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Laverty RB, Khan MT, Patnaik R, Lee CS, Leonardo CD, Krell RW, Stull MC. Intentional enterotomies: validation of a novel robotic surgery training exercise. J Robot Surg 2023; 17:2109-2115. [PMID: 37219784 DOI: 10.1007/s11701-023-01625-8] [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: 03/01/2023] [Accepted: 05/16/2023] [Indexed: 05/24/2023]
Abstract
While laparoscopic simulation-based training is a well-established component of general surgery training, no such requirement or standardized curriculum exists for robotic surgery. Furthermore, there is a lack of high-fidelity electrocautery simulation training exercises in the literature. Using Messick's validity framework, we sought to determine the content, response process, internal content and construct validity of a novel inanimate tissue model that utilizes electrocautery for potential incorporation in such curricula. A multi-institutional, prospective study involving medical students (MS) and general surgery residents (PGY1-3) was conducted. Participants performed an exercise using a biotissue bowel model on the da Vinci Xi robotic console during which they created an enterotomy using electrocautery, followed by approximation with interrupted sutures. Participant performance was recorded and then scored by crowd-sourced assessors of technical skill, along with three of the authors. Construct validity was determined via difference in Global Evaluative Assessment of Robotic Skills (GEARS) score, time to completion, and total number of errors between the two cohorts. Upon completion of the exercise, participants were surveyed on their perception of the exercise and its impact on their robotic training to determine content validity. 31 participants were enrolled and separated into two cohorts: MS + PGY1 vs. PGY2-3. Time spent on the robotic trainer (0.8 vs. 8.13 h, p = 0.002), number of bedside robotic assists (5.7 vs. 14.8, p < 0.001), and number of robotic cases as primary surgeon (0.3 vs. 13.1, p < 0.001) were statistically significant between the two groups. Differences in GEARS scores (18.5 vs. 19.9, p = 0.001), time to completion (26.1 vs. 14.4 min, p < 0.001), and total errors (21.5 vs. 11.9, p = 0.018) between the groups were statistically significant as well. Of the 23 participants that completed the post-exercise survey, 87% and 91.3% reported improvement in robotic surgical ability and confidence, respectively. On a 10-point Likert scale, respondents rated the realism of the exercise 7.5, educational benefit 9.1, and effectiveness in teaching robotic skills 8.7. Controlling for the upfront investment of certain training materials, each exercise iteration cost ~ $30. This study confirmed the content, response process, internal structure and construct validity of a novel, high-fidelity and cost-effective inanimate tissue exercise which successfully incorporates electrocautery. Consideration should be given to its addition to robotic surgery training programs.
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Affiliation(s)
- Robert B Laverty
- Department of Surgery, Brooke Army Medical Center, San Antonio, TX, USA
| | - Mustafa T Khan
- Department of General Surgery, Long School of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA.
| | - Ronit Patnaik
- Department of General Surgery, Long School of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA
| | - Christina S Lee
- Department of Surgery, Brooke Army Medical Center, San Antonio, TX, USA
| | - Cassandra D Leonardo
- Department of General Surgery, Long School of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA
| | - Robert W Krell
- Department of Surgery, Brooke Army Medical Center, San Antonio, TX, USA
| | - Mamie C Stull
- Department of Surgery, Brooke Army Medical Center, San Antonio, TX, USA
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Wile RK, Brian R, Rodriguez N, Chern H, Cruff J, O'Sullivan PS. Home practice for robotic surgery: a randomized controlled trial of a low-cost simulation model. J Robot Surg 2023; 17:2527-2536. [PMID: 37531043 PMCID: PMC10492874 DOI: 10.1007/s11701-023-01688-7] [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: 06/20/2023] [Accepted: 07/23/2023] [Indexed: 08/03/2023]
Abstract
Pre-operative simulated practice allows trainees to learn robotic surgery outside the operating room without risking patient safety. While simulation practice has shown efficacy, simulators are expensive and frequently inaccessible. Cruff (J Surg Educ 78(2): 379-381, 2021) described a low-cost simulation model to learn hand movements for robotic surgery. Our study evaluates whether practice with low-cost home simulation models can improve trainee performance on robotic surgery simulators. Home simulation kits were adapted from those described by Cruff (J Surg Educ 78(2): 379-381, 2021). Hand controllers were modified to mimic the master tool manipulators (MTMs) on the da Vinci Skills Simulator (dVSS). Medical students completed two da Vinci exercises: Sea Spikes 1 (SS1) and Big Dipper Needle Driving (BDND). They were subsequently assigned to either receive a home simulation kit or not. Students returned two weeks later and repeated SS1 and BDND. Overall score, economy of motion, time to completion, and penalty subtotal were collected, and analyses of covariance were performed. Semi-structured interviews assessed student perceptions of the robotic simulation experience. Thirty-three medical students entered the study. Twenty-nine completed both sessions. The difference in score improvement between the experimental and control groups was not significant. In interviews, students provided suggestions to increase fidelity and usefulness of low-cost robotic home simulation. Low-cost home simulation models did not improve student performance on dVSS after two weeks of at-home practice. Interview data highlighted areas to focus future simulation efforts. Ongoing work is necessary to develop low-cost solutions to facilitate practice for robotic surgery and foster more inclusive and accessible surgical education.
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Affiliation(s)
- Rachel K Wile
- School of Medicine, University of California, San Francisco, 533 Parnassus Ave, San Francisco, CA, 94143, USA.
| | - Riley Brian
- Department of Surgery, University of California, San Francisco, 513 Parnassus Avenue, S-321, San Francisco, CA, 94143, USA
| | - Natalie Rodriguez
- Department of Surgery, University of California, San Francisco, 513 Parnassus Avenue, S-321, San Francisco, CA, 94143, USA
| | - Hueylan Chern
- Department of Surgery, University of California, San Francisco, 513 Parnassus Avenue, S-321, San Francisco, CA, 94143, USA
| | - Jason Cruff
- Department of Obstetrics/Gynecology-Female Pelvic Medicine & Reconstructive Surgery, Marshfield Clinic Health System, Marshfield, WI, 54449, USA
| | - Patricia S O'Sullivan
- Department of Surgery, University of California, San Francisco, 513 Parnassus Avenue, S-321, San Francisco, CA, 94143, USA
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Khan MTA, Patnaik R, Lee CS, Willson CM, Demario VK, Krell RW, Laverty RB. Systematic review of academic robotic surgery curricula. J Robot Surg 2022; 17:719-743. [DOI: 10.1007/s11701-022-01500-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2022]
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Oh T, Patnaik R, Buckner J, Krokar L, Ibrahim A, Lovely RS, Khan MT. Simulation in Perioperative Liver Transplant Anesthesia: A Systematic Review. Cureus 2022; 14:e25602. [PMID: 35795521 PMCID: PMC9250322 DOI: 10.7759/cureus.25602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/02/2022] [Indexed: 11/24/2022] Open
Abstract
Due to the complexity of liver transplant patients and the variability in exposure to transplantation by anesthesia trainees, simulation is often required as an adjunct to clinical experience. This systematic review identifies current simulation models in the literature that pertain to perioperative liver transplant anesthesia. Data were collected by performing an electronic search of the PubMed and Scopus databases for articles describing simulation in transplant anesthesia. Abstracts were screened using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. Three reviewers analyzed 16 abstracts found in the search and agreed upon articles that met the inclusion criteria for the systematic review. A total of five publications met the inclusion criteria; they could be grouped as cognitive skills and technical skills simulators. Cognitive skills simulators utilized high-fidelity mannequins and animal models combined with traditional educational material to enhance pattern recognition of critical complications during liver transplantation. One manuscript focused on a technical skills acquisition by utilizing transesophageal echocardiography (TEE) to identify intraoperative pathologies. There is a heterogeneity in the exposure to liver transplant care during anesthesia training. Simulation provides low-stakes exposure to the high-stakes skills required in the operating room. Hence, it can be used as an adjunct to improve both cognitive and technical skill acquisition for perioperative transplant anesthesia. The goal of these simulation programs is to improve patient outcomes and produce more capable anesthesiologists.
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