisted radical prostatectomy (RARP): results from the ERUS Scientific and Educational Working Groups Metrics Initiative. BJU Int 2021; 128:103-111. [PMID: 33251703 PMCID: PMC8359192 DOI: 10.1111/bju.15311] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To develop and seek consensus from procedure experts on the metrics that best characterise a reference robot-assisted radical prostatectomy (RARP) and determine if the metrics distinguished between the objectively assessed RARP performance of experienced and novice urologists, as identifying objective performance metrics for surgical training in robotic surgery is imperative for patient safety. MATERIALS AND METHODS In Study 1, the metrics, i.e. 12 phases of the procedure, 81 steps, 245 errors and 110 critical errors for a reference RARP were developed and then presented to an international Delphi panel of 19 experienced urologists. In Study 2, 12 very experienced surgeons (VES) who had performed >500 RARPs and 12 novice urology surgeons performed a RARP, which was video recorded and assessed by two experienced urologists blinded as to subject and group. Percentage agreement between experienced urologists for the Delphi meeting and Mann-Whitney U- and Kruskal-Wallis tests were used for construct validation of the newly identified RARP metrics. RESULTS At the Delphi panel, consensus was reached on the appropriateness of the metrics for a reference RARP. In Study 2, the results showed that the VES performed ~4% more procedure steps and made 72% fewer procedure errors than the novices (P = 0.027). Phases VIIa and VIIb (i.e. neurovascular bundle dissection) best discriminated between the VES and novices. LIMITATIONS VES whose performance was in the bottom half of their group demonstrated considerable error variability and made five-times as many errors as the other half of the group (P = 0.006). CONCLUSIONS The international Delphi panel reached high-level consensus on the RARP metrics that reliably distinguished between the objectively scored procedure performance of VES and novices. Reliable and valid performance metrics of RARP are imperative for effective and quality assured surgical training.
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Affiliation(s)
- Alexandre Mottrie
- Orsi AcademyMelleBelgium
- Department of UrologyOnze Lieve Vrouw Hospital (OLV)AalstBelgium
| | - Elio Mazzone
- Orsi AcademyMelleBelgium
- Department of UrologyOnze Lieve Vrouw Hospital (OLV)AalstBelgium
- Division of Oncology/Unit of UrologyURIL’Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San RaffaeleMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
| | - Peter Wiklund
- Department of UrologyKarolinska InstitutetStockholmSweden
- Department of UrologyIcahn School of Medicine at Mount Sinai Health SystemNew YorkNYUSA
| | - Markus Graefen
- Martini‐Klinik Prostate Cancer CenterUniversity Hospital Hamburg‐EppendorfHamburgGermany
| | - Justin W. Collins
- Orsi AcademyMelleBelgium
- Department of Uro‐oncologyUniversity College London Hospital (UCLH)LondonUK
| | - Ruben De Groote
- Orsi AcademyMelleBelgium
- Department of UrologyOnze Lieve Vrouw Hospital (OLV)AalstBelgium
| | - Paolo Dell’Oglio
- Orsi AcademyMelleBelgium
- Department of UrologyASST Grande Ospedale Metropolitano NiguardaMilanItaly
| | - Stefano Puliatti
- Orsi AcademyMelleBelgium
- Department of UrologyOnze Lieve Vrouw Hospital (OLV)AalstBelgium
- Department of UrologyUniversity of Modena and Reggio EmiliaModenaItaly
| | - Anthony G. Gallagher
- Orsi AcademyMelleBelgium
- Faculty of Life and Health SciencesUlster UniversityNorthern IrelandUK
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