It is crucial to select outcomes in clinical trials. Appropriate outcomes can improve value and significance of trials and reduce the cost of investment. This paper describes how to develop core outcome sets and core outcome measurement instrument sets with the theory of mixed methods research, so as to standardize the choice of outcomes and outcome measurement instruments in clinical trials.
Mixed methods research (MMR) is the third research paradigm that combines quantitative and qualitative research. MMR can overcome limitations of qualitative and quantitative methods by integrating the advantages of these two. The environment of real world research is complicated. When using real world data to assess the health status of patients, process of treatment, outcomes of prevention and treatment, prognosis and prediction, and support for medical policy development, MMR can be applied to tackle research questions more comprehensively for the quality of research.
The characteristics of traditional Chinese medicine (TCM) practice include treatment based on syndrome differentiation and holism, which determines it is difficult to reflect the individualized therapeutic evaluation and overall regulation of TCM through traditional randomized controlled trials, which is based on quantitative evaluation. The implementation of N-of-1 trials will provide opportunities for quantitative evaluation of individualized therapeutic evaluation of TCM. Using mixed methods research, such as exploratory sequence design, interpretive sequence design or convergent design can provide abundant data to individualized therapeutic evaluation of TCM in different aspects, which may reflect holism and humanities characteristics of TCM in individual level.
The post-marketing clinical safety re-evaluation studies of traditional Chinese medicine injections have obtained safety evidence of various research types such as active monitoring, passive monitoring and literature review. However, there is a lack of comprehensive evaluation methods that can effectively integrate the data of the above research types. So far, it is impossible to further produce more comprehensive and objective high-level evidence-based evidence, which seriously affects the supervision and management of traditional Chinese medicine injections and clinical rational use. The key to establishment of a comprehensive evaluation method is to first establish a comprehensive evaluation of the core indicators of the preferred method, the formation of weighted quantitative scoring model applied to the comprehensive evaluation method. Mixed methods research (MMR) can effectively and deeply integrate different types of research data and scientifically and normatively complete the screening of indicators in the evaluation model through repeated quantitative and qualitative research on data. Secondly, for the most critical index weighting and weight adjustment research in the model construction research, the author innovatively combines the analytic hierarchy process with the invariant weight sub-constraint method, and introduces the quantitative research part of the MMR design. It ensures the accurate weighting of indicators in the process of model construction. Therefore, based on the research on the core outcome set proposed for the core outcome outcomes of the effectiveness test, this paper proposes the use of MMR to carry out index screening and weight adjustment research based on multi-source complex data, and to construct a comprehensive evaluation model of post-marketing clinical safety of traditional Chinese medicine injections that integrates different research types of data. It provides measurement tools and new methods for the comprehensive evaluation of post-marketing clinical safety of traditional Chinese medicine injections.