Li Huilin, Gail Mitchell H, Braithwaite R Scott, Gold Heather T, Walter Dawn, Liu Mengling, Gross Cary P, Makarov Danil V
Department of Population Health, New York University, New York, NY, 10016 ; New York University Cancer Institute.
Division of Cancer Epidemiology and Genetics, Biostatistics Branch, National Cancer Institute, NIH, Rockville, MD, 20852-7242.
Healthc (Amst). 2014 Jul;2(2):152-157. doi: 10.1016/j.hjdsi.2013.10.002.
The surgical robot has been widely adopted in the United States in spite of its high cost and controversy surrounding its benefit. Some have suggested that a "medical arms race" influences technology adoption. We wanted to determine whether a hospital would acquire a surgical robot if its neighboring hospital already owned one.
We identified 554 hospitals performing radical prostatectomy from the Healthcare Cost and Utilization Project Statewide Inpatient Databases for seven states. We used publicly available data from the website of the surgical robot's sole manufacturer (Intuitive Surgical, Sunnyvale, CA) combined with data collected from the hospitals to ascertain the timing of robot acquisition 2008. One hundred thirty four hospitals (24%) had acquired a surgical robot by the end of 2008. We geocoded the address of each hospital and . We developed a Markov chain method to model the acquisition process spatially and temporally and quantified the "neighborhood effect" on the acquisition of the surgical robot while adjusting simultaneously for known confounders.
After adjusting for hospital teaching status, surgical volume, urban status and number of hospital beds, the Markov chain analysis demonstrated that a hospital whose nearest neighbor had acquired a surgical robot had a higher likelihood itself acquiring a surgical robot. (OR=1.71, , p=0.02).
There is a significant spatial and temporal association for hospitals acquiring surgical robots during the study period. Hospitals were more likely to acquire a surgical robot during the robot's early adoption phase if their nearest neighbor had already done so.
尽管手术机器人成本高昂且其益处存在争议,但它在美国已被广泛采用。一些人认为“医疗军备竞赛”影响了技术的采用。我们想确定一家医院在其邻近医院已拥有手术机器人的情况下是否会购置手术机器人。
我们从七个州的医疗成本和利用项目全州住院数据库中识别出554家进行根治性前列腺切除术的医院。我们使用了手术机器人唯一制造商(直观外科公司,加利福尼亚州森尼韦尔市)网站上公开可用的数据,并结合从医院收集的数据来确定机器人购置时间(2008年)。到2008年底,134家医院(24%)已购置了手术机器人。我们对每家医院的地址进行了地理编码。我们开发了一种马尔可夫链方法来在空间和时间上对购置过程进行建模,并在同时调整已知混杂因素的情况下,量化“邻里效应”对手术机器人购置的影响。
在调整了医院教学状况、手术量、城市状况和医院床位数后,马尔可夫链分析表明,其最近邻医院已购置手术机器人的医院自身购置手术机器人的可能性更高。(比值比=1.71,p=0.02)。
在研究期间,医院购置手术机器人存在显著的空间和时间关联。如果其最近邻医院已经购置了手术机器人,那么医院在手术机器人早期采用阶段更有可能购置。