Shen Chan, Gu Dian, Klein Roger, Zhou Shouhao, Shih Ya-Chen T, Tracy Thomas, Soybel David, Dillon Peter
Department of Surgery, Division of Outcomes Research and Quality, The Pennsylvania State University, College of Medicine, Hershey, Pennsylvani.
Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.
MDM Policy Pract. 2020 Feb 2;5(1):2381468320904364. doi: 10.1177/2381468320904364. eCollection 2020 Jan-Jun.
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. To identify factors associated with a hospital's acquisition of advanced surgical systems. 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. 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. This study has limitations common to observational database studies. Certain characteristics such as cultural factors cannot be accurately quantified. 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.
拥有和操作机器人手术系统成本高昂,对于医院管理者而言,购置此类技术是一项重要决策。大多数先前文献聚焦于机器人手术与其他腹腔镜手术或开放手术临床结果的比较。对于推动医院做出购置机器人系统决策的因素,存在知识空白。为了确定与医院购置先进手术系统相关的因素,我们使用了加利福尼亚州全州卫生规划与发展办公室2002年至2011年的数据,来研究476家医院的机器人手术系统购置决策。我们采用了允许误差项存在异方差性的概率单位估计,包括一组两个方程:一个二元响应方程和一个异方差方程。在研究时间段内,样本中的医院共购置了78套机器人手术系统。在控制了诸如可用病床数量、教学状况、非营利状况和患者组合等医院特征后,概率单位估计表明,上一年市场层面直接相关的手术量(不包括医院自身的手术量)影响最大。更具体地说,高手术量市场(手术量>50,000例对0例)的医院购置机器人系统的可能性要高出12个百分点。我们还发现,竞争较小的市场(即赫芬达尔指数高于2500)的医院购置机器人系统的可能性要高出2个百分点。本研究存在观察性数据库研究常见的局限性。某些特征,如文化因素,无法准确量化。我们的研究结果表明,潜在市场需求是医院购置机器人手术系统的强大驱动力。市场竞争并不会显著增加对新的昂贵手术技术的采用。