title: [Face and content validation of the virtual reality transurethral prostatic resection simulator].
abstract: OBJECTIVE
  To evaluate the face and content validation of the virtual reality transurethral resection of the prostate simulator (TURPSim(TM)).
  
  
  METHODS
  The 60 urology doctor aged 26 - 50 years old all over the country were enrolled for virtual reality training of TURP from September 2010 to June 2011. Participants classified as experts (more than 50 procedures performed) and novices (50 or fewer procedures performed) performed TURPs on TURPSim(TM) involving resection of 25 - 80 g prostate. They completed questionnaires regarding utility for residency training, realism and overall score of the TURPSim(TM). Performances of two groups were evaluated after 2-day training.
  
  
  RESULTS
  were recorded and analyzed.
  
  
  RESULTS
  Mean utility for residency training, realism and overall score were (8.8 ± 1.1) and (8.5 ± 1.4), (8.0 ± 1.2) and (8.4 ± 1.1), (8.7 ± 0.9) and (8.6 ± 0.8) in experts and novices respectively. There was no significant difference between two groups (P > 0.05). Spearman's correlation coefficients analysis showed an significant positive correlation between utility for residency training and realism (r = 0.625, P = 0.000), utility for residency training and overall score (r = 0.691, P = 0.000) in experts, utility for residency training and realism (r = 0.702, P = 0.000), utility for residency training and overall score (r = 0.664, P = 0.001) in novices. Prostate resection rate (87.3% ± 7.7%), bleeding control rate (94.4% ± 6.6%) and safety (95.2% ± 5.5%) in novices increased after training (t = -3.689, -2.274, -2.507, all P < 0.05).
  
  
  CONCLUSIONS
  The face and content validation of transurethral resection of the prostate simulator is good, virtual reality training of TURP may improve the skills necessary to perform TURP. Transurethral resection of the prostate simulator can be used to train urology residents.
authors.affiliation: Peking University WUJIEPING Urology Center, Peking University Shougang Hospital, Beijing 100144, China.
authors.forename: Guo-feng
authors.initials: GF
authors.lastname: Sun
authors.forename: Yi
authors.initials: Y
authors.lastname: Zhang
authors.forename: Cheng-fan
authors.initials: CF
authors.lastname: Yu
authors.forename: Jun
authors.initials: J
authors.lastname: Meng
authors.forename: Gang
authors.initials: G
authors.lastname: Wang
authors.forename: Yan-qun
authors.initials: YQ
authors.lastname: Na
mesh_terms: D000328:Adult; D003198:Computer Simulation; D006801:Humans; D008297:Male; D008875:Middle Aged; D011795:Surveys and Questionnaires; D020728:Transurethral Resection of Prostate / Q000193:education / Q000379:methods*; D014572:Urology / Q000193:education* / Q000379:methods