Xiehe Yixue Zazhi (Aug 2023)

Exploring the Essential Factors of Applying the Consensus Methods in the Development of Traditional Chinese Medicine Guidelines: A Qualitative Interview

  • LIANG Changhao,
  • YIN Dingran,
  • LIU Meijun,
  • YIN Guanxiang,
  • LI Xun,
  • WANG Yaqi,
  • LIU Siqi,
  • TONG Min,
  • LIU Pengwei,
  • SU Xiangfei,
  • FEI Yutong

DOI
https://doi.org/10.12290/xhyxzz.2023-0320
Journal volume & issue
Vol. 15, no. 4
pp. 942 – 952

Abstract

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ObjectiveThis study delves into the pivotal factors influencing the consensus process within traditional Chinese medicine guideline development, with the objective of augmenting the quality of this process through methodological recommendations aimed at elevating standardization.MethodsSemi-structured qualitative interviews were used to interview guideline leaders, working groups and consensus groups to explore the pertinent elements impacting the credibility of consensus and gather insights into the constitution and progression of the consensus methodology.ResultsThe study encompassed interviews with 26 participants, yielding 212 codes that were subsequently categorized into five domains: establishment of the consensus group, integration of patient participation, adeptness of the meeting moderator, preparation for consensus formulation, and overarching factors influencing consensus. The research distilled three fundamental phases for forming a consensus group and delineated 17 fundamental tenets for applying the consensus methodology.ConclusionsIn forthcoming guideline development endeavors, it is advisable to bolster methodological training ahead of the consensus process while ensuring comprehensive engagement of methodologists. Encouraging experts to navigate differences judiciously and prioritizing meticulous methodology and evidentiary groundwork are recommended. The process should involve openly disclosing the selection of consensus group members, heightening the involvement of patients, and effective management and disclosure of conflicts of interest. This collective approach helps curtail bias, enhance transparency, bolster reliability, and fortify the scientific rigor of consensus outcomes.

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