Cargando…

Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems

Background. Robotic surgical systems are expensive to own and operate, and the purchase of such technology is an important decision for hospital administrators. Most prior literature focuses on the comparison of clinical outcomes between robotic surgery and other laparoscopic or open surgery. There...

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Chan, Gu, Dian, Klein, Roger, Zhou, Shouhao, Shih, Ya-Chen T., Tracy, Thomas, Soybel, David, Dillon, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997967/
https://www.ncbi.nlm.nih.gov/pubmed/32072012
http://dx.doi.org/10.1177/2381468320904364
_version_ 1783493788670361600
author Shen, Chan
Gu, Dian
Klein, Roger
Zhou, Shouhao
Shih, Ya-Chen T.
Tracy, Thomas
Soybel, David
Dillon, Peter
author_facet Shen, Chan
Gu, Dian
Klein, Roger
Zhou, Shouhao
Shih, Ya-Chen T.
Tracy, Thomas
Soybel, David
Dillon, Peter
author_sort Shen, Chan
collection PubMed
description Background. Robotic surgical systems are expensive to own and operate, and the purchase of such technology is an important decision for hospital administrators. Most prior literature focuses on the comparison of clinical outcomes between robotic surgery and other laparoscopic or open surgery. There is a knowledge gap about what drives hospitals’ decisions to purchase robotic systems. Objective. To identify factors associated with a hospital’s acquisition of advanced surgical systems. Method. We used 2002 to 2011 data from the State of California Office of Statewide Health Planning and Development to examine robotic surgical system purchase decisions of 476 hospitals. We used a probit estimation allowing heteroscedasticity in the error term including a set of two equations: one binary response equation and one heteroscedasticity equation. Results. During the study timeframe, there were 78 robotic surgical systems purchased by hospitals in the sample. Controlling for hospital characteristics such as number of available beds, teaching status, nonprofit status, and patient mix, the probit estimation showed that market-level directly relevant surgery volume in the previous year (excluding the hospital’s own volume) had the largest impact. More specifically, hospitals in high volume (>50,000 surgeries v. 0) markets were 12 percentage points more likely to purchase robotic systems. We also found that hospitals in less competitive markets (i.e., Herfindahl index above 2500) were 2 percentage points more likely to purchase robotic systems. Limitations. This study has limitations common to observational database studies. Certain characteristics such as cultural factors cannot be accurately quantified. Conclusions. Our findings imply that potential market demand is a strong driver for hospital purchase of robotic surgical systems. Market competition does not significantly increase the adoption of new expensive surgical technologies.
format Online
Article
Text
id pubmed-6997967
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-69979672020-02-18 Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems Shen, Chan Gu, Dian Klein, Roger Zhou, Shouhao Shih, Ya-Chen T. Tracy, Thomas Soybel, David Dillon, Peter MDM Policy Pract Article Background. Robotic surgical systems are expensive to own and operate, and the purchase of such technology is an important decision for hospital administrators. Most prior literature focuses on the comparison of clinical outcomes between robotic surgery and other laparoscopic or open surgery. There is a knowledge gap about what drives hospitals’ decisions to purchase robotic systems. Objective. To identify factors associated with a hospital’s acquisition of advanced surgical systems. Method. We used 2002 to 2011 data from the State of California Office of Statewide Health Planning and Development to examine robotic surgical system purchase decisions of 476 hospitals. We used a probit estimation allowing heteroscedasticity in the error term including a set of two equations: one binary response equation and one heteroscedasticity equation. Results. During the study timeframe, there were 78 robotic surgical systems purchased by hospitals in the sample. Controlling for hospital characteristics such as number of available beds, teaching status, nonprofit status, and patient mix, the probit estimation showed that market-level directly relevant surgery volume in the previous year (excluding the hospital’s own volume) had the largest impact. More specifically, hospitals in high volume (>50,000 surgeries v. 0) markets were 12 percentage points more likely to purchase robotic systems. We also found that hospitals in less competitive markets (i.e., Herfindahl index above 2500) were 2 percentage points more likely to purchase robotic systems. Limitations. This study has limitations common to observational database studies. Certain characteristics such as cultural factors cannot be accurately quantified. Conclusions. Our findings imply that potential market demand is a strong driver for hospital purchase of robotic surgical systems. Market competition does not significantly increase the adoption of new expensive surgical technologies. SAGE Publications 2020-02-02 /pmc/articles/PMC6997967/ /pubmed/32072012 http://dx.doi.org/10.1177/2381468320904364 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Shen, Chan
Gu, Dian
Klein, Roger
Zhou, Shouhao
Shih, Ya-Chen T.
Tracy, Thomas
Soybel, David
Dillon, Peter
Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems
title Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems
title_full Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems
title_fullStr Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems
title_full_unstemmed Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems
title_short Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems
title_sort factors associated with hospital decisions to purchase robotic surgical systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997967/
https://www.ncbi.nlm.nih.gov/pubmed/32072012
http://dx.doi.org/10.1177/2381468320904364
work_keys_str_mv AT shenchan factorsassociatedwithhospitaldecisionstopurchaseroboticsurgicalsystems
AT gudian factorsassociatedwithhospitaldecisionstopurchaseroboticsurgicalsystems
AT kleinroger factorsassociatedwithhospitaldecisionstopurchaseroboticsurgicalsystems
AT zhoushouhao factorsassociatedwithhospitaldecisionstopurchaseroboticsurgicalsystems
AT shihyachent factorsassociatedwithhospitaldecisionstopurchaseroboticsurgicalsystems
AT tracythomas factorsassociatedwithhospitaldecisionstopurchaseroboticsurgicalsystems
AT soybeldavid factorsassociatedwithhospitaldecisionstopurchaseroboticsurgicalsystems
AT dillonpeter factorsassociatedwithhospitaldecisionstopurchaseroboticsurgicalsystems