Logo Logo
Hilfe
Hilfe
Switch Language to English

Dru, Christopher J.; Anger, Jennifer T.; Souders, Colby P.; Bresee, Catherine; Weigl, Matthias; Hallett, Elyse und Catchpole, Ken (2017): Surgical flow disruptions during robotic-assisted radical prostatectomy. In: Canadian Journal of Urology, Bd. 24, Nr. 3: S. 8814-8821

Volltext auf 'Open Access LMU' nicht verfügbar.

Abstract

Introduction: We sought to apply the principles of human factors research to robotic-assisted radical prostatectomy to understand where training and integration challenges lead to suboptimal and inefficient care. Materials and methods: Thirty-four robotic-assisted radical prostatectomy and bilateral pelvic lymph node dissections over a 20 week period were observed for flow disruptions (FD)- deviations from optimal care that can compromise safety or efficiency. Other variables physician experience, trainee involvement, robot model (S versus Si), age, body mass index (BMI), and American Society of Anesthesiologists (ASA) physical status were used to stratify the data and understand the effect of context. Effects were studied across four operative phases- entry to insufflations, robot docking, surgical intervention, and undocking. FDs were classified into one of nine categories. Results: An average of 9.2 (SD = 3.7) FD/hr were recorded, with the highest rates during robot docking (14.7 [SD = 4.3] FDs/hr). The three most common flow disruptions were disruptions of communication, coordination, and equipment. Physicians with more robotic experience were faster during docking (p < 0.003). Training cases had a greater FD rate (8.5 versus 10.6, p < 0.001), as did the Si model robot (8.2 versus 9.8, p = 0.002). Patient BMI and ASA classification yielded no difference in operative duration, but had phase-specific differences in FD. Conclusions: Our data reflects the demands placed on the OR team by the patient, equipment, environment and context of a robotic surgical intervention, and suggests opportunities to enhance safety, quality, efficiency, and learning in robotic surgery.

Dokument bearbeiten Dokument bearbeiten