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Variations in breast cancer surgical treatment and timing: determinants and disparities

PURPOSE: To describe clinical and non-clinical factors associated with receipt of breast conserving surgery (BCS) versus mastectomy and time to surgical intervention. METHODS: Cross-sectional retrospective study of January 1, 2012 through March 31, 2018 data from the IBM MarketScan Commercial Claims...

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Autores principales: Dankwa-Mullan, Irene, George, Judy, Roebuck, M. Christopher, Tkacz, Joseph, Willis, Van C, Reyes, Fredy, Arriaga, Yull E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233284/
https://www.ncbi.nlm.nih.gov/pubmed/33689057
http://dx.doi.org/10.1007/s10549-021-06155-1
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author Dankwa-Mullan, Irene
George, Judy
Roebuck, M. Christopher
Tkacz, Joseph
Willis, Van C
Reyes, Fredy
Arriaga, Yull E.
author_facet Dankwa-Mullan, Irene
George, Judy
Roebuck, M. Christopher
Tkacz, Joseph
Willis, Van C
Reyes, Fredy
Arriaga, Yull E.
author_sort Dankwa-Mullan, Irene
collection PubMed
description PURPOSE: To describe clinical and non-clinical factors associated with receipt of breast conserving surgery (BCS) versus mastectomy and time to surgical intervention. METHODS: Cross-sectional retrospective study of January 1, 2012 through March 31, 2018 data from the IBM MarketScan Commercial Claims and Encounter and Medicare Supplemental Databases. Area Health Resource Files provided non-clinical characteristics and sociodemographic data. Eligibility: Female sex, claim(s) with ICD-9-CM or ICD-10-CM diagnosis of non-metastatic invasive breast cancer, > 6 months of continuous insurance pre- and post-diagnosis, evidence of BCS or mastectomy following initial ICD9/10 code diagnosis. Logistic and quantile multivariable regression models assessed the association between clinical and non-clinical factors and the outcome of BCS and time to surgery, respectively. RESULTS: A total of 53,060 women were included in the study. Compared to mastectomy, BCS was significantly associated with older age (ORs: 1.54 to 2.99, 95% CIs 1.45 to 3.38; ps < .0001) and higher community density of medical genetics (OR: 5.88, 95% CIs 1.38 to 25.00; p = 0.02) or obstetrics and gynecology (OR: 1.13, 95% CI 1.02 to 1.25; p = .02) physicians. Shorter time-to-BCS was associated with living in the South (−2.96, 95% CI −4.39 to −1.33; p < .0001). Longer time-to-BCS was associated with residence in more urban (4.18, 95% CI 0.08 to 8.29; p = 0. 05), educated (9.02, 95% CI 0.13 to 17.91; p = 0.05), or plastic-surgeon-dense (4.62, 95% CI 0.50 to 8.73; p = 0.03) communities. CONCLUSIONS: Clinical and non-clinical factors are associated with adoption of BCS and time to treatment, suggesting opportunities to ensure equitable and timely care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-021-06155-1.
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spelling pubmed-82332842021-07-09 Variations in breast cancer surgical treatment and timing: determinants and disparities Dankwa-Mullan, Irene George, Judy Roebuck, M. Christopher Tkacz, Joseph Willis, Van C Reyes, Fredy Arriaga, Yull E. Breast Cancer Res Treat Epidemiology PURPOSE: To describe clinical and non-clinical factors associated with receipt of breast conserving surgery (BCS) versus mastectomy and time to surgical intervention. METHODS: Cross-sectional retrospective study of January 1, 2012 through March 31, 2018 data from the IBM MarketScan Commercial Claims and Encounter and Medicare Supplemental Databases. Area Health Resource Files provided non-clinical characteristics and sociodemographic data. Eligibility: Female sex, claim(s) with ICD-9-CM or ICD-10-CM diagnosis of non-metastatic invasive breast cancer, > 6 months of continuous insurance pre- and post-diagnosis, evidence of BCS or mastectomy following initial ICD9/10 code diagnosis. Logistic and quantile multivariable regression models assessed the association between clinical and non-clinical factors and the outcome of BCS and time to surgery, respectively. RESULTS: A total of 53,060 women were included in the study. Compared to mastectomy, BCS was significantly associated with older age (ORs: 1.54 to 2.99, 95% CIs 1.45 to 3.38; ps < .0001) and higher community density of medical genetics (OR: 5.88, 95% CIs 1.38 to 25.00; p = 0.02) or obstetrics and gynecology (OR: 1.13, 95% CI 1.02 to 1.25; p = .02) physicians. Shorter time-to-BCS was associated with living in the South (−2.96, 95% CI −4.39 to −1.33; p < .0001). Longer time-to-BCS was associated with residence in more urban (4.18, 95% CI 0.08 to 8.29; p = 0. 05), educated (9.02, 95% CI 0.13 to 17.91; p = 0.05), or plastic-surgeon-dense (4.62, 95% CI 0.50 to 8.73; p = 0.03) communities. CONCLUSIONS: Clinical and non-clinical factors are associated with adoption of BCS and time to treatment, suggesting opportunities to ensure equitable and timely care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-021-06155-1. Springer US 2021-03-10 2021 /pmc/articles/PMC8233284/ /pubmed/33689057 http://dx.doi.org/10.1007/s10549-021-06155-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Epidemiology
Dankwa-Mullan, Irene
George, Judy
Roebuck, M. Christopher
Tkacz, Joseph
Willis, Van C
Reyes, Fredy
Arriaga, Yull E.
Variations in breast cancer surgical treatment and timing: determinants and disparities
title Variations in breast cancer surgical treatment and timing: determinants and disparities
title_full Variations in breast cancer surgical treatment and timing: determinants and disparities
title_fullStr Variations in breast cancer surgical treatment and timing: determinants and disparities
title_full_unstemmed Variations in breast cancer surgical treatment and timing: determinants and disparities
title_short Variations in breast cancer surgical treatment and timing: determinants and disparities
title_sort variations in breast cancer surgical treatment and timing: determinants and disparities
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233284/
https://www.ncbi.nlm.nih.gov/pubmed/33689057
http://dx.doi.org/10.1007/s10549-021-06155-1
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