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Defining the Need for Breast Cancer Radiotherapy in the General Population: a Criterion-based Benchmarking Approach by M. Kerba; Q. Miao; J. Zhang-Salomons; W. Mackillop is a Agricultural and Biological Sciences article available to read on EtoBox.
What is Defining the Need for Breast Cancer Radiotherapy in the General Population: a Criterion-based Benchmarking Approach about?
## Aims: Determining the appropriate rate of radiotherapy is important for ensuring optimal radiotherapy utilisation and accessibility. a criterion-based benchmark (cbb) was developed for estimating the need for radiotherapy in incident breast cancer cases. our primary objective was to compare an evidence-based estimate (ebest) of need against the cbb. these estimates were then compared with radiotherapy rates in ontario, canada and the usa. surgical rates were also examined. ## Materials and methods: Benchmarks were defined in ontario as communities in proximity to cancer centres and without long waiting lists. patient data from 1997 to 2001 were prospectively collected from radiotherapy cancer centres. surgical data were obtained from the canadian institute for health information database. the public use file of surveillance, epidemiology and end results (seer) described treatment in the usa. ## Results: In total, 4241 cases of breast cancer were diagnosed in benchmark communities. the overall radiotherapy rate by ebest was 64.0% (95% confidence interval: 58.1-69.8%) compared with the cbb of 60.7% (59.3-62.1%). in comparison, ontario's overall radiotherapy rate was 55.6% (55.0-56
Who reads Defining the Need for Breast Cancer Radiotherapy in the General Population: a Criterion-based Benchmarking Approach?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- M. Kerba; Q. Miao; J. Zhang-Salomons; W. Mackillop
- Publisher
- Elsevier Science; Springer; Elsevier ; Springer-Verlag; W. B. Saunders Co., Ltd.; Springer Verlag; Elsevier BV; Springer Science and Business Media LLC (ISSN 1433-2981)
- Published
- 2007
- Language
- EN
- Field
- Agricultural and Biological Sciences (Life Sciences)