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

Health Policy

Department of Economics, City, University of London, Northampton Square, EC1V 0HB London, UK; Department of Health Policy, London School of Economics and Political Science, Houghton Street, WC2A 2AE London, UK; Visiting Research Fellow, Office of Health Economics, 105 Victoria Street, London, SW1E 6QT, UK.

Published: April 2022

AI Article Synopsis

  • The paper studies how medical technology, especially robotic surgery, is being adopted and spread in the English NHS healthcare system.
  • It focuses on the adoption patterns of robotic, laparoscopic, and traditional open prostatectomy surgeries from 2000 to 2018.
  • Findings reveal that robotic surgery tends to replace both laparoscopic and open techniques, with factors like the number of urologists and wealthier areas influencing its adoption.

Article Abstract

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 2000-2018, 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.

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Source
http://dx.doi.org/10.1016/j.healthpol.2022.02.007DOI Listing

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