Two-dimensional magnetized MXene-based hybrids, obtained by electrostatic self-assembly of Ti3C2Tx with hollow Fe3O4 nanoparticles, achieved high electromagnetic absorption performance.
BackgroundAs the world’s largest developing country, China has entered into the epidemiological phase characterized by high life expectancy and high morbidity and mortality from chronic diseases. Cardiovascular diseases, chronic obstructive pulmonary diseases, and malignant tumors have become the leading causes of death since the 1990s. Constant payments for maintaining the health status of a family member who has chronic diseases could exhaust household resources, undermining fiscal support for other necessities and eventually resulting in poverty. The purpose of this study is to probe to what degree health expenditure for chronic diseases can impoverish rural families and whether the New Cooperative Medical Scheme can effectively protect families with chronic patients against catastrophic health expenditures.MethodsWe used data from the 4th National Health Services Survey conducted in July 2008 in China. The rural sample we included in the analysis comprised 39,054 households. We used both households suffering from medical impoverishment and households with catastrophic health expenditures to compare the financial protection for families having a chronic patient with different insurance coverage statuses. We used a logistic regression model to estimate the impact of different benefit packages on health financial protection for families having a chronic patient.ResultsAn additional 10.53% of the families with a chronic patient were impoverished because of healthcare expenditure, which is more than twice the proportion in families without a chronic patient. There is a higher catastrophic health expenditure incidence in the families with a chronic patient. The results of logistic regression show that simply adding extra benefits did not reduce the financial risks.ConclusionsThere is a lack of effective financial protection for healthcare expenditures for families with a chronic patient in rural China, even though there is a high coverage rate with the New Cooperative Medical Schemes. Given the coming universal coverage by the New Cooperative Medical Scheme and the increasing central government funds in the risk pool, effective financial protection for families should be possible through systematic reform of both financing mechanisms and payment methods.
BackgroundThe increased funding and reimbursement for the New Rural Cooperative Medical System (NRCMS) have provided residents in rural China with better access to inpatient services. This research aims to examine the level of inappropriate admissions to township hospitals under NRCMS, and the determinants that influence inappropriate admissions.MethodsA total of 2,044 medical records in 10 township hospitals were collected from five counties in Midwestern China by stratified cluster sampling and evaluated using the Appropriateness Evaluation Protocol (AEP), which was developed by a Delphi expert consultation of 32 experts. A two-level logistic regression model by MLwiN 2.30 was used to examine the determinants of inappropriate admissions.ResultsTownship hospitals had an average inappropriate admission rate of 26.5%. The highest rate of inappropriate admission was among patients aged more than 59 years old (30.1%). Inappropriate admissions mostly occurred for respiratory and circulatory diseases. Township hospital similarity and clustering were observed. Two-level logistic regression analysis showed that age, treating department, and disease were determinants of inappropriate admission.ConclusionsTownship hospitals have a high rate of inappropriate admissions. Explicit diagnostic criteria and a standardized supervision system should be developed to reduce this.
Objectives To determine the predictive value of pretreatment MRI texture analysis for progression-free survival (PFS) in patients with primary nasopharyngeal carcinoma (NPC). Methods Ethical approval by the institutional review board was obtained for this retrospective analysis. In 79 patients with primary NPC, texture analysis of the primary tumour was performed on pretreatment T2 and contrast-enhanced T1-weighted images (T2WIs and CE-T1WIs). The Cox proportional hazards model was used to determine the association of texture features, tumour volume and the tumour-node-metastasis (TNM) stage with PFS. Survival curves were plotted using the Kaplan-Meier method. The prognostic performance was evaluated with the receiver operating characteristic (ROC) analyses and C-index. Results Tumour volume (hazard ratio, 1.054; 95% confidence interval [CI], 1.016–1.093) and CE-T1WI-based uniformity (hazard ratio, 0; 95% CI, 0–0.001) were identified as independent predictors for PFS ( p < 0.05). Kaplan-Meier analysis showed that smaller tumour volume (less than the cut-off value, 11.699 cm 3 ) and higher CE-T1WI-based uniformity (greater than the cut-off value, 0.856) were associated with improved PFS ( p < 0.05). The combination of CE-T1WI-based uniformity with tumour volume and the overall stage predicted PFS better (area under the curve [AUC], 0.825; Cindex, 0.794) than the tumour volume (AUC, 0.659; C-index, 0.616) or the overall stage (AUC, 0.636; C-index, 0.627) did ( p < 0.05). Conclusions A texture parameter of pretreatment CE-T1WI-based uniformity improves the prediction of PFS in NPC patients. Key Points • Higher CE-T1WI-based uniformity and smaller tumour volume are predictive of improved PFS in NPC patients. • The combination of CE-T1WI-based uniformity with tumour volume and the overall stage has a better predictive ability for PFS than the tumour volume or the overall stage alone. • Pretreatment MRI texture analysis has a prognostic value for NPC patients. Electronic supplementary material The online version of this article (10.1007/s00330-018-5961-6) contains supplementary material, which is available to authorized users.
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