Objective To study the current situation of China’s pharmacovigilance system,and to provide some suggestions for the improvement of related policies.Methods A policy modeling consistency(PMC)index model of pharmacovi...Objective To study the current situation of China’s pharmacovigilance system,and to provide some suggestions for the improvement of related policies.Methods A policy modeling consistency(PMC)index model of pharmacovigilance policy was constructed to quantitatively assess the samples of policies combining text mining.Then,the PMC surface was established to obtain the visualization results of China’s pharmacovigilance policy samples,and their shortcomings were clearly analyzed by comparison.Results and Conclusion Forty-one percent of China’s pharmacovigilance policies were rated as excellent,54%as acceptable,and the overall evaluation was acceptable.But there is still some room for improvement.On the whole,there are problems of insufficient policy synergy,lack of policy incentives and constraints,and incomplete coverage of policy functions.It is recommended that China’s pharmacovigilance policy system should be optimized by strengthening policy coordination,increasing policy incentives and constraints,and guiding multi-subjects to participate in coordination.These findings and recommendations can provide operational ideas for the system of China’s pharmacovigilance policy.展开更多
[目的]对“十四五”时期省级层面数字健康政策进行梳理和量化评价,为政策制定和完善提供对策建议。[方法]采用ROST CM 6.0软件对11份数字健康政策进行文本挖掘,构建政策一致性(Policy Modeling Consistency,PMC)指数模型,包含9个一级变...[目的]对“十四五”时期省级层面数字健康政策进行梳理和量化评价,为政策制定和完善提供对策建议。[方法]采用ROST CM 6.0软件对11份数字健康政策进行文本挖掘,构建政策一致性(Policy Modeling Consistency,PMC)指数模型,包含9个一级变量和39个二级变量,并对政策文本进行量化分析。[结果]11项政策的PMC指数均值为6.41,其中3项是优秀政策,8项是可接受政策。一级变量X_(1)政策性质(0.89)、X_(8)政策功能(0.87)、X_(9)政策评价(0.86)评分较高;X_(2)政策时效(0.33)、X_(3)发布机构(0.34)、X_(5)政策对象(0.73)、X_(7)政策内容(0.76)评分较低。[结论]我国省级层面数字健康政策仍有一定的提升空间。建议强化政策短期突破、中期布局与长期引领的有机衔接,建立政府主导、多元协同、共建共享的治理体系,着力提升政策体系的均衡性与完整性,激发区域创新发展活力。展开更多
目的分析新医改以来我国医保支付方式改革的政策现状与不足,为完善医保支付方式改革提供参考。方法运用ROST CM 6软件梳理2009—2024年国家层面出台的医保支付方式改革政策文件,明确此阶段重点推行的主要支付方式并构建政策一致性(Polic...目的分析新医改以来我国医保支付方式改革的政策现状与不足,为完善医保支付方式改革提供参考。方法运用ROST CM 6软件梳理2009—2024年国家层面出台的医保支付方式改革政策文件,明确此阶段重点推行的主要支付方式并构建政策一致性(Policy Modeling Consistency,PMC)指数评价指标体系对其政策文本进行量化及比较分析。结果疾病诊断相关分组(DRG)与按病种分值付费(Diagnosis-Intervention Packet,DIP)支付方式的词频数远高于其他医保支付方式,是国家医保支付方式改革政策制定的侧重点。DRG政策的PMC指数均值为5.76,DIP政策的PMC指数均值为6.25,总体上DIP支付方式政策质量更高。结论新医改以来政策迭代驱动多元复合支付体系构建,医保支付方式改革进入精准发展阶段,2类主要医保支付方式中DIP政策数量与词频数低于DRG政策,但其政策质量却高于DRG政策,另外二者政策存在短期导向、视角局限与激励不足等共性问题。建议出台加强DRG/DIP与其余支付方式的联合使用政策,推动医保支付方式改革发展。展开更多
文摘Objective To study the current situation of China’s pharmacovigilance system,and to provide some suggestions for the improvement of related policies.Methods A policy modeling consistency(PMC)index model of pharmacovigilance policy was constructed to quantitatively assess the samples of policies combining text mining.Then,the PMC surface was established to obtain the visualization results of China’s pharmacovigilance policy samples,and their shortcomings were clearly analyzed by comparison.Results and Conclusion Forty-one percent of China’s pharmacovigilance policies were rated as excellent,54%as acceptable,and the overall evaluation was acceptable.But there is still some room for improvement.On the whole,there are problems of insufficient policy synergy,lack of policy incentives and constraints,and incomplete coverage of policy functions.It is recommended that China’s pharmacovigilance policy system should be optimized by strengthening policy coordination,increasing policy incentives and constraints,and guiding multi-subjects to participate in coordination.These findings and recommendations can provide operational ideas for the system of China’s pharmacovigilance policy.
文摘[目的]对“十四五”时期省级层面数字健康政策进行梳理和量化评价,为政策制定和完善提供对策建议。[方法]采用ROST CM 6.0软件对11份数字健康政策进行文本挖掘,构建政策一致性(Policy Modeling Consistency,PMC)指数模型,包含9个一级变量和39个二级变量,并对政策文本进行量化分析。[结果]11项政策的PMC指数均值为6.41,其中3项是优秀政策,8项是可接受政策。一级变量X_(1)政策性质(0.89)、X_(8)政策功能(0.87)、X_(9)政策评价(0.86)评分较高;X_(2)政策时效(0.33)、X_(3)发布机构(0.34)、X_(5)政策对象(0.73)、X_(7)政策内容(0.76)评分较低。[结论]我国省级层面数字健康政策仍有一定的提升空间。建议强化政策短期突破、中期布局与长期引领的有机衔接,建立政府主导、多元协同、共建共享的治理体系,着力提升政策体系的均衡性与完整性,激发区域创新发展活力。
