Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

The National Essential Medicines System could protect public health and ensure access to essential medications.Although the current selection methods for China's National Essential Medicines Lists(NEMLs)are becoming more scientific and standardized,there are still problems such as much emphasis on expert experience and the lack of transparency of decision-making basis.To address these issues,it proposes an evidence-based decision-making pathway for NEMLs selection guided by clinical value.This approach ensures a strong integration of evidence and decision-making,offering valuable insights for improving the adjustment procedures and selection criteria of the NEMLs in China.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

The National Essential Medicines System could protect public health and ensure access to essential medications.Although the current selection methods for China's National Essential Medicines Lists(NEMLs)are becoming more scientific and standardized,there are still problems such as much emphasis on expert experience and the lack of transparency of decision-making basis.To address these issues,it proposes an evidence-based decision-making pathway for NEMLs selection guided by clinical value.This approach ensures a strong integration of evidence and decision-making,offering valuable insights for improving the adjustment procedures and selection criteria of the NEMLs in China.

Objective To evaluate the risk of bias and reporting quality in randomized controlled trials(RCTs)of the Chinese medicine injection for acute cerebral infarction in the last five years.Methods RCTs literature on Chinese medicine injection in the treatment of acute cerebral infarction was systematically searched in CNKI,Wanfang Data,VIP,China Biology Medicine Database(CBM),PubMed,Embase and Cochrane Library from April 20,2018 to April 20,2023.The risk of bias and reporting quality of included RCTs were evaluated using the Cochrane Risk of Bias Tool(ROB 1.0)and CONSORT-CHM Formulas 2017,respectively.Results A total of 4 301 articles were retrieved,and 408 RCTs were included according to inclusion and exclusion criteria.The ROB evaluation results showed that the the majority of studies were rated as having an unclear risk of bias due to the lack of reporting on allocation concealment,blind method,trial registration information,and funding sources.The evaluation results of CONSORT-CHM Formulas 2017 showed that the number of reported papers of 17 items was greater than or equal to 50%,and the number of reported papers of 25 items was less than 10%,and most of the RCTs did not show the characteristics of TCM syndrome differentiation and treatment.Conclusion The quality of Chinese medicine injection in the treatment of acute cerebral infarction RCTs is generally low.It is recommended that researchers refer to the methodology design of RCTs and international reporting standards,improve the trial design,standardize the trial report,and highlight the characteristics of TCM syndrome differentiation and treatment.

OBJECTIVE To provide a detailed report and interpretation of the method and results for determining the weights of the technical indicators from the “multi-dimensional and multi-criteria comprehensive evaluation index system （first edition）” stated in Guideline for Multi-dimensional and Multi-criteria Comprehensive Evaluation of Chinese Patent Medicine. METHODS Normalization calculations were performed on the comprehensive weight values calculated by the analytic hierarchy process and expert weighting method to obtain the objective weights of the indicators. RESULTS The weight results of the six primary dimensions in the current comprehensive evaluation indicator system of Chinese patent medicine showed effectiveness dimension＞ safety dimension＞standard dimension＞application dimension＞scientific dimension＞economic dimension， with weight values of 0.281 0， 0.268 5， 0.195 8， 0.107 3， 0.096 1 and 0.051 3 respectively， consistent with the results of most researches currently. CONCLUSIONS The process of weight determination in this indicator system is scientifically reasonable， with clear methods and clear interpretations， and is worthy of further optimization and widespread application.

To reduce the subjectivity and uncertainty present in the current international methods of drug value pricing when converting value into monetary prices,based on the hedonic pricing theory,it considers the post-negotiation price between manufacturers and payers as a reasonable price reference in the value pricing of Chinese patent medicine.By constructing an indicator system for the characteristics of Chinese patent medicine,it selects and measures the value characteristic variables that affect the price of Chinese patent medicine.It serves as the theoretical foundation and research basis for establishing a Hedonic price model between characteristic price variables and negotiation prices,thereby promoting the enhancement of rationality and objectivity in value-guided pricing of Chinese patent medicine.

Objective The purpose is to sort out the key steps and core indicators of priority setting for health technology assessment,and provide references for the research of priority setting for health technology assessment in China.Methods To search information from the official website of the World Health Organization,the websites of international health technology assessment agencies/organizations,and CNKI,Wanfang,Pubmed,Embase and other databases related for the setting of health technology assessment priority topics,and the key steps and core indicators of the setting of priority topics were analyzed by descriptive statistical analysis.Results 21 priority setting schemes for health technology assessment were finally incorporated,and the key steps were extracted to set indicators for collecting evaluations.Ratings and rankings and review decisions.The core indicators are disease burden,economic impact and clinical/health impact.Conclusion The key steps and core indicators of international priority setting provide rich practical experience for China's health technology assessment priority setting,which should be actively used for reference to promote evidence-based and scientific decision-making of health technology assessment in China.