1.Research on the Collaboration and Combination of Global Budget and Case-based Payment Based on Theoretical Analysis and Regional Experience
Chenhan SUN ; Danqing QIAN ; Xinhui WANG ; Min HU
Chinese Health Economics 2024;43(7):32-35,51
China's healthcare payment reform seeks to combine a medical insurance point-system with a global budget.The focus and difficulty in implementing the payment reform is how to make effectively link.On the basis of theoretical analysis,it selects the regions that have implemented the payment by disease under regional total budget and the payment by disease under institutional total budget,and summarizes the synergistic mechanism of total budget and payment by disease,including the strict control of total budget at the regional level,the reasonable setup of the budget or the standard of expected service volume at the institutional level,and the rate fluctuation and discount mechanism for the settlement of excess service;and further sort out the additional incentive mechanism to support innovation and quality enhancement under the background of the total budget and the payment by disease.Lessons can be drawn from the experiences of typical regions to strengthen the synergy between regional budgets,institutional budgets and payment by type of disease,and cautiously deal with the risks of excessive competition and"punching points"that may arise from the regional point method.
2.Research on the Collaboration and Combination of Global Budget and Case-based Payment Based on Theoretical Analysis and Regional Experience
Chenhan SUN ; Danqing QIAN ; Xinhui WANG ; Min HU
Chinese Health Economics 2024;43(7):32-35,51
China's healthcare payment reform seeks to combine a medical insurance point-system with a global budget.The focus and difficulty in implementing the payment reform is how to make effectively link.On the basis of theoretical analysis,it selects the regions that have implemented the payment by disease under regional total budget and the payment by disease under institutional total budget,and summarizes the synergistic mechanism of total budget and payment by disease,including the strict control of total budget at the regional level,the reasonable setup of the budget or the standard of expected service volume at the institutional level,and the rate fluctuation and discount mechanism for the settlement of excess service;and further sort out the additional incentive mechanism to support innovation and quality enhancement under the background of the total budget and the payment by disease.Lessons can be drawn from the experiences of typical regions to strengthen the synergy between regional budgets,institutional budgets and payment by type of disease,and cautiously deal with the risks of excessive competition and"punching points"that may arise from the regional point method.
3.Research on the Collaboration and Combination of Global Budget and Case-based Payment Based on Theoretical Analysis and Regional Experience
Chenhan SUN ; Danqing QIAN ; Xinhui WANG ; Min HU
Chinese Health Economics 2024;43(7):32-35,51
China's healthcare payment reform seeks to combine a medical insurance point-system with a global budget.The focus and difficulty in implementing the payment reform is how to make effectively link.On the basis of theoretical analysis,it selects the regions that have implemented the payment by disease under regional total budget and the payment by disease under institutional total budget,and summarizes the synergistic mechanism of total budget and payment by disease,including the strict control of total budget at the regional level,the reasonable setup of the budget or the standard of expected service volume at the institutional level,and the rate fluctuation and discount mechanism for the settlement of excess service;and further sort out the additional incentive mechanism to support innovation and quality enhancement under the background of the total budget and the payment by disease.Lessons can be drawn from the experiences of typical regions to strengthen the synergy between regional budgets,institutional budgets and payment by type of disease,and cautiously deal with the risks of excessive competition and"punching points"that may arise from the regional point method.
4.Research on the Collaboration and Combination of Global Budget and Case-based Payment Based on Theoretical Analysis and Regional Experience
Chenhan SUN ; Danqing QIAN ; Xinhui WANG ; Min HU
Chinese Health Economics 2024;43(7):32-35,51
China's healthcare payment reform seeks to combine a medical insurance point-system with a global budget.The focus and difficulty in implementing the payment reform is how to make effectively link.On the basis of theoretical analysis,it selects the regions that have implemented the payment by disease under regional total budget and the payment by disease under institutional total budget,and summarizes the synergistic mechanism of total budget and payment by disease,including the strict control of total budget at the regional level,the reasonable setup of the budget or the standard of expected service volume at the institutional level,and the rate fluctuation and discount mechanism for the settlement of excess service;and further sort out the additional incentive mechanism to support innovation and quality enhancement under the background of the total budget and the payment by disease.Lessons can be drawn from the experiences of typical regions to strengthen the synergy between regional budgets,institutional budgets and payment by type of disease,and cautiously deal with the risks of excessive competition and"punching points"that may arise from the regional point method.
5.Research on the Collaboration and Combination of Global Budget and Case-based Payment Based on Theoretical Analysis and Regional Experience
Chenhan SUN ; Danqing QIAN ; Xinhui WANG ; Min HU
Chinese Health Economics 2024;43(7):32-35,51
China's healthcare payment reform seeks to combine a medical insurance point-system with a global budget.The focus and difficulty in implementing the payment reform is how to make effectively link.On the basis of theoretical analysis,it selects the regions that have implemented the payment by disease under regional total budget and the payment by disease under institutional total budget,and summarizes the synergistic mechanism of total budget and payment by disease,including the strict control of total budget at the regional level,the reasonable setup of the budget or the standard of expected service volume at the institutional level,and the rate fluctuation and discount mechanism for the settlement of excess service;and further sort out the additional incentive mechanism to support innovation and quality enhancement under the background of the total budget and the payment by disease.Lessons can be drawn from the experiences of typical regions to strengthen the synergy between regional budgets,institutional budgets and payment by type of disease,and cautiously deal with the risks of excessive competition and"punching points"that may arise from the regional point method.
6.Research on the Collaboration and Combination of Global Budget and Case-based Payment Based on Theoretical Analysis and Regional Experience
Chenhan SUN ; Danqing QIAN ; Xinhui WANG ; Min HU
Chinese Health Economics 2024;43(7):32-35,51
China's healthcare payment reform seeks to combine a medical insurance point-system with a global budget.The focus and difficulty in implementing the payment reform is how to make effectively link.On the basis of theoretical analysis,it selects the regions that have implemented the payment by disease under regional total budget and the payment by disease under institutional total budget,and summarizes the synergistic mechanism of total budget and payment by disease,including the strict control of total budget at the regional level,the reasonable setup of the budget or the standard of expected service volume at the institutional level,and the rate fluctuation and discount mechanism for the settlement of excess service;and further sort out the additional incentive mechanism to support innovation and quality enhancement under the background of the total budget and the payment by disease.Lessons can be drawn from the experiences of typical regions to strengthen the synergy between regional budgets,institutional budgets and payment by type of disease,and cautiously deal with the risks of excessive competition and"punching points"that may arise from the regional point method.
7.Impact of cesarean scar defect on reproductive outcomes after assisted reproductive technology
Ling WANG ; Chenhan ZHAO ; Qin ZHANG
Journal of Zhejiang University. Medical sciences 2024;53(3):313-320
In the last twenty years,the cesarean section rate has been rising in China,leading to an increased prevalence of cesarean scar defect(CSD)and secondary infertility.CSD decreases receptivity of endometrium,induces adenomyosis and endometriosis,disrupts uterine micro-environment and causes difficulties in embryo transplant operation as well as has further pregnancy complications.For women undergoing assisted reproductive technology(ART),CSD significantly reduces live birth rate,clinical pregnancy rate and embryo implantation rate.CSD can be effectively treated by hysteroscopic surgery,laparoscopic surgery and transvaginal surgery to increase the pregnancy rate.This article reviews the research progress on the impact of CSD on the reproductive outcomes of ART,the potential factors and related treatments,and provides a reference for the management of CSD patients undergoing ART.
8.18F-FDG PET Image Combined with Interpretable Deep Learning Radiomics Model in Differential Diagnosis Between Primary Parkinson's Disease and Atypical Parkinson's Syndrome
Chenyang LI ; Chenhan WANG ; Jing WANG ; Fangyang JIAO ; Qian XU ; Huiwei ZHANG ; Chuantao ZUO ; Jiehui JIANG
Chinese Journal of Medical Imaging 2024;32(3):213-219
Purpose To explore the application value of combining 18F-FDG PET images with interpretable deep learning radiomics(IDLR)models in the differential diagnosis of primary Parkinson's disease(IPD)and atypical Parkinson's syndrome.Materials and Methods This cross-sectional study was conducted using the Parkinson's Disease PET Imaging Benchmark Database from Huashan Hospital,Fudan University from March 2015 to February 2023.A total of 330 Parkinson's disease patients underwent 18F-FDG PET imaging,both 18F-FDG PET imaging and clinical scale information were collected for all subjects.The study included two cohorts,a training group(n=270)and a testing group(n=60),with a total of 211 cases in the IPD group,59 cases in the progressive supranuclear palsy(PSP)group,and a group of 60 patients with multiple system atrophy(MSA).The clinical information between different groups were compared.An IDLR model was developed to extract feature indicators.Under the supervision of radiomics features,IDLR features were selected from the features collected by neural network extractors,and a binary support vector machine model was constructed for the selected features in images of in testing group.The constructed IDLR model,traditional radiomics model and standard uptake ratio model were separately used to calculate the performance metrics and area under curve values of deep learning models for pairwise classification between IPD/PSP/MSA groups.The study conducted independent classification and testing in two cohorts using 100 10-fold cross-validation tests.Brain-related regions of interest were displayed through feature mapping,using gradient weighted class activation maps to highlight and visualize the most relevant information in the brain.The output heatmaps of different disease groups were examined and compared with clinical diagnostic locations.Results The IDLR model showed promising results for differentiating between Parkinson's syndrome patients.It achieved the best classification performance and had the highest area under the curve values compared to other comparative models such as the standard uptake ratio model(Z=1.22-3.23,all P<0.05),and radiomics model(Z=1.31-2.96,all P<0.05).The area under the curve values for the IDLR model in differentiating MSA and IPD were 0.935 7,for MSA and PSP were 0.975 4,for IPD and PSP were 0.982 5 in the test set.The IDLR model also showed consistency between its filtered feature maps and the visualization of gradient-weighted class activation mapping slice thermal maps in the radiomics regions of interest.Conclusion The IDLR model has the potential for differential diagnosis between IPD and atypical Parkinson's syndrome in 18F-FDG PET images.
9.Comparison of embrace fixation and screw fixation for inferior tibiofibular syndesmosis injury
Jian WANG ; Chenhan WANG ; Zhenlu CAO ; Xiaoheng DING ; Quanyu DONG
Chinese Journal of Orthopaedic Trauma 2024;26(7):563-568
Objective:To compare the embrace fixation and screw fixation in the treatment of inferior tibiofibular syndesmosis injury.Methods:A retrospective study was conducted of the 125 patients who had been treated for ankle fractures and distal syndesmotic injuries at The Hospital Affiliated to Qingdao University from April 2018 to September 2021. They were 79 males and 46 females with an age of (25.4±11.2) years. The patients were divided into 2 groups according to their fixation methods: an observation group of 75 cases subjected to embrace fixation and a control group of 50 cases subjected to conventional screw fixation. Their reduction was evaluated by comparing the disparities between the affected and normal sides in the anterior and posterior syndesmotic distances, fibular translation distance, and fibular rotation angle between the 2 groups after surgery. Intraoperative immobilization time for the inferior tibiofibular syndesmosis, American Orthopaedic Foot and Ankle Society (AOFAS) ankle-hindfoot score, Olerud-Molander ankle function score, and visual analog scale (VAS) for pain were also compared at the last follow-up between the 2 groups.Results:There was no statistically significant difference in the preoperative baseline data between the 2 groups of patients, indicating comparability ( P>0.05). There was no statistically significant difference between the 2 groups in intraoperative immobilization time for the inferior tibiofibular syndesmosis, disparity between the injured and normal sides in postoperative fibular translation distance, or VAS pain score at the last follow-up ( P>0.05). The anterior and posterior syndesmotic distances, disparity between the injured and normal sides in fibular rotation angle, AOFAS ankle-hindfoot score, and Olerus-Molander ankle function score in the observation group [0.1 (-0.2, 0.3) mm, 0.1 (-0.3, 0.5) mm, -0.5 (-1.1, 0.8)°, 96 (93, 100) points, and 95 (90, 100) points] were all significantly better than those in the control group [1.4 (0.6, 2.1) mm, 1.5 (0.9, 2.2) mm, 1.2 (-3.8, 3.7)°, 93 (89, 96) points, and 90 (85, 100) points] (all P<0.05). There was no major complication or nonunion in the observation group. Conclusion:The embrace technique can provide an accurate and effective fixation for the inferior tibiofibular syndesmosis in patients with ankle fracture and lead to better clinical and radiographic outcomes than conventional screw fixation.
10.Predictive value of a clinical-radiomics-deep learning fusion model based on biparametric MRI for biochemical recurrence after radical prostatectomy
Chenhan HU ; Xiaomeng QIAO ; Jisu HU ; Jie BAO ; Chunhong HU ; Zeyu ZHAO ; Ximing WANG
Journal of Practical Radiology 2024;40(11):1823-1828
Objective To explore the value of a clinical-radiomics-deep learning(CRDL)fusion model based on biparametric mag-netic resonance imaging(bpMRI)in predicting biochemical recurrence(BCR)after radical prostatectomy(RP).Methods A retrospective analysis was conducted on 363 patients with prostate cancer(PCa)confirmed by RP pathology who underwent preoperative MRI,inclu-ding 84 cases experienced BCR(23.1%)and 279 cases did not experience BCR(76.9%).The patients were randomly divided into a training set(n=254)and a test set(n=109)in a ratio of 7∶3.Univariate Cox regression analysis was employed to select clinical variables related to BCR and the clinical model was constructed using backward stepwise multivariate Cox regression analysis.The radiomics features and deep learning(DL)features based on the DenseNet network were extracted.Radiomics and DL signatures were separately developed using least absolute shrinkage and selection operator(LASSO)-Cox regression algorithm.A CRDL fusion model was constructed by combining significant clinical features,DL signature and radiomics signature.The models'predictive performance for BCR was evaluated and compared using the concordance index(C-index).K-M survival curve and Log-rank test were used to assess the performance of CRDL fusion model in risk stratifica-tion of biochemical recurrence free survival(bRFS).Results In the test set,there was no statistically significant difference among C-index of radiomics signature,DL signature and clinical model(P>0.05).The CRDL fusion model achieved a C-index of 0.83,higher than the clinical model,radiomics signature,and DL signature(P=0.03,0.01,and 0.03).K-M survival curve showed a significant difference in bRFS between low-risk and high-risk patients stratified by the CRDL fusion model[P<0.000 1,hazard ratio(HR)=30.56,95%confidence interval(CI)10.64-87.75].Conclusion Radiomics signature and DL signature have comparable predictive per-formance for BCR after RP.The CRDL fusion model exhibits the best predictive efficacy for BCR,which is valuable for guiding postoperative treatment strategies in clinical practice.

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