Potential for optimizing the perioperative care in robotic prostatectomy patients by adoption of enhanced recovery after surgery principles.

Autor: Liakos, Nikolaos, Beyer, Burkhard, Ohlmann, Carsten, Schoeb, Dominik, Wiesinger, Clemens G., Borgmann, Hendrik
Zdroj: Journal of Robotic Surgery; Apr2022, Vol. 16 Issue 2, p415-419, 5p
Abstrakt: Several benefits have been reported after applying the principles of enhanced recovery after surgery (ERAS) into the perioperative care of patients undergoing robot-assisted radical prostatectomy (RARP). Nevertheless, there are still barriers. We aimed to identify the key areas by systematically surveying urology departments in Germany and Austria. A 27-question survey on the adoption of ERAS principles for the perioperative care of RARP patients was designed, in compliance with the guidelines on good practice in conducting and reporting of survey research. After positive testing for face and content validity, the survey was distributed via postal mail to 82 departments performing RARP. In total, 39 departments responded to our survey (response rate 48%). The ERAS adoption rates ranged from 21 to 97%, with nine ERAS principles being widely adopted (72–92% of the departments). The lowest adoption rates and, subsequently, the largest potential for optimization were detected for the preoperative nutrition counselling (21%), preoperative pelvic floor physiotherapy (54%), postoperative early initiation of nutrition (44%) and postoperative patient audit for further quality improvement (36%). High-volume centers performed more frequently a perioperative nutrition counselling (8/27; 30%) than low-volume centers (0/12; 0%; p = 0.036). The implementation of the ERAS principles into the perioperative care algorithm were medium-to-high, yet not optimal. Our real-world data assessment revealed four key areas showing low adoption rates (nutrition counselling, preoperative pelvic floor physiotherapy, early initiation of nutrition and patient audit), implying a great potential for further optimization. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index