The final, formatted version of the article will be published soon.
METHODS article
Front. Pharmacol.
Sec. Ethnopharmacology
Volume 16 - 2025 |
doi: 10.3389/fphar.2025.1501634
Development and Validation a Methodology Model for Traditional Chinese Medicine Good Practice Recommendation: An Exploratory Sequential Mixed Methods Study
Provisionally accepted- 1 Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China
- 2 Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, China
- 3 Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China
- 4 The First Affiliated Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China
- 5 Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
- 6 King Saud University Medical City, Riyadh, Saudi Arabia
- 7 College of Medicine, King Saud University, Riyadh, Saudi Arabia
- 8 University of São Paulo, Ribeirão Preto, Ribeirão Preto, São Paulo, Brazil
- 9 University for Continuing Education Krems, Krems an der Donau, Lower Austria, Austria
- 10 Cairo University, Giza, Giza, Egypt
- 11 Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
Background: To develop a rational and standardized traditional Chinese medicine (TCM) good practice recommendation (GPR) methodology model that guides the formulation of recommendations grounded in clinical experience.Methods: We adopted an exploratory sequential mixed-method to develop a methodology model by coding systematically collected literature on methodology and TCM guidelines related to TCM GPR using a best-fit framework synthesis. Then based on real-world data (published TCM guidelines), saturation tests, structural rationality validation, and discriminability tests were conducted to validate methodology model.Results: A total of 35 methodological literature and 190 TCM guidelines were included. A TCM GPR methodology model was developed, including 3 themes, 10 sub-themes, and the relationships between themes and subthemes. The information of TCM GPR methodology model achieved data saturation. The fit indices were within the acceptable range, and were able to distinguish the overall differences between guidelines from different literature sources, development organizations, guideline types, discipline categories, and funding categories.The study developed a TCM GPR methodology model which describes the definition of a TCM GPR, how to formulate it, and how to report it. The methodology modeldemonstrates good fit, discriminability, and data saturation. It can standardize the specific formulation of TCM GPRs, facilitate the scientific and rational formation of TCM GPRs, and provide theoretical and methodological guidance for the formation of TCM GPRs.
Keywords: Traditional Chinese medicine (TCM), guidelines, Good Practice Recommendation (GPR), Methodology model, mixed method
Received: 25 Sep 2024; Accepted: 13 Jan 2025.
Copyright: © 2025 Li, Luan, Wang, Xie, Chen, Lee, Amer, Sharifan, Hussein and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hui Li, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.