Health Insurance Reform and Efficiency of Township Hospitals in Rural China: An Analysis from Survey Data

In the rural health-care organization of China, township hospitals ensure the delivery of basic medical services. Particularly damaged by the economic reforms implemented from 1975 to the end of the 1990s, township hospitals efficiency is questioned, mainly with the implementation since 2003 of the reform of health insurance in rural areas. From a database of 24 randomly selected township hospitals observed over the period 2000-2008 in Weifang prefecture (Shandong), the study examines the efficiency of township hospitals through a two-stage approach. As curative and preventive medical services delivered at township hospital level use different production processes, two data envelopment analysis models are estimated with different orientation chosen to compute scores. Results show that technical efficiency declines over time. Factors explaining the technical efficiency are mainly environmental characteristics rather than internal factors, but our results suggest also that in the context of China, the efficiency of township hospitals is influenced by unobservable factors.China, New Rural Cooperative Medical Scheme, Technical efficiency, data envelopment analysis, Township Hospitals.

The Impact of the New Rural Cooperative Medical Scheme on Activities and Financing of Township Hospitals in Weifang, China

Since 2003, the New Rural Cooperative Medical Scheme, a community-based health insurance, is gradually implemented in China, in order to increase the access of the poor to healthcare services, reduce out-of-pocket expenditures and avoid catastrophic health expenditures. The paper estimates the impact of the New Rural Cooperative Medical Scheme on a sample of 24 randomly selected township hospitals of Weifang prefecture (Shandong province, China), using a generalized form of differences-in-differences model on longitudinal data over the period 2000-2008. Estimations highlight three main results. First, the New Rural Cooperative Medical Scheme has a positive impact on the utilization of township hospitals, mainly on inpatient services, but none effect on their financial structure. In addition, the positive impact on the volume of discharged patients is higher in poor areas rather than the non-poor, reflecting a decrease of the burden of hospitalization costs. Lastly, the marginal impact of the reform is decreasing over time.China, New Rural Cooperative Medical Scheme, Impact analysis, Township Hospitals.

The Impact of the New Rural Cooperative Medical Scheme on Activities and Financing of Township Hospitals in Weifang, China

Since 2003, the New Rural Cooperative Medical Scheme is gradually implemented in China, in order first, to increase access of the poor to health services, reduce out-of-pocket expenditures and avoid catastrophic health expenditures and second to re-oriented patient to township hospitals. The paper estimates the impact of the New Rural Cooperative Medical Scheme on a sample of 24 township hospitals of Weifang prefecture (Shandong province), using a generalized form of differences-in-differences model on longitudinal data over the period 2000-2008. The estimations conclude to the significant and positive impact of the New Rural Cooperative Medical Scheme on inpatient activities and on the bed occupancy rate, and to the significant and negative impact on the average length of stay. As expected, the impact on inpatient activities is higher in poor areas than in non poor ones and the marginal impact is decreasing over time.China;New Rural Cooperative Medical Scheme;Impact analysis;Township Hospitals.

Curative Activities of Township Hospitals in Weifang Prefecture, China: An Analysis of Environmental and Supply-Side Determinants

Township hospitals, which are an important link of the Chinese rural healthcare system, were affected by the successive socio-economic reforms since the 1980s. As a consequence, their utilization declined. From longitudinal data covering nine years (2000-2008) and 24 township hospitals randomly selected in Weifang prefecture (Shandong province, China), this article analyses the environmental and supply-side determinants of the volume of township hospitals curative activities, measured by the number of outpatient visits and that of discharged patients. The Hausman-Taylor and the Fixed-Effect Vector Decomposition estimators are used in order to cope with time-invariant variables. Results of the estimations are confronted and highlight similar outcomes. Findings show that the New Rural Cooperative Medical Scheme, introduced in 2003, has contributed to increase the activity of township hospitals, although financial barriers remain to the access to expensive medical services. The analyses underline also that referral practices between health facilities levels should be reinforced and that the size of the township hospitals needs to be adequate with environmental factors as they appear to be over-sized.Health insurance, China, Healthcare services, Hausman-Taylor, Fixed-effects vector decomposition

The Impact of the New Rural Cooperative Medical Scheme on Activities and Financing of Township Hospitals in Weifang, China

Since 2003, the New Rural Cooperative Medical Scheme is gradually implemented in China, in order first, to increase access of the poor to health services, reduce out-of-pocket expenditures and avoid catastrophic health expenditures and second to re-oriented patient to township hospitals. The paper estimates the impact of the New Rural Cooperative Medical Scheme on a sample of 24 township hospitals of Weifang prefecture (Shandong province), using a generalized form of differences-in-differences model on longitudinal data over the period 2000-2008. The estimations conclude to the significant and positive impact of the New Rural Cooperative Medical Scheme on inpatient activities and on the bed occupancy rate, and to the significant and negative impact on the average length of stay. As expected, the impact on inpatient activities is higher in poor areas than in non poor ones and the marginal impact is decreasing over time.China;New Rural Cooperative Medical Scheme;Impact analysis;Township Hospitals.

Curative Activities of Township Hospitals in Weifang Prefecture, China: An Analysis of Environmental and Supply-Side Determinants

International audienceTownship hospitals, which are an important link of the Chinese rural healthcare system, were affected by the successive socio-economic reforms since the 1980s. As a consequence, their utilization declined. From longitudinal data covering nine years (2000-2008) and 24 township hospitals randomly selected in Weifang prefecture (Shandong province, China), this article analyses the environmental and supply-side determinants of the volume of township hospitals curative activities, measured by the number of outpatient visits and that of discharged patients. The Hausman-Taylor and the Fixed-Effect Vector Decomposition estimators are used in order to cope with time-invariant variables. Results of the estimations are confronted and highlight similar outcomes. Findings show that the New Rural Cooperative Medical Scheme, introduced in 2003, has contributed to increase the activity of township hospitals, although financial barriers remain to the access to expensive medical services. The analyses underline also that referral practices between health facilities levels should be reinforced and that the size of the township hospitals needs to be adequate with environmental factors as they appear to be over-sized.Les hôpitaux municipaux, qui sont un maillon essentiel du système de santé rural Chinois, ont été affectés par les réformes économiques successives depuis les années 1980 et ont ainsi vu leur fréquentation s’affaiblir. À partir d’observations longitudinales sur neuf années (2000-2008) et 24 hôpitaux municipaux sélectionnés de façon aléatoire dans la préfecture de Weifang (Province du Shandong, Chine), cet article analyse les facteurs d’environnement et d’offre qui influencent le volume des activités curatives des hôpitaux municipaux, mesurépar le volume de consultations externes et d’hospitalisations. Afin d’estimer l’effet de variables invariantes dans le temps, deux estimateurs sont utilisés : Hausman-Taylor et Fixed-Effect Vector Decomposition. Les résultats des estimations des deux estimateurs sont similaires. Ils montrent que le système d’assurance mutualiste graduellement introduit à partir de 2003 influence positivement l’activité des hôpitaux municipaux, même s’il subsiste des barrières financières à l’accès aux soins de santé coûteux. L’analyse souligne aussi queles liens de référencement entre les différents niveaux de structures de santé devraient être renforcés et que la taille des hôpitaux municipaux, qui semble surestimée, doit être adaptée en fonction des facteurs environnementaux

Health Insurance Reform and Efficiency of Township Hospitals in Rural China: An Analysis from Survey Data

In the rural health-care organization of China, township hospitals ensure the delivery of basic medical services. Particularly damaged by the economic reforms implemented from 1975 to the end of the 1990s, township hospitals efficiency is questioned, mainly with the implementation since 2003 of the reform of health insurance in rural areas. From a database of 24 randomly selected township hospitals observed over the period 2000-2008 in Weifang prefecture (Shandong), the study examines the efficiency of township hospitals through a two-stage approach. As curative and preventive medical services delivered at township hospital level use different production processes, two data envelopment analysis models are estimated with different orientation chosen to compute scores. Results show that technical efficiency declines over time. Factors explaining the technical efficiency are mainly environmental characteristics rather than internal factors, but our results suggest also that in the context of China, the efficiency of township hospitals is influenced by unobservable factors.China;New Rural Cooperative Medical Scheme;Technical efficiency;data envelopment analysis;Township Hospitals.

A hub gene signature as a therapeutic target and biomarker for sepsis and geriatric sepsis-induced ARDS concomitant with COVID-19 infection

BackgroundCOVID-19 and sepsis represent formidable public health challenges, characterized by incompletely elucidated molecular mechanisms. Elucidating the interplay between COVID-19 and sepsis, particularly in geriatric patients suffering from sepsis-induced acute respiratory distress syndrome (ARDS), is of paramount importance for identifying potential therapeutic interventions to mitigate hospitalization and mortality risks.MethodsWe employed bioinformatics and systems biology approaches to identify hub genes, shared pathways, molecular biomarkers, and candidate therapeutics for managing sepsis and sepsis-induced ARDS in the context of COVID-19 infection, as well as co-existing or sequentially occurring infections. We corroborated these hub genes utilizing murine sepsis-ARDS models and blood samples derived from geriatric patients afflicted by sepsis-induced ARDS.ResultsOur investigation revealed 189 differentially expressed genes (DEGs) shared among COVID-19 and sepsis datasets. We constructed a protein-protein interaction network, unearthing pivotal hub genes and modules. Notably, nine hub genes displayed significant alterations and correlations with critical inflammatory mediators of pulmonary injury in murine septic lungs. Simultaneously, 12 displayed significant changes and correlations with a neutrophil-recruiting chemokine in geriatric patients with sepsis-induced ARDS. Of these, six hub genes (CD247, CD2, CD40LG, KLRB1, LCN2, RETN) showed significant alterations across COVID-19, sepsis, and geriatric sepsis-induced ARDS. Our single-cell RNA sequencing analysis of hub genes across diverse immune cell types furnished insights into disease pathogenesis. Functional analysis underscored the interconnection between sepsis/sepsis-ARDS and COVID-19, enabling us to pinpoint potential therapeutic targets, transcription factor-gene interactions, DEG-microRNA co-regulatory networks, and prospective drug and chemical compound interactions involving hub genes.ConclusionOur investigation offers potential therapeutic targets/biomarkers, sheds light on the immune response in geriatric patients with sepsis-induced ARDS, emphasizes the association between sepsis/sepsis-ARDS and COVID-19, and proposes prospective alternative pathways for targeted therapeutic interventions

Understanding PRRSV Infection in Porcine Lung Based on Genome-Wide Transcriptome Response Identified by Deep Sequencing

Porcine reproductive and respiratory syndrome (PRRS) has been one of the most economically important diseases affecting swine industry worldwide and causes great economic losses each year. PRRS virus (PRRSV) replicates mainly in porcine alveolar macrophages (PAMs) and dendritic cells (DCs) and develops persistent infections, antibody-dependent enhancement (ADE), interstitial pneumonia and immunosuppression. But the molecular mechanisms of PRRSV infection still are poorly understood. Here we report on the first genome-wide host transcriptional responses to classical North American type PRRSV (N-PRRSV) strain CH 1a infection using Solexa/Illumina's digital gene expression (DGE) system, a tag-based high-throughput transcriptome sequencing method, and analyse systematically the relationship between pulmonary gene expression profiles after N-PRRSV infection and infection pathology. Our results suggest that N-PRRSV appeared to utilize multiple strategies for its replication and spread in infected pigs, including subverting host innate immune response, inducing an anti-apoptotic and anti-inflammatory state as well as developing ADE. Upregulation expression of virus-induced pro-inflammatory cytokines, chemokines, adhesion molecules and inflammatory enzymes and inflammatory cells, antibodies, complement activation were likely to result in the development of inflammatory responses during N-PRRSV infection processes. N-PRRSV-induced immunosuppression might be mediated by apoptosis of infected cells, which caused depletion of immune cells and induced an anti-inflammatory cytokine response in which they were unable to eradicate the primary infection. Our systems analysis will benefit for better understanding the molecular pathogenesis of N-PRRSV infection, developing novel antiviral therapies and identifying genetic components for swine resistance/susceptibility to PRRS

Data, software, and Figures used in a manuscript submitted to Geoscientific Model Development

<p>Data, software, and Figures used in 'A General Comprehensive Evaluation Method for Cross-Scale Precipitation Forecast' submitted to Geoscientific Model Development.</p&gt