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1.四川省医学科学院·四川省人民医院药学部,成都 610072
2.电子科技大学医学院·个体化药物治疗四川省重点实验室,成都 610072
药师。研究方向:临床药学。E-mail:1213104656@ qq.com
主管药师,博士。研究方向:临床药学。E-mail:wuxw1988@126.com
收稿:2022-03-30,
修回:2022-08-24,
纸质出版:2022-10-15
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温亚林,石霞,龙恩武,等.SWARA方法在药品临床综合评价中的应用现状 [J].中国药房,2022,33(19):2428-2432.
WEN Yalin,SHI Xia,LONG Enwu,et al.Application status of SWARA method in clinical comprehensive evaluation of drugs[J].ZHONGGUO YAOFANG,2022,33(19):2428-2432.
温亚林,石霞,龙恩武,等.SWARA方法在药品临床综合评价中的应用现状 [J].中国药房,2022,33(19):2428-2432. DOI: 10.6039/j.issn.1001-0408.2022.19.25.
WEN Yalin,SHI Xia,LONG Enwu,et al.Application status of SWARA method in clinical comprehensive evaluation of drugs[J].ZHONGGUO YAOFANG,2022,33(19):2428-2432. DOI: 10.6039/j.issn.1001-0408.2022.19.25.
药品临床综合评价是药品供应保障决策的重要技术工具,其要求评价主体采用多种评价方法和工具对药品开展多维度、多层次证据的综合评判。多准则决策分析(MCDA)是药品临床综合评价的重要方法,包括权重赋值和综合评价。逐步加权评估比率分析法(SWARA)是MCDA的一种权重赋值方法,较其他方法可更简洁、准确地确定指标权重。本文对SWARA的方法进行介绍,并系统综述了SWARA在药品临床综合评价中的应用现状。结果显示,目前,SWARA已应用于多个研究领域。在医药学领域内,研究者利用SWARA建立MCDA模型,通过咨询专家团队意见,计算出每个药物评价准则的具体权重值。SWARA的优势在于其按照相应步骤,通过征询专家意见或判断,为药物评价准则的权重提供了一个全新的赋值方式,以解决医疗领域中的MCDA问题;但其在解决复杂决策问题时具有一定的主观性和不确定性,也可能存在评价准则筛选不充分、覆盖主题不全面等问题,应用时需加以注意。
Clinical comprehensive evaluation of drugs is an important technical tool for drug supply assurance decision-making, which requires evaluation subjects to use multiple evaluation methods and tools to carry out a comprehensive evaluation of multi-dimensional and multi-level evidence for drugs. Multi-criteria decision analysis (MCDA) is an important method for clinical comprehensive evaluation of drugs, including weight assignment and comprehensive evaluation. Step-wise weight assessment ratio analysis (SWARA) is a weighting method for MCDA, which can determine indicator weight concisely and accurately compared to other methods. This paper introduces the method of SWARA, and systematically reviews the application of SWARA in the comprehensive clinical evaluation of drugs. Currently, the SWARA method is used in various research areas. Within the field of pharmaceuticals, researchers use the SWARA method to build MCDA models and calculate specific weight values for each drug evaluation criterion by consulting a team of experts. The advantage of SWARA is that it provides a brand-new way of assigning the weight of drug evaluation criterion by consulting experts’ opinions or judgments according to corresponding steps to solve the MCDA problem in the medical field; however, it has certain subjectivity and uncertainty in solving complex decision-making problems, and there may also be problems such as insufficient screening of evaluation criterion and incomplete coverage of topics, which should be paid attention to in application.
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