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Hanoi, Vietnam

Hanoi Medical University is the oldest university of Vietnam located in Hanoi. HMU was found in 1902 by French during the French colonisation under the name Indochina Medical College. The first headmaster of HMU was Alexandre Yersin who was the co-discoverer of the bacillus responsible for the bubonic plague or pest, which was renamed in his honour . Wikipedia.

While there is accumulated evidence showing the rapid rise of the burden caused by non-communicable diseases (NCDs) in Vietnam, information on the extent to which households in the country suffer financial catastrophe or impoverishment caused by the diseases is still largely lacking. This paper aims to examine the self-reported prevalence of major chronic diseases among a population in rural Vietnam and to analyse the household financial burden associated with these diseases. A cross-sectional survey of 800 randomly selected households was carried out in Vo Nhai District, Thai Nguyen Province, in 2010. Face-to-face interviews were conducted with key informants of selected households on diagnosed chronic NCDs, health care utilization and health expenditure of all household members. The World Health Organization's definitions of catastrophic expenditure and impoverishment were used. Both descriptive and analytical statistics were applied. The prevalence of chronic NCDs in households and individuals was 29.3 and 33.4%, respectively. The catastrophic health expenditure and impoverishment rates among the households who have at least one member with a chronic disease were 14.6 and 7.6%, respectively. These rates were significantly higher than the corresponding figures among the households whose members were free from the diseases (4.2 and 2.3%, respectively). The odds of experiencing catastrophic health expenditure and impoverishment among the household with NCD patients were 3.2 and 2.3 times greater than that of other households. Findings from this study indicate that the epidemiological and household financial burdens caused by chronic diseases in Vietnam are now substantial and need immediate mitigation measures.

Agency: Cordis | Branch: FP7 | Program: CSA-CA | Phase: HEALTH.2011.3.4-2 | Award Amount: 2.20M | Year: 2011

This project will add new research training capacity at low and middle-income countries (LMICs) in Asia, for promoting research on social determinants of health (RSDH). The focus is doctoral and post doctoral training, institutional strengthening for education, financial and administrative research management, and LMICs-based network building. Novel capacity building approaches will reduce brain drain, be more climate friendly and encourage gender equity with LMICs-based training. Internet mounted downloadable modules in related disciplines, like epidemiology, anthropology, economic methods, etc., will support excellent interdisciplinary courses. Addressing social determinants of health and tackling health inequity are research intensive, incremental improvement to measurement and understanding, implementation and evaluation. Therefore LMICs need to grow their own capacity to strengthen RSDH: interdisciplinary, rigorous and relevant. ARCADE-RSDH will support evidence informed decision making by producing a stream of well-trained young RSDH scientists, the next generation of health system leaders and researchers in LMICs. Activities will be aimed at individuals, institutions and the network. Tongji Medical College of HUST (TJMC, China), CBCI Society of Medical Education (SJNAHS, India) and Public Health Foundation of India (PHFI, India) are strong Asian Universities with RSDH focus. They will act as hubs in a network including TJMC, SJNAHS, PHFI, Beijing Normal University (BNU, China), Zhejiang University (ZJU, China), Indian Institute of Health Management Research (IIHMR, India), Ruxmaniben Deepchand Gardi Medical College (UCTH, India) and initially Sultan Qaboos University (SQU, Oman), Hanoi Medical University (HMU, Vietnam), working with strong European RSDH institutions (Karolinska Institutet KI, Sussex University Institutet for Development Studies IDS and University of Tampere UTA). This region-wide approach will draw skills, resources and students to a new LMICs-based RSDH capacity development network.

Hanh N.T.,Hanoi Medical University
BMC public health | Year: 2011

HIV testing for pregnant women is an important component for the success of prevention of mother-to-child transmission of HIV (PMTCT). A lack of antenatal HIV testing results in loss of benefits for HIV-infected mothers and their children. However, the provision of unnecessary repeat tests at a very late stage of pregnancy will reduce the beneficial effects of PMTCT and impose unnecessary costs for the individual woman as well as the health system. This study aims to assess the number and timing of antenatal HIV testing in a low-income setting where PMTCT programmes have been scaled up to reach first level health facilities. A cross-sectional community-based study was conducted among 1108 recently delivered mothers through face-to-face interviews following a structured questionnaire that focused on socio-economic characteristics, experiences of antenatal care and HIV testing. The prevalence of women who lacked HIV testing among the study group was 10% while more than half of the women tested had had more than two tests during pregnancy. The following factors were associated with the lack of antenatal HIV test: having two children (aOR 2.1, 95% CI 1.3-3.4), living in a remote rural area (aOR 7.8, 95% CI 3.4-17.8), late antenatal care attendance (aOR 3.6, 95% CI 1.3-10.1) and not being informed about PMTCT at their first antenatal care visits (aOR 7.4, 95% CI 2.6-21.1). Among women who had multiple tests, 80% had the second test after 36 weeks of gestation. Women who had first ANC and first HIV testing at health facilities at primary level were more likely to be tested multiple times (OR 2.9 95% CI 1.9-4.3 and OR = 4.7 95% CI 3.5-6.4), respectively. Not having an HIV test during pregnancy was associated with poor socio-economic characteristics among the women and with not receiving information about PMTCT at the first ANC visit. Multiple testing during pregnancy prevailed; the second tests were often provided at a late stage of gestation.

Toan T.T.,Hanoi Medical University
Global health action | Year: 2013

Dengue fever (DF) in Vietnam remains a serious emerging arboviral disease, which generates significant concerns among international health authorities. Incidence rates of DF have increased significantly during the last few years in many provinces and cities, especially Hanoi. The purpose of this study was to detect DF hot spots and identify the disease dynamics dispersion of DF over the period between 2004 and 2009 in Hanoi, Vietnam. Daily data on DF cases and population data for each postcode area of Hanoi between January 1998 and December 2009 were obtained from the Hanoi Center for Preventive Health and the General Statistic Office of Vietnam. Moran's I statistic was used to assess the spatial autocorrelation of reported DF. Spatial scan statistics and logistic regression were used to identify space-time clusters and dispersion of DF. The study revealed a clear trend of geographic expansion of DF transmission in Hanoi through the study periods (OR 1.17, 95% CI 1.02-1.34). The spatial scan statistics showed that 6/14 (42.9%) districts in Hanoi had significant cluster patterns, which lasted 29 days and were limited to a radius of 1,000 m. The study also demonstrated that most DF cases occurred between June and November, during which the rainfall and temperatures are highest. There is evidence for the existence of statistically significant clusters of DF in Hanoi, and that the geographical distribution of DF has expanded over recent years. This finding provides a foundation for further investigation into the social and environmental factors responsible for changing disease patterns, and provides data to inform program planning for DF control.

Job satisfaction among health workers is an important indicator in assessing the performance and efficiency of health services. This study measured job satisfaction and determined associated factors among health workers in 38 commune health stations in an urban district and a rural district of Hanoi, Vietnam. A total of 252 health workers (36 medical doctors and 216 nurses and technicians; 74% female) were interviewed. A job satisfaction measure was developed using factor analysis, from which four dimensions emerged, namely 'benefits and prospects,' 'facility and equipment,' 'performance,' and 'professionals.' The results demonstrate that respondents were least satisfied with the following categories: salary and incentives (24.0%), benefit packages (25.1%), equipment (35.7%), and environment (41.8%). The average satisfaction score was moderate across four domains; it was the highest for 'performance' (66.6/100) and lowest for 'facility and equipment' (50.4/100). Tobit-censored regression models, constructed using stepwise selection, determined significant predictors of job satisfaction including age, areas of work and expertise, professional education, urban versus rural setting, and sufficient number of staff. The findings highlight the need to implement health policies that focus on incentives, working conditions, workloads, and personnel management at grassroots level.

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