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Citation

Chan, John K.; Gardner, Austin B.; Taylor, Katie; Blansit, Kevin; Thompson, Caroline A.; Brooks, Rebecca; Yu, Xinhua; & Kapp, Daniel S. (2015). The Centralization of Robotic Surgery in High-Volume Centers for Endometrial Cancer Patients--A Study of 6560 Cases in the U.S.. Gynecologic Oncology, 138(1), 128-132.

Abstract

OBJECTIVE: To evaluate the hospital and patient factors associated with robotic surgery for endometrial cancer in the United States.
METHODS: Data was obtained from the Nationwide Inpatient Sample from the year 2010. Chi-squared and multivariate analyses were used for statistical analysis.
RESULTS: Of the 6560 endometrial cancer patients who underwent surgery, the median age was 62 (range: 22 to 99). 1647 (25%) underwent robotic surgery, 820 (13%) laparoscopic, and 4093 (62%) had open surgery. The majority was White (65%). Hospitals with 76 or more hysterectomy cases for endometrial cancer patients per year (4% of hospitals in the study) performed 31% of all hysterectomies and 40% of all robotic hysterectomies (p<0.01). 29% of Whites had robotic surgery compared to 15% of Hispanics, 12% of Blacks, and 11% of Asians (p<0.01). Patients with upper-middle and high incomes underwent robotic surgery more than patients with low or middle incomes (p<0.01). 27% of Medicare patients and 26% of patients with private insurance had robotic surgery compared to only 14% of Medicaid patients and 12% of uninsured patients (p<0.01).
CONCLUSIONS: The majority of robotic surgeries for endometrial cancer were performed at a small number of high-volume hospitals in the United States. Socioeconomic status, insurance type, and race were also important predictors for the use of RS. Further studies are warranted to better understand the barriers to receiving minimally invasive surgery.

URL

http://dx.doi.org/10.1016/j.ygyno.2015.04.031

Reference Type

Journal Article

Year Published

2015

Journal Title

Gynecologic Oncology

Author(s)

Chan, John K.
Gardner, Austin B.
Taylor, Katie
Blansit, Kevin
Thompson, Caroline A.
Brooks, Rebecca
Yu, Xinhua
Kapp, Daniel S.

Article Type

Regular

Data Set/Study

Nationwide Inpatient Sample (NIS)

Continent/Country

United States

State

Nonspecific

ORCiD

Thompson, C. - 0000-0001-9990-9756