Population demographics in geographic proximity to hospitals with robotic platforms do not correlate with disparities in access to robotic surgery

Background Disparities in access to robotic surgery have been shown on the local, regional, and national level. This study aims to see if the location of hospitals with robotic platforms (HWR) correlates with population trends to explain the disparity in access to robotic surgery. Methods Hospitals with da Vinci surgical systems were identified by compiling data from the publicly available da Vinci surgeon locator website. Demographic, and economic data were compiled. Multivariate logistic regression and place-based analysis were used to determine population characteristics associated with geographic proximity to HWR. Results The United States has 1971 HWR (5.93 hospitals with robots per 1 million people). The states with the most HWR are Texas (203), California (175), and Florida (162). Multivariate logistic regression analysis of Texas counties determined population (OR 1.97, 95% CI 1.40-3.38) education level (OR 1.64, 95% CI 1.07-3.21), and urban designation (OR 1.15, 95% CI 1.05-1.31) remained significantly associated with HWR. When applied to a national level, population remained associated with higher numbers of HWR (R = 0.945), however level of education and urbanization were not. Conclusions Based on this study of population-level data, disparities in access to robotic surgery seen in prior literature cannot be explained exclusively by sociodemographic factors related to the geographic proximity of HWR. This suggests other biases are involved in the lack of robotic procedures performed among minority and underprivileged populations.

Automated summary

Disparities in access to robotic surgery are not solely explained by sociodemographic factors related to the geographic distribution of hospitals with robotic platforms. While population density is associated with higher numbers of hospitals with robotic platforms, levels of education and urbanization do not play a significant role.