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A novel method for measuring the burden of breast cancer in neighborhoods

Community-based breast cancer prevention efforts often focus on women who live in the same neighborhoods, as they tend to have similar demographic characteristics, health behaviors, and environmental exposures; yet little research describes methods of selecting neighborhoods of focus for community-b...

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Detalles Bibliográficos
Autores principales: McIntire, Russell K, Juon, Hee-Soon, Keith, Scott W., Simone, Nicole L., Waters, Dexter, Lewis, Eleanor, Zeigler-Johnson, Charnita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201825/
https://www.ncbi.nlm.nih.gov/pubmed/37223584
http://dx.doi.org/10.1016/j.pmedr.2023.102218
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author McIntire, Russell K
Juon, Hee-Soon
Keith, Scott W.
Simone, Nicole L.
Waters, Dexter
Lewis, Eleanor
Zeigler-Johnson, Charnita
author_facet McIntire, Russell K
Juon, Hee-Soon
Keith, Scott W.
Simone, Nicole L.
Waters, Dexter
Lewis, Eleanor
Zeigler-Johnson, Charnita
author_sort McIntire, Russell K
collection PubMed
description Community-based breast cancer prevention efforts often focus on women who live in the same neighborhoods, as they tend to have similar demographic characteristics, health behaviors, and environmental exposures; yet little research describes methods of selecting neighborhoods of focus for community-based cancer prevention interventions. Studies frequently use demographics from census data, or single breast cancer outcomes (e.g., mortality, morbidity) in order to choose neighborhoods of focus for breast cancer interventions, which may not be optimal. This study presents a novel method for measuring the burden of breast cancer among neighborhoods that could be used for selecting neighborhoods of focus. In this study, we 1) calculate a metric composed of multiple breast cancer outcomes to describe the burden of breast cancer in census tracts Philadelphia, PA, USA; 2) map the neighborhoods with the greatest breast cancer burden; and 3) compare census tracts with the highest burden of breast cancer to those with demographics sometimes used for geo-based prioritization, i.e., race and income. The results of our study showed that race or income may not be appropriate proxies for neighborhood breast cancer burden; comparing the breast cancer burden with demographics at the census tract level, we found few overlaps with the highest percentage African American or the lowest median incomes. Agencies implementing community-based breast cancer interventions should consider this method to inform the selection of neighborhoods for breast cancer prevention interventions, including education, screening, and treatment.
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spelling pubmed-102018252023-05-23 A novel method for measuring the burden of breast cancer in neighborhoods McIntire, Russell K Juon, Hee-Soon Keith, Scott W. Simone, Nicole L. Waters, Dexter Lewis, Eleanor Zeigler-Johnson, Charnita Prev Med Rep Regular Article Community-based breast cancer prevention efforts often focus on women who live in the same neighborhoods, as they tend to have similar demographic characteristics, health behaviors, and environmental exposures; yet little research describes methods of selecting neighborhoods of focus for community-based cancer prevention interventions. Studies frequently use demographics from census data, or single breast cancer outcomes (e.g., mortality, morbidity) in order to choose neighborhoods of focus for breast cancer interventions, which may not be optimal. This study presents a novel method for measuring the burden of breast cancer among neighborhoods that could be used for selecting neighborhoods of focus. In this study, we 1) calculate a metric composed of multiple breast cancer outcomes to describe the burden of breast cancer in census tracts Philadelphia, PA, USA; 2) map the neighborhoods with the greatest breast cancer burden; and 3) compare census tracts with the highest burden of breast cancer to those with demographics sometimes used for geo-based prioritization, i.e., race and income. The results of our study showed that race or income may not be appropriate proxies for neighborhood breast cancer burden; comparing the breast cancer burden with demographics at the census tract level, we found few overlaps with the highest percentage African American or the lowest median incomes. Agencies implementing community-based breast cancer interventions should consider this method to inform the selection of neighborhoods for breast cancer prevention interventions, including education, screening, and treatment. 2023-04-26 /pmc/articles/PMC10201825/ /pubmed/37223584 http://dx.doi.org/10.1016/j.pmedr.2023.102218 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
McIntire, Russell K
Juon, Hee-Soon
Keith, Scott W.
Simone, Nicole L.
Waters, Dexter
Lewis, Eleanor
Zeigler-Johnson, Charnita
A novel method for measuring the burden of breast cancer in neighborhoods
title A novel method for measuring the burden of breast cancer in neighborhoods
title_full A novel method for measuring the burden of breast cancer in neighborhoods
title_fullStr A novel method for measuring the burden of breast cancer in neighborhoods
title_full_unstemmed A novel method for measuring the burden of breast cancer in neighborhoods
title_short A novel method for measuring the burden of breast cancer in neighborhoods
title_sort novel method for measuring the burden of breast cancer in neighborhoods
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201825/
https://www.ncbi.nlm.nih.gov/pubmed/37223584
http://dx.doi.org/10.1016/j.pmedr.2023.102218
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