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.

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.

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.

Unmet needs for informal care among people with type 2 diabetes in rural communities in Vietnam.

Objectives: The objective of this study was to identify determinants associated with unmet needs for informal support among people with type-2 diabetes in rural communities of Vietnam in order to inform development of effective interventions aimed at bridging the gap between community members and resource constrained health systems.

Study Design: A cross-sectional survey was conducted from December 2018 to February 2019 in a rural area of northern Vietnam.

Methods: From 2 districts in northern Vietnam, 806 people with type-2 diabetes participated in a survey to assess who were their most important informal caregivers (ICGs) and to measure the association between demographic and socio-economic predictors and unmet needs of informal support of relevance for diabetes self-care using bivariate and multivariate analyses.

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.

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.

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.

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.

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.

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss.

Compressed sensing magnetic resonance imaging (CS-MRI) has provided theoretical foundations upon which the time-consuming MRI acquisition process can be accelerated. However, it primarily relies on iterative numerical solvers, which still hinders their adaptation in time-critical applications. In addition, recent advances in deep neural networks have shown their potential in computer vision and image processing, but their adaptation to MRI reconstruction is still in an early stage.

Validation of a Brief CES-D Scale for Measuring Depression and Its Associated Predictors among Adolescents in Chi Linh, Hai Duong, Vietnam.

Objectives: The aims of this paper were to confirm the validity and reliability of a brief CES-D measure for depression and identify the associated factors with the depression among adolescents and youth in Chi Linh, Hai Duong province, Vietnam.

Methods: We used data from a prospective-longitudinal study of adolescents and youth (aged 13-17 at baseline) and their parent (N = 1402 mother/father-child dyads). Adolescents' depression was assessed in 2009 and 2013.

Evaluation of a gamma technique for the assay of radioactive waste drums using two measurements from opposing directions.

A technique using two measurements from opposing directions for the assay of the activity of radioactive waste drums, mainly consisting of organic materials, has been studied. A model for the calculation of systematic errors is given by simulating the measurement system. The calculated values are in good agreement with the experimental values.