Katherine Bingmer1, Maher Kazimi2, Victoria Wang3, Asya Ofshteyn1, Emily Steinhagen1, Sharon L Stein4. 1. Department of Surgery, UH-RISES, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, LKS 5047, Cleveland, OH, 44106, USA. 2. Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA. 3. Case Western Reserve University School of Medicine, Cleveland, OH, USA. 4. Department of Surgery, UH-RISES, University Hospitals Cleveland Medical Center, 11100 Euclid Avenue, LKS 5047, Cleveland, OH, 44106, USA. Sharon.stein@uhhospitals.org.
Abstract
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.
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.
Authors: Erin A Blake; Jeanelle Sheeder; Kian Behbakht; Saketh R Guntupalli; Michael S Guy Journal: Ann Surg Oncol Date: 2016-05-12 Impact factor: 5.344
Authors: Akshay Sood; Dane E Klett; Firas Abdollah; Jesse D Sammon; Dan Pucheril; Mani Menon; Wooju Jeong; James O Peabody Journal: Investig Clin Urol Date: 2016-05-02