Association of demographic, clinical, and hospital-related factors with use of robotic hysterectomy for benign indications: A national database study

Anna Jo B. Smith, Abdelrahman AlAshqar, Kate F. Chaves, Mostafa A. Borahay

Research output: Contribution to journalArticle

Abstract

Background: We examined the association of patient factors, gynecologic diagnoses, and hospital characteristics with utilization of the robotic approach for benign hysterectomy. Methods: We performed cross-sectional study of women (n = 725 050) undergoing hysterectomies in the 2012 to 2014 National Inpatient Sample. Results: A total of 725 050 women underwent inpatient hysterectomy for benign indications: 70345 (10%) were performed robotically. Women were more likely to receive robotic hysterectomy at teaching hospitals (RR 1.60 [95% CI 1.54-1.66]) after adjustment for other patient factors, gynecologic diagnoses, and hospital characteristics. They were more likely to undergo robotic hysterectomy at large (RR 1.34 [95% CI 1.29-1.39]) and for-profit hospitals (RR 1.16 [95% CI 1.11-1.22]). Women were less likely to undergo robotic hysterectomy if they were rural (RR 0.68 [95% CI 0.64-0.72]), African-American (RR 0.78 [95% CI 0.74-0.82]), or publicly insured or uninsured (RR 0.55 [95% CI 0.53-0.57]) women. Conclusion: Significant geographic and hospital-level disparities exist in access to robotic hysterectomy in the United States.

Original languageEnglish (US)
Article numbere2107
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume16
Issue number4
DOIs
StatePublished - Aug 1 2020

Keywords

  • benign hysterectomy
  • minimally invasive
  • racial disparity
  • robotic surgery

ASJC Scopus subject areas

  • Surgery
  • Biophysics
  • Computer Science Applications

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