How well did the consensus methods apply in the guideline development of traditional Chinese medicine: a web-based survey in China

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Abstract

Background and objective: Consensus methods are crucial in developing clinical guidelines. Different methods, such as the Delphi and nominal group techniques, are commonly used, but there is a lack of detailed instructions on how to implement them effectively. The survey aims to explore the opinions and attitudes of the chair, panel and working group on the critical elements of the consensus methods during guideline development. Methods: We used a cross-sectional design to conduct this study and sent a structured questionnaire to stakeholders, including the chair, panel members, and working group participants, through the popular mobile phone application WeChat.We selected participants using a combination of purposive and snowball sampling. The questionnaire gathered information on demographics, experiences, opinions, and concerns regarding consensus methods and guideline development. Results: The sample comprised 290 participants representing 31 provinces or municipalities. Among them, the most significant number of respondents (n = 107, 36.9%) were from Beijing. Most participants, specifically 211 (72.76%), held senior professional titles, while 186 (64.14%) adhered to ongoing guidelines. The Delphi method was the most commonly used consensus method (n = 132, 42.31%), but the respondents had only a preliminary understanding of it (n = 147, 47.12%). The consensus process also revealed the insufficiency of involving pharmacoeconomists, patients, and nurses. Conclusions: Consensus methods have to be standardised and used consistently in the guideline development process. The findings of this study offer insights into diverse roles and more effective ways to apply the consensus process during guideline development.

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Liang, C., Yin, G., Lin, Z., Cui, J., Wang, Y., Liu, S., … Fei, Y. (2023). How well did the consensus methods apply in the guideline development of traditional Chinese medicine: a web-based survey in China. BMC Medical Research Methodology, 23(1). https://doi.org/10.1186/s12874-023-02087-0

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