Research output: Contribution to journal › Article › peer-review
N Raison, Kamran Ahmed, Takashige Abe, O Brunckhorst, G Novara, Nicolò Maria Buffi, C McIlhenny, H Van der Poel, M Van Hemelrijck, Andrea Gavazzi, P Dasgupta
Original language | English |
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Pages (from-to) | 1075-1081 |
Journal | BJU International |
Volume | 122 |
Issue number | 6 |
Early online date | 12 Jun 2018 |
DOIs | |
Accepted/In press | 23 Apr 2018 |
E-pub ahead of print | 12 Jun 2018 |
Published | 1 Dec 2018 |
Randomised Controlled Trial into Mental Training in Robotic Surgery BJUI Manuscript
Randomised_Controlled_Trial_into_Mental_Training_in_Robotic_Surgery_BJUI_Manuscript.docx, 73.6 KB, application/vnd.openxmlformats-officedocument.wordprocessingml.document
Uploaded date:21 May 2018
Version:Submitted manuscript
Cognitive training for technical_RAISON_Publishedonline12June2018_GREEN AAM
Cognitive_training_for_technical_RAISON_Publishedonline12June2018_GREEN_AAM.pdf, 233 KB, application/pdf
Uploaded date:17 Aug 2018
Version:Accepted author manuscript
OBJECTIVES: To investigate the effectiveness of motor imagery (MI) for technical and non-technical skills (NTS) training in minimally invasive surgery.
MATERIALS AND METHODS: A single blind, parallel group randomised controlled trial was conducted at the Vattikuti Institute of Robotic Surgery, King's College London. Novice surgeons were recruited by open invitation in 2015. Following basic robotic skills training, participants underwent simple randomisation to either MI training or standard training. All participants completed a robotic urethrovesical anastomosis task within a simulated operating room. In addition to the technical task, participants were required to manage three scripted NTS scenarios. Assessment was performed by 5 blinded expert surgeons and a NTS expert using validated tools for evaluating technical skills (Global Evaluative Assessment of Robotic Skills (GEARS)) and NTS (Non-Technical Skills for Surgeons (NOTSS)). Quality of MI was assessed using a revised Movement Imagery Questionnaire (MIQ).
RESULTS: 33 participants underwent MI training and 29 underwent standard training. Interrater reliability was high, Krippendorff's α = 0.85. Following MI training, mean GEARS score was significantly higher than after standard training (13.1 ± 3.25 vs 11.4 ± 2.97, p = 0.03). There was no difference in mean NOTSS scores (25.8 vs 26.4, p = 0.77). MI training was successful with significantly higher imagery scores than standard training (mean MIQ score 5.1 vs 4.5, p=0.04).
CONCLUSIONS: MI is an effective training tool for improving technical skill in MIS even in novice participants. No beneficial effect for NTS was found. This article is protected by copyright. All rights reserved.
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