Crowd-Sourced Assessment of Surgical Skills of Urology Resident Applicants: Four-Year Experience.
J Surg Educ
; 78(6): 2030-2037, 2021.
Article
em En
| MEDLINE
| ID: mdl-34147416
OBJECTIVE: To determine a) if surgical skills among urology resident applicants could be reliably assessed via crowdsourcing and b) to what extent surgical skills testing impacts resident selection. DESIGN: Interviewees completed the following surgical skills tasks during their interview day: open knot tying (OKT), laparoscopic peg transfer (LPT), and robotic suturing (RS). Urology faculty and crowd-workers evaluated each applicant's video-recorded performance using validated scoring and were assessed for agreement using Cronbach's alpha. Applicants' USMLE scores, interview scores, and Jefferson Scale of Physician Empathy (JSPE-S) scores were assessed for correlation with skills testing scores and match rank. Additionally, a survey was distributed to interviewees assessing match outcomes. SETTING: University of California Irvine Department of Urology, Surgical Skills Laboratory PARTICIPANTS: All 94 urology residency interviewees at the University of California Irvine Department of Urology from 2015-2018 were invited to complete the three surgical skills tasks on their interview day. RESULTS: Survey responses were received from all 94 interviewees (100%). Crowd and expert agreement was good (α=0.88), fair (α=0.67), and poor (α=0.32) for LPT, RS, and OKT scores, respectively. The skills testing scores did not correlate with match rank, USMLE score, or JSPE-S score. On multivariate analysis, only interview score (r= -0.723; p<0.001) and faculty LPT score (r=-0.262; p=0.001) were significant predictors of match rank. Interviewees who reported matching into a top 3 residency choice had significantly higher faculty LPT scores than those who did not (11.9 vs. 9.7, p=0.03). CONCLUSIONS: Surgical skills overall did not significantly impact match rank. Expert assessment of laparoscopic peg transfer skills and interview performance among urology resident applicants correlated with match rank.
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Base de dados:
MEDLINE
Assunto principal:
Urologia
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Laparoscopia
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Crowdsourcing
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Internato e Residência
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article