Surgeon Skill and Perioperative Outcomes in Robot-Assisted Partial Nephrectomy.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 Jul 2024
Historique:
medline: 15 7 2024
pubmed: 15 7 2024
entrez: 15 7 2024
Statut: epublish

Résumé

Technical skill in complex surgical procedures may affect clinical outcomes, and there is growing interest in understanding the clinical implications of surgeon proficiency levels. To determine whether surgeon scores representing technical skills of robot-assisted kidney surgery are associated with patient outcomes. This quality improvement study included 10 urological surgeons participating in a surgical collaborative in Michigan from July 2021 to September 2022. Each surgeon submitted up to 7 videos of themselves performing robot-assisted partial nephrectomy. Videos were segmented into 6 key steps, yielding 127 video clips for analysis. Each video clip was deidentified and distributed to at least 3 of the 24 blinded peer surgeons from the collaborative who also perform robot-assisted partial nephrectomy. Reviewers rated technical skill and provided written feedback. Statistical analysis was performed from May 2023 to January 2024. Reviewers scored each video clip using a validated instrument to assess technical skill for partial nephrectomy on a scale of 1 to 5 (higher scores indicating greater skill). For all submitting surgeons, outcomes from a clinical registry were assessed for length of stay (LOS) greater than 3 days, estimated blood loss (EBL) greater than 500 mL, warm ischemia time (WIT) greater than 30 minutes, positive surgical margin (PSM), 30-day emergency department (ED) visits, and 30-day readmission. Among the 27 unique surgeons who participated in this study as reviewers and/or individuals performing the procedures, 3 (11%) were female, and the median age was 47 (IQR, 39-52) years. Risk-adjusted outcomes were associated with scores representing surgeon skills. The overall performance score ranged from 3.5 to 4.7 points with a mean (SD) of 4.1 (0.4) points. Greater skill was correlated with significantly lower rates of LOS greater than 3 days (-6.8% [95% CI, -8.3% to -5.2%]), EBL greater than 500 mL (-2.6% [95% CI, -3.0% to -2.1%]), PSM (-8.2% [95% CI, -9.2% to -7.2%]), ED visits (-3.9% [95% CI, -5.0% to -2.8%]), and readmissions (-5.7% [95% CI, -6.9% to -4.6%]) (P < .001 for all). Higher overall score was also associated with higher partial nephrectomy volume (β coefficient, 11.4 [95% CI, 10.0-12.7]; P < .001). In this quality improvement study on video-based evaluation of robot-assisted partial nephrectomy, higher technical skill was associated with lower rates of adverse clinical outcomes. These findings suggest that video-based evaluation plays a role in assessing surgical skill and can be used in quality improvement initiatives to improve patient care.

Identifiants

pubmed: 39008300
pii: 2821157
doi: 10.1001/jamanetworkopen.2024.21696
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2421696

Auteurs

Yuzhi Wang (Y)

Vattikuti Urology Institute, Henry Ford Health, Detroit, Michigan.

Samantha Wilder (S)

Vattikuti Urology Institute, Henry Ford Health, Detroit, Michigan.

Mahmoud Hijazi (M)

Department of Urology, University of Michigan Medical School, Ann Arbor.

Marquisha D Myles (MD)

Vattikuti Urology Institute, Henry Ford Health, Detroit, Michigan.

Mahin Mirza (M)

Department of Urology, University of Michigan Medical School, Ann Arbor.

Monica Van Til (M)

Department of Urology, University of Michigan Medical School, Ann Arbor.

Thomas Maatman (T)

Michigan Urological Clinic, Grand Rapids.

Khurshid R Ghani (KR)

Department of Urology, University of Michigan Medical School, Ann Arbor.

Brian R Lane (BR)

Corewell Health Hospital System, Grand Rapids, Michigan.
Michigan State University College of Human Medicine, Grand Rapids.

Craig G Rogers (CG)

Vattikuti Urology Institute, Henry Ford Health, Detroit, Michigan.

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