da Vinci and Open Radical Prostatectomy: Comparison of Clinical Outcomes and Analysis of Insurance Costs

Abstract

Purpose: To assess clinical outcomes and reimbursement costs of open and robotic-assisted radical prostatectomies in Germany.

Methods: Perioperative data of 499 open (2003-2006) and 932 (2008-2010) robotic-assisted radical prostatectomies as well as longitudinal reimbursement costs of an anonymized health insurance research database from Germany containing data of patients who underwent robotic-assisted or open radical prostatectomy were retrospectively analysed in a single-centre study.

Results: Significantly better outcomes after robotic-assisted vs. open prostatectomy were observed in regards to positive surgical margins (13.3 vs. 22.4%; p < 0.0001), intraoperative transfusions (0.1 vs. 2.6%; p < 0.0001), hospitalization (8.7 vs. 15.2 days; p < 0.0001) and duration of catheter (6.6 vs. 12.8 days; p < 0.0001). Operating time was significantly longer with robotic-assisted radical prostatectomy when compared to open surgery (184.4 vs. 128.0 min; p < 0.0001), while intraoperative complications showed a similar occurrence between both groups. Significant fewer postoperative complications were observed after robotic-assisted radical prostatectomy (26.5 vs. 42.5%; p < 0.0001) and rate of re-admission was lower for the robotic patients (13.6 vs. 19.4%; p = 0.0050). While insurance costs were higher in the 2 years before radical prostatectomy for the patients who underwent a robotic procedure (4,241.60 vs. 3,410.23 €; p = 0.202), additive costs of care of the year of surgery plus the 2 following years were less for the robotic cohort when compared to the costs incurred by the open group (21,673.71 vs. 24,512.37 €; p = 0.1676).

Conclusions: The observed clinical advantages of robotic-assisted radical prostatectomy seem to result in reduced health insurance cost postoperatively when compared to open surgery. This should be taken into consideration regarding reimbursement and implementation of a clinically superior method.