Ontology highlight
ABSTRACT: Background
Prior work assessing disparities in cancer outcomes has relied on regional socioeconomic metrics. These metrics average data across many individuals, resulting in a loss of granularity and confounding with other regional factors.Methods
Using patients' addresses at the time of diagnosis from the Ohio Cancer Incidence Surveillance System, we retrieved individual home price estimates from an online real estate marketplace. This individual-level estimate was compared with the Area Deprivation Index (ADI) at the census block group level. Multivariable Cox proportional hazards models were used to determine the relationship between home price estimates and all-cause and cancer-specific mortality.Results
A total of 667 277 patients in Ohio Cancer Incidence Surve
SUBMITTER: Zhu A
PROVIDER: S-EPMC10646779 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature