Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022

Author:

Guadamuz Jenny S123ORCID,Wang Xiaoliang1,Ryals Cleo A1,Miksad Rebecca A14,Snider Jeremy1,Walters James1,Calip Gregory S13ORCID

Affiliation:

1. Flatiron Health , New York, NY, USA

2. Division of Health Policy and Management, University of California, Berkeley, School of Public Health , Berkeley, CA, USA

3. Program on Medicines and Public Health, University of Southern California School of Pharmacy , Los Angeles, CA, USA

4. Department of Hematology and Oncology, Boston University School of Medicine , Boston, MA, USA

Abstract

Abstract Background Lower neighborhood socioeconomic status (SES) is associated with suboptimal cancer care and reduced survival. Most studies examining cancer inequities across area-level socioeconomic status tend to use less granular or unidimensional measures and pre-date the COVID-19 pandemic. Here, we examined the association of area-level socioeconomic status on real-world treatment initiation and overall survival among adults with 20 common cancers. Methods This retrospective cohort study used electronic health record–derived deidentified data (Flatiron Health Research Database, 2011-2022) linked to US Census Bureau data from the American Community Survey (2015-2019). Area-level socioeconomic status quintiles (based on a measure incorporating income, home values, rental costs, poverty, blue-collar employment, unemployment, and education information) were computed from the US population and applied to patients based on their mailing address. Associations were examined using Cox proportional hazards models adjusted for diagnosis year, age, sex, performance status, stage, and cancer type. Results This cohort included 291 419 patients (47.7% female; median age = 68 years). Patients from low–SES areas were younger and more likely to be Black (21.9% vs 3.3%) or Latinx (8.4% vs 3.0%) than those in high–SES areas. Living in low–SES areas (vs high) was associated with lower treatment rates (hazard ratio = 0.94 [95% confidence interval = 0.93 to 0.95]) and reduced survival (median real-world overall survival = 21.4 vs 29.5 months, hazard ratio = 1.20 [95% confidence interval = 1.18 to 1.22]). Treatment and survival inequities were observed in 9 and 19 cancer types, respectively. Area-level socioeconomic inequities in treatment and survival remained statistically significant in the COVID-19 era (after March 2020). Conclusion To reduce inequities in cancer outcomes, efforts that target marginalized, low–socioeconomic status neighborhoods are necessary.

Funder

Flatiron Health, Inc

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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