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Objective:The purpose of quantitatively evaluating policies related to clinical specialties and exploring existing policy problems and paths to optimization is to provide a reference basis for the formulation and improvement of the policies.Methods:Text mining was conducted on the policies related to clinical specialties issued by the national and some provincial governments since the new medical reform in 2009.The PMC index model was used to construct a comprehensive evaluation system of policies containing 9 primary variables and 35 secondary variables.22 clinical specialty policies were selected for quantitative analysis.Results:Among the 22 clinical specialty policies,6 policies were good-type policies,14 were acceptable-type policies,2 were bad-type policies,and there were no excellent-type policies.The overall design of the policies related to clinical specialties is reasonable,but there is still room for improvement.Conclusion:The quality of China's clinical specialty policy text needs to be improved,and it is necessary to strengthen the top-level design,optimise the content of the objectives,focus on the balanced and sustainable development of the speciality,give full play to the role of demand-based policy tools,and enrich the incentives and constraints,in order to mobilise multi-principal participation in the construction of the clinical speciality enthusiasm.
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OBJECTIVE To quantitatively evaluate the existing payment policies of diagnosis-related groups (DRGs)in China , so as to provide reference for the formulation and improvement of policies. METHODS Totally 58 documents related to DRGs payment issued by the national and provincial medical security bureaus from 2017 to 2022 were processed by text mining method. PMC index evaluation model of DRGs payment policy was established. Nine typical DRGs payment policies were quantitatively evaluated and analyzed by 10 primary variables and 40 secondary variables. RESULTS Among the 9 policies,5 were excellent and 4 were acceptable. The average score of PMC index was 6.882. Generally ,there was still room for improvement because of the acceptable level. By comparing the two representative policies ,it was found that the main reasons was a lack of consideration in terms of supervision and management ,incentives and constraints when facing policy changes ,reason of the lower level of urban development. CONCLUSIONS Although DRGs payment policy in China is basically perfect ,there is still a lot of room for improvement in terms of extending the time limit of the policy ,summarizing and spreading the successful experience of pilot cities.
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OBJECTIVE To provide reference for the optimization of development policy of traditional Chinese medicine. METHODS ROSTCM text mining analysis software was adopted to screen the literature preliminarily ,the PMC policy index model was built ,and the results by PMC index and visual PMC surface were analyzed. RESULTS & CONCLUSIONS A total of 33 policies related to traditional Chinese medicine were included ,and 10 primary variables and 46 secondary variables were set. The average PMC index of 33 policies was 6.15,of which 2 were excellent policies and the rest were good policies. Among the primary variables ,the scores of policy openness ,policy evaluation and policy field were relatively high ,while the scores of release time ,policy level and policy type were low. The analysis of sink index and secondary variables showed that the macro planning of national policies was not specific enough in terms of policy objectives and contents ,with low score ,while the local policies were usually planned in detail. Generally speaking ,there is still much room for improvement in the policies related to the development of traditional Chinese medicine in terms of policy system construction ,government investment ,talent construction , financing supporting policies ,market access rules ,responsible subjects and legal guarantee.
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OBJECTIVE:To su mmarize the achievements and shortcomings of chronic disease management policies in China , and to provide reference for the formulation and improvement of the policy. METHODS :Totally 109 documents related to chronic disease management issued by the State Council and various ministries and commissions from 2009 to 2020 were processed by text mining method. PMC index evaluation model of chronic disease management policy was established. Sixteen typical chronic disease management policies were quantitatively evaluated and analyzed by 10 first-level indicators and 40 second-level indicators. RESULTS:Among the 16 policies,10 were of excellent level and 6 were of acceptable level. The average PMC score was 7.243, which was generally acceptable level but still had large room for improvement. By comparing two representative policies ,it was found that the main reasons for the policies with low scores were the lack of long-term development planning ,the absence of “Internet + chronic disease management ”new model and other contents ,and the lack of talent incentive and legal guarantee measures. CONCLUSIONS :Chronic disease management policy has been improved ,and it can be further improved from the aspects of policy prescription ,policy content and incentive mode.