GAO Yicheng 1,2,3 , LIU Meijun 1,2,3 , SU Chengyuan 1,2,3 , WANG Yaqi 1,2,3 , FENG Yuting 1,2,3 , CAO Rui 1,2,3 , LIU Zhihan 1,2,3 , FEI Yutong 1,2,3
  • 1. Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P. R. China;
  • 2. Institute for Excellence in Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P. R. China;
  • 3. Beijing GRADE Center, Beijing University of Chinese Medicine, Beijing 100029, P. R. China;
FEI Yutong, Email: yutong_fei@163.com
Export PDF Favorites Scan Get Citation

When prioritizing clinical questions in the development of the clinical practice guidelines, clinical questions with high recognition and low variability, or high score and less disagreement among experts were often prioritized, while questions with high recognition but high variability were excluded. By this approach, clinical questions with practical value but also showed high variability due to different causes were not accepted as priorities. There were some methodological and clinical limitations by doing so. By summarizing the causes and connotations of expert opinion variability in terms of clinical experience, expertise and values, this paper analyzed the advantages of the variability quantification application, and proposed corresponding methodological recommendations, so as to provide references for guideline developers in the priority selection of clinical questions.

Citation: GAO Yicheng, LIU Meijun, SU Chengyuan, WANG Yaqi, FENG Yuting, CAO Rui, LIU Zhihan, FEI Yutong. Methodological recommendations for variability quantification methods applied in the formulation of clinical questions in guidelines. Chinese Journal of Evidence-Based Medicine, 2023, 23(11): 1329-1333. doi: 10.7507/1672-2531.202306003 Copy

  • Previous Article

    Construct a comprehensive evaluation index system for the rational use of foods for special medical purposes (FSMP) in medical institutions
  • Next Article

    Method of dynamically evaluating individual efficacy of traditional Chinese medicine based on Bayesian N-of-1 trials