Objective The core indicator pool of ischemic stroke (IS) was constructed to provide a basis for the establishment of the core outcome set (COS), so as to improve the consistency of clinical research and evaluation results of traditional Chinese medicine (TCM) treatment of IS. Methods In this study, the mixed methods research (MMR) convergent parallel design was used to carry out qualitative research and quantitative research at the same time, and the two research results were integrated to reach a conclusion. Quantitative research comprehensively collected the multi-source efficacy evaluation indicators of TCM treatment of IS, and carried out descriptive statistical analysis based on frequency theory. Semi-structured interviews were used in the qualitative research, relevant interest groups were selected to understand the evaluation indicators of the IS efficacy of TCM treatment that they were concerned about, and NVivo software was used for in-depth analysis, coding, classification, and extraction of the efficacy indicators. Based on the principle of pillar integration, quantitative and qualitative research results were integrated to construct an element pool of evaluation indexes for the treatment of IS with traditional Chinese medicine. Results A total of 437 standard papers, 71 registered trial protocols, 100 real-world medical data cases and several guideline consensus policy documents were included in the quantitative study, and a total of 314 indicators in the acute phase of IS, 154 indicators in the recovery phase, and 104 indicators in the sequelae phase were extracted. In the qualitative research part, a total of 32 indicators in the acute stage of IS, 34 indicators in the recovery stage and 35 indicators in the sequelae stage were extracted through interviews. Through group discussion and the principle of pillar integration, an element pool of IS ischemic stroke indicators was formed, including 279 IS indicators in the acute stage, 142 indicators in the recovery stage and 91 indicators in the sequelae stage. Conclusion Based on the MMR convergent parallel design, the element pool of the characteristic indexes of the therapeutic effect of IS in TCM was constructed to meet the needs, which provided the preliminary work basis for the construction of the core outcome set of ischemic stroke in the next stage.
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.