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Medication adherence plays a crucial role in effectively managing hypertension, a significant public health concern, especially in regions like Central Vietnam. This study aimed to assess medication adherence levels among hypertensive patients in primary care settings and explore the factors influencing adherence within this specific population. We conducted a cross-sectional study to evaluate medication adherence and its determinants among individuals with hypertension in Central Vietnam. Medication adherence was assessed using the 5-item version of the Medication Adherence Report Scale self-report. We collected data on the demographics, medical history, lifestyle, hypertension knowledge, along with the patient beliefs and perceptions about hypertension. Logistic regression analysis was employed to identify the key factors associated with their medication adherence. Our study revealed that only half of the hypertensive patients adhered to their prescribed medication regimens. Several factors significantly influenced their medication adherence, including age, ethnicity, educational level, home blood pressure monitoring, healthy diet, time since hypertension diagnosis, hypertension knowledge, and patient beliefs. According to the logistic regression analysis, a healthy diet and patient beliefs emerged as primary predictors of medication adherence. Patients who strongly believed in the necessity of medication demonstrated better adherence, while concerns about overuse and harm were linked to lower adherence levels. This study highlighted the suboptimal levels of medication adherence among hypertensive patients in primary care settings in Central Vietnam. It underscored the urgent need for tailored interventions to address this issue. For the sake of better medication adherence, healthcare providers were suggested to prioritize patient education, address patient beliefs and concerns about medication, and promote the practice of home blood pressure monitoring.

Cardiovascular disease (CVD) being the leading cause of the morbidity and mortality in Vietnam, the objective of this study was to estimate the total 10-year CVD risk among adults aged 40-69 years by utilizing World Health Organization/International Society of Hypertension (WHO/ISH) risk prediction charts in Central Vietnam. In this cross-sectional study, multi-staged sampling was used to select 938 participants from a general population aged from 40 to 69. The CVD risk factors were then collected throughout the interviews with a standardized questionnaire, anthropometric measurements and a blood test. The cardiovascular risk was calculated using the WHO/ISH risk prediction charts. According to the WHO/ISH charts, the proportion of moderate risk (10-20%) and high risk (>20%) among the surveyed participants were equal (5.1%). When \"blood pressure of more than 160/100 mmHg\" was applied, the proportion of moderate risk reduced to 2.3% while the high risk increased markedly to 12.8%. Those proportions were higher in men than in women (at 18.3% and 8.5% respectively, p-value <0.001, among the high-risk group), increasing with age. Male gender, smoking, ethnic minorities, hypertension and diabetes were associated with increased CVD risk. There was a high burden of CVD risk in Central Vietnam as assessed with the WHO/ISH risk prediction charts, especially in men and among the ethnic minorities. The use of WHO/ISH charts provided a feasible and affordable screening tool in estimating the cardiovascular risk in primary care settings.

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Introduction. The objective of this study is to describe the prevalence, awareness, treatment, and control of hypertension and its associated risk factors in (Central) Vietnam. Methods. In this cross-sectional study, a multistage sampling was used to select 969 participants from the general population aged from 40 to 69 years. The cardiovascular risk factors were collected throughout the interviews with a standardized questionnaire. Multivariate logistic regression analysis was conducted to test the relationship between the prevalence, awareness, treatment, and control of hypertension and the prevalence of risk factors. Results. The prevalence of hypertension was 44.8%. It was higher in men than in women (51.3% versus 39.7%, p < 0.001). In total 67.3% (74.5% in women, 60.1% in men; p = 0.001) of the participants were aware of their hypertension, 33.2% (37.5% in women, 28.9% in men; p = 0.01) of the participants were treated, and 12.2% (16.7% in women, 7.8% in men; p < 0.001) of the hypertensive participants’ hypertension was controlled. Age, gender, place of residence, body mass index, and diabetes were found to be independent risk factors for hypertension. Conclusion. The prevalence of hypertension in Vietnam is high, and the proportion of treated and controlled patients is rather low.

Introduction. The objective of this study is to describe the prevalence, awareness, treatment, and control of hypertension and its associated risk factors in (Central) Vietnam. Methods. In this cross-sectional study, a multistage sampling was used to select 969 participants from the general population aged from 40 to 69 years. The cardiovascular risk factors were collected throughout the interviews with a standardized questionnaire. Multivariate logistic regression analysis was conducted to test the relationship between the prevalence, awareness, treatment, and control of hypertension and the prevalence of risk factors. Results. The prevalence of hypertension was 44.8%. It was higher in men than in women (51.3% versus 39.7%, p < 0.001). In total 67.3% (74.5% in women, 60.1% in men; p = 0.001) of the participants were aware of their hypertension, 33.2% (37.5% in women, 28.9% in men; p = 0.01) of the participants were treated, and 12.2% (16.7% in women, 7.8% in men; p < 0.001) of the hypertensive participants' hypertension was controlled. Age, gender, place of residence, body mass index, and diabetes were found to be independent risk factors for hypertension. Conclusion. The prevalence of hypertension in Vietnam is high, and the proportion of treated and controlled patients is rather low.

Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and localization of chest abnormalities. In this work, we describe a dataset of more than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam. Out of this raw data, we release 18,000 images that were manually annotated by a total of 17 experienced radiologists with 22 local labels of rectangles surrounding abnormalities and 6 global labels of suspected diseases. The released dataset is divided into a training set of 15,000 and a test set of 3,000. Each scan in the training set was independently labeled by 3 radiologists, while each scan in the test set was labeled by the consensus of 5 radiologists. We designed and built a labeling platform for DICOM images to facilitate these annotation procedures. All images are made publicly available in DICOM format along with the labels of both the training set and the test set.Measurement(s)diseases and abnormal findings from chest X-ray scansTechnology Type(s)AI is used to detect diseases and abnormal findingsSample Characteristic - LocationVietnam

Since its official establishment in 2010, Google Earth Engine (GEE) has developed rapidly and has played a significant role in the global remote sensing community. A bibliometric analysis was conducted on 1995 peer-reviewed articles related to GEE, indexed in the Scopus database up to December 2022 to investigate its trends and main applications. Our main findings are as follows: (1) The number of GEE-related articles has increased rapidly, with nearly 85% of them published in the last three years; (2) The top three domains where GEE has been extensively applied are earth and planetary sciences, environmental science, and agricultural and biological sciences. The majority of GEE-related articles were authored by scholars from China and the US, accounting for 58% of the total, with US scholars having the largest impact on the community, contributing to over 50% of the total citations; (3) Remote Sensing published the highest number of articles (26.82%), whereas Remote Sensing of Environment received the highest number of citations (30.40%); (4) The applications of GEE covered a broad range of topics, with a focus on land applications, water resource applications, climate change, and crop mapping; (5) Landsat imagery were the most popular and widely used dataset; and (6) Random forest, decision trees, support vector machines were the most commonly used machine learning algorithms in GEE. Although having a few limitations, this type of analysis should be conducted regularly to observe the development of this field on a regular basis, as the number of publications related to GEE is expected to continue to increase strongly in the coming years.

Objective This cross-sectional study investigated the knowledge, attitudes, and practices (KAP) of Vietnamese university students regarding COVID-19. Methods A validated questionnaire (Cronbach's alpha = 0.71) was used to survey 1,025 students. A convenience sampling method was used for recruiting students from April to May 2022. The Wilcoxon rank-sum test and the Kruskal–Wallis rank-sum test/Dunn test for multiple comparisons were employed to compare students' KAP scores between two groups and among three groups or more, respectively. Factors associated with students' COVID-19 KAP scores were determined via univariate and multivariate linear regression models. Variables in the multivariate linear regression models were chosen using the Bayesian Model Averaging method in R software version 4.2.0. Results A majority of students had good knowledge (75.61%), positive attitudes (98.24%), and good practices toward COVID-19 (94.93%). Regarding the COVID-19 knowledge, the proportions of students who knew that mosquito bites and exposure to/eating wild animals would not lead to COVID-19 infection were not high (47.22 and 34.34%, respectively). More importantly, 70.34% of students thought that vitamins and minerals could help prevent or cure COVID-19. Antibiotics were the first choice for COVID-19 treatment of 438 students (42.73%). Nearly half of students (48.0%) bought antibiotics to keep at home in case of COVID-19 infection. The average KAP scores of medical students (19.97 ± 3.99, 45.10 ± 3.94, 9.72 ± 1.78) and females (18.67 ± 4.44, 44.79 ± 3.79, 9.36 ± 1.84) were significantly higher than those of non-medical students (16.48 ± 4.37, 43.33 ± 4.03, 8.68 ± 1.87) and males (17.01 ± 4.55, 42.79 ± 4.39, 8.77 ± 1.97), respectively ( p  < 0.001). Older students were more likely to have good knowledge and practices than the younger ones ( p  < 0.001). In addition, students using websites of the World Health Organization/the Ministry of Health and scientific articles to seek COVID-19 information were significantly associated with higher KAP scores when compared with those not using these sources ( p  < 0.001, p  < 0.001, and p  = 0.00139, respectively). Conclusion Students' KAP scores significantly varied by age, sex, major, and sources of COVID-19 information. Although many students had sufficient knowledge, positive attitudes, and good preventive practices toward COVID-19, additional education and training strategies are paramount, especially for non-medical students and males.

Nurses play a pivotal role in pain management. Knowing more about nurses' knowledge and attitudes regarding pain is important as we develop multidisciplinary pain services. Therefore, this study aimed to assess knowledge and attitudes regarding pain management among nurses in a geriatric hospital and its associated factors. A survey was conducted of nurses worked at the National Geriatric Hospital over a 3-month period. The Knowledge and Attitudes Survey Regarding Pain (KASRP) was utilized to assess nurses' knowledge and attitudes toward pain management. Four domains were defined based on KASRP, included cancer-related pain, pain assessment, pharmacology and substance abuse and physical dependence. Knowledge and attitudes regarding pain were classified as poor, fair, or good (≤50%, 50% - 75%, or ≥75% of the KASRP score). Multivariate Tobit regression models were applied to identify factors associated with the knowledge and attitudes regarding pain management. Of 154 participants completed the survey, 72.2% (111 participants) had poor knowledge and attitudes regarding pain management. The participants had a correct mean score of 45.2% (SD = 2.2). Nurses' knowledge of pain assessment was poor, with the proportion of correct answers to nine questions ranging from 2.6% to 50%. 44.8% of nurses reported never or rarely using pain assessment tools. Nurses who had previous training regarding pain at medical universities had significantly higher scores of knowledge and attitudes compared to those without training. Nurses who often use pain assessment tools had a significantly higher level of knowledge and attitudes than those who never or rarely use them. This study highlights significant deficits of knowledge and negative attitudes regarding pain management among nurses. The subject of pain management should be applied and enhanced in the nursing undergraduate curriculum. Nurses' active participation in pain management should be encouraged by healthcare providers for older patients.

Silver nanoparticles have attracted great interests widely in medicine due to its great characteristics of antibacterial activity. In this research, the antibacterial activity and biocompatibility of a topical gel synthesized from polyvinyl alcohol, chitosan, and silver nanoparticles were studied. Hydrogels with different concentrations of silver nanoparticles (15 ppm, 30 ppm, and 60 ppm) were evaluated to compare their antibacterial activity, nanoparticles’ sizes, and in vivo behaviors. The resulted silver nanoparticles in the hydrogel were characterized by TEM showing the nanoparticles’ sizes less than 22 nm. The in vitro results prove that the antibacterial effects of all of the samples are satisfied. However, the in vivo results demonstrate the significant difference among different hydrogels in wound healing, where hydrogel with 30 ppm shows the best healing rate.