C-SATS: Assessing Surgical Skills Among Urology Residency Applicants

被引:32
|
作者
Vernez, Simone L. [1 ]
Huynh, Victor [1 ]
Osann, Kathryn [2 ]
Okhunov, Zhamshid [1 ]
Landman, Jaime [1 ]
Clayman, Ralph V. [1 ]
机构
[1] Univ Calif Irvine, Dept Urol, 333 City Blvd West,Suite 2100, Orange, CA 92868 USA
[2] Univ Calif Irvine, Dept Med, Hematol Oncol Div, Orange, CA 92668 USA
关键词
clinical competence; crowdsourcing; education; interviews; residency; validation studies; CROWD-SOURCED ASSESSMENT; TECHNICAL SKILLS; ASSESSMENT-TOOL; SURGERY; PERFORMANCE; SIMULATOR;
D O I
10.1089/end.2016.0569
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: We hypothesized that surgical skills assessment could aid in the selection process of medical student applicants to a surgical program. Recently, crowdsourcing has been shown to provide an accurate assessment of surgical skills at all levels of training. We compared expert and crowd assessment of surgical tasks performed by resident applicants during their interview day at the urology program at the University of California, Irvine. Materials and Methods: Twenty-five resident interviewees performed four tasks: open square knot tying, laparoscopic peg transfer, robotic suturing, and skill task 8 on the LAP Mentor (TM) (Simbionix Ltd., Lod, Israel). Faculty experts and crowd workers (Crowd-Sourced Assessment of Technical Skills [C-SATS], Seattle, WA) assessed recorded performances using the Objective Structured Assessment of Technical Skills (OSATS), Global Evaluative Assessment of Robotic Skills (GEARS), and the Global Operative Assessment of Laparoscopic Skills (GOALS) validated assessment tools. Results: Overall, 3938 crowd assessments were obtained for the four tasks in less than 3.5 hours, whereas the average time to receive 150 expert assessments was 22 days. Inter-rater agreement between expert and crowd assessment scores was 0.62 for open knot tying, 0.92 for laparoscopic peg transfer, and 0.86 for robotic suturing. Agreement between applicant rank on skill task 8 on the LAP Mentor assessment and crowd assessment was 0.32. The crowd match rank based solely on skills performance did not compare well with the final faculty match rank list (0.46); however, none of the bottom five crowd-rated applicants appeared in the top five expert-rated applicants and none of the top five crowd-rated applicants appeared in the bottom five expertrated applicants. Conclusions: Crowd-source assessment of resident applicant surgical skills has good inter-rater agreement with expert physician raters but not with a computer-based objective motion metrics software assessment. Overall applicant rank was affected to some degree by the crowd performance rating.
引用
收藏
页码:S95 / S100
页数:6
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