Disparities in robot utilization in colorectal surgery: the widening gap - Summary - MDSpire

Disparities in robot utilization in colorectal surgery: the widening gap

  • By

  • Andrew E. Donaldson

  • Sarah B. Jochum

  • Jimmie Knight

  • Joshua M. Underhill

  • Chassidy Grimes

  • Laura A. DeCesare

  • Brendan O’Donnell

  • Ethan M. Ritz

  • Henry R. Govekar

  • Anuradha R. Bhama

  • Erin King-Mullins

  • Dana M. Hayden

  • July 8, 2026

  • 0 min

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Objective:

To identify factors influencing the type of surgical approach and evaluate disparities in access and outcomes of colectomy and proctectomy from 2013–2020 using a national database.

Approach:
  • Data Source: Utilized the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database to identify patients aged 18 and older who underwent colectomy and/or proctectomy from 2013–2020.
  • Patient Selection: Included patients who underwent open, laparoscopic, or robot-assisted surgery, excluding emergency and endoscopic procedures.
  • Outcomes: Primary outcome was the frequency of robotic colorectal surgery; secondary outcomes included postoperative complications and mortality.
  • Statistical Analysis: Performed univariate and multivariate analyses to identify associations between demographic/clinical factors and surgical approaches.
Key Findings:
  • Robotic surgery adoption in colorectal surgery has increased since the early 2000s but remains concentrated in academic teaching hospitals.
  • Racial disparities exist in access to robotic surgery, with Black patients less frequently offered minimally invasive surgery compared to White patients.
  • The study identified a need for further investigation into whether robotic surgery utilization is increasing equally across different patient populations.
Interpretation:

The findings highlight significant inequities in access to robotic surgical techniques, particularly affecting racial and socioeconomic groups.

Limitations:
  • The study did not include data on the indication for surgery, relying instead on diagnosis groups as a surrogate.
  • Potential biases in the NSQIP database may affect the generalizability of the findings.
Conclusion:

Further research is needed into the trends of robotic surgery adoption across diverse patient demographics.

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