Predictors of Robotic Versus Laparoscopic Inguinal Hernia Repair

Abstract

BackgroundThe advent of robotic-assisted surgery has added an additional decision point in the treatment of inguinal hernias. The goal of this study was to identify the patient, surgeon, and hospital demographic predictors of robotic inguinal hernia repair (IHR). MethodsWe conducted a retrospective analysis of 102,241 IHRs (1096 robotic and 101,145 laparoscopic) from 2010 through 2015 with data collected in the Premier Hospital Database. The adjusted odds ratio (OR) of receiving a robotic IHR was calculated for each of several demographic factors using multivariable logistic regression. ResultsThe rate of robotic IHR increased from 2010 through 2015. Age <65 y and Charlson comorbidity index were not predictors of a robotic IHR. Females were more likely to receive a robotic IHR (OR 1.69, confidence interval [CI] 1.40-2.05, P < 0.0001). Compared with white patients, black patients were more likely (OR 1.33, CI 1.06-1.68, P = 0.0138), and other race patients were less likely (OR 0.47, CI 0.38-0.58, P < 0.0001) to receive a robotic IHR. Compared with Medicare insurance, patients with all other types of insurance were more likely to receive a robotic IHR (OR > 1.00, lower limit of CI > 1.00, P < 0.05). Higher volume surgeons were less likely to perform robotic IHR (OR < 1.00, upper limit of CI < 1.00, P < 0.05). Nonteaching (OR 1.81, CI 1.53-2.13, P < 0.0001), larger (OR > 1.00, lower limit of CI > 1.00, P < 0.05), and rural (OR 1.27, CI 1.03-1.57, P = 0.025) hospitals were more likely to perform robotic IHR. Significant regional variation in the rate of robotic IHR was identified (OR > 1.00, lower limit of CI > 1.00, P < 0.05). ConclusionsThe rate of robotic IHR is increasing exponentially. This study found that female gender, black race, insurance other than Medicare, lower surgeon annual volume, larger hospital size, nonteaching hospital status, rural hospital location, and hospital region were predictors of robotic IHR.