TY - JOUR
T1 - Pros and cons of streamlining and use of computerised clinical decision support systems to future-proof oncological multidisciplinary team meetings
AU - Walraven, Janneke E. W.
AU - Verhoeven, Rob H. A.
AU - van der Hoeven, Jacobus J. M.
AU - van der Meulen, Renske
AU - Lemmens, Valery E. P. P.
AU - Hesselink, Gijs
AU - Desar, Ingrid M. E.
N1 - Funding Information: The assistance of A. Oude-Bos (AO) in coding the data of this study was greatly appreciated. The grammatical assistance of A. Mills is highly appreciated. Publisher Copyright: Copyright © 2023 Walraven, Verhoeven, van der Hoeven, van der Meulen, Lemmens, Hesselink and Desar.
PY - 2023
Y1 - 2023
N2 - Introduction: Nowadays nearly every patient with cancer is discussed in a multidisciplinary team meeting (MDTM) to determine an optimal treatment plan. The growth in the number of patients to be discussed is unsustainable. Streamlining and use of computerised clinical decision support systems (CCDSSs) are two major ways to restructure MDTMs. Streamlining is the process of selecting the patients who need to be discussed and in which type of MDTM. Using CCDSSs, patient data is automatically loaded into the minutes and a guideline-based treatment proposal is generated. We aimed to identify the pros and cons of streamlining and CCDSSs. Methods: Semi-structured interviews were conducted with Dutch MDTM participants. With purposive sampling we maximised variation in participants’ characteristics. Interview data were thematically analysed. Results: Thirty-five interviews were analysed. All interviewees agreed on the need to change the current MDTM workflow. Streamlining suggestions were thematised based on standard and complex cases and the location of the MDTM (i.e. local, regional or nationwide). Interviewees suggested easing the pressure on MDTMs by discussing standard cases briefly, not at all, or outside the MDTM with only two to three specialists. Complex cases should be discussed in tumour-type-specific regional MDTMs and highly complex cases by regional/nationwide expert teams. Categorizing patients as standard or complex was found to be the greatest challenge of streamlining. CCDSSs were recognised as promising, although none of the interviewees had made use of them. The assumed advantage was their capacity to generate protocolised treatment proposals based on automatically uploaded patient data, to unify treatment proposals and to facilitate research. However, they were thought to limit the freedom to deviate from the treatment advice. Conclusion: To make oncological MDTMs sustainable, methods of streamlining should be developed and introduced. Physicians still have doubts about the value of CCDSSs.
AB - Introduction: Nowadays nearly every patient with cancer is discussed in a multidisciplinary team meeting (MDTM) to determine an optimal treatment plan. The growth in the number of patients to be discussed is unsustainable. Streamlining and use of computerised clinical decision support systems (CCDSSs) are two major ways to restructure MDTMs. Streamlining is the process of selecting the patients who need to be discussed and in which type of MDTM. Using CCDSSs, patient data is automatically loaded into the minutes and a guideline-based treatment proposal is generated. We aimed to identify the pros and cons of streamlining and CCDSSs. Methods: Semi-structured interviews were conducted with Dutch MDTM participants. With purposive sampling we maximised variation in participants’ characteristics. Interview data were thematically analysed. Results: Thirty-five interviews were analysed. All interviewees agreed on the need to change the current MDTM workflow. Streamlining suggestions were thematised based on standard and complex cases and the location of the MDTM (i.e. local, regional or nationwide). Interviewees suggested easing the pressure on MDTMs by discussing standard cases briefly, not at all, or outside the MDTM with only two to three specialists. Complex cases should be discussed in tumour-type-specific regional MDTMs and highly complex cases by regional/nationwide expert teams. Categorizing patients as standard or complex was found to be the greatest challenge of streamlining. CCDSSs were recognised as promising, although none of the interviewees had made use of them. The assumed advantage was their capacity to generate protocolised treatment proposals based on automatically uploaded patient data, to unify treatment proposals and to facilitate research. However, they were thought to limit the freedom to deviate from the treatment advice. Conclusion: To make oncological MDTMs sustainable, methods of streamlining should be developed and introduced. Physicians still have doubts about the value of CCDSSs.
KW - computerized clinical decision support systems
KW - multidisciplinary team meeting
KW - oncology
KW - oncology care
KW - streamlining
UR - http://www.scopus.com/inward/record.url?scp=85161048007&partnerID=8YFLogxK
U2 - https://doi.org/10.3389/fonc.2023.1178165
DO - https://doi.org/10.3389/fonc.2023.1178165
M3 - Article
C2 - 37274246
SN - 2234-943X
VL - 13
JO - Frontiers in Oncology
JF - Frontiers in Oncology
M1 - 1178165
ER -