Cookies?
Library Header Image
LSE Research Online LSE Library Services

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

Maynou, Laia ORCID: 0000-0002-0447-2959, Pearson, Georgia, McGuire, Alistair ORCID: 0000-0002-5367-9841 and Serra-Sastre, Victoria (2022) The diffusion of robotic surgery: examining technology use in the English NHS. Health Policy, 126 (4). 325 - 336. ISSN 0168-8510

[img] Text (1-s2.0-S0168851022000562-main) - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (938kB)

Identification Number: 10.1016/j.healthpol.2022.02.007

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.

Item Type: Article
Official URL: https://www.sciencedirect.com/journal/health-polic...
Additional Information: © 2022 The Authors
Divisions: Health Policy
Subjects: R Medicine > RA Public aspects of medicine
T Technology > T Technology (General)
JEL classification: O - Economic Development, Technological Change, and Growth > O3 - Technological Change; Research and Development > O33 - Technological Change: Choices and Consequences; Diffusion Processes
I - Health, Education, and Welfare > I1 - Health > I12 - Health Production: Nutrition, Mortality, Morbidity, Suicide, Substance Abuse and Addiction, Disability, and Economic Behavior
C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C41 - Duration Analysis
C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors > C33 - Models with Panel Data
J - Labor and Demographic Economics > J2 - Time Allocation, Work Behavior, and Employment Determination and Creation; Human Capital; Retirement > J20 - General
Date Deposited: 30 Mar 2022 15:33
Last Modified: 12 Oct 2024 06:15
URI: http://eprints.lse.ac.uk/id/eprint/114535

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics