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Development of a key performance indicator for breast cancer in Queensland, Australia
PURPOSE: Using population-based data for women diagnosed with stage I-III breast cancer, our aim was to examine the impact of time to treatment completion on survival and to identify factors associated with treatment delay. METHODS: This retrospective study used clinical and treatment data from the...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823022/ https://www.ncbi.nlm.nih.gov/pubmed/36350472 http://dx.doi.org/10.1007/s10549-022-06796-w |
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author | Walpole, Euan T. Youl, Philippa H. Moore, Julie Morris, Michelle Cossio, Danica Dhanda, Pardeep Theile, David E. Philpot, Shoni |
author_facet | Walpole, Euan T. Youl, Philippa H. Moore, Julie Morris, Michelle Cossio, Danica Dhanda, Pardeep Theile, David E. Philpot, Shoni |
author_sort | Walpole, Euan T. |
collection | PubMed |
description | PURPOSE: Using population-based data for women diagnosed with stage I-III breast cancer, our aim was to examine the impact of time to treatment completion on survival and to identify factors associated with treatment delay. METHODS: This retrospective study used clinical and treatment data from the Queensland Oncology Repository. Time from diagnosis to completing surgery, chemotherapy and radiation therapy identified a cut-off of 37 weeks as the optimal threshold for completing treatment. Logistic regression was used to identify factors associated with the likelihood of completing treatment > 37 weeks. Overall (OS) and breast cancer-specific survival (BCSS) were examined using Cox proportional hazards models. RESULTS: Of 8279 women with stage I-III breast cancer, 31.9% completed treatment > 37 weeks. Apart from several clinical factors, being Indigenous (p = 0.002), living in a disadvantaged area (p = 0.003) and receiving ≥ two treatment modalities within the public sector (p < 0.001) were associated with an increased likelihood of completing treatment > 37 weeks. The risk of death from any cause was about 40% higher for women whose treatment went beyond 37 weeks (HR 1.37, 95%CI 1.16–1.61), a similar result was observed for BCSS. Using the surgery + chemotherapy + radiation pathway, a delay of > 6.9 weeks from surgery to starting chemotherapy was significantly associated with poorer survival (p = 0.001). CONCLUSIONS: Several sociodemographic and system-related factors were associated with a greater likelihood of treatment completion > 37 weeks. We are proposing a key performance indicator for the management of early breast cancer where a facility should have > 90% of patients with a time from surgery to adjuvant chemotherapy < 6.9 weeks. |
format | Online Article Text |
id | pubmed-9823022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-98230222023-01-08 Development of a key performance indicator for breast cancer in Queensland, Australia Walpole, Euan T. Youl, Philippa H. Moore, Julie Morris, Michelle Cossio, Danica Dhanda, Pardeep Theile, David E. Philpot, Shoni Breast Cancer Res Treat Epidemiology PURPOSE: Using population-based data for women diagnosed with stage I-III breast cancer, our aim was to examine the impact of time to treatment completion on survival and to identify factors associated with treatment delay. METHODS: This retrospective study used clinical and treatment data from the Queensland Oncology Repository. Time from diagnosis to completing surgery, chemotherapy and radiation therapy identified a cut-off of 37 weeks as the optimal threshold for completing treatment. Logistic regression was used to identify factors associated with the likelihood of completing treatment > 37 weeks. Overall (OS) and breast cancer-specific survival (BCSS) were examined using Cox proportional hazards models. RESULTS: Of 8279 women with stage I-III breast cancer, 31.9% completed treatment > 37 weeks. Apart from several clinical factors, being Indigenous (p = 0.002), living in a disadvantaged area (p = 0.003) and receiving ≥ two treatment modalities within the public sector (p < 0.001) were associated with an increased likelihood of completing treatment > 37 weeks. The risk of death from any cause was about 40% higher for women whose treatment went beyond 37 weeks (HR 1.37, 95%CI 1.16–1.61), a similar result was observed for BCSS. Using the surgery + chemotherapy + radiation pathway, a delay of > 6.9 weeks from surgery to starting chemotherapy was significantly associated with poorer survival (p = 0.001). CONCLUSIONS: Several sociodemographic and system-related factors were associated with a greater likelihood of treatment completion > 37 weeks. We are proposing a key performance indicator for the management of early breast cancer where a facility should have > 90% of patients with a time from surgery to adjuvant chemotherapy < 6.9 weeks. Springer US 2022-11-09 2023 /pmc/articles/PMC9823022/ /pubmed/36350472 http://dx.doi.org/10.1007/s10549-022-06796-w Text en © Crown 2022 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 Walpole, Euan T. Youl, Philippa H. Moore, Julie Morris, Michelle Cossio, Danica Dhanda, Pardeep Theile, David E. Philpot, Shoni Development of a key performance indicator for breast cancer in Queensland, Australia |
title | Development of a key performance indicator for breast cancer in Queensland, Australia |
title_full | Development of a key performance indicator for breast cancer in Queensland, Australia |
title_fullStr | Development of a key performance indicator for breast cancer in Queensland, Australia |
title_full_unstemmed | Development of a key performance indicator for breast cancer in Queensland, Australia |
title_short | Development of a key performance indicator for breast cancer in Queensland, Australia |
title_sort | development of a key performance indicator for breast cancer in queensland, australia |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823022/ https://www.ncbi.nlm.nih.gov/pubmed/36350472 http://dx.doi.org/10.1007/s10549-022-06796-w |
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