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Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer
The objective of this study was to evaluate the impact of insurance and neighborhood SES (nSES) on chemotherapy completion and overall mortality among participants in breast cancer clinical trials. The data sources for this study were two adjuvant breast cancer trials (ECOG E1199 and E5103) collecti...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826479/ https://www.ncbi.nlm.nih.gov/pubmed/33264502 http://dx.doi.org/10.1002/cam4.3542 |
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author | Obeng‐Gyasi, Samilia O’Neill, Anne Zhao, Fengmin Kircher, Sheetal M. Lava, Timisina R. Wagner, Lynne I. Miller, Kathy D. Sparano, Joseph DA. Sledge, George W. Carlos, Ruth C. |
author_facet | Obeng‐Gyasi, Samilia O’Neill, Anne Zhao, Fengmin Kircher, Sheetal M. Lava, Timisina R. Wagner, Lynne I. Miller, Kathy D. Sparano, Joseph DA. Sledge, George W. Carlos, Ruth C. |
author_sort | Obeng‐Gyasi, Samilia |
collection | PubMed |
description | The objective of this study was to evaluate the impact of insurance and neighborhood SES (nSES) on chemotherapy completion and overall mortality among participants in breast cancer clinical trials. The data sources for this study were two adjuvant breast cancer trials (ECOG E1199 and E5103) collectively including 9790 women. Insurance status at trial registration was categorized into private, government (Medicaid, Medicare, and other government type insurance), and self‐pay. An Agency for Healthcare Research Quality (AHRQ) nSES index was calculated using residential zip codes linked to county level data on occupation, income, poverty, wealth, education, and crowding. Logistic regression and Cox Proportional Hazard models estimated odds ratios (OR) for chemotherapy treatment completion and hazard ratios (HR) for mortality, respectively, for insurance status and nSES. The models adjusted for: race, age, tumor size, nodal status, hormone receptor status, and primary surgery. The majority of patients had private insurance at trial registration: E1199: 85.6% (4154/4854) and E5103: 82.4% (3987/4836); median SES index was 53.8 (range: 41.8‐66.8) and 54.1 (range: 44.5‐66.1), respectively. Patients with government insurance were less likely to complete chemotherapy treatment (E1199 OR (95%CI): 0.73 (0.57‐0.94); E5103 0.76 (0.64‐0.91)) and had an increased risk of death (E1199 HR (95%CI): 1.44 (1.22‐1.70); E5103 1.29 (1.06‐1.58)) compared to the privately insured patients. There was no association between nSES and chemotherapy completion or overall mortality. Patients with government insurance at trial registration appeared to face barriers in chemotherapy completion and had a higher overall mortality compared to their privately insured counterparts. |
format | Online Article Text |
id | pubmed-7826479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78264792021-02-01 Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer Obeng‐Gyasi, Samilia O’Neill, Anne Zhao, Fengmin Kircher, Sheetal M. Lava, Timisina R. Wagner, Lynne I. Miller, Kathy D. Sparano, Joseph DA. Sledge, George W. Carlos, Ruth C. Cancer Med Clinical Cancer Research The objective of this study was to evaluate the impact of insurance and neighborhood SES (nSES) on chemotherapy completion and overall mortality among participants in breast cancer clinical trials. The data sources for this study were two adjuvant breast cancer trials (ECOG E1199 and E5103) collectively including 9790 women. Insurance status at trial registration was categorized into private, government (Medicaid, Medicare, and other government type insurance), and self‐pay. An Agency for Healthcare Research Quality (AHRQ) nSES index was calculated using residential zip codes linked to county level data on occupation, income, poverty, wealth, education, and crowding. Logistic regression and Cox Proportional Hazard models estimated odds ratios (OR) for chemotherapy treatment completion and hazard ratios (HR) for mortality, respectively, for insurance status and nSES. The models adjusted for: race, age, tumor size, nodal status, hormone receptor status, and primary surgery. The majority of patients had private insurance at trial registration: E1199: 85.6% (4154/4854) and E5103: 82.4% (3987/4836); median SES index was 53.8 (range: 41.8‐66.8) and 54.1 (range: 44.5‐66.1), respectively. Patients with government insurance were less likely to complete chemotherapy treatment (E1199 OR (95%CI): 0.73 (0.57‐0.94); E5103 0.76 (0.64‐0.91)) and had an increased risk of death (E1199 HR (95%CI): 1.44 (1.22‐1.70); E5103 1.29 (1.06‐1.58)) compared to the privately insured patients. There was no association between nSES and chemotherapy completion or overall mortality. Patients with government insurance at trial registration appeared to face barriers in chemotherapy completion and had a higher overall mortality compared to their privately insured counterparts. John Wiley and Sons Inc. 2020-12-02 /pmc/articles/PMC7826479/ /pubmed/33264502 http://dx.doi.org/10.1002/cam4.3542 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Cancer Research Obeng‐Gyasi, Samilia O’Neill, Anne Zhao, Fengmin Kircher, Sheetal M. Lava, Timisina R. Wagner, Lynne I. Miller, Kathy D. Sparano, Joseph DA. Sledge, George W. Carlos, Ruth C. Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer |
title | Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer |
title_full | Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer |
title_fullStr | Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer |
title_full_unstemmed | Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer |
title_short | Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer |
title_sort | impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer |
topic | Clinical Cancer Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826479/ https://www.ncbi.nlm.nih.gov/pubmed/33264502 http://dx.doi.org/10.1002/cam4.3542 |
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