Department of Health Law, Policy and Management, Boston University, Boston, Massachusetts.
College of Business, The University of Texas at San Antonio, San Antonio, Texas.
J Rural Health. 2018 Feb;34 Suppl 1(Suppl 1):s91-s103. doi: 10.1111/jrh.12226. Epub 2017 Jan 19.
Despite being generally accepted that delays in diagnosing breast cancer are of prognostic and psychological concern, the influence of hospital characteristics on such delays remains poorly understood, especially in rural and underserved areas. However, hospital characteristics have been tied to greater efficiency and warrant further investigation as they may have implications for breast cancer care in these areas.
Study data were derived from the Kentucky, North Carolina, Ohio, and Pennsylvania state central cancer registries (2006-2008). We then linked Medicare enrollment files and claims data (2005-2009), the Area Resource File (2006-2008), and the American Hospital Association Annual Survey of Hospitals (2007) to create an integrated data set. Hierarchical linear modeling was used to regress the natural log of breast cancer diagnosis delay on a number of hospital-level, demographic, and clinical characteristics.
The baseline study sample consisted of 4,547 breast cancer patients enrolled in Medicare that lived in Appalachian counties at the time of diagnosis. We found that hospitals with for-profit ownership (P < .01) had shorter diagnosis delays than their counterparts. Estimates for comprehensive oncology services, system membership and size were not statistically significant at conventional levels.
Some structural characteristics of hospitals (eg, for-profit ownership) in the Appalachian region are associated with having shorter delays in diagnosing breast cancer. Researchers and practitioners must go beyond examining patient-level demographic and tumor characteristics to better understand the drivers of timely cancer diagnosis, especially in rural and underserved areas.
尽管人们普遍认为乳腺癌诊断延迟具有预后和心理方面的影响,但医院特征对这种延迟的影响仍知之甚少,尤其是在农村和服务不足的地区。然而,医院特征与更高的效率有关,值得进一步研究,因为它们可能对这些地区的乳腺癌护理产生影响。
研究数据来自肯塔基州、北卡罗来纳州、俄亥俄州和宾夕法尼亚州的州立癌症登记处(2006-2008 年)。然后,我们将医疗保险登记文件和索赔数据(2005-2009 年)、区域资源文件(2006-2008 年)和美国医院协会年度医院调查(2007 年)链接起来,创建了一个综合数据集。我们使用分层线性模型将乳腺癌诊断延迟的自然对数回归到许多医院层面、人口统计学和临床特征上。
基础研究样本包括 4547 名居住在诊断时阿巴拉契亚县的医疗保险乳腺癌患者。我们发现,营利性所有权的医院(P<.01)的诊断延迟比其对应医院短。综合肿瘤服务、系统成员和规模的估计在常规水平上没有统计学意义。
阿巴拉契亚地区医院的一些结构特征(例如,营利性所有权)与乳腺癌诊断延迟较短有关。研究人员和从业者必须超越检查患者层面的人口统计学和肿瘤特征,以更好地理解及时癌症诊断的驱动因素,尤其是在农村和服务不足的地区。