Aix-Marseille Univ., CNRS, EHESS, Centrale Marseille, AMSE, Marseille, France.
The Dartmouth Institute for Health Policy and Clinical Practice, Williamson Translational Building, DHMC, Lebanon, NH, United States of America.
PLoS One. 2020 Jul 1;15(7):e0234387. doi: 10.1371/journal.pone.0234387. eCollection 2020.
In this article, we studied geographic variation in the use of personalized genetic testing for advanced non-small cell lung cancer (NSCLC) and we evaluated the relationship between genetic testing rates and local socioeconomic and ecological variables. We used data on all advanced NSCLC patients who had a genetic test between April 2012 and April 2013 in France in the frame of the IFCT Biomarqueurs-France study (n = 15814). We computed four established measures of geographic variation of the sex-adjusted rates of genetic testing utilization at the "départment" (the French territory is divided into 94 administrative units called 'départements') level. We also performed a spatial regression model to determine the relationship between département-level sex-adjusted rates of genetic testing utilization and economic and ecological variables. Our results are the following: (i) Overall, 46.87% lung cancer admission patients obtained genetic testing for NSCLC; département-level utilization rates varied over 3.2-fold. Measures of geographic variation indicated a relatively high degree of geographic variation. (ii) there was a statistically significant relationship between genetic testing rates and per capita supply of general practitioners, radiotherapists and surgeons (negative correlation for the latter); lower genetic testing rates were also associated with higher local poverty rates. French policymakers should pursue effort toward deprived areas to obtain equal access to personalized medicine for advanced NSCLC patients.
在这篇文章中,我们研究了个性化基因检测在晚期非小细胞肺癌(NSCLC)中的应用的地域差异,并评估了基因检测率与当地社会经济和生态变量之间的关系。我们使用了 IFCT Biomarqueurs-France 研究(n = 15814)中 2012 年 4 月至 2013 年 4 月期间法国所有接受基因检测的晚期 NSCLC 患者的数据。我们计算了四个既定的性别调整基因检测利用度的地域变异测量指标,其测量指标在“département”(法国领土分为 94 个行政单位,称为“département”)级别。我们还进行了空间回归模型,以确定部门层面性别调整基因检测利用率与经济和生态变量之间的关系。我们的研究结果如下:(i)总体而言,46.87%的肺癌入院患者接受了 NSCLC 的基因检测;部门层面的利用度差异超过了 3.2 倍。地域变异的测量指标表明存在相对较高程度的地域变异。(ii)基因检测率与普通医生、放射治疗师和外科医生的人均供应量之间存在统计学上显著的关系(后者呈负相关);较低的基因检测率也与较高的地方贫困率有关。法国政策制定者应努力为贫困地区提供服务,以使晚期 NSCLC 患者能够平等获得个性化医疗。