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DOI 10.1016/j.jsurg.2023.12.002

Медицинская библиотека · Journal of surgical education · 2024

Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation.

Haque Taseen F, Knudsen J Everett, You Jonathan, Hui Alvin, Djaladat Hooman, Ma Runzhuo, Cen Steven, Goldenberg Mitchell, Hung Andrew J

СтатьяПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

OBJECTIVE

Surgical skill assessment tools such as the End-to-End Assessment of Suturing Expertise (EASE) can differentiate a surgeon's experience level. In this simulation-based study, we define a competency benchmark for intraoperative robotic suturing using EASE as a validated measure of performance.

DESIGN

Participants conducted a dry-lab vesicourethral anastomosis (VUA) exercise. Videos were each independently scored by 2 trained, blinded reviewers using EASE. Inter-rater reliability was measured with prevalence-adjusted bias-adjusted Kappa (PABAK) using 2 example videos. All videos were reviewed by an expert surgeon, who determined if the suturing skills exhibited were at a competency level expected for residency graduation (pass or fail). The Contrasting Group (CG) method was then used to set a pass/fail score at the intercept of the pass and fail cohorts' EASE score distributions.

SETTING

Keck School of Medicine, University of Southern California.

PARTICIPANTS

Twenty-six participants: 8 medical students, 8 junior residents (PGY 1-2), 7 senior residents (PGY 3-5) and 3 attending urologists.

RESULTS

After 1 round of consensus-building, average PABAK across EASE subskills was 0.90 (Range 0.67-1.0). The CG method produced a competency benchmark EASE score of >35/39, with a pass rate of 10/26 (38%); 27% were deemed competent by expert evaluation. False positives and negatives were defined as medical students who passed and attendings who failed the assessment, respectively. This pass/fail score produced no false positives or negatives, and fewer JR than SR were considered competent by both the expert and CG benchmark.

CONCLUSIONS

Using an absolute standard setting method, competency scores were set to identify trainees who could competently execute a standardized dry-lab robotic suturing exercise. This standard can be used for high stakes decisions regarding a trainee's technical readiness for independent practice. Future work includes validation of this standard in the clinical environment through correlation with clinical outcomes.

Для цитирования: Haque Taseen F, Knudsen J Everett, You Jonathan, Hui Alvin, Djaladat Hooman, Ma Runzhuo, Cen Steven, Goldenberg Mitchell, Hung Andrew J. Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation.. Journal of surgical education. 2024. DOI: 10.1016/j.jsurg.2023.12.002.

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