Lynch Julie A, Berse Brygida, Petkov Valentina, Filipski Kelly, Zhou Yingjun, Khoury Muin J, Hassett Michael, Freedman Andrew N
VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
RTI International, Research Triangle Park, Durham, North Carolina, USA.
Genet Med. 2016 Oct;18(10):982-90. doi: 10.1038/gim.2015.218. Epub 2016 Feb 11.
We examined hospital use of the 21-gene breast cancer test in the United States. We report state-level differences in utilization and propose a model for predicting implementation of guideline-recommended genomic testing.
Genomic Health provided test orders for calendar year 2011.We summarized utilization at the hospital and state levels. Using logistic regression, we analyzed the association between the likelihood to order the test and the hospital's institutional and regional characteristics.
In 2011, 45% of 4,712 acute-care hospitals ordered the test, which suggests that 25% of newly diagnosed invasive female breast cancer cases were tested. Significant predictors of testing included participation in National Cancer Institute (NCI) clinical research cooperative groups (odds ratio (OR) 3.73; 95% confidence interval, 2.96-4.70), advanced imaging (OR, 2.19; CI, 1.78-2.68), high-complexity laboratory (OR, 2.15; CI, 1.24-3.70), affiliation with a medical school (OR, 1.57; CI, 1.31-1.88), and reconstructive surgery (OR, 1.23; CI, 1.01-1.50). Significant regional predictors included metropolitan county (OR, 3.77; CI, 2.83-5.03), above-mean income (OR, 1.37; CI, 1.11-1.69), and education (OR, 1.26; CI, 1.03-1.54). Negative predictors included designation as a critical-access hospital (OR, 0.10; CI, 0.07-0.14) and distance from an NCI cancer center (OR, 0.998; CI, 0.997-0.999), with a 15% decrease in likelihood for every 100 miles.
Despite considerable market penetration of the test, there are significant regional and site-of-care differences in implementation, particularly in rural states.Genet Med 18 10, 982-990.
我们研究了美国医院对21基因乳腺癌检测的使用情况。我们报告了各州在使用方面的差异,并提出了一个预测指南推荐的基因组检测实施情况的模型。
Genomic Health公司提供了2011年的检测订单。我们总结了医院和州层面的使用情况。使用逻辑回归分析,我们分析了订购检测的可能性与医院的机构和区域特征之间的关联。
2011年,4712家急症护理医院中有45%订购了该检测,这表明25%的新诊断浸润性女性乳腺癌病例接受了检测。检测的显著预测因素包括参与美国国立癌症研究所(NCI)临床研究合作组(比值比(OR)3.73;95%置信区间,2.96 - 4.70)、先进成像技术(OR,2.19;CI,1.78 - 2.68)、高复杂性实验室(OR,2.15;CI,1.24 - 3.70)、附属医学院(OR,1.57;CI,1.31 - 1.88)以及重建手术(OR,1.23;CI,1.01 - 1.50)。显著的区域预测因素包括大都市县(OR,3.77;CI,2.83 - 5.03)、高于平均水平的收入(OR,1.37;CI,1.11 - 1.69)以及教育水平(OR,1.26;CI,1.03 - 1.54)。负面预测因素包括被指定为临界接入医院(OR,0.10;CI,0.07 - 0.14)以及与NCI癌症中心的距离(OR,0.998;CI,0.997 - 0.999),每100英里可能性降低15%。
尽管该检测在市场上有相当高的渗透率,但在实施方面存在显著的区域和医疗服务地点差异,尤其是在农村州。《基因医学》18卷10期,982 - 990页。