Rikke Groth Olsen, Lars Konge, Khalilullah Hayatzaki, Mike Allan Mortensen, Andreas Røder, Flemming Bjerrum
{"title":"医科学生无法评估机器人外科医生的根治性前列腺切除术。","authors":"Rikke Groth Olsen, Lars Konge, Khalilullah Hayatzaki, Mike Allan Mortensen, Andreas Røder, Flemming Bjerrum","doi":"10.1097/SIH.0000000000000733","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Medical students have previously been shown to be just as effective for video rating as experts. We want to compare medical students to experienced surgeons as video assessors of simulated robot-assisted radical prostatectomy (RARP) performance.</p><p><strong>Materials and methods: </strong>Video recordings of three RARP modules on the RobotiX (formerly Simbionix) simulator from a previous study were used. Five novice surgeons, five experienced robotic surgeons, and five experienced robotic surgeons in RARP performed a total of 45 video-recorded procedures. The videos were assessed with the modified Global Evaluative Assessment of Robotic Skills tool as both full-length and an edited edition that only included the first 5 minutes of the procedure.</p><p><strong>Results: </strong>Fifty medical students and two experienced RARP surgeons (ES) performed a total of 680 video ratings of full-length videos and 5-minute videos (2-9 ratings per video). Medical students and ES showed poor agreement for both full-length videos and 5-minute videos (0.29 and -0.13, respectively). Medical students could not discriminate between the skill level of the surgeons in either full-length videos or 5-minute videos ( P = 0.053-0.36 and P = 0.21-0.82), whereas ES could discriminate between novice surgeons and experienced surgeons (full-length, P < 0.001, and 5 minutes, P = 0.007) and intermediate and experienced surgeons (full-length, P = 0.001, and 5 minutes, P = 0.01) in both full-length videos and 5-minute videos.</p><p><strong>Conclusion: </strong>We found that medical students cannot be used to assess RARP because they showed poor agreement with the ES rating for both full-length videos and 5-minute videos. Medical students could not discriminate between surgical skill levels.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":"213-219"},"PeriodicalIF":1.7000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Medical Students Cannot Assess Robotic Surgeons Performing Radical Prostatectomy.\",\"authors\":\"Rikke Groth Olsen, Lars Konge, Khalilullah Hayatzaki, Mike Allan Mortensen, Andreas Røder, Flemming Bjerrum\",\"doi\":\"10.1097/SIH.0000000000000733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Medical students have previously been shown to be just as effective for video rating as experts. 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Medical students could not discriminate between the skill level of the surgeons in either full-length videos or 5-minute videos ( P = 0.053-0.36 and P = 0.21-0.82), whereas ES could discriminate between novice surgeons and experienced surgeons (full-length, P < 0.001, and 5 minutes, P = 0.007) and intermediate and experienced surgeons (full-length, P = 0.001, and 5 minutes, P = 0.01) in both full-length videos and 5-minute videos.</p><p><strong>Conclusion: </strong>We found that medical students cannot be used to assess RARP because they showed poor agreement with the ES rating for both full-length videos and 5-minute videos. 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引用次数: 0
摘要
简介以前的研究表明,医科学生在视频评分方面与专家一样有效。我们希望将医科学生与经验丰富的外科医生作为模拟机器人辅助前列腺癌根治术(RARP)的视频评估者进行比较:我们使用了之前研究中的 RobotiX(前身为 Simbionix)模拟器上三个 RARP 模块的视频记录。五名新手外科医生、五名经验丰富的机器人外科医生和五名经验丰富的RARP机器人外科医生共进行了45个录像手术。这些视频采用改良的机器人技能全球评估工具进行评估,包括完整版和只包含手术前5分钟的编辑版:50名医科学生和两名经验丰富的RARP外科医生(ES)对全长视频和5分钟视频共进行了680次评分(每段视频2-9次评分)。医科学生和 ES 对全长视频和 5 分钟视频的评分一致性较差(分别为 0.29 和 -0.13)。医学生无法区分全长视频或 5 分钟视频中外科医生的技术水平(P = 0.053-0.36 和 P = 0.21-0.82),而 ES 可以区分全长视频和 5 分钟视频中的新手外科医生和经验丰富的外科医生(全长视频,P < 0.001,5 分钟视频,P = 0.007)以及中级外科医生和经验丰富的外科医生(全长视频,P = 0.001,5 分钟视频,P = 0.01):我们发现,医科学生不能用来评估 RARP,因为他们与 ES 评分在全长视频和 5 分钟视频中的一致性都很差。医科学生无法区分不同的手术技能水平。
Medical Students Cannot Assess Robotic Surgeons Performing Radical Prostatectomy.
Introduction: Medical students have previously been shown to be just as effective for video rating as experts. We want to compare medical students to experienced surgeons as video assessors of simulated robot-assisted radical prostatectomy (RARP) performance.
Materials and methods: Video recordings of three RARP modules on the RobotiX (formerly Simbionix) simulator from a previous study were used. Five novice surgeons, five experienced robotic surgeons, and five experienced robotic surgeons in RARP performed a total of 45 video-recorded procedures. The videos were assessed with the modified Global Evaluative Assessment of Robotic Skills tool as both full-length and an edited edition that only included the first 5 minutes of the procedure.
Results: Fifty medical students and two experienced RARP surgeons (ES) performed a total of 680 video ratings of full-length videos and 5-minute videos (2-9 ratings per video). Medical students and ES showed poor agreement for both full-length videos and 5-minute videos (0.29 and -0.13, respectively). Medical students could not discriminate between the skill level of the surgeons in either full-length videos or 5-minute videos ( P = 0.053-0.36 and P = 0.21-0.82), whereas ES could discriminate between novice surgeons and experienced surgeons (full-length, P < 0.001, and 5 minutes, P = 0.007) and intermediate and experienced surgeons (full-length, P = 0.001, and 5 minutes, P = 0.01) in both full-length videos and 5-minute videos.
Conclusion: We found that medical students cannot be used to assess RARP because they showed poor agreement with the ES rating for both full-length videos and 5-minute videos. Medical students could not discriminate between surgical skill levels.
期刊介绍:
Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare is a multidisciplinary publication encompassing all areas of applications and research in healthcare simulation technology. The journal is relevant to a broad range of clinical and biomedical specialties, and publishes original basic, clinical, and translational research on these topics and more: Safety and quality-oriented training programs; Development of educational and competency assessment standards; Reports of experience in the use of simulation technology; Virtual reality; Epidemiologic modeling; Molecular, pharmacologic, and disease modeling.