Job Satisfaction by Chinese Primary Care Doctors Following Health Care Reform

The purpose of this study is to compare primary care doctors’ job satisfaction and factors associated with it before and after the latest health care reform in China. Data for the study were obtained from China Primary Care Workforce Surveys conducted in 2008 and 2011. Compared to results from the 2008 survey, primary care doctors (PCDs) in the 2011 survey were more satisfied with their jobs overall as well as work conditions and equipment, but less satisfied with their income. In both surveys rural CHC and village clinic doctors were less satisfied than their urban counterparts with their jobs overall, income, work condition, and equipment. Logistic regressions showed that practice setting (i.e. urban, rural, or village) and educational level were two important factors associated with job satisfaction. These findings demonstrated both significant achievements and further efforts to be made to strengthen primary care workforce and enhance their job satisfaction

A Joint Design for Full-duplex OFDM AF Relay System with Precoded Short Guard Interval

In-band full-duplex relay (FDR) has attracted much attention as an effective solution to improve the coverage and spectral efficiency in wireless communication networks. The basic problem for FDR transmission is how to eliminate the inherent self-interference and re-use the residual self-interference (RSI) at the relay to improve the end-to-end performance. Considering the RSI at the FDR, the overall equivalent channel can be modeled as an infinite impulse response (IIR) channel. For this IIR channel, a joint design for precoding, power gain control and equalization of cooperative OFDM relay systems is presented. Compared with the traditional OFDM systems, the length of the guard interval for the proposed design can be distinctly reduced, thereby improving the spectral efficiency. By analyzing the noise sources, this paper evaluates the signal to noise ratio (SNR) of the proposed scheme and presents a power gain control algorithm at the FDR. Compared with the existing schemes, the proposed scheme shows a superior bit error rate (BER) performance.Comment: 16 pages, 5 figure

GADY: Unsupervised Anomaly Detection on Dynamic Graphs

Anomaly detection on dynamic graphs refers to detecting entities whose behaviors obviously deviate from the norms observed within graphs and their temporal information. This field has drawn increasing attention due to its application in finance, network security, social networks, and more. However, existing methods face two challenges: dynamic structure constructing challenge - difficulties in capturing graph structure with complex time information and negative sampling challenge - unable to construct excellent negative samples for unsupervised learning. To address these challenges, we propose Unsupervised Generative Anomaly Detection on Dynamic Graphs (GADY). To tackle the first challenge, we propose a continuous dynamic graph model to capture the fine-grained information, which breaks the limit of existing discrete methods. Specifically, we employ a message-passing framework combined with positional features to get edge embeddings, which are decoded to identify anomalies. For the second challenge, we pioneer the use of Generative Adversarial Networks to generate negative interactions. Moreover, we design a loss function to alter the training goal of the generator while ensuring the diversity and quality of generated samples. Extensive experiments demonstrate that our proposed GADY significantly outperforms the previous state-of-the-art method on three real-world datasets. Supplementary experiments further validate the effectiveness of our model design and the necessity of each module

Strengthening health system to improve immunization for migrants in China.

BACKGROUND: Immunization is the most cost-effective method to prevent and control vaccine-preventable diseases. Migrant population in China has been rising rapidly, and their immunization status is poor. China has tried various strategies to strengthen its health system, which has significantly improved immunization for migrants. METHODS: This study applied a qualitative retrospective review method aiming to collect, analyze and synthesize health system strengthening experiences and practices about improving immunizations for migrants in China. A conceptual framework of Theory of Change was used to extract the searched literatures. 11 searched literatures and 4 national laws and policies related to immunizations for migrant children were carefully studied. RESULTS: China mainly employed 3 health system strengthening strategies to significantly improve immunization for migrant population: stop charging immunization fees or immunization insurance, manage immunization certificates well, and pay extra attentions on immunization for special children including migrant children. These health system strengthening strategies were very effective, and searched literatures show that up-to-date and age-appropriate immunization rates were significantly improved for migrant children. CONCLUSIONS: Economic development led to higher migrant population in China, but immunization for migrants, particularly migrant children, were poor. Fortunately various health system strengthening strategies were employed to improve immunization for migrants in China and they were rather successful. The experiences and lessons of immunization for migrant population in China might be helpful for other developing countries with a large number of migrant population

China’s private institutions for the education of health professionals: a time-series analysis from 1998 to 2012

Abstract Background Public institutions have been the major provider of education for health professionals in China for most of the twentieth century. In the 1990s, the Chinese government began to encourage the establishment of private education institutions, which have been steadily increasing in numbers over the past decade. However, there is a lack of authoritative data on these institutions and little has been published in international journals on the current status of private education of health professionals in China. In light of this knowledge gap, we performed a quantitative analysis of private institutions in China that offer higher education of health professionals. Methods Using previously unreleased national data provided by the Ministry of Education of China, we conducted time-series and descriptive analyses to study the scale, structure and educational resources from 1998 to 2012 of private institutions for health professional education. Results The number of private institutions that educate health professionals increased from two in 1999 to 123 in 2012. Private institutions displayed an average annual growth rate of 44.2% for enrolment, 59.0% for the number of students and 53.3% for the number of graduates. In 2012, nursing, clinical medicine and traditional Chinese medicine had the most students (37.2%, 32.8% and 8.9% respectively), representing 78.9% of all students in these institutions. Ninety-seven private institutions located in the more economically advantaged eastern and central China and only 26 ones were in the less economically advantaged western China, respectively turning out 85.2% and 14.8% of health professional graduates. There were less educational resources, such as the number of faculty members, physical space and assets, at private institutions than at public institutions. Conclusions Private institutions for the education of health professionals have emerged quickly in China, contributing to the demand for health professionals that exceeds what public institutions are able to offer. At the same time, the imbalance of geographical distribution and poor educational resources of private institutions are of concern. It may be of utmost importance to enhance administration and supervision to better regulate private institutions and their development plans. Future studies may be needed to better examine the effects of private institutions on the production and allocation of health workers.https://deepblue.lib.umich.edu/bitstream/2027.42/145446/1/12960_2018_Article_308.pd