Methodological Value and Design Key Points of Target Value Method in Clinical Research of Experience Inheritance of Famous and Experienced Traditional Chinese Medicine Doctors
YU Mingkun, YU He, WANG Di, et al. Methodological Value and Design Key Points of Target Value Method in Clinical Research of Experience Inheritance of Famous and Experienced Traditional Chinese Medicine Doctors[J]. Journal of Traditional Chinese Medicine2020, 61(1): 36-41.
YU Mingkun, YU He, WANG Di, et al. Methodological Value and Design Key Points of Target Value Method in Clinical Research of Experience Inheritance of Famous and Experienced Traditional Chinese Medicine Doctors[J]. Journal of Traditional Chinese Medicine2020, 61(1): 36-41.DOI: 10.13288/j.11-2166/r.2020.01.009.
The experience of famous experienced traditional Chinese medicine(TCM) doctors is an important carrier of traditional medicine. Because patients′ subjective willingness to seek treatment of famous experienced TCM doctors is relatively strong
the research results are mostly reported and promoted in the form of case series or case reports. The target value method can be used as one of the alternatives when randomized controlled trials or non-randomized concurrent control designs are not available. However
there are still some difficulties in the selection of target values and the methodologies design that combine with the experience inheritance of famous and experienced TCM doctors. Based on the existing research methods and challenges of clinical research on experience inheritance of famous and experienced TCM doctors
combined with the actual situation of experience inheritance of famous and experienced TCM doctors
the application of disease type
outcome index
target value selection
sample size calculation and statistics in the target value method and other links in the study of experience inheritance of famous and experienced TCM doctors were analyzed in detail
in order to provide new ideas to solve the contradiction between the strict methodological design requirements and many practical difficulties in the real world
and rationally save research investment and reduce ethical issues.