Lessons for Vietnam on the Use of Digital Technologies to Support Patient-Centered Care in Low- and Middle-Income Countries in the Asia-Pacific Region: Scoping Review.

BACKGROUND: A rapidly aging population, a shifting disease burden and the ongoing threat of infectious disease outbreaks pose major concerns for Vietnam's health care system. Health disparities are evident in many parts of the country, especially in rural areas, and the population faces inequitable access to patient-centered health care. Vietnam must therefore explore and implement advanced solutions to the provision of patient-centered care, with a view to reducing pressures on the health care system simultaneously. The use of digital health technologies (DHTs) may be one of these solutions. OBJECTIVE: This study aimed to identify the application of DHTs to support the provision of patient-centered care in low- and middle-income countries in the Asia-Pacific region (APR) and to draw lessons for Vietnam. METHODS: A scoping review was undertaken. Systematic searches of 7 databases were conducted in January 2022 to identify publications on DHTs and patient-centered care in the APR. Thematic analysis was conducted, and DHTs were classified using the National Institute for Health and Care Excellence evidence standards framework for DHTs (tiers A, B, and C). Reporting was in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. RESULTS: Of the 264 publications identified, 45 (17%) met the inclusion criteria. The majority of the DHTs were classified as tier C (15/33, 45%), followed by tier B (14/33, 42%) and tier A (4/33, 12%). At an individual level, DHTs increased accessibility of health care and health-related information, supported individuals in self-management, and led to improvements in clinical and quality-of-life outcomes. At a systems level, DHTs supported patient-centered outcomes by increasing efficiency, reducing strain on health care resources, and supporting patient-centered clinical practice. The most frequently reported enablers for the use of DHTs for patient-centered care included alignment of DHTs with users' individual needs, ease of use, availability of direct support from health care professionals, provision of technical support as well as user education and training, appropriate governance of privacy and security, and cross-sectorial collaboration. Common barriers included low user literacy and digital literacy, limited user access to DHT infrastructure, and a lack of policies and protocols to guide the implementation and use of DHTs. CONCLUSIONS: The use of DHTs is a viable option to increase equitable access to quality, patient-centered care across Vietnam and simultaneously reduce pressures on the health care system. Vietnam can take advantage of the lessons learned by other low- and middle-income countries in the APR when developing a national road map to digital health transformation. Recommendations that Vietnamese policy makers may consider include emphasizing stakeholder engagement, strengthening digital literacy, supporting the improvement of DHT infrastructure, increasing cross-sectorial collaboration, strengthening governance of cybersecurity, and leading the way in DHT uptake.

Developing a model for rehabilitation in the home as hospital substitution for patients requiring reconditioning: a Delphi survey in Australia.

BACKGROUND: Reconditioning for patients who have experienced functional decline following medical illness, surgery or treatment for cancer accounts for approximately 26% of all reported inpatient rehabilitation episodes in Australia. Rehabilitation in the home (RITH) has the potential to offer a cost-effective, high-quality alternative for appropriate patients, helping to reduce pressure on the acute care sector. This study sought to gain consensus on a model for RITH as hospital substitution for patients requiring reconditioning. METHODS: A multidisciplinary group of health professionals working in the rehabilitation field was identified from across Australia and invited to participate in a three-round online Delphi survey. Survey items followed the patient journey, and also included items on practitioner roles, clinical governance, and budgetary considerations. Survey items mostly comprised statements seeking agreement on 5-point Likert scales (strongly agree to strongly disagree). Free text boxes allowed participants to qualify item answers or make comments. Analysis of quantitative data used descriptive statistics; qualitative data informed question content in subsequent survey rounds or were used in understanding item responses. RESULTS: One-hundred and ninety-eight health professionals received an invitation to participate. Of these, 131/198 (66%) completed round 1, 101/131 (77%) completed round 2, and 78/101 (77%) completed round 3. Consensus (defined as ≥ 70% agreement or disagreement) was achieved on over 130 statements. These related to the RITH patient journey (including patient assessment and development of the care plan, case management and program provision, and patient and program outcomes); clinical governance and budgetary considerations; and included items for initial patient screening, patient eligibility and case manager roles. A consensus-based model for RITH was developed, comprising five key steps and the actions within each. CONCLUSIONS: Strong support amongst survey participants was found for RITH as hospital substitution to be widely available for appropriate patients needing reconditioning. Supportive legislative and payment systems, mechanisms that allow for the integration of primary care, and appropriate clinical governance frameworks for RITH are required, if broad implementation is to be achieved. Studies comparing clinical outcomes and cost-benefit of RITH to inpatient rehabilitation for patients requiring reconditioning are also needed.

Guillain-Barré Syndrome due to COVID-19 Vero Cell Vaccination Associated with Concomitant COVID-19 Infection-induced ARDS and Treated Successfully by Therapeutic Plasma Exchange: A First Case Report from Vietnam.

Post-vaccination adverse reactions have been reported with varying symptoms and severity owing to research and production time pressures during the coronavirus disease 2019 (COVID-19) pandemic. In this article, we report a rare case of Guillain-Barré syndrome (GBS) in a patient with COVID-19 with acute respiratory distress syndrome (ARDS) after receiving Sinopharm's Vero Cell vaccine (China). The patient who was initially negative for COVID-19 was diagnosed with GBS based on paralysis that developed from the lower extremities to the upper extremities, as confirmed by cytoalbuminologic dissociation in the cerebrospinal fluid. The patient's condition worsened with ARDS caused by COVID-19 infection during the hospital stay, and SpO2 decreased to 83% while receiving oxygen through a non-rebreather mask (15 l/min) on day 6. The patient was treated with standard therapy for severe COVID-19, invasive mechanical ventilation, and five cycles of therapeutic plasma exchange (TPE) with 5% albumin replacement on day 11 due to severe progression. The patient was weaned off the ventilator on day 28, discharged on day 42, and was completely healthy after 6 months without any neurological sequelae until now. Our report showed the potential of TPE for GBS treatment in critically ill patients with COVID-19 after COVID-19 vaccination.

Model-Driven Impact Quantification of Energy Resource Redundancy and Server Rejuvenation on the Dependability of Medical Sensor Networks in Smart Hospitals.

The spread of the Coronavirus (COVID-19) pandemic across countries all over the world urges governments to revolutionize the traditional medical hospitals/centers to provide sustainable and trustworthy medical services to patients under the pressure of the huge overload on the computing systems of wireless sensor networks (WSNs) for medical monitoring as well as treatment services of medical professionals. Uncertain malfunctions in any part of the medical computing infrastructure, from its power system in a remote area to the local computing systems at a smart hospital, can cause critical failures in medical monitoring services, which could lead to a fatal loss of human life in the worst case. Therefore, early design in the medical computing infrastructure's power and computing systems needs to carefully consider the dependability characteristics, including the reliability and availability of the WSNs in smart hospitals under an uncertain outage of any part of the energy resources or failures of computing servers, especially due to software aging. In that regard, we propose reliability and availability models adopting stochastic Petri net (SPN) to quantify the impact of energy resources and server rejuvenation on the dependability of medical sensor networks. Three different availability models (A, B, and C) are developed in accordance with various operational configurations of a smart hospital's computing infrastructure to assimilate the impact of energy resource redundancy and server rejuvenation techniques for high availability. Moreover, a comprehensive sensitivity analysis is performed to investigate the components that impose the greatest impact on the system availability. The analysis results indicate different impacts of the considered configurations on the WSN's operational availability in smart hospitals, particularly 99.40%, 99.53%, and 99.64% for the configurations A, B, and C, respectively. This result highlights the difference of 21 h of downtime per year when comparing the worst with the best case. This study can help leverage the early design of smart hospitals considering its wireless medical sensor networks' dependability in quality of service to cope with overloading medical services in world-wide virus pandemics.

Survival Radiology: How a popular in-person interactive medical student radiology workshop pivoted online during the COVID-19 pandemic

Background Survival Radiology (SR) is a flagship annual full-day in-person radiology workshop targeted at final year medical students in Singapore to prepare them for internship. Previous in-person editions have consistently received positive reviews from 2014 to 2019. However, the COVID-19 pandemic necessitated a rapid online pivot for its sixth edition in 2020. Objectives This study aims to (a) identify key success factors of a traditional in-person medical student radiology workshop, (b) describe the rapid online pivot in 2020 and (c) to identify key success factors for online educational initiatives. Methods Post-workshop survey responses of SR from 2014 to 2020 were evaluated. Likert-scale data were quantitatively analysed, while free-text responses were qualitatively analysed. Results A total of 1248 post-workshop surveys (2014–2020 workshops) and 266 free-text responses (2020 workshop) were received from 2640 participants over the years. Progressive changes that sustained or improved participant feedback for in-person SR workshops included adoption of a case-based approach, utility of ‘live’ audience response systems and incorporation of quizzes with a favourable overall feedback rating of 4.42–4.89 from 2014 to 2019. The webinar version of SR in 2020 became the best-rated edition since inception with a rating of 4.9. Qualitative analysis of feedback from SR 2020 showed that the participants preferred the webinar model, online modes of engagement and interactivity. Conclusion Our experience shows that it is not only possible to successfully pivot online for such workshops, but that blended educational formats utilising online engagements supplemented by in-person activities will be well-received by ‘Generation Z’ learners even after the COVID-19 pandemic.

Graphene-based field effect transistor (GFET) as nanobiosensors

This chapter focuses on the nanoscale and integrated graphene-based FET (GFET) biosensors. In this ever-changing world the new kind of coronavirus has undoubtedly become a serious issue due to its rapid transmission from one human to another in a matter of minutes. COVID-19 has faster transfer capability compared to the other coronaviruses like SARS and MERS. The name corona is derived from the Latin word meaning crown due to its similarity in shape under the electron microscope. For this purpose, some of the recent works are inspected and reviewed to highlight this roadmap.