Effect of a new model for multidisciplinary breast cancer care on clinical metrics leading to efficiency and timeliness of access.

Abstract

107 Background: The multidisciplinary approach to breast cancer care provides a coordinated mechanism for evaluating and treating new patients. Improving the structure of clinic models may further enhance the delivery of cancer care. METHODS In May 2013, multi-team (MT) clinics were introduced in the breast center at the University of Texas MD Anderson Cancer Center. Local patients with newly diagnosed breast cancer were scheduled to be seen in a MT clinic with testing coordinated for the same day. Patient cases were first reviewed and examined concurrently by physicians from each discipline (surgical, medical, radiation), followed by sequential visits with each clinician for a more detailed discussion. The goal of this program was to determine whether a highly integrated multidisciplinary clinic model would improve the efficient delivery of cancer treatment. RESULTS From 5/2013 - 5/2014, 211 newly diagnosed and untreated breast cancer patients were seen in the MT clinic. Clinical metrics were reviewed retrospectively and compared to newly diagnosed and untreated patients who entered the clinic using the standard model (non-MT patients) (n=1944). Please see Table for details of the data. CONCLUSIONS Multi-team clinics improved clinical metrics leading to efficiency and timeliness of access. The model enriched for a population of patients who were more likely to receive treatment within the breast center, utilize institutional resources, and enroll into clinical trials. [Table: see text].

DOI: 10.1200/jco.2014.32.26_suppl.107

Cite this paper

@article{Ferguson2014EffectOA, title={Effect of a new model for multidisciplinary breast cancer care on clinical metrics leading to efficiency and timeliness of access.}, author={Susan E Ferguson and Welela Tereffe and Isabelle Bedrosian and Stacy L. Moulder}, journal={Journal of clinical oncology : official journal of the American Society of Clinical Oncology}, year={2014}, volume={32 26_suppl}, pages={107} }