RESUMO
Under the national policy background of traditional Chinese medicine（TCM）registration review and approval reform， TCM preparations in medical institutions（hereinafter referred to as medical institution preparations） have human use experience， conform to the characteristics of TCM clinical practice， and have advantages in the research and development of innovative Chinese medicines. Therefore， the research and development mode based on clinical experience prescription-medical institution preparations-innovative Chinese medicines has attracted widespread attention from the industry. However， in the process of development and use of medical institution preparations， there are generally clinical problems that restrict their transformation into innovative Chinese medicines， resulting in a relatively weak collection basis of human use experience and insufficient clinical evidence for supporting the research and development of new TCM medicines. In this paper， on the basis of sorting out the supporting regulations and relevant technical requirements of human use experience， and analyzing the clinical problems restricting the transformation of medical institution preparations， it provides suggestions for medical institutions to carry out high-quality research on human use experience of preparations in the process of TCM clinical practice from the aspects of continuously exploring clinical value， improving the construction of information system， focusing on the TCM clinical practice and giving full play to the advantages of discipline cooperation. By realizing the whole life cycle management of medical institution preparations based on three-combination evaluation evidence system， we can promote the transformation of medical institution preparations into innovative Chinese medicines.
RESUMO
Objective To apply the combination evaluation model in the comprehensive evaluation of sci-tech influence of hospitals in China.Method 42 Grade-Ⅲll hospitals were selected and evaluated by analytic hierarchy process (AHP),principal components analysis and entropy method.Kendall's coefficient of concordance (W) was applied to check the coherence of the evaluation results from the three methods above.Average method,Borda method,Copeland method and fuzzy Borda method were used for combining the single evaluation result.Spearman rank correlation was then used for testing whether the combination evaluation results matched the single evaluation result.Result Kendall's W correlation test showed consistency among three single evaluation results.A strong correlation between each combination evaluation result and the single evaluation result was observed by Spearman rank correlation analysis.The average method was chosen as the best method based on the Spearman rank correlation coefficient.Conclusion The study confirmed that the combination evaluation method can be applied in evaluating sci-tech influence of hospitals in China.
RESUMO
Objective To develop appropriate evaluation methods of local basic public health services which are suitable to county level and above.Methods Data on basic public health services of 1 1 cities in Zhejiang province in 201 2 was evaluated by different evaluation methods including weighted synthetic scored method,weighted synthetic index method, Weighted Technique for Order Preference by Similarity to Ideal Solution (Topsis ) and Weighted Rank -Sum Ratio (RSR).The consistency of evaluation results were tested by Kendall's coefficient of concordance W test.Combination evaluation was conducted to evaluate four single synthetic evaluation results through average method,weighted average combination evaluation method and hierarchical clustering analysis.Results Different synthetic evaluation methods had different evaluation results.However,in the order,the top two were all Hangzhou and Ningbo.Kendall's W test showed good consistence of four evaluation results.Rank of 1 1 cities were Hangzhou,Ningbo,Shaoxing,Jiaxing,Huzhou, Taizhou,Jinhua,Zhoushan,Lishui,Wenzhou and Quzhou based on combination evaluation value by average method, which was the same to the rank based on weighted average combination evaluation result.Eleven cities could be classified into four categories by hierarchical clustering analysis with statistical significance (P <0.01 ):Excellent (Hangzhou, Ningbo),Good (Huzhou,Jiaxing,Shaoxing),Middle (Zhoushan,Jinhua,Taizhou)and Poor (Wenzhou,Quzhou, Lishui).Conclusion These four synthetic evaluation methods used in this study are all suitable to county level and above in basic public health services evaluation.Various synthetic evaluation methods could be used in practice with combination evaluation of various evaluation results.Average method which is convenient and accurate is preferred when consistency of various synthetic evaluation results was testified.Hierarchical clustering analysis could be used for combination evaluation when no precise rank is needed.