摘要
目的对医疗机构中药制剂创新和持续发展能力进行综合评价,为行政管理部门决策及各医院中药制剂可持续发展提供参考。方法以浙江省133家医疗机构中药制剂调研数据为对象,利用层次分析法构建医疗机构中药制剂创新和持续发展能力评价体系,通过反向传播神经网络构建中药制剂室评价体系预测模型。结果构建的医疗机构中药制剂创新和持续发展能力评价指标体系包含4项二级指标以及19项三级指标,其中研发品种数、超百万品种数、注册品种数、研发方式、制剂室面积指标的权重值较高,分别为0.15758、0.12928、0.09343、0.07879和0.07458。熵权法结合层次分析法的指标权重构建反向传播神经网络,Levenberg-Marquardt算法和Scaled Conjugate Gradient算法训练模型总体相关系数分别为0.98983和0.93480。结论本研究构建了一个科学有效的医疗机构中药制剂创新和持续发展能力综合评价体系,可实现对医疗机构中药制剂综合能力的预测评价。
OBJECTIVE To evaluate the innovation and sustainable development ability of traditional Chinese medicine(TCM)preparation in medical institutions,and to provide reference for the decision-making of administrative departments and the sustainable development of TCM preparation in hospitals.METHODS Based on the information data of 133 medical institutions in Zhejiang Province,analytic hierarchy process was used to construct the evaluation system of innovation and sustainable development ability of TCM preparation of medical institutions,and the prediction model of evaluation system of TCM preparation room/center was built by back propagation neural network.RESULTS The evaluation index system for innovation and sustainable development of TCM preparations in medical institutions included 4 second-level indexes and 19 third-level indexes.Among them,the number of varieties developed,the number of over one million varieties,the number of registered varieties,the way of research and development,and the area of preparation room had higher weight values,which were 0.15758,0.12928,0.09343,0.07879 and 0.07458,respectively.The entropy weight method and analytic hierarchy process index weights were used to construct the back propagation neural network.The overall correlation coefficients of the training models of the Levenberg-Marquardt algorithm and the Scaled Conjugate Gradient algorithm were 0.98983 and 0.93480,respectively.CONCLUSION This study establishes a scientific and effective comprehensive evaluation system for the innovation and sustainable development ability of TCM preparations in medical institutions,which can realize the prediction and evaluation of the comprehensive ability of TCM preparations in medical institutions.
作者
姚冲
贾良权
杨富
祖维维
朱炜
曾晓飞
沈炜
YAO Chong;JIA Liangquan;YANG Fu;ZU Weiwei;ZHU Wei;ZENG Xiaofei;SHEN Wei(Affiliated Huzhou Hospital,Zhejiang University School of Medicine(Huzhou Central Hospital),Huzhou 313000,China;Huzhou University,Huzhou 313000,China;Administration of Traditional Chinese Medicine of Zhejiang Province,Hangzhou 310000,China;Zhejiang Provincial Hospital of Chinese Medicine,Hangzhou 310000,China)
出处
《中国现代应用药学》
CAS
CSCD
北大核心
2024年第10期1415-1421,共7页
Chinese Journal of Modern Applied Pharmacy
基金
浙江省中医药科技计划重点项目(2021ZZ010)
浙江省中管局局省共建重大项目(GZY-ZJ-KJ-24050)
浙江省软科学研究计划项目(2024C35128)
湖州市公益性应用研究项目(2020GY04)。
关键词
医疗机构中药制剂
创新能力
持续发展能力
评价体系
层次分析法
反向传播神经网络
traditional Chinese medicine preparations in medical institutions
innovation ability
sustainable development ability
evaluation system
analytic hierarchy process
back propagation neural network