1.Construction of DRG Implementation Effect Evaluation Index System from the Perspective of Hospital,In-surance and Patients
Lüfan FENG ; Jiajie XU ; Mi TANG ; Ying PENG ; Chunlin JIN
Chinese Hospital Management 2025;45(3):72-77
Objective To construct the evaluation index system of DRG implementation effect from the interests of medical insurance,hospitals and patients,and provide evaluation tools for medical insurance departments to grasp the actual operation effect of DRG.Methods The evaluation index system is constructed initially through literature re-view,and then Delphi method is used to conduct two rounds of expert consultation.According to the concentration degree and coordination degree of expert opinions,the index system is selected and modified,and the final evalua-tion index system is constructed.Results The positive coefficients of experts in the two rounds of expert consultation were 73%and 82%respectively,and the average authority coefficient of experts was 0.78.In the second round of consultation,the Kendell's W coefficients of the importance,data availability and sensitivity of the evaluation index were 0.517,0.437 and 0.472 respectively(P<0.001).Finally,the evaluation index system of DRG implementation effect includes 3 first-level indicators,9 second-level indicators and 29 third-level indicators.Conclusion The evalua-tion index system of DRG implementation effect has high enthusiasm of experts,good authority,coordination and concentration of experts,which can be used to evaluate the sustainability of medical insurance fund,the service out-put of medical institutions and the rights and interests of patients in DRG pilot areas.
2.A Review and Reflection on the Updates of the NICE Health Technology Evaluations Guideline
Jiahao HU ; Hongchao LI ; Yuhan LIU ; Fen LI ; Meijie LIAN ; Chunlin JIN
Chinese Health Economics 2025;44(5):102-108
The National Institute for Health and Care Excellence(NICE)first updated its 2013 Health Technology Evaluations Guidelines in 2022,followed by further minor adjustments in 2023.This round of updates primarily focuses on five key areas:mea-suring the value of health technologies,understanding and improving the evidence base,structured decision-making,addressing challenging diseases and technologies,and ensuring consistency in methods across evaluation and review projects.It outlines the up-date process and major changes,providing an analysis of these key points with the aim of offering valuable insights and methodologi-cal references for health technology assessment in China.
3.Simulation Analysis on the Compensation Mechanism for High-Quality Development of Public Hospitals Based on System Dynamics Model
Meifeng WANG ; Xiliang LENG ; Zhongyi TANG ; Haiyin WANG ; Botao TIAN ; Chunlin JIN
Chinese Health Economics 2025;44(11):14-21
Objective:To propose policy recommendations for the compensation mechanism of high-quality development of municipal public hospitals.Methods:Taking the municipal public hospitals in Shanghai as the research object,the aspects of financial subsidies,the structure of medical service income,investment in scientific research and education,and other social compensations were examined to conduct a systematic simulation of the operation of the average municipal public hospital in Shanghai under different policy intervention scenarios.Results:If the current conditions remain unchanged,the average municipal public hospital in Shanghai will face a deficit starting in 2032,the proportion of income from examinations and laboratory tests will surpass that of medical service income in 2026 and 2031,respectively.If the hospitals follow a plan of Combination Plan 3,4,and 5,the average municipal public hospital in Shanghai will be able to break even from 2023 to 2033,and the structure of medical service income will be significantly optimized.Conclusion:To establish a new compensation mechanism for high-quality hospital development that enhances medical services,it is recommended to optimize the structure of government financial compensation,explore rational pricing strategies based on categories,increase investment in scientific research and education while paying attention to the transformation of scientific and technological achievements,expand compensation channels for public hospitals,and improve relevant laws and regulations.
4.Establishment and application of quadruplex RT-qPCR for differentiation of viral pathogens associated with diarrhea in pig herds
Chunlin LI ; Zhou SHA ; Jin CUI ; Hui ZHENG ; Fulong NAN ; Yaqin DONG ; Rong WEI ; Rui WU ; Bo NI
Chinese Journal of Veterinary Science 2025;45(11):2325-2333,2342
A quadruplex RT-qPCR method was developed for rapid identification and diagnosis of transmissible gastroenteritis virus(TGEV)of swine,porcine epidemic diarrhea virus(PEDV),porcine deltacorona virus(PDCoV),and porcine rotavirus type A(PoRVA).The full-length sequences of PEDV(77 strains),TGEV(63 strains),PDCoV(17 strains)that are prevalent in China,as well as the 85 VP6 gene sequences of PoRVA,were downloaded from the NCBI database for homology analysis.Based on the relatively conserved sequences,the corresponding primers and probes for each virus were designed and used to establish the quadruplex RT-qPCR method.After optimization of the probes and the reaction conditions,the specificity,sensitivity,and repeatability were determined.Using the established method,109 clinical samples of diarrhea were tested and further compared with the results by standard method.The results showed that the quadruplex RT-qPCR method established in this experiment has good amplification effect,with the C,value linearly correlated with the copies of templates(R2>0.99).Specificity assay demonstrated that the quadruplex RT-qPCR method can identify TGEV,PEDV,PDCoV,PRoVA strains,and do not de-tect African swine fever virus(ASFV),porcine circovirus type 2(PCV2),porcine reproductive and respiratory syndrome virus(PRRSV),classical swine fever virus(CSFV),pseudorabies virus(PRV)and other epidemic viruses.Sensitivity assay showed that the detection limits for TGEV,PEDV,PDCoV and PoRVA were 10,20,20 and 50 copies/μL,respectively.The method exhibits excellent reproducibility,with coefficients of variation(Cv)for both intra-and inter-assay repli-cates being less than 1%.Detection of 109 samples of diarrhea by this method yielded the coinci-dence rate of 100%with the industry standard,indicating high practical applicability.The devel-oped method possesses the advantages of strong strain compatibility,high sensitivity,strong speci-ficity,good repeatability and stability.It is suitable for virus diagnosis and large-scale clinical sam-ple testing,providing technical support for disease prevention and control as well as epidemiologi-cal investigation.
5.A systematic review of osteoporosis-specific quality-of-life scales
Jing YAN ; Qiujun QIN ; Fen LI ; Jun ZHOU ; Yuanyuan DING ; Chunlin JIN
Chinese Journal of Tissue Engineering Research 2025;29(35):7649-7655
OBJECTIVE:To review the development trend,target population,setting and construction process of osteoporosis-specific quality of life measures both domestically and internationally.METHODS:All of the currently available publicly available osteoporosis-specific quality-of-life scales were found by searching the PubMed,Embase,CNKI,and WanFang Data.The search period included the time from database construction to August 2024.The basic information,development trend,target population,and the setting of the scale's dimensions,entries,and levels were taken from the original research and development literature that included the scale.The content of the dimensions and the scale's construction process were then compiled and examined.RESULTS:A total of 20 osteoporosis-specific quality of life scales were included in the study,and the literature on the development of 34 scales was traced.The number of dimensions of the included scales ranged from 2-7 dimensions,all of which included physiological dimensions;the number of entries of the scales ranged from 10-84 entries,while the number of levels set under the entries was mostly focused on four or five levels.There are three main ways of constructing the scales,of which the construction of a pool of entries and the screening of the entries according to classical measurement theory and item response theory is an approach that has emerged in recent years.CONCLUSION:According to the specific target population and diversified measurement objectives,the content of osteoporosis-specific quality of life scales has become increasingly streamlined,with fewer dimensions and entries overall;and its building procedure is gradually becoming more standardized.
6.Predictive Models and Influencing Factors for the Work Relative Value Unit in Clinical Surgical Items Based on Generalized Linear Models and BP Neural Networks
Haiyin WANG ; Meifeng WANG ; Liang FANG ; Chunlin JIN
Chinese Health Economics 2025;44(4):61-64
Objective:In order to establish benchmark values for new medical service items,it aims to investigate the predictive models and influencing elements that affect the work relative value unit in clinical surgical items in China.Methods:Generalized Linear Model(GLM)and BP neural network techniques were used to investigate influencing factors and build prediction models using the National Medical Service Project Technical Specification(2023 Edition)as the value database.Results:The average relative value of human resource usage was 41.9,with a total of 6 011 items across 16 systems and anesthesia.The GLM's mean prediction error was 4%and its linear correlation coefficient was 0.997.The top 5 predictor variables in terms of importance were technical complexity(0.45),risk level(0.30),physician time(0.08),number of physicians(0.06),and nurse time(0.03).With a mean prediction error of 1.5%,the neural network model obtained a correlation coefficient of 0.996.Technical difficulty(0.20),physician time(0.20),perfusionist time(0.19),risk level(0.15),and medical technician time(0.06)were the top five predictors.Conclusion:Both types of predictive models are well-fitted and valid,and future medical service items can provide relative values of human resource consumption,creating an integrated relative point system.
7.A Review and Reflection on the Updates of the NICE Health Technology Evaluations Guideline
Jiahao HU ; Hongchao LI ; Yuhan LIU ; Fen LI ; Meijie LIAN ; Chunlin JIN
Chinese Health Economics 2025;44(5):102-108
The National Institute for Health and Care Excellence(NICE)first updated its 2013 Health Technology Evaluations Guidelines in 2022,followed by further minor adjustments in 2023.This round of updates primarily focuses on five key areas:mea-suring the value of health technologies,understanding and improving the evidence base,structured decision-making,addressing challenging diseases and technologies,and ensuring consistency in methods across evaluation and review projects.It outlines the up-date process and major changes,providing an analysis of these key points with the aim of offering valuable insights and methodologi-cal references for health technology assessment in China.
8.A systematic review of osteoporosis-specific quality-of-life scales
Jing YAN ; Qiujun QIN ; Fen LI ; Jun ZHOU ; Yuanyuan DING ; Chunlin JIN
Chinese Journal of Tissue Engineering Research 2025;29(35):7649-7655
OBJECTIVE:To review the development trend,target population,setting and construction process of osteoporosis-specific quality of life measures both domestically and internationally.METHODS:All of the currently available publicly available osteoporosis-specific quality-of-life scales were found by searching the PubMed,Embase,CNKI,and WanFang Data.The search period included the time from database construction to August 2024.The basic information,development trend,target population,and the setting of the scale's dimensions,entries,and levels were taken from the original research and development literature that included the scale.The content of the dimensions and the scale's construction process were then compiled and examined.RESULTS:A total of 20 osteoporosis-specific quality of life scales were included in the study,and the literature on the development of 34 scales was traced.The number of dimensions of the included scales ranged from 2-7 dimensions,all of which included physiological dimensions;the number of entries of the scales ranged from 10-84 entries,while the number of levels set under the entries was mostly focused on four or five levels.There are three main ways of constructing the scales,of which the construction of a pool of entries and the screening of the entries according to classical measurement theory and item response theory is an approach that has emerged in recent years.CONCLUSION:According to the specific target population and diversified measurement objectives,the content of osteoporosis-specific quality of life scales has become increasingly streamlined,with fewer dimensions and entries overall;and its building procedure is gradually becoming more standardized.
9.Predictive Models and Influencing Factors for the Work Relative Value Unit in Clinical Surgical Items Based on Generalized Linear Models and BP Neural Networks
Haiyin WANG ; Meifeng WANG ; Liang FANG ; Chunlin JIN
Chinese Health Economics 2025;44(4):61-64
Objective:In order to establish benchmark values for new medical service items,it aims to investigate the predictive models and influencing elements that affect the work relative value unit in clinical surgical items in China.Methods:Generalized Linear Model(GLM)and BP neural network techniques were used to investigate influencing factors and build prediction models using the National Medical Service Project Technical Specification(2023 Edition)as the value database.Results:The average relative value of human resource usage was 41.9,with a total of 6 011 items across 16 systems and anesthesia.The GLM's mean prediction error was 4%and its linear correlation coefficient was 0.997.The top 5 predictor variables in terms of importance were technical complexity(0.45),risk level(0.30),physician time(0.08),number of physicians(0.06),and nurse time(0.03).With a mean prediction error of 1.5%,the neural network model obtained a correlation coefficient of 0.996.Technical difficulty(0.20),physician time(0.20),perfusionist time(0.19),risk level(0.15),and medical technician time(0.06)were the top five predictors.Conclusion:Both types of predictive models are well-fitted and valid,and future medical service items can provide relative values of human resource consumption,creating an integrated relative point system.
10.Simulation Analysis on the Compensation Mechanism for High-Quality Development of Public Hospitals Based on System Dynamics Model
Meifeng WANG ; Xiliang LENG ; Zhongyi TANG ; Haiyin WANG ; Botao TIAN ; Chunlin JIN
Chinese Health Economics 2025;44(11):14-21
Objective:To propose policy recommendations for the compensation mechanism of high-quality development of municipal public hospitals.Methods:Taking the municipal public hospitals in Shanghai as the research object,the aspects of financial subsidies,the structure of medical service income,investment in scientific research and education,and other social compensations were examined to conduct a systematic simulation of the operation of the average municipal public hospital in Shanghai under different policy intervention scenarios.Results:If the current conditions remain unchanged,the average municipal public hospital in Shanghai will face a deficit starting in 2032,the proportion of income from examinations and laboratory tests will surpass that of medical service income in 2026 and 2031,respectively.If the hospitals follow a plan of Combination Plan 3,4,and 5,the average municipal public hospital in Shanghai will be able to break even from 2023 to 2033,and the structure of medical service income will be significantly optimized.Conclusion:To establish a new compensation mechanism for high-quality hospital development that enhances medical services,it is recommended to optimize the structure of government financial compensation,explore rational pricing strategies based on categories,increase investment in scientific research and education while paying attention to the transformation of scientific and technological achievements,expand compensation channels for public hospitals,and improve relevant laws and regulations.

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