Karina Karlsen, Carina Nygård, Lisbeth Gaustad Johansen, Edith Roth Gjevjon
In situ simulation training strengthened bachelor of nursing students' experienced learning and development process- a qualitative study
BMC nursing
new robotassisted surgery platforms developed required proficiencybased simulation training available scoring methodologies performance feedback trainees currently consistent across robotic simulator platforms also virtually prior publications vr simulation passing benchmarks established paper compares methods evaluated determine proficiencybased scoring thresholds aka benchmarks new medtronic hugo ras robotic simulator nine experienced robotic surgeons multiple disciplines performed 49 skills exercises 5 times data analyzed 3 different ways 1 include data collected 2 exclude first sessions 3 exclude outliers eliminating first session discounts becoming familiar exercise discounting outliers allows removal potentially erroneous data may due technical issues unexpected distractions etc outliers identified using common statistical technique involving interquartile range data using method mean standard deviations calculated benchmark set value 1 standard deviation mean comparison including data outliers excluded fewer data points removed excluding first sessions metric benchmarks made difficult average 11 first sessions excluded metric benchmarks made easier average 2 comparison benchmarks calculated using data points excluding outliers resulted biggest change making benchmarks challenging determined method provided best representation data benchmarks validated future clinical training studies