Optimising the quality of multidisciplinary team meetings: A narrative review

Cancer Med. 2022 May;11(9):1965-1971. doi: 10.1002/cam4.4432. Epub 2022 Mar 7.

Abstract

Background: Understanding of factors that contribute to implementation of effective cancer multidisciplinary team meetings (MDMs) is still limited. Published literature on the effect of teamwork function, leadership roles, decision-making processes and structural components on the quality of MDMs was reviewed and synthesised.

Methods: In this paper, a MEDLINE review (September 2020) was performed to assess clinical decision-making in the context of MDM discussions.

Results: Twenty-nine eligible studies were included. Six studies addressed the infrastructural aspects of MDMs. Nine studies used either qualitative or mixed method approach to develop and validate observational tools to assess the quality of MDMs. Seven studies used qualitative approaches to explore the opinions of MDM members on factors that impact on the effectiveness of MDMs. Five studies used validated observational tools to observe and assess the effectiveness of MDMs. One prospective study explored the relationship between quality of information presented at MDMs and ability of MDM members to make clinical decisions. The final study prospectively tested the ability of a multicomponent intervention to improve decision-making processes within MDMs.

Conclusions: A broad range of factors including teamwork, leadership, case complexity, decision-making processes and availability of patient information were identified to impact the quality of MDMs. Evidence currently available largely focuses on the development of tools to identify factors in need of improvement to optimise MDMs. Robust research is required to identify the factors that are demonstrated to enhance MDM quality which can then aid the standardisation of how MDMs are conducted.

Keywords: cancer; cancer multidisciplinary team meetings; decision-making; patient care team; teamwork.

Publication types

  • Review

MeSH terms

  • Clinical Decision-Making
  • Data Collection
  • Humans
  • Neoplasms* / therapy
  • Patient Care Team*
  • Prospective Studies