Division of Epidemiology and Social Sciences, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA.
Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA.
J Natl Cancer Inst. 2023 Jun 8;115(6):652-661. doi: 10.1093/jnci/djad034.
Breast cancer (BC) is the most common cancer among US women, and institutional racism is a critical cause of health disparities. We investigated impacts of historical redlining on BC treatment receipt and survival in the United States.
Home Owners' Loan Corporation (HOLC) boundaries were used to measure historical redlining. Eligible women in the 2010-2017 Surveillance, Epidemiology, and End Results-Medicare BC cohort were assigned a HOLC grade. The independent variable was a dichotomized HOLC grade: A and B (nonredlined) and C and D (redlined). Outcomes of receipt of various cancer treatments, all-cause mortality (ACM), and BC-specific mortality (BCSM) were analyzed using logistic or Cox models. Indirect effects by comorbidity were examined.
Among 18 119 women, 65.7% resided in historically redlined areas (HRAs), and 32.6% were deceased at a median follow-up of 58 months. A larger proportion of deceased women resided in HRAs (34.5% vs 30.0%). Of all deceased women, 41.6% died of BC; a larger proportion resided in HRAs (43.4% vs 37.8%). Historical redlining is a statistically significant predictor of poorer survival after BC diagnosis (hazard ratio = 1.09, 95% confidence interval [CI] = 1.03 to 1.15 for ACM, and hazard ratio = 1.26, 95% CI = 1.13 to 1.41 for BCSM). Indirect effects via comorbidity were identified. Historical redlining was associated with a lower likelihood of receiving surgery (odds ratio = 0.74, 95% CI = 0.66 to 0.83, and a higher likelihood of receiving palliative care odds ratio = 1.41, 95% CI = 1.04 to 1.91).
Historical redlining is associated with differential treatment receipt and poorer survival for ACM and BCSM. Relevant stakeholders should consider historical contexts when designing and implementing equity-focused interventions to reduce BC disparities. Clinicians should advocate for healthier neighborhoods while providing care.
乳腺癌(BC)是美国女性中最常见的癌症,制度性种族主义是造成健康差距的一个关键原因。我们研究了历史上的红线划定对美国 BC 治疗的影响。
使用房主贷款公司(HOLC)的边界来衡量历史上的红线划定。2010-2017 年监测、流行病学和最终结果-医疗保险 BC 队列中的合格女性被分配到 HOLC 等级。自变量是二分 HOLC 等级:A 和 B(非红线划定)和 C 和 D(红线划定)。使用逻辑或 Cox 模型分析接受各种癌症治疗、全因死亡率(ACM)和 BC 特异性死亡率(BCSM)的情况。还检查了合并症的间接影响。
在 18119 名女性中,65.7%居住在历史上的红线划定区域(HRAs),32.6%在中位随访 58 个月时死亡。死亡女性中更大比例居住在 HRAs(34.5%比 30.0%)。所有死亡女性中,41.6%死于 BC;居住在 HRAs 的比例更大(43.4%比 37.8%)。历史上的红线划定是 BC 诊断后生存率较差的一个统计学上显著的预测因素(ACM 的风险比=1.09,95%置信区间[CI]为 1.03 至 1.15,BCSM 的风险比=1.26,95%CI 为 1.13 至 1.41)。通过合并症确定了间接影响。历史上的红线划定与手术接受率降低相关(比值比=0.74,95%CI=0.66 至 0.83,姑息治疗接受率升高的比值比=1.41,95%CI=1.04 至 1.91)。
历史上的红线划定与 ACM 和 BCSM 的治疗效果和生存率较差有关。相关利益相关者在设计和实施以减少 BC 差异为重点的公平干预措施时,应考虑历史背景。临床医生在提供护理的同时,应倡导更健康的社区。