Medical College of Wisconsin
CTSIResearch InformaticsREDCap

New spatially continuous indices of redlining and racial bias in mortgage lending: links to survival after breast cancer diagnosis and implications for health disparities research. Health Place 2016 Jul;40:34-43

Date

05/14/2016

Pubmed ID

27173381

DOI

10.1016/j.healthplace.2016.04.014

Scopus ID

2-s2.0-84965079070 (requires institutional sign-in at Scopus site)   119 Citations

Abstract

Racial health disparities continue to be a serious problem in the United States and have been linked to contextual factors, including racial segregation. In some cases, including breast cancer survival, racial disparities appear to be worsening. Using the Home Mortgage Disclosure Act (HMDA) database, we extend current spatial analysis methodology to derive new, spatially continuous indices of (1) racial bias in mortgage lending and (2) redlining. We then examine spatial patterns of these indices and the association between these new measures and breast cancer survival among Black/African American women in the Milwaukee, Wisconsin metropolitan area. These new measures can be used to examine relationships between mortgage discrimination and patterns of disease throughout the United States.

Author List

Beyer KM, Zhou Y, Matthews K, Bemanian A, Laud PW, Nattinger AB

Authors

Amin Bemanian in the CTSI department at Medical College of Wisconsin - CTSI
Kirsten M. Beyer PhD, MPH Professor in the Institute for Health and Humanity department at Medical College of Wisconsin
Purushottam W. Laud PhD Adjunct Professor in the Data Science Institute department at Medical College of Wisconsin
Ann B. Nattinger MD, MPH Associate Provost, Professor in the Medicine department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Breast Neoplasms
Cancer Survivors
Female
Health Status Disparities
Housing
Humans
Racism
Research
Residence Characteristics
Socioeconomic Factors
Spatial Analysis
Wisconsin