Development of a key performance indicator for breast cancer in Queensland, Australia

Author:

Walpole Euan T.ORCID,Youl Philippa H.,Moore Julie,Morris Michelle,Cossio Danica,Dhanda Pardeep,Theile David E.,Philpot Shoni

Abstract

Abstract 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.

Funder

The University of Queensland

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

Reference24 articles.

1. Cancer Alliance Queensland (2021) Cancer in Queensland: A Statistical Overview 1982–2031, Annual update 2017. Queensland Health. https://cancerallianceqld.health.qld.gov.au. Accessed 27 Oct 2022

2. Walpole ET, Theile DE, Philpot S, Youl PH, for Cancer Alliance Q (2019) Development and implementation of a cancer quality index in Queensland, Australia: a tool for monitoring cancer care. J Oncol Pract 15:e636–e643. https://doi.org/10.1200/JOP.18.00372

3. Queensland Health (2020) The Partnership. Retrieved from Cancer Alliance Queensland. https://cancerallianceqld.health.qld.gov.au/cancer-alliance-queensland/. Accessed 27 Oct 2022

4. Queensland Health (2020) Terms of Reference. Cancer Alliance Queensland: https://cancerallianceqld.health.qld.gov.au/media/1887/terms-of-reference-qccsaq-qac.pdf. Accessed 27 Oct 2022

5. Brazda A, Estroff J, Euhus D, Leitch AM, Huth J, Andrews V, Moldrem A, Rao R (2010) Delays in time to treatment and survival impact in breast cancer. Ann Surg Oncol 17(Suppl 3):291–296. https://doi.org/10.1245/s10434-010-1250-6

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3