Examining validity evidence for a simulation-based assessment tool for basic robotic surgical skills
| Autor: | Claus Høgdall, Kristin Røssaak, Maria Cecilie Havemann, Torur Dalsgaard, Berit Jul Mosgaard, Flemming Bjerrum, Jette Led Sørensen, Steffen Brisling |
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| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Educational measurement 030232 urology & nephrology Health Informatics 03 medical and health sciences Patient safety 0302 clinical medicine Robotic Surgical Procedures Surgical competency Surgical skills Humans Medicine Robotic surgery Simulation Training Simulation based Surgeons Education Medical business.industry Virtual Reality Test (assessment) 030220 oncology & carcinogenesis Physical therapy Female Surgery Clinical Competence Educational Measurement Patient Safety business |
| Zdroj: | Journal of Robotic Surgery. 13:99-106 |
| ISSN: | 1863-2491 1863-2483 |
| DOI: | 10.1007/s11701-018-0811-8 |
| Popis: | Increasing focus on patient safety makes it important to ensure surgical competency among surgeons before operating on patients. The objective was to gather validity evidence for a virtual-reality simulator test for robotic surgical skills and evaluate its potential as a training tool. Surgeons with varying experience in robotic surgery were recruited: novices (zero procedures), intermediates (1-50), experienced (> 50). Five experienced surgeons rated five exercises on the da Vinci Skills Simulator. Participants were tested using the five exercises. Participants were invited back 3 times and completed a total of 10 attempts per exercise. The outcome was the average simulator performance score for the 5 exercises. 32 participants from 5 surgical specialties were included. 38 participants completed all 4 sessions. A moderate correlation between the average total score and robotic experience was identified for the first attempt (Spearman r = 0.58; p = 0.0004). A difference in average total score was observed between novices and intermediates [median score 61% (IQR 52-66) vs. 83% (IQR 75-91), adjusted p |
| Databáze: | OpenAIRE |
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