Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
Dana Farber Cancer Institute-ECOG-ACRIN Biostatistics Center, Boston, MA, USA.
Cancer Med. 2021 Jan;10(1):45-52. doi: 10.1002/cam4.3542. Epub 2020 Dec 2.
The objective of this study was to evaluate the impact of insurance and neighborhood SES (nSES) on chemotherapy completion and overall mortality among participants in breast cancer clinical trials. The data sources for this study were two adjuvant breast cancer trials (ECOG E1199 and E5103) collectively including 9790 women. Insurance status at trial registration was categorized into private, government (Medicaid, Medicare, and other government type insurance), and self-pay. An Agency for Healthcare Research Quality (AHRQ) nSES index was calculated using residential zip codes linked to county level data on occupation, income, poverty, wealth, education, and crowding. Logistic regression and Cox Proportional Hazard models estimated odds ratios (OR) for chemotherapy treatment completion and hazard ratios (HR) for mortality, respectively, for insurance status and nSES. The models adjusted for: race, age, tumor size, nodal status, hormone receptor status, and primary surgery. The majority of patients had private insurance at trial registration: E1199: 85.6% (4154/4854) and E5103: 82.4% (3987/4836); median SES index was 53.8 (range: 41.8-66.8) and 54.1 (range: 44.5-66.1), respectively. Patients with government insurance were less likely to complete chemotherapy treatment (E1199 OR (95%CI): 0.73 (0.57-0.94); E5103 0.76 (0.64-0.91)) and had an increased risk of death (E1199 HR (95%CI): 1.44 (1.22-1.70); E5103 1.29 (1.06-1.58)) compared to the privately insured patients. There was no association between nSES and chemotherapy completion or overall mortality. Patients with government insurance at trial registration appeared to face barriers in chemotherapy completion and had a higher overall mortality compared to their privately insured counterparts.
本研究旨在评估保险和邻里社会经济地位(nSES)对乳腺癌临床试验参与者完成化疗和总死亡率的影响。本研究的数据来源于两项辅助乳腺癌试验(ECOG E1199 和 E5103),共纳入 9790 名女性。试验注册时的保险状况分为私人保险、政府保险(医疗补助、医疗保险和其他政府类型保险)和自费。使用与县一级职业、收入、贫困、财富、教育和拥挤程度数据相链接的住宅邮政编码计算了医疗保健研究质量局(AHRQ)nSES 指数。逻辑回归和 Cox 比例风险模型分别估计了保险状况和 nSES 对化疗治疗完成的比值比(OR)和死亡率的风险比(HR)。模型调整了种族、年龄、肿瘤大小、淋巴结状态、激素受体状态和主要手术。大多数患者在试验注册时拥有私人保险:E1199:85.6%(4154/4854)和 E5103:82.4%(3987/4836);中位 SES 指数分别为 53.8(范围:41.8-66.8)和 54.1(范围:44.5-66.1)。拥有政府保险的患者完成化疗治疗的可能性较低(E1199 OR(95%CI):0.73(0.57-0.94);E5103 0.76(0.64-0.91)),并且死亡风险增加(E1199 HR(95%CI):1.44(1.22-1.70);E5103 1.29(1.06-1.58))与私人保险患者相比。nSES 与化疗完成或总死亡率之间没有关联。试验注册时拥有政府保险的患者在完成化疗方面似乎面临障碍,并且与私人保险患者相比,总死亡率更高。