Accessibility to surgical robot technology and prostate-cancer patient behavior for prostatectomy.

To examine how surgical robot emergence affects prostate-cancer patient behavior in seeking radical prostatectomy focusing on geographical accessibility.

In Japan, robotic surgery was approved in April 2012. Based on data in the Japanese Diagnosis Procedure Combination database between April 2012 and March 2014, distance to nearest surgical robot and interval days to radical prostatectomy (divided by mean interval in 2011: % interval days to radical prostatectomy) were calculated for individual radical prostatectomy cases at non-robotic hospitals. Caseload changes regarding distance to nearest surgical robot and robot introduction were investigated. Change in % interval days to radical prostatectomy was evaluated by multivariate analysis including distance to nearest surgical robot, age, comorbidity, hospital volume, operation type, hospital academic status, bed volume and temporal progress.

% Interval days to radical prostatectomy became wider for distance to nearest surgical robot <30 km. When a surgical robot emerged within 30 and 10 km, the prostatectomy caseload in non-robot hospitals reduced by 13 and 18% within 6 months, respectively, while the robot hospitals gained +101% caseload (P < 0.01 for all) Multivariate analyses including 9759 open and 5052 non-robotic minimally invasive radical prostatectomies in 483 non-robot hospitals revealed a significant inverse association between distance to nearest surgical robot and % interval days to radical prostatectomy (B = -17.3% for distance to nearest surgical robot ≥30 km and -11.7% for 10-30 km versus distance to nearest surgical robot <10 km), while younger age, high-volume hospital, open-prostatectomy provider and temporal progress were other significant factors related to % interval days to radical prostatectomy widening (P < 0.05 for all).

Robotic surgery accessibility within 30 km would make patients less likely select conventional surgery. The nearer a robot was, the faster the caseload reduction was.

Japanese journal of clinical oncology. 2017 Jul 01 [Epub]

Toru Sugihara, Hideo Yasunaga, Hiroki Matsui, Go Nagao, Akira Ishikawa, Tetsuya Fujimura, Hiroshi Fukuhara, Kiyohide Fushimi, Makoto Ohori, Yukio Homma

Department of Urology, Japanese Red Cross Medical Center, Tokyo., Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo., Department of Urology, Tokyo Medical University, Tokyo, Japan., Department of Urology, The University of Tokyo, Tokyo., Department of Health Care Informatics, Tokyo Medical and Dental University, Tokyo, Japan.