| Literature DB >> 26223961 |
A Quillet1, G Defossez1, P Ingrand1,2.
Abstract
The current study set out to automatically generate waiting times for access to surgery, chemotherapy and radiotherapy, and to analyse their determinants for non-metastatic breast cancer patients. We used data from the Poitou-Charentes regional cancer registry of women diagnosed with stages I-III breast carcinoma between 2008 and 2010. Waiting times were automatically computed from a previously validated algorithm modelling the care trajectory and then compared with national guidelines. The population of this study included 1082 patients. The compliance with guidelines ranged from 52.4% (access to adjuvant chemotherapy) to 89.2% (access to adjuvant radiotherapy). Younger age, a higher TNM stage, a lower grade, having a triple negative tumour, being the subject of multidisciplinary meetings and being a patient at a public hospital were associated with longer waiting times. The main result was the significant heterogeneity between geographical areas of treatment for all waiting times studied. The original, reproducible use of a registry-based automated algorithm to generate waiting times will help to follow these indicators routinely and efficiently.Entities:
Keywords: automatic data processing; breast cancer; cancer registry; waiting times
Mesh:
Year: 2015 PMID: 26223961 DOI: 10.1111/ecc.12362
Source DB: PubMed Journal: Eur J Cancer Care (Engl) ISSN: 0961-5423 Impact factor: 2.520