1. Mortgage Lending Bias and Breast Cancer Survival Among Older Women in the United States
- Author
-
Nicole Rademacher, Tina W.F. Yen, Kirsten M. M. Beyer, Sara Beltrán Ponce, Purushottam W. Laud, Emily L. McGinley, Ann B. Nattinger, Sima Namin, Jamila L. Kwarteng, Courtney Jankowski, and Yuhong Zhou
- Subjects
Cancer Research ,MEDLINE ,Breast Neoplasms ,Comorbidity ,Medicare ,Cohort Studies ,03 medical and health sciences ,Racism ,0302 clinical medicine ,Breast cancer ,Residence Characteristics ,Ethnicity ,medicine ,Humans ,Redlining ,030212 general & internal medicine ,Aged ,Aged, 80 and over ,business.industry ,Health Status Disparities ,Prognosis ,medicine.disease ,United States ,Survival Rate ,Oncology ,030220 oncology & carcinogenesis ,Housing ,Female ,business ,Follow-Up Studies ,Demography - Abstract
PURPOSE The objective was to examine the relationship between contemporary redlining (mortgage lending bias on the basis of property location) and survival among older women with breast cancer in the United States. METHODS A redlining index using Home Mortgage Disclosure Act data (2007-2013) was linked by census tract with a SEER-Medicare cohort of 27,516 women age 66-90 years with an initial diagnosis of stage I-IV breast cancer in 2007-2009 and follow-up through 2015. Cox proportional hazards models were used to examine the relationship between redlining and both all-cause and breast cancer–specific mortality, accounting for covariates. RESULTS Overall, 34% of non-Hispanic White, 57% of Hispanic, and 79% of non-Hispanic Black individuals lived in redlined tracts. As the redlining index increased, women experienced poorer survival. This effect was strongest for women with no comorbid conditions, who comprised 54% of the sample. For redlining index values of 1 (low), 2 (moderate), and 3 (high), as compared with 0.5 (least), hazard ratios (HRs) (and 95% CIs) for all-cause mortality were HR = 1.10 (1.06 to 1.14), HR = 1.27 (1.17 to 1.38), and HR = 1.39 (1.25 to 1.55), respectively, among women with no comorbidities. A similar pattern was found for breast cancer–specific mortality. CONCLUSION Contemporary redlining is associated with poorer breast cancer survival. The impact of this bias is emphasized by the pronounced effect even among women with health insurance (Medicare) and no comorbid conditions. The magnitude of this neighborhood level effect demands an increased focus on upstream determinants of health to support comprehensive patient care. The housing sector actively reveals structural racism and economic disinvestment and is an actionable policy target to mitigate adverse upstream health determinants for the benefit of patients with cancer.
- Published
- 2021