Multidisciplinary team meeting and EUSOMA quality indicators in breast cancer care: A French regional multicenter study

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Pons-Tostivint, E. | Daubisse-Marliac, L. | Grosclaude, P. | Oum Sack, E. | Goddard, J. | Morel, C. | Dunet, C. | Sibrac, L. | Lagadic, C. | Bauvin, E. | Bergé, Y. | Bernard-Marty, C. | Vaysse, C. | Lacaze, J.L.L.

Edité par CCSD ; Elsevier -

International audience. Introduction: We evaluate breast cancer (BC) pathway at a regional level including public, private and university institutions. We assessed the quality of multidisciplinary team meetings (MTM) and compliance with a panel of European high-quality indicators (EUSOMA QIs).Methods: We conducted a retrospective multicenter (n = 20) study in the largest health care region in France. Between January and April 2015, we included all patients discussed at an MTM after a diagnosis of BC (n = 619). We analyzed quality of MTM by assessing the quorum, the reliability of data transcription and the exhaustivity of pre-therapeutic MTM. We then analyzed the compliance with a selected panel of 16 EUSOMA QIs.Results: During MTM discussion, data were more than 95% consistent with medical records for 9/11 items. Pre-operative tumor histology (90.6%) and post-operative resection margins (84.3%) were the least concordant between medical records and MTM. Minimum standards as defined by EUSOMA were reached for 11/16 QIs, but not reached for pathology reports in non-invasive BC (78.2%), proportion of exclusive sentinel lymph node biopsies in patients with clinically negative axilla (85.2%), performing adjuvant chemotherapy (76.6%), and proportion of patients discussed in pre-therapeutic and post-operative MTM (63.5%).Conclusions: In this multicentric study evaluating the quality of BC care with a representative sample of institutions, compliance with EUSOMA indicators was satisfactory for all type of institutions. However, too few patients were discussed in pre-therapeutic MTM (especially in non-university hospitals 43.7% [39.4-48.1]) versus 88.7% for others [82.2-95.1]) and data transcription was likely responsible for up to 15% of discordance.

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