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Trends in the diffusion of robotic surgery: A retrospective observational study

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Title: Trends in the diffusion of robotic surgery: A retrospective observational study
Authors: Marcus, HJ
Hughes-Hallett, A
Payne, CJ
Cundy, TP
Nandi, D
Yang, GZ
Darzi, A
Item Type: Journal Article
Abstract: Background Recent studies have suggested that the use of robotic surgery for prostatectomy has been increasing, but characterization of the diffusion of robotic surgery in other procedures has not been available. Methods Data were analysed for the years 2006–2014 using hospital episode statistics (HES), a database of all admissions to National Health Service (NHS) hospitals in England. OPCS codes were used to determine the annual number of prostatectomy, partial nephrectomy, and total abdominal hysterectomy procedures. Concurrent OPCS codes were then used to identify whether these procedures were robotic, conventional laparoscopic or open surgery. Results The proportion of robotic cases varied depending on the surgical procedure. Diffusion of robotic surgery was relatively rapid in prostatectomy, moderate in partial nephrectomy, and slow in total abdominal hysterectomy. Conclusions Although high institutional cost might explain the earliest delays in diffusion, this barrier does not fully account for the different rates of diffusion among surgical procedures.
Issue Date: 6-Nov-2017
Date of Acceptance: 15-Sep-2017
URI: http://hdl.handle.net/10044/1/51222
DOI: https://dx.doi.org/10.1002/rcs.1870
ISSN: 1478-5951
Publisher: Wiley
Journal / Book Title: International Journal of Medical Robotics and Computer Assisted Surgery
Volume: 13
Issue: 4
Copyright Statement: © 2017 The Authors. The International Journal of Medical Robotics and Computer Assisted Surgery published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Sponsor/Funder: Wellcome Trust
Funder's Grant Number: 100564/Z/12/Z
Keywords: 1103 Clinical Sciences
Surgery
Publication Status: Published
Article Number: e1870
Appears in Collections:Faculty of Engineering
Division of Surgery
Computing
Faculty of Medicine



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