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Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582690/ https://www.ncbi.nlm.nih.gov/pubmed/37707536 http://dx.doi.org/10.1093/jncics/pkad058 |
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author | Guadamuz, Jenny S Wang, Xiaoliang Ryals, Cleo A Miksad, Rebecca A Snider, Jeremy Walters, James Calip, Gregory S |
author_facet | Guadamuz, Jenny S Wang, Xiaoliang Ryals, Cleo A Miksad, Rebecca A Snider, Jeremy Walters, James Calip, Gregory S |
author_sort | Guadamuz, Jenny S |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10582690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105826902023-10-19 Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022 Guadamuz, Jenny S Wang, Xiaoliang Ryals, Cleo A Miksad, Rebecca A Snider, Jeremy Walters, James Calip, Gregory S JNCI Cancer Spectr Article 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. Oxford University Press 2023-09-14 /pmc/articles/PMC10582690/ /pubmed/37707536 http://dx.doi.org/10.1093/jncics/pkad058 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Article Guadamuz, Jenny S Wang, Xiaoliang Ryals, Cleo A Miksad, Rebecca A Snider, Jeremy Walters, James Calip, Gregory S Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022 |
title | Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022 |
title_full | Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022 |
title_fullStr | Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022 |
title_full_unstemmed | Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022 |
title_short | Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022 |
title_sort | socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582690/ https://www.ncbi.nlm.nih.gov/pubmed/37707536 http://dx.doi.org/10.1093/jncics/pkad058 |
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