MP23-02 DEVELOPMENT AND CONTENT VALIDATION OF A SAFETY CHECKLIST FOR ROBOT-ASSISTED RADICAL PROSTATECTOMY

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You have accessJournal of UrologyTechnology & Instruments: Surgical Education & Skills Assessment II1 Apr 2015MP23-02 DEVELOPMENT AND CONTENT VALIDATION OF A SAFETY CHECKLIST FOR ROBOT-ASSISTED RADICAL PROSTATECTOMY Catherine Lovegrove, Giacomo Novara, Khurshid Guru, Alex Mottrie, Ben Challacombe, Johar Raza, Henk Van der Poel, James Peabody, Rick Popert, Prokar Dasgupta, and Kamran Ahmed Catherine LovegroveCatherine Lovegrove More articles by this author , Giacomo NovaraGiacomo Novara More articles by this author , Khurshid GuruKhurshid Guru More articles by this author , Alex MottrieAlex Mottrie More articles by this author , Ben ChallacombeBen Challacombe More articles by this author , Johar RazaJohar Raza More articles by this author , Henk Van der PoelHenk Van der Poel More articles by this author , James PeabodyJames Peabody More articles by this author , Rick PopertRick Popert More articles by this author , Prokar DasguptaProkar Dasgupta More articles by this author , and Kamran AhmedKamran Ahmed More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.1245AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Novel technologies, such as robot-assisted surgery, require up-to-date technical and non-technical skills from surgeons to prevent adverse effects. Education and assessment must adapt to equip surgeons with these skills, ensuring safe practice. This study aims to develop and validate a checklist via Healthcare Failure Mode and Effect Analysis (HFMEA) for training and assessing surgeons in robot assisted radical prostatectomy (RARP). METHODS This is a multi-institutional, observational, prospective study. HFMEA methodology identified the high-risk steps of RARP. HFMEA is a specific branch of risk assessment that aims to reduce adverse errors causing effects by adopting a pre-emptive approach. After assembling a multi-disciplinary team and observing surgeries, a procedural map was created which was further analysed by an expert focus group using HFMEA scoring system. Steps with Hazard scores above the defined threshold were included in the checklist that was then further distributed to experts in the field for content validation. RESULTS 5 surgeons were observed for 42 hours to create a diagrammatic representation of RARP. In collaboration with an international focus group of 3 expert surgeons, consensus on the definition of each step was reached. HFMEA was undertaken at a further focus-group meeting with 4 expert surgeons. 84 failure modes were identified and associated with 46 potential causes with a “Hazard score” ≥8. After content validation with 4 experts, a 3-stage checklist was produced including 17 processes and 40 sub-processes (Figure 1). This encompassed “Preparation of the Operative Field” (4 processes, 6 sub-processes), “Dissection of the Bladder and Prostate” (9 processes, 24 sub-processes) and “Anastomosis and Closure” (4 processes, 10 sub-processes). CONCLUSIONS HFMEA identified hazardous steps specific to RARP and content validation produced a checklist. This checklist can be used in training and assessment of robotic surgeons in urology. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e267 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Catherine Lovegrove More articles by this author Giacomo Novara More articles by this author Khurshid Guru More articles by this author Alex Mottrie More articles by this author Ben Challacombe More articles by this author Johar Raza More articles by this author Henk Van der Poel More articles by this author James Peabody More articles by this author Rick Popert More articles by this author Prokar Dasgupta More articles by this author Kamran Ahmed More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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