WHO Surgical Safety Checklist compliance rate at a large tertiary hospital in Vietnam.

The WHO Surgical Safety Checklist has been instrumental in reducing surgical deaths by 47% globally since its inception in 2009. A study was conducted to assess the compliance of hospital staff with the Surgical Safety Checklist and identify potential barriers to its implementation at a large tertiary public hospital in Vietnam. The study analysed 135 surgical cases between February and September 2021 using the Pareto principle with eight error categories, including (1) patient identification, (2) equipment, (3) risk management, (4) blood loss, (5) allergy, (6) items left inside the patient, (7) surgical specimens and (8) patient safety and recovery management.

Gene function characterization in Aspergillus niger using a dual resistance marker transformation system mediated by Agrobacterium tumefaciens.

Aspergillus niger is a well-known workhorse for the industrial production of enzymes and organic acids. This fungus can also cause postharvest diseases in fruits. Although Agrobacterium tumefaciens-mediated transformation (ATMT) based on antibiotic resistance markers has been effectively exploited for inspecting functions of target genes in wild-type fungi, it still needs to be further improved in A.

Job satisfaction of health workers at a Vietnamese University Hospital and its predicted factors: A cross-sectional study.

Background And Aims: Job satisfaction of healthcare workers from conventional and university hospitals (or teaching hospitals) might be different due to several factors, for example medical staff required to carry out multiple clinical and teaching tasks simultaneously. Our study aimed to determine how the job satisfaction among healthcare workers in university hospitals is different from those in conventional hospitals.

Methods: A cross-sectional study was conducted by using the validated and contextualized job satisfaction tool for the Vietnamese context to survey 216 healthcare workers at a university hospital in Vietnam from January to March 2020 with online Google forms.

Telemedicine in home-based care for COVID-19 patients.

Background: The COVID-19 pandemic has made devastating impacts on public health and global economy. While most people experience mild symptoms, it is highly transmissible and deadly in at-risk populations. Telemedicine has the potential to prevent hospitalization and provide remote care.

Health staff's job motivation post COVID-19 pandemic: A case study in Vietnam.

Objectives: Vietnam has witnessed a severe shortage of qualified staff in the public health sector after the COVID-19 pandemic. Our cross-sectional study aimed to identify job motivation and associated factors among experienced frontline health staff working in public health in order to have preventive measures in the event of future pandemics.

Methods: A cross-sectional study, from March 2022 to November 2022 at a Vietnamese public hospital, on the job motivation and the predicted factors of 381 healthcare workers who participated in the frontlines of the COVID-19 pandemic from 2020 to 2021.

Investigation of ortho-positronium annihilation for porous materials with different geometries and topologies.

In this work, we present the results of the ortho-positronium (o-Ps) annihilation lifetimes and nitrogen adsorption measurements for different porous materials and an approach for describing the annihilation of o-Ps in a pore, which results in a surface-volume formula (SVF) for calculating the pore-related o-Ps lifetime. This proposed formula gives the relationship between the o-Ps annihilation rate and the effective pore radius, bulk composition, and pore structure, including pore geometry and topology. The pore-related o-Ps lifetimes of different materials calculated by the SVF are consistent with experimental results for both micro- and mesopores (and macropores) with different geometries and topologies.

Risk Factors of Preterm Delivery in the Lao PDR: Hospital-Based Matched Case-Control Study.

Objective: To describe the risk factors among mothers in four central hospitals and two provincial hospitals in the Lao PDR, a lower-middle-income country in Southeast Asia.

Method: The study used a hospital-based matched case-control design study. Purposive sampling was used to select 320 mothers (80 cases and 240 controls) from the six hospitals.

Effects of Heatwaves on Hospital Admissions for Cardiovascular and Respiratory Diseases, in Southern Vietnam, 2010-2018: Time Series Analysis.

This study investigated the associations between heatwaves and daily hospital admissions for cardiovascular and respiratory diseases in two provinces in Viet Nam known to be vulnerable to droughts during 2010-2018. This study applied a time series analysis with data extracted from the electronic database of provincial hospitals and meteorological stations from the corresponding province. To eliminate over-dispersion, this time series analysis used Quasi-Poisson regression.

Review of antibiotic prescriptions as part of antimicrobial stewardship programmes: results from a pilot implementation at two provincial-level hospitals in Viet Nam.

Objectives: To investigate the feasibility of retrospective prescription-based review and to describe the antibiotic prescribing patterns to provide information for an antimicrobial stewardship programme in Viet Nam.

Methods: This study was conducted in two provincial-level hospitals between February and April 2020. Reviews were done by a clinical team consisting of leaders/senior doctors of each ward to assess the optimal level (optimal/adequate/suboptimal/inadequate/not assessable) of antibiotic prescriptions.

Cross-Cultural Adaption and Validation of SERVPERF Tool for Measuring Healthcare Quality in an Oncology Public Hospital, Vietnam.

SERVPERF (Service Performance) tool needs to be adapted to the context and the usage purpose. Our study aimed to validate the context adapted SERVPERF tool in an Oncology public hospital in Vietnam. A study was conducted in 2020 with 227 in-patients as respondents the modified SERVPERF tool.

Patient Satisfaction With Healthcare Service Quality and Its Associated Factors at One Polyclinic in Hanoi, Vietnam.

: Patient satisfaction is one of the most important components of measuring healthcare quality. : The study aimed to evaluate the validity and reliability of the patient satisfaction scale with the quality of health services and its associated factors. A cross-sectional study was conducted to collect data on patient satisfaction with 301 outpatients at one polyclinic in Hanoi, Vietnam.

Ambient intelligence-based monitoring of staff and patient activity in the intensive care unit.

Background: Caregiver workload in the ICU setting is difficult to numerically quantify. Ambient Intelligence utilises computer vision-guided neural networks to continuously monitor multiple datapoints in video feeds, has become increasingly efficient at automatically tracking various aspects of human movement.

Objectives: To assess the feasibility of using Ambient Intelligence to track and quantify allpatient and caregiver activity within a bedspace over the course of an ICU admission and also to establish patient specific factors, and environmental factors such as time ofday, that might contribute to an increased workload in ICU workers.

Reproductive development of female wallago catfish (Wallago attu) in captivity.

The wallago catfish (Wallago attu) is a new potential fish for aquaculture in Vietnam. Data related to the reproductive cycle of W. attu in captivity are, however, not available.

Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence.

Origin of the COVID-19 virus (SARS-CoV-2) has been intensely debated in the scientific community since the first infected cases were detected in December 2019. The disease has caused a global pandemic, leading to deaths of thousands of people across the world and thus finding origin of this novel coronavirus is important in responding and controlling the pandemic. Recent research results suggest that bats or pangolins might be the hosts for SARS-CoV-2 based on comparative studies using its genomic sequences.

Seroprevalence of SARS-CoV-2 among high-density communities and hyper-endemicity of COVID-19 in Vietnam.

Objective: To assess the magnitude of active and recovering COVID-19 patients among at-risk communities and to identify the factors associated with positive serology.

Methods: Four hundred and eighty-three close contacts of COVID-19 patients residing in Ho Chi Minh City, Vietnam, during the fourth wave of the COVID-19 epidemic (September and October 2021) were included. Five weeks after exposure to a COVID-19 patient, they underwent a serology test using the BIOSYNEX COVID-19 BSS kit.

Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions.

The wide adoption of Electronic Health Records (EHR) has resulted in large amounts of clinical data becoming available, which promises to support service delivery and advance clinical and informatics research. Deep learning techniques have demonstrated performance in predictive analytic tasks using EHRs yet they typically lack model result transparency or explainability functionalities and require cumbersome pre-processing tasks. Moreover, EHRs contain heterogeneous and multi-modal data points such as text, numbers and time series which further hinder visualisation and interpretability.

Impact of Public Health Insurance on Out-of-Pocket Health Expenditures of the Near-Poor in Vietnam.

Out-of-pocket payment is one of the indicators measuring the achievement of Universal Health Coverage. According to the World Health Organization, for countries from the Asia Pacific Region, out-of-pocket payments should not exceed 30%-40% of total health expenditure. This study aimed to identify factors influencing out-of-pocket payment for the near-poor for outpatient healthcare services as well as across health facilities at different levels.

A graph-based approach for population health analysis using Geo-tagged tweets.

We propose in this work a graph-based approach for automatic public health analysis using social media. In our approach, graphs are created to model the interactions between features and between tweets in social media. We investigated different graph properties and methods in constructing graph-based representations for population health analysis.

Overweight and obesity among Vietnamese school-aged children: National prevalence estimates based on the World Health Organization and International Obesity Task Force definition.

Background: Overweight and obesity is a severe global health issue in both developed and developing nations. This study aims to estimate the national prevalence of overweight and obesity among school-aged children in Vietnam.

Method: We conducted a national cross-sectional study on 2788 children aged from 11-14 years old from September to November 2018.

Self-reported non-communicable diseases and associated socio-demographic status among ethnic minority populations in Vietnam, 2019.

The aim of this study was to report the prevalence of self-reported non-communicable diseases among ethnic minority populations in Vietnam and related factors. A total of 5033 individuals aged 15 years and older who belonged to ethnic minority populations from 12 provinces in Vietnam completed a household survey. The overall prevalence of self-reported non-communicable diseases was 12.

An empirical study on prediction of population health through social media.

Public health measurement is important for government administration as it provides indicators and implications to public healthcare strategies. The measurement of health status has been traditionally conducted via surveys in the forms of pre-designed questionnaires to collect responses from targeted participants. Apart from benefits, traditional approach is costly, time-consuming, and not scalable.

Out-of-Pocket Health Expenditures Among Insured and Uninsured Patients in Vietnam.

Out-of-pocket expenditure/payment (OOP) is one of the indicators measuring the achievement of Universal Health Coverage. This article aimed to compare OOP among the insured and uninsured for their outpatient and inpatient health care services. The data of 6710 individuals using outpatient care and 924 individuals using inpatient care at 78 district hospitals and 246 commune health centers in 6 provinces from the World Bank survey, "The 2015 Vietnam District and Commune Health Facility," were used for analysis.

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection.

In this paper, we propose a novel image reconstruction algorithm using multi-scale 3D convolutional sparse coding and a spectral decomposition technique for highly undersampled dynamic Magnetic Resonance Imaging (MRI) data. The proposed method recovers high-frequency information using a shared 3D convolution-based dictionary built progressively during the reconstruction process in an unsupervised manner, while low-frequency information is recovered using a total variation-based energy minimization method that leverages temporal coherence in dynamic MRI. Additionally, the proposed 3D dictionary is built across three different scales to more efficiently adapt to various feature sizes, and elastic net regularization is employed to promote a better approximation to the sparse input data.