Caposole Michael Z, Miller Kaylee, Kim Jehovah-Nissi, Steward Nancy A, Bauer Thomas L
Department of Thoracic Surgery, Christiana Care Health System (CCHS), PO Box 1668, Wilmington, DE 19899, USA; Helen F. Graham Cancer Center and Research Institute, Christiana Care Health System (CCHS), PO Box 1668, Wilmington, DE 19899, USA.
Department of Thoracic Surgery, Christiana Care Health System (CCHS), PO Box 1668, Wilmington, DE 19899, USA; Helen F. Graham Cancer Center and Research Institute, Christiana Care Health System (CCHS), PO Box 1668, Wilmington, DE 19899, USA; The Value Institute, Christiana Care Health System (CCHS), PO Box 1668, Wilmington, DE 19899, USA.
Surg Oncol. 2014 Jun;23(2):46-52. doi: 10.1016/j.suronc.2014.02.001. Epub 2014 Feb 20.
Healthcare disparities have afflicted the healthcare industry for decades and there have been many campaigns in recent years to identify and eliminate disparities. The purpose of this study was to identify disparities in the lung cancer population of a single community cancer center and to report the results in accordance with industry goals.
This was a retrospective cohort study of data on non-small cell lung cancer patients recorded in the Christiana Care Tumor Registry (CCTR) in Delaware. Gender, age, race, socioeconomic status and insurance status were used as potential variables in identifying disparities.
We found no significant disparities between sexes, race or patients who were classified as having socioeconomic status 1-3. There was a lower survival rate associated with having the poorest socioeconomic status and in patients who used Medicare. Uninsured patients had the best survival outcomes and patients with Medicare had the poorest survival outcomes.
Although we have closed the gap on sex and racial disparities, there remains a difference in survival outcomes across socioeconomic classes and insurance types.
医疗保健差异困扰医疗行业数十年，近年来开展了许多活动来识别和消除差异。本研究的目的是确定单一社区癌症中心肺癌患者群体中的差异，并根据行业目标报告结果。
这是一项对特拉华州克里斯蒂安娜护理肿瘤登记处（CCTR）记录的非小细胞肺癌患者数据的回顾性队列研究。性别、年龄、种族、社会经济地位和保险状况被用作识别差异的潜在变量。
我们发现性别、种族或社会经济地位分类为1-3级的患者之间没有显著差异。社会经济地位最差的患者以及使用医疗保险的患者生存率较低。未参保患者的生存结果最佳，而使用医疗保险的患者生存结果最差。
尽管我们已经缩小了性别和种族差异的差距，但社会经济阶层和保险类型之间的生存结果仍存在差异。
