应用层次分析模型构建药品临床综合评价指标体系与量化分级
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篇名: | 应用层次分析模型构建药品临床综合评价指标体系与量化分级 |
TITLE: | Construction of drug clinical comprehensive evaluation index system and quantitative grading by using analytic hierarchy model |
摘要: | 目的 构建我国药品临床综合评价指标体系与量化分级,为科学开展药品临床综合评价提供参考依据。方法应用层次分析模型建立药品临床综合评价指标体系,通过对专家咨询和模型运算确定评价指标的权重与各指标的量化分级。结果应用层次分析模型对专家咨询结果进行整合,得到了包括有效性、安全性、经济性、适宜性、可及性和创新性6个一级指标及指南推荐地位、特殊人群用药、药品疗程费用等23个二级指标的药品临床综合评价指标体系,并通过判断矩阵法确定了各级指标的权重。结论本研究应用层次分析模型构建了我国药品临床综合评价指标体系与量化分级,可为综合分析决策提供方法参考,从而使药品临床综合评价更完整、科学。 |
ABSTRACT: | OBJECTIVE To construct the drug clinical comprehensive evaluation index system and quantitative grading in China, and to provide a reference for scientifically carrying out comprehensive clinical evaluation of drugs. METHODS The analytic hierarchy model was used to establish the drug clinical comprehensive evaluation index system, the weight of the evaluation index and the quantitative grading of each index were determined through expert consultation and model calculation. RESULTS The results of expert consultation were integrated by using the analytic hierarchy model, and the drug clinical comprehensive evaluation index system was obtained: including six first-level indicators of effectiveness, safety, economy, suitability, accessibility and innovation, as well as twenty-three second-level indicators of recommended status, medication for special populations, and drug treatment costs; the weight of each indicator was calculated through estimation-matrix method. CONCLUSIONS The analytic hierarchy model can construct the drug clinical comprehensive evaluation index system and quantitative grading in China, which can provide methodological references for comprehensive analysis and decision-making, thus making the clinical comprehensive evaluation of drugs completer and more scientific. |
期刊: | 2023年第34卷第11期 |
作者: | 董名扬;陈朋军;王舒;菅凌燕 |
AUTHORS: | DONG Mingyang,CHEN Pengjun,WANG Shu,JIAN Lingyan |
关键字: | 层次分析模型;药品临床综合评价;指标体系;量化分级 |
KEYWORDS: | analytic hierarchy model; drug clinical comprehensive evaluation; index system; quantitative grading |
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