4.4 Article

The diffusion of robotic surgery: Examining technology use in the English NHS

Journal

HEALTH POLICY
Volume 126, Issue 4, Pages 325-336

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.healthpol.2022.02.007

Keywords

Technology; Substitution; Adoption; Diffusion; Robotic surgery

Funding

  1. Efficiency Research Program funded by Health Foundation [7432]

Ask authors/readers for more resources

This paper examines the adoption and diffusion of medical technology, focusing on the significant increase in the use of surgical robots. The study reveals that robotic surgery has replaced traditional technologies and diffused to other surgical specialties over time, with a preference from urologists and wealthy referral areas.
This paper examines the adoption and diffusion of medical technology as associated with the dramatic recent increase in the surgical use of robots. We consider specifically the sequential adoption and diffusion patterns of three interrelated surgical technologies within a single healthcare system (the English NHS): robotic, laparoscopic and open radical prostatectomy. Robotic and laparoscopic techniques are minimally invasive procedures with similar patient benefits, but the newer robotic technique requires a high initial investment cost to purchase the robot and carries high maintenance costs over time. Using data from a large UK administrative database, Hospital Episodes Statistics, for the period 20 0 0-2018, we analyse 173 hospitals performing radical prostatectomy, the most prevalent and earliest surgical area of adoption of robotic surgery. Our empirical analysis first identifies substitution effects, with robotic surgery replacing the incumbent technology, including the recently diffused laparoscopic technology. We then quantify the spillover of robotic surgery as it diffuses to other surgical specialties. Finally, we perform time-to-event analysis at the hospital level to quantitatively examine the adoption. Results show that a higher number of urologists and a wealthier referral area favor robot adoption.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available