How provider payment methods affect health expenditure of depressive patients? Empirical study from national claims data in China from 2013 to 2017.

BACKGROUND: This study aimed to investigate the associations between provider payment methods and expenditure of depressive patients, stratified by service types and hospital levels. METHODS: We used a 5 % random sample of urban claims data in China (2013-2017), collected by China Health Insurance Research Association. Provider payment methods (fee-for-services, global budget, capitation, case-based and per-diem payments) were the explanatory variables. A generalized linear model was fitted for the associations between provider payment methods and expenditure. All analyses were adjusted for patient"cioeconomic and health-related characteristics. RESULTS: In total, 64,615 depressive patient visits were included, 59,459 for outpatients and 5156 for inpatients. Female patients accounted for 63.00 %. The total and out-of-pocket (OOP) expenditure significantly differentiated by provider payments. Among outpatient services, when comparing with fee-for-services, capitation payment was associated with substantial marginal reduction in total and OOP expenditure (-$34.18, -$9.71) in primary institutes, yet increases ($27.26, $24.11) in secondary hospitals. Similarly, global budget was associated with lower total and OOP expenditure (-$13.51, -$1.61) in secondary hospitals, while higher total and OOP expenditure ($7.43, $32.27) in tertiary hospitals than fee-for-services. For inpatients, total and OOP expenditures under per-diem (-$857.65, -$283.48) and case-based payments (-$997.93, -$137.56) were remarkably smaller than those under fee-for-services in primary and secondary hospitals, respectively. Besides, case-base payment was only linked with the largest reduction in OOP expense (-$239.39) in inpatient services of tertiary hospitals. LIMITATION: Only urban claims data was included in this study, and investigations for rural population still warrant. And updated data are needed for future studies. CONCLUSIONS: There were varying correlations between provider payment methods and expenditure, which differed by service types and hospital levels. These findings provided empirical evidence for optimizing the mixed payment methods for depression in China.

Carbon tax and low-carbon credit: Which policy is more beneficial to the capital-constrained manufacturer's remanufacturing activities?

Remanufacturing has attracted much attention for its enormous potential in resource recycling and low-carbon emission reduction. To investigate the effects of different government intervention policies on remanufacturing and carbon emissions, two profit maximization models of the capital-constrained manufacturer under carbon tax and low-carbon credit policies are constructed respectively. Then, through theoretical and numerical analyses, some significant findings are drawn: (1) Both carbon tax and low-carbon credit policies can encourage capital-constrained manufacturers to produce more remanufactured products, but which intervention policy is more advantageous also depends on the carbon emission cost of new products or financing cost of the remanufactured products. (2) Although carbon tax policy can effectively control carbon emissions, it is always at the expense of both capital-constrained manufacturers and consumers; while low-carbon credit policy can help capital-constrained manufacturers achieve the goal of win-win economic and environmental benefits when the remanufacturing carbon savings advantages are more apparent. (3) From the perspective of consumer benefits, carbon tax is more advantageous when the consumer willingness to pay for remanufactured products is higher; otherwise, low-carbon credit policy should be implemented. (4) The higher the environmental damage coefficient is, the more it can highlight the advantages of the two intervention policies in social welfare enhancement, especially the carbon tax policy; and when the environmental damage coefficient is given, the stronger the consumers' willingness to pay for remanufactured products is, the more it is conducive to reducing the negative effects caused by the carbon tax or low-carbon credit policy in social welfare enhancement, or increasing the corresponding positive effects. Based on above findings, some managerial insights and policy implications are provided to capital-constrained manufacturers and policy-makers.

The influence of different levels of physical activity and sports performance on the accuracy of dynamic lower limbs balance assessment among Chinese physical education college students.

Background: Balance ability is the basis of human actions. Improving the accuracy of dynamic balance assessment can increase the efficiency of sports injury prediction. Objectives: This study aimed to investigate how physical activity and sports performance affect the dynamic balance ability of lower limbs and validate whether the Lower Quarter Y-Balance Test (YBT-LQ) is a reliable predictor of sports injury risk among Chinese physical education college students. Materials and Methods: In total, 169 voluntary participants completed the YBT-LQ at the beginning of a semester and provided some physiological information and an injury report at the end of the semester. The correlation between YBT-LQ performance and selected factors that can affect the dynamic balance control was analyzed based on data statistics. The receiver operating characteristic (ROC) and the area under curve (AUC) of the composite scores of the YBT-LQ were calculated to explore an optimal cutoff value for predicting sports injury risk. Results: The composite scores of the YBT-LQ exhibited strong correlations with both the sports performance level and sports injury, as well as a moderate correlation with physical activity level, age (negative), and metabolic equivalent (MET). In the entire study population, the area under the receiver operating characteristic (ROC) curves for the binary classification of composite YBT-LQ scores of the left and right legs to predict sports injury risk were 0.78 and 0.74, respectively. Stratifying the study participants based on their levels of physical activity and sports performance had an effect on the AUC values of ROC curves. The optimal cutoff scores of the YBT-LQ for predicting sports injury risk were variable, with values more or less than 95%. Specifically, the cutoff scores for participants with the highest level of sports performance were notably higher, reaching up to 106.5% (left) and 107.2% (right). Conclusion: Physical activity and sports performance can influence human dynamic balance control. Composite scores of the YBT-LQ can be used with acceptable efficiency to predict sports injury. Stratifying participants based on their levels of physical activity and sports performance leads to different optimal cutoff values of the YBT-LQ composite scores in predicting sports injury. This approach is preferable to relying solely on a uniform 95% cutoff. It is recommended to analyze individuals with higher levels of sports performance, such as elite athletes, separately from those with lower levels. This is because the former group has a higher optimal cutoff value compared to the latter.

Differences in medical costs between TCM users and TCM nonusers in inpatients with thalassemia.

BACKGROUND: Thalassemia has brought serious health threats and economic burdens to patients worldwide. There is no sovereign remedy for thalassemia, both conventional and Traditional Medicine (TM) methods have certain effects on this disease. As typical of TM, Traditional Chinese Medicine (TCM) has been widely used in the treatment of thalassemia. Previous studies mainly focused on conventional treatments for thalassemia and patients' medical burden, but no research has examined the effects of TCM use on the economic burdens for thalassemia inpatients in mainland China. The main objective of this study is to compare the medical cost differences between TCM users and TCM nonusers, furtherly, we will discuss the role of TCM use in the treatment of thalassemia. METHODS: We employed the 2010-2016 Medicare claims database provided by the China Health Insurance Research Association (CHIRA). Chi-square and Mann-Whitney tests were used to analyze the differences between TCM users and TCM nonusers. Multiple regression analysis was performed using the ordinary least squares method to compare the TCM users' inpatient medical cost with TCM nonusers', and to further examine the correlation between TCM cost, conventional medication cost and nonpharmacy cost for TCM users. RESULTS: A total of 588 urban thalassemia inpatients were identified, including 222 TCM users and 366 TCM nonusers. The inpatient medical cost of TCM users was RMB10,048 (USD1,513), which was significantly higher than TCM nonusers (RMB1,816 (USD273)). Total inpatient cost for TCM users was 67.4% higher than those of TCM nonusers (P < 0.001). With confounding factors fixed, we found that the conventional medication cost and nonpharmacy cost were positively correlated with TCM cost. CONCLUSION: Total hospitalization expenses for TCM users were higher than TCM nonusers. Both the conventional medication cost and nonpharmacy cost of TCM users were all higher than TCM nonusers. We infer TCM plays a complementary role, rather than an alternative, in the treatment of thalassemia due to the lack of cooperative treatment guidelines. It is recommended that a cooperative diagnosis and treatment guidelines should be generated to balance the use of TCM and conventional medicine for treating thalassemia, so as to reduce the economic burdens on patients.

Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study.

BACKGROUND: Traditional Chinese Medicine (TCM) has long been a widely recognized medical approach and has been covered by China's basic medical insurance schemes to treat lung cancer. But there was a lack of nationwide research to illustrate the impact of the use of TCM on lung cancer patients' economic burden in mainland China. Therefore, we conduct a nationwide study to reveal whether the use of TCM could increase or decrease the medical expenditure of lung cancer inpatients in mainland China. METHODS: This is a 7-year cross-sectional study from 2010 to 2016. The data is a random sample of 5% from lung cancer claims data records of Chinese Urban Employee Basic Medical Insurance (UEBMI) and Urban Resident Basic Medical Insurance (URBMI). Mann-Whitney test was used to compare inpatient cost data with positive skewness. Ordinary least squares regression analysis was performed to compare the total TCM users' hospitalization cost with TCM nonusers', to examine whether TCM use is the key factor inducing relatively high medical expenditure. RESULT: A total of 47,393 lung cancer inpatients were included in this study, with 38,697 (81.7%) of them at least using one kind of TCM approach. The per inpatient medical cost of TCM users was RMB18,798 (USD2,830), which was 65.2% significantly higher than that of TCM nonusers (P < 0.001). The medication cost, conventional medication cost, and nonpharmacy cost of TCM users were all higher than TCM nonusers, illustrating the higher medical cost of TCM users was not induced by TCM only. With confounding factors fixed, there was a positive correlation between TCM cost and conventional medication cost, nonpharmacy cost (Coef. = 0.283 and 0.211, all P < 0.001), indicting synchronous increase of TCM costs and conventional medication cost for TCM users. CONCLUSION: The use of TCM could not offset the utilization of conventional medicine, demonstrating TCM mainly played a complementary role but not an alternative role in the inpatient treatment of lung cancer. A joint Clinical Guideline that could balance the use of TCM and Conventional medicine should be developed for the purpose of reducing economic burden for lung cancer inpatients.

Medical insurance payment schemes and patient medical expenses: a cross-sectional study of lung cancer patients in urban China.

BACKGROUND: As the main cause of cancer death, lung cancer imposes seriously health and economic burdens on individuals, families, and the health system. In China, there is no national study analyzing the hospitalization expenditures of different payment methods by lung cancer inpatients. Based on the 2010-2016 database of insured urban resident lung cancer inpatients from the China Medical Insurance Research Association (CHIRA), this paper aims to investigate the characteristics and cost of hospitalized lung cancer patient, to examine the differences in hospital expenses and patient out-of-pocket (OOP) expenses under four medical insurance payment methods: fee-for-service (FFS), per-diem payments, capitation payments (CAP) and case-based payments, and to explore the medical insurance payment method that can be conducive to controlling the cost of lung cancer. METHOD: This is a 2010-2016, 7-year cross-sectional study. CHIRA data are not available to researchers after 2016. The Medical Insurance Database of CHIRA was screened using the international disease classification system to yield 28,200 inpatients diagnosed with lung cancer (ICD-10: C34, C34.0, C34.1, C34.2, C34.3, C34.8, C34.9). The study includes descriptive analysis and regression analysis based on generalized linear models (GLM). RESULTS: The average patient age was 63.4 years and the average length of hospital stay (ALOS) was 14.2 day; 60.7% of patients were from tertiary hospitals; and 45% were insured by FFS. The per-diem payment had the lowest hospital expenses (RMB7496.00/US$1176.87), while CAP had the lowest OOP expenses (RMB1328.18/US$208.52). Compared with FFS hospital expenses, per-diem was 21.3% lower (95% CI = -0.265, -0.215) and case-based payment was 8.4% lower (95% CI = -0.151, -0.024). Compared with the FFS, OOP expenses, per-diem payments were 9.2% lower (95% CI = -0.130, -0.063) and CAP was 15.1% lower (95% CI = -0.151, -0.024). CONCLUSION: For lung cancer patients, per-diem payment generated the lowest hospital expenses, while CAP meant patients bore the lowest OOP costs. Policy makers are suggested to give priority to case-based payments to achieve a tripartite balance among medical insurers, hospitals, and insured members. We also recommend future studies comparing the disparities of various diseases for the cause of different medical insurance schemes.

Gradual financial integration and macroeconomic fluctuations in emerging market economies: evidence from China.

This paper extends the conventional DSGE literature by developing a New Keynesian DSGE model featuring imperfect financial markets with various friction costs, which allows for the study of macroeconomic dynamics under different levels of financial integration. We conduct Bayesian estimation and draw implications on the macroeconomic effects of gradual financial integration using the Chinese economy as an example. We find that macroeconomic fluctuations vary with different levels of financial integration and the specific relationship depends on the nature of exogenous shocks. Variance decomposition analysis shows that as financial integration increases, the contribution of foreign exchange shocks declines while that of domestic shocks increases. We also find that there is a notable enhancement of welfare associated with improvement in financial integration, and the effectiveness of monetary policy in emerging market economies would be weakened as financial integration increases.

Development and Validation of Algorithms to Estimate Live Birth Gestational Age in Medicaid Analytic eXtract Data.

BACKGROUND: While healthcare utilization data are useful for postmarketing surveillance of drug safety in pregnancy, the start of pregnancy and gestational age at birth are often incompletely recorded or missing. Our objective was to develop and validate a claims-based live birth gestational age algorithm. METHODS: Using the Medicaid Analytic eXtract (MAX) linked to birth certificates in three states, we developed four candidate algorithms based on: preterm codes; preterm or postterm codes; timing of prenatal care; and prediction models - using conventional regression and machine-learning approaches with a broad range of prespecified and empirically selected predictors. We assessed algorithm performance based on mean squared error (MSE) and proportion of pregnancies with estimated gestational age within 1 and 2 weeks of the gold standard, defined as the clinical or obstetric estimate of gestation on the birth certificate. We validated the best-performing algorithms against medical records in a nationwide sample. We quantified misclassification of select drug exposure scenarios due to estimated gestational age as positive predictive value (PPV), sensitivity, and specificity. RESULTS: Among 114,117 eligible pregnancies, the random forest model with all predictors emerged as the best performing algorithm: MSE 1.5; 84.8% within 1 week and 96.3% within 2 weeks, with similar performance in the nationwide validation cohort. For all exposure scenarios, PPVs were >93.8%, sensitivities >94.3%, and specificities >99.4%. CONCLUSIONS: We developed a highly accurate algorithm for estimating gestational age among live births in the nationwide MAX data, further supporting the value of these data for drug safety surveillance in pregnancy. See video abstract at, http://links.lww.com/EDE/B989 .

Analysis of the Green Development Effects of High-Speed Railways Based on Eco-Efficiency: Evidence from Multisource Remote Sensing and Statistical Data of Urban Agglomerations in the Middle Reaches of the Yangtze River, China.

As part of the modern transport infrastructure, high-speed railways (HSRs) have been considered an important factor affecting eco-efficiency (EE). This study used multisource remote sensing and statistical data from 185 counties representing urban agglomerations in the middle reaches of the Yangtze River (UAMRYR) in China from 2009 to 2018. The study integrated ArcGIS analysis, the Super-SBM (super slack-based measure) model, and the DSPDM (dynamic spatial panel Durbin model) to explore the spatial effects of HSRs on EE. The results showed that the coordinates of the interannual centers of gravity for EE and HSRs both fell in the same county, possessing similar parameter values for the standard deviation elliptical, a negative spatial mismatch index, and obvious spatial mismatch characteristics. In different spatially dislocated areas, the spatial effects of HSRs on EE are variable. Overall, the short-term effects are more intense than the long-term effects, and both the long-term and short-term effects are dominated by the effects of spatial spillover. A new perspective is proposed to explore the green development effects of HSRs, with a view to providing policy implications for the enhancement of EE and the planning of HSRs.

Financial Fraud Identification Based on Stacking Ensemble Learning Algorithm: Introducing MD&A Text Information.

In recent years, there have been frequent incidents of financial fraud committed through various means. How to more efficiently identify financial fraud and maintain capital market order is a problem that scholars from all walks of life are discussing and urgently seeking to resolve. In this study, a financial fraud identification model is constructed based on the stacking ensemble learning algorithm, and the text of the management discussion and analysis (MD&A) chapter in annual reports is introduced based on financial and nonfinancial variables, using sentiment polarity, emotional tone, and text readability as text variables. The results show that when considering financial and nonfinancial variables and introducing text variables, the recognition effect of the stacking ensemble learning model constructed in this study is significantly better than the classification results of each single classifier model. In addition, the model recognition effect is better after adding text variables. Therefore, the model is expected to provide a new and more effective method of identifying financial fraud.

Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China.

In the context of continuing to promote the construction of an ecological civilization, it is of great significance to explore green development performance. However, most of the literature is based on a single perspective of level or efficiency, lacking a comprehensive examination of both. It is not scientific to explore how to promote green development only from a single perspective, which may be a new advancement by breaking the conventional thinking focusing only on level or efficiency. On this basis, we first established evaluation index systems of green development performance based on a theoretical framework. Furthermore, green development performance was measured with the entropy weight technique for order preference by similarity to ideal solution (TOPSIS) and super-EBM models, and finally, we analyzed the spatial and temporal evolution patterns of green development performance using the ESDA method and examined its influencing factors with a geographic detector (GD) and econometric models. The main results were as follows: (1) The trend of the green development level in the Yangtze River Economic Belt from 2004 to 2017 had an inverted "N" shape, while the overall average green development efficiency continuously increased. (2) In terms of spatial and temporal patterns, both the green development level and green development efficiency showed "high in the east and low in the west" spatial divergence characteristics. In terms of the spatial and temporal evolution pattern of the green development level, the L-L clusters were mainly distributed in the western region. However, for green development efficiency, the L-L clusters were mostly distributed around the H-H clusters. (3) The results of the influencing factor analysis indicated that industrial structure and people's welfare are still important factors of the green development level. The improvement of green development efficiency was mainly driven by economic development, and the inhibiting effect of energy consumption is significant. In addition, the effect of opening up has not yet changed from a "pollution paradise" to a "pollution halo".

Mortality Among Parkinson's Disease Patients Treated With Pimavanserin or Atypical Antipsychotics: An Observational Study in Medicare Beneficiaries.

OBJECTIVE: Pimavanserin, a serotonin 5-HT2 antagonist, is indicated for treatment of hallucinations and delusions associated with Parkinson's disease psychosis. In premarketing trials in patients with Parkinson's disease psychosis, 11% of patients died during open-label pimavanserin treatment. Antipsychotics, which are used off-label in Parkinson's disease psychosis, increase mortality in dementia patients. The authors compared mortality with pimavanserin and atypical antipsychotics in a large database. METHODS: This was a retrospective new-user cohort study of Medicare beneficiaries with Parkinson's disease initiating pimavanserin (N=3,227) or atypical antipsychotics (N=18,442) from April 2016 to March 2019. All-cause mortality hazard ratios and 95% confidence intervals were estimated for pimavanserin compared with atypical antipsychotics, using segmented proportional hazards regression over 1-180 and 181+ days of treatment. Potential confounding was addressed through inverse probability of treatment weighting (IPTW). RESULTS: Pimavanserin users had a mean age of approximately 78 years, and 45% were female. Before IPTW, some comorbidities were more prevalent in atypical antipsychotic users; after IPTW, comorbidities were well balanced between groups. In the first 180 days of treatment, mortality was approximately 35% lower with pimavanserin than with atypical antipsychotics (hazard ratio=0.65, 95% CI=0.53, 0.79), with approximately one excess death per 30 atypical antipsychotic-treated patients; however, during treatment beyond 180 days, there was no additional mortality advantage with pimavanserin (hazard ratio=1.05, 95% CI=0.82, 1.33). Pimavanserin showed no mortality advantage in nursing home patients. CONCLUSIONS: Pimavanserin use was associated with lower mortality than atypical antipsychotic use during the first 180 days of treatment, but only in community-dwelling patients, not nursing home residents.

Differences in medical costs among urban lung cancer patients with different health insurance schemes: a retrospective study.

BACKGROUND: Health insurance plays a significant role in reducing the financial burden for lung cancer patients. However, limited research exists regarding the differences in medical costs for lung cancer patients with different insurance schemes across different cities. We aimed to assess disparities in lung cancer patients' costs by insurance type and city-specific insurance type. METHODS: Claim data of China Urban Employees' Basic Medical Insurance (UEBMI) and Urban Residents' Basic Medical Insurance (URBMI) between 2010 and 2016 were employed to investigate differences in medical costs. This study primarily applied descriptive analysis and a generalized linear model with a gamma distribution and a log link. RESULTS: In total, 92,856 lung cancer patients with inpatient records were identified, with Renminbi (RMB) 11,276 [6322-20,850] (median [interquartile range]) medical costs for the UEBMI group and RMB 8303 [4492-14,823] for the URBMI group. Out-of-pocket (OOP) expenses for the UEBMI group was RMB 2143 [1108-4506] and RMB 2975 [1367-6275] for the URBMI group. The UEBMI group also had significantly higher drug costs, medical service costs, and medical consumable costs, compared to the URBMI group. Regarding city-specific insurances, medical costs for the UEBMI and the URBMI lung cancer patients in Shanghai were RMB 9771 [5183-16,623] and RMB 9741 [5924-16,067], respectively. In Xianyang, the medical costs for UEBMI and URBMI patients were RMB 11,398 [6880-20,648] and RMB 9853 [5370-24,674], respectively. The regression results showed that the UEBMI group had 27.31% fewer OOP expenses than the URBMI group did, while patients in Xiangyang and Xianyang had 39.53 and 35.53% fewer OOP expenses, respectively, compared to patients in Shanghai. CONCLUSIONS: Compared with the URBMI patients, the UEBMI lung cancer patients obtained more or even better health services and had reduced financial burden. The differences in insurances among cities were greater, compared to those among insurances within cities, and the differences in OOP expenses between cities were greater compared to those between UEBMI and URBMI. Our results called for further reform of China's fragmented insurance schemes.

Medical costs and hospital utilization for hemophilia A and B urban inpatients in China: a national cross-sectional study.

BACKGROUND: Hemophilia care in mainland China has been greatly improved since the establishment of the Hemophilia Treatment Center Collaborative Network of China (HTCCNC), and most of drugs for hemophilia have been covered by basic medical insurance schemes. This study assesses whether medical costs and hospital utilization disparities exist between hemophilia A and hemophilia B urban inpatients in China and, second, whether the prescription of coagulation factor concentrates for hemophilia A and hemophilia B inpatients was optimal, from the third payer perspective. METHODS: We conducted a retrospective nationwide analysis based on a 5% random sample from claims data of China Urban Employees' Basic Medical Insurance (UEBMI) and Urban Residents' Basic Medical Insurance (URBMI) schemes from 2010 to 2016. Univariate analysis and multiple regression analysis based on a generalized linear model were conducted. RESULT: A total of 487 urban inpatients who had hemophilia were identified, including 407 inpatients with hemophilia A and 80 inpatients with hemophilia B. Total medical cost for hemophilia B inpatients was significantly higher than for hemophilia A inpatients (USD 2912.81 versus USD 1225.60, P < 0.05), and hemophilia B inpatients had a significantly longer length of hospital stay than hemophilia A inpatients (9.00 versus 7.00, P < 0.05). Total medical costs were mostly allocated to coagulation factor products (76.86-86.68%), with coagulation factor cost of hemophilia B significantly higher than hemophilia A (P < 0.05). Both hemophilia cohorts utilized greatest amount of plasma-derived Factor VIII, followed by recombinant Factor VIII and prothrombin complex concentrates. CONCLUSIONS: Patients with hemophilia B experienced significantly higher inpatient cost, coagulation factor cost and longer length of hospital stay than patients with hemophilia A. Our findings revealed the suboptimal use of coagulation factor concentrate drugs and a higher drug cost burden incurred by hemophilia B than hemophilia A inpatients. Our results call for efforts to strengthen drug regulatory management for hemophilia and to optimize medical insurance schemes according to hemophilia types.

Managing Urban Stroke Health Expenditures in China: Role of Payment Method and Hospital Level.

BACKGROUND: Stroke is one of the leading public health issues in China and imposes a heavy financial burden on patients and the healthcare system. This study assess which payment method provides the lowest hospital costs for China's healthcare system and the lowest out-of-pocket (OOP) expense for insured patients. METHODS: This is a 4-year cross-sectional study. From the China Health Insurance Research Association (CHIRA) database, a 5% random sample of urban health insurance claims was obtained. Descriptive analysis was conducted and a generalized linear model (GLM) with a gamma distribution and a log link was estimated. RESULTS: For outpatients, capitation payment had the lowest hospital cost (RMB180.9/US$28.8) and lowest OOP expenses (RMB75.6/US$12.0) per patient visit in primary hospitals compared with fee-for-service (FFS) payments. The global budget (GB) displayed the lowest total hospital costs (RMB344.7/US$54.8) in secondary hospitals, and was 27.4% (95% CI=-0.32, -0.29) lower than FFS. FFS had the lowest OOP expenses (RMB123.4/US$19.6 vs. RMB151.8/US$24.1) in secondary and tertiary hospitals. For inpatients, FFS had the lowest total hospital costs (RMB5918.7/US$941.1) per visit and capitation payments had the lowest OOP expenses (RMB876.5/US$139.4, 40.1% lower than FFS, 95% CI=-0.58, -0.15) in primary hospitals. Capitation payment had both the lowest hospital costs (RMB7342.9/US$1167.5 vs. RMB17 711.7/US$2816.2) and the lowest OOP expenses (RMB1664.2/US$264.6 vs. RMB3276.3/US$520.9) for both secondary and tertiary hospitals. CONCLUSION: For outpatients in primary hospitals and inpatients in secondary and tertiary hospitals, the capitation payment was the most money-saving payment method delivering both the lowest OOP expenses for patients and the lowest hospital total costs for hospitals. We recommend that health policymakers prioritize the implementation of the payment method with the lowest OOP expenses when the payment method does not deliver both the lowest hospital costs for the health system and lowest OOP expenses for patients.

Medical Service Utilization and Direct Medical Cost of Stroke in Urban China.

BACKGROUND: Understanding the treatment costs of stroke can guide health policies and interventions. However, few studies have analyzed the treatment costs of stroke in China. The aim of this study is to assess stroke-related medical service utilization, direct costs of stroke and associated stroke predictors, and, second, to understand the structure of medical resource use. METHODS: This study used a 5% random sample of claim data from China's Urban Basic Medical Insurance between January 2013 to December 2016. The sampling design assigned a sample weight to each beneficiary. Weighted descriptive analyses, Poisson regression and generalized linear model were used to analyze the medical service utilization, costs and their associations with patient characteristics. RESULTS: In urban China, the annual prevalence of stroke was 730.43 (95% CI = 730.10-730.76) cases per 100 000 people, and nearly 2% of total health expenditures of urban residents was spent on stroke-related medical costs. Weighted average annual total medical cost of stroke was RMB10 637 [95% CI = 10 435-10 840] (US$1682, 95% CI = 1650-1714), with annual out-of-pocket (OOP) cost of RMB3093 [95% CI = 3026-3161] (US$489, 95% CI = 478-500). The average yearly number of stroke-related outpatient visit was 1.67 [SD = 3.39] and inpatient admission was 0.79 [SD = 0.83], with an average cost of RMB440 [SD = 739] (US$70, SD = 117) for outpatients and RMB12 702 [SD = 21 424] (US$2008, SD = 3387) for inpatients. Inpatient costs accounted for 94% (RMB10 034 or US$ 1586) of medical costs, and tertiary hospitals were the main provider of stroke care. Stroke-related medical care utilization and direct costs were associated with gender, age, pathological stroke types and insurance status. Medication costs contributed to 50.6% (RMB5382 or US$ 851) of the average stroke-related medical costs. CONCLUSION: China's health system bares a large economic burden from stroke. Specific policies are needed to strengthen the capacity of secondary hospitals, alter the structure of medical resource allocation, and target specific sections of the stroke population.

Use of Traditional Chinese Medicine and Its Impact on Medical Cost among Urban Ischemic Stroke Inpatients in China: A National Cross-Sectional Study.

BACKGROUND: Traditional Chinese medicine (TCM) has long been widely adopted by the Chinese people and has been covered by China's basic medical insurance schemes to treat ischemic stroke. Previous research has mainly highlighted the therapy effect of TCM on ischemic stroke patients. Some studies have demonstrated that employing TCM can reduce the medical burden on other diseases. But no research has explored whether using TCM could reduce inpatient medical cost for ischemic stroke in mainland China. The purpose of this study is to investigate the impact of the use of TCM on the total inpatient cost of ischemic stroke and to explore whether TCM has played the role of being complementary to, or an alternative for, conventional medicine to treat ischemic stroke. METHODS: We conducted a national cross-sectional analysis based on a 5% random sample from claims data of China Urban Employee Basic Medical Insurance (UEBMI) and Urban Resident Basic Medical Insurance (URBMI) schemes in 2015. Mann-Whitney test was used to compare unadjusted total inpatient cost, conventional medication cost, and nonpharmacy cost estimates. Ordinary least square regression analysis was performed to compare demographics-adjusted total inpatient cost and to examine the association between TCM cost and conventional medication cost. RESULTS: A total of 47321 urban inpatients diagnosed with ischemic stroke were identified in our study, with 92.6% (43843) of the patients using TCM in their inpatient treatment. Total inpatient cost for TCM users was significantly higher than TCM nonusers (USD 1217 versus USD 1036, P < 0.001). Conventional medication cost was significantly lower for TCM users (USD 335 versus USD 436, P < 0.001). The average cost of TCM per patient among TCM users was USD 289. Among TCM users, conventional medication costs were found to be positively associated with TCM cost after adjusting for confounding factors (Coef. = 0.144, P < 0.001). CONCLUSION: Although the use of TCM reduced the cost of conventional medicine compared with TCM nonusers, TCM imposed an extra financial component on the total inpatient cost on TCM users. Our study suggests that TCM mainly played a complementary role to conventional medicine in ischemic stroke treatment in mainland China.

An equity evaluation in stroke inpatients in regard to medical costs in China: a nationwide study.

BACKGROUND: Stroke has always been a severe disease and imposed heavy financial burden on the health system. Equity in patients in regard to healthcare utilization and medical costs are recognized as a significant factor influencing medical quality and health system responsiveness. The aim of this study is to understand the equity in stroke patients concerning medical costs and healthcare utilization, as well as identify potential factors contributing to geographic variation in stroke patients' healthcare utilization and costs. METHODS: Covering 31 provinces in mainland China, our main data were a 5% random sample of stroke claims from Urban Employees Basic Medical Insurance (UEBMI) and Urban Residents Basic Medical Insurance (URBMI) from 2013 to 2016. The Theil index was employed to evaluate the equity in stroke patients in regard to healthcare utilization and medical costs, and the random-effect panel model was used to explore the impact of province-level factors (health resource factors, enabling factors, and economic factors) on medical costs and health care utilization. RESULTS: Stroke patients' healthcare utilization and medical costs showed significant differences both within and between regions. The UEBMI scheme had an overall lower Theil index value than the URBMI scheme. The intra-region Theil index value was higher than the inter-region Theil index, with the Theil index highest within eastern China, China's richest and most developed region. Health resource factors and enabling factors (represented by reimbursement rate and education attainment years) were identified significantly associated with medical costs (P < 0.05), but have no impact on average length of stay. CONCLUSIONS: China's fragmented urban health insurance schemes require further reform to ensure better equity in healthcare utilization and medical costs for stroke patients. Improving education attainment, offering equal access to healthcare, allocating health resources reasonably and balancing health services prices in different regions also count.

Methylated SFRP2 and SDC2 in stool specimens for Colorectal Cancer early detection: A cost-effective strategy for Chinese population.

Background: The aim of this study was to evaluate the feasibility of combination of methylated SFRP2 and methylated SDC2 (SpecColon test) in stool specimens for colorectal cancer (CRC) early detection and to optimize the cut-off value of methylated SFRP2 and methylated SDC2. Methods: Approximately 5 g of stool specimen each was collected from 420 subjects (291 in the training cohort and 129 in the validation cohort). Stool DNA was extracted and bisulfite-converted, followed by detection of methylated level of SFRP2 and SDC2. Youden index was employed to determine the cut-off value. Results: The whole operating time for stool SpecColon test takes less than 5 hours. The limit of detection of combination of methylated SFRP2 and methylated SDC2 was as low as 5 pg per reaction. The optimized cut-off value was methylated SFRP2 analyzed by 3/3 rule and methylated SDC2 analyzed by 2/3 rule. In the training cohort, the sensitivities of stool SpecColon test for detecting AA and early stage CRC (stage 0-II) were 53.8% (95% CI: 26.1%-79.6%) and 89.1% (95% CI: 77.1%-95.5%) with a specificity of 93.5% (95% CI: 87.2%-96.9%), and the AUC for CRC diagnosis was 0.879 (95% CI: 0.830-0.928). Similar performance was achieved by SpecColon test also in the validation cohort, where its sensitivities for detecting AA and early stage CRC (stage 0-II) were 61.5% (95% CI: 32.3-84.9%) and 88.5% (95% CI: 68.5%-97.0%) with a specificity of 89.5% (95% CI: 74.3-96.7%). Conclusion: Combined detections of methylated SFRP2 and methylated SDC2 in stool samples demonstrated high sensitivities and specificity for the detection of AA and early stage CRC. Therefore, this combination has the potential to become an accurate and cost-effective tool for CRC early detection.