Facility-level analysis of robot utilization across disciplines in the National Cancer Database

Richard J. Fantus, Andrew Cohen, Christopher B. Riedinger, Kristine Kuchta, Chi H. Wang, Katharine Yao, Sangtae Park

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

To evaluate trends in contemporary robotic surgery across multiple organ sites as they relate to robotic prostatectomy volume. We queried the National Cancer Database for patients who underwent surgery from 2010 to 2013 for prostate, kidney, bladder, corpus uteri, uterus, cervix, colon, sigmoid, rectum, lung and bronchus. The trend between volumes of robotic surgery for each organ site was analyzed using the Cochran–Armitage test. Multivariable models were then created to determine independent predictors of robotic surgery within each organ site by calculating the odds ratio with 95% CI. Among the 566,399 surgical cases analyzed, 35.1% were performed using robot assistance. Institutions whose robotic prostatectomy volume was in the top 75 percentile compared to the bottom 25 percentile performed a larger percentage of robotic surgery on the following sites: kidney 32.6 vs. 28.8%, bladder 23.6 vs. 18.6%, uterus 52.5 vs. 47.7%, cervix 43.5 vs. 39.2%, colon 3.2 vs. 2.9%, rectum 10.7 vs. 8.9%, and lung 7.3 vs. 6.8% (all p < 0.0001). It appears that increased trends toward robotic surgery in urology have lead to increased robotic utilization within other surgical fields. Future analysis in benign utilizations of robotic surgery as well as outcome data comparing robotic to open approaches are needed to better understand the ever-evolving nature of minimally invasive surgery within the United States.

Original languageEnglish (US)
Pages (from-to)293-299
Number of pages7
JournalJournal of Robotic Surgery
Volume13
Issue number2
DOIs
StatePublished - Apr 5 2019
Externally publishedYes

Keywords

  • Da Vinci
  • Healthcare trends
  • Minimally invasive surgery
  • Prostatectomy
  • Robotics

ASJC Scopus subject areas

  • Surgery
  • Health Informatics

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