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MDT practice determines treatment pathway for patients with advanced ovarian cancer: a multi-centre observational study
  • +5
  • Tamara Khassan,
  • Emily Smitten,
  • Nicholas Wood,
  • Christina Fotopoulou,
  • Jo Morrison,
  • Madeleine MacDonald,
  • Kathryn Baxter,
  • Richard Edmondson
Tamara Khassan
UoM

Corresponding Author:[email protected]

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Emily Smitten
UoM
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Nicholas Wood
Lancashire Teaching Hospitals NHS Foundation Trust
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Christina Fotopoulou
Imperial College London
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Jo Morrison
Somerset NHS Foundation Trust
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Madeleine MacDonald
Sheffield Teaching Hospitals NHS Foundation Trust
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Kathryn Baxter
UoM
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Richard Edmondson
UoM
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Abstract

Background Patients presenting with advanced ovarian cancer can be managed in a variety of ways. No clear selection algorithms exist to guide decision-making and there is significant geographical variation in practice. Decision-making takes place in specialist multidisciplinary team meetings (MDTs). We wanted to examine whether format and behaviour within these meetings could explain the geographical variation in treatment patterns seen in England Methods Observational study of five cancer centre MDTs over a six-week period. Data were recorded for overall MDT performance. The GO-MDT-MODe tool was used to provide a measure of participation and quality of case discussion for all cases of advanced ovarian cancer. MDT scores were correlated with surgical and survival data extracted from national audit data. Results A total of 870 case discussions, including 145 cases of advanced ovarian cancer, were observed. MDTs varied in structure, format and time allocation between centres. Cluster analysis showed significant variation in quality and participation of discussion between centres (p<0.0025) and this correlated with the proportion of patients in the wider cancer alliance undergoing surgery, but not with overall survival Conclusions We have shown that at least part of the variation in practice seen in the UK correlates with different behaviours within MDTs. Increasing time for discussion and encouraging participation from all staff groups may increase proportions of patients undergoing optimal treatment regimens.