Single Nucleotide Variants (SNVs) of Angiotensin-Converting Enzymes (ACE1 and ACE2): A Plausible Explanation for the Global Variation in COVID-19 Prevalence.

Background: Although it is common knowledge that the coronavirus disease of 2019 (COVID-19) and other viral infections have an uneven impact globally, the reasons for this are still indistinct. The absence of equivalent capacities worldwide in screening, testing, and reporting of cases is one of the ideas put forward to explain this discrepancy. The molecular developments are noteworthy, particularly the role played by single nucleotide polymorphisms (SNPs) in ACEs (ACE1 and ACE2). The virus can enter the host cell thanks to the transmembrane protein ACE2, which is a homolog of ACE1. Objectives: With a focus on the I/D genotype of ACE1 and the rs2285666 SNV of ACE2, we elucidated the prevalence of SNPs in ACE1 and ACE2 in various geographic locations. We examined the relationship between these SNPs and the global patterns of COVID-19 prevalence. Methods: 66 of the 127 articles obtained using PubMed, Google Scholar, and Google directly conformed to the search terms; geographical distribution of viral infections, the prevalence of COVID-19, ACE1, ACE2, SNPs, and prevalence of the DD genotype, and rs2285666. Results: The DD genotype of ACE1 and the rs2285666 SNV of ACE2 are vital in their gene expression and contribute greatly to viral disease susceptibility, development, and severity. There was generally a high prevalence of the DD genotype in Europe and America, where COVID-19 had a more devastating effect than in Asia and Africa. The prevalence of the SNV rs2285666 varied in the following order: East Asia> South Asia >America>Europe >Africa. However, there were conflicting agreements in the association of rs2285666 with COVID-19 susceptibility and prevalence. Conclusion: The ACE1 DD genotype and COVID-19 prevalence have been positively linked in a number of studies. The ACE2 rs2285666 SNV, however, has yielded no definitive results. To determine the relationship between these SNVs and COVID-19 incidence, more research is required.

Technology-supported models of nutrition care: Perspectives of health service providers.

Objective: To determine the perspectives to the adoption, scale-up, sustainability, and spread of technology-supported models of nutrition care, in hospital and ambulatory care settings. Methods: Thirty-one health service providers participated in individual semi-structured interviews from a tertiary health service in Queensland, Australia. The Non-adoption, Abandonment, and challenges to the Scale up, Spread and Sustainability (NASSS) framework, designed to evaluate technology-supported models' success, informed the qualitative design. Results: Key findings were that technology-supported models of care could benefit many chronic condition patient groups; dietitians are well suited to adopting this technology: and the value proposition in creating efficiency gains in the health service. However, challenges of transitioning and sustainability were identified. Perceived enablers for technology supported models of care included: previous intentions for technology supported models of care prior to the 2019 novel coronavirus pandemic; opportunity for clinicians to complete higher valued tasks; and integration of technology systems and assisted staff roles. Perceived barriers included: suitability for patients is dependent on experience and ability to use technology, varied confidence by clinicians when conducting clinical assessments; high investment required for set up and ongoing maintenance; and patients desire for adopting face-to-face care over technology. Health service providers perceived that embedding and adapting such models requires maintenance of high-quality service and continued research. Conclusions: Health service providers recognize adopting, scaling, and sustaining technology-supported models of nutrition care benefits patients, clinicians, and health services in general. Robust clinical trials and health service evaluations of technology-supported models of care, across practice settings are now needed.

High fidelity dialectical behaviour therapy online: Learning from experienced practitioners.

Dialectical behaviour therapy (DBT) is an effective treatment for borderline personality disorder and other problems underpinned by difficulties with emotional regulation. The main components of DBT are skills training groups and individual therapy. The COVID-19 outbreak forced a rapid adaptation to online delivery, which largely mirrored face-to-face programmes using videoconferencing technology. This study aimed to elicit and describe the experiences and learning of therapists involved in providing high-fidelity DBT programmes via the Australian DBT Institute, which established an online delivery platform called DBT Assist™ prior to the COVID-19 pandemic. The report conforms with the consolidated criteria for reporting qualitative research (COREQ). Seven therapists were interviewed. Data were transcribed and analysed thematically. Delivering skills training online, either exclusively or in hybrid form (with face-to-face individual therapy), was acceptable and even preferable to therapists and clients. It was considered safe, the programme was associated with few non-completers, and it improved the accessibility of DBT to those who might otherwise not be able to engage in a face-to-face programme. Skills training utilized a 'flipped-learning' approach which improved the efficiency of online delivery. Other unique and helpful features of the online programme were described. The best outcomes associated with online DBT are likely to be achieved through careful adaptation to the online environment in accord with the principles of DBT rather than mirroring face-to-face processes. Further research is required to determine the efficacy of online therapy relative to face-to-face, and who might be best suited to different modes of delivery.

Towards online delivery of Dialectical Behaviour Therapy: A scoping review.

Dialectical Behaviour Therapy (DBT) programmes are often the only available treatment for people diagnosed with borderline personality disorder and were rapidly converted to online delivery during the COVID-19 pandemic. Limited research exists surrounding how the major elements of DBT are delivered in an online environment. This scoping review considered the operationalization of online delivery of DBT and its effectiveness. EBSCO host databases were searched using free text. Of 127 papers, 11 studies from 2010 to 2021 investigating online DBT for any clinical population were included in the review. A narrative synthesis of papers selected was undertaken. Seven articles reported results from five clinical trials (n = 437). Most adaptations mirrored face-to-face programmes although there was considerable variation in how therapy was facilitated. Attendance was reported to be greater online with comparable clinical improvements to face-to-face for those who remained in therapy. Additional challenges included managing risk, therapist preparedness and technology difficulties. Online delivery of DBT programmes is feasible and may be more accessible, acceptable and as safe and effective as face-to-face delivery. However, mirroring face to face delivery in an online environment may not be the most effective and efficient way to adapt DBT to online provision. Research is needed to identify areas which require further adaptation.

Implementation of a virtual ward as a response to the COVID-19 pandemic.

Objective The aim of this study was to describe and evaluate the implementation of a virtual ward as a COVID-19 hospital avoidance response strategy and identify opportunities for improvement and future applicability. Methods A mixed-method observational study was conducted of a centralised virtual ward, which operated in a large metropolitan Australian health service from 23 March to 1 June 2020. Results In total, 238 unique patients were admitted to the virtual ward, accounting for 264 individual admission episodes and 2451 virtual bed days. Twenty (7.6%) episodes resulted in transfer to hospital and 136 patients provided responses to feedback surveys and reported their experience as very good (61.7%, n=87) or good (34.8%, n=49). Implementation success was high, with the model widely accepted and adopted across the health service. The service delivery model was considered to be low-cost in comparison to inpatient hospital-based care. Conclusions Overall, as a rapidly developed and implemented low-tech model of care, the virtual ward was found to provide an effective, accessible and low-cost solution to managing low-acuity COVID-19-positive patients in the community. This model should be considered in future pandemics as a hospital-avoidance response, with the ability to minimise patient-to-healthcare worker transmission, reduce personal protective equipment use and enhance patient adherence with isolation requirements. Targeted remote telemonitoring should be considered as a future modification to improve patient care. What is known about this topic? Virtual wards aim to reduce hospital demand by providing hospital-level care in community settings such as the patients' home. The COVID-19 pandemic has seen a rapid increase in the utilisation of virtual wards as an acute healthcare response that facilitates contactless care of infectious patients. Despite this rapid adoption, there is limited literature on the effectiveness of virtual ward models of care in a pandemic context. What does this paper add? This study provides a detailed description of the implementation of a virtual ward in a large metropolitan health service. It evaluates the effectiveness of the virtual ward as a COVID-19 response strategy and identifies opportunities for improvement and future applicability. This study contributes to the growing body of literature on the COVID-19 healthcare response and virtual wards. What are the implications for practitioners? This study details the implementation of a virtual ward and highlights potential facilitators and barriers to successful implementation and sustained applicability. Findings provide a comparative benchmark for other health services implementing virtual wards as a pandemic response strategy.

The Internet of Things: Impact and Implications for Health Care Delivery.

The Internet of Things (IoT) is a system of wireless, interrelated, and connected digital devices that can collect, send, and store data over a network without requiring human-to-human or human-to-computer interaction. The IoT promises many benefits to streamlining and enhancing health care delivery to proactively predict health issues and diagnose, treat, and monitor patients both in and out of the hospital. Worldwide, government leaders and decision makers are implementing policies to deliver health care services using technology and more so in response to the novel COVID-19 pandemic. It is now becoming increasingly important to understand how established and emerging IoT technologies can support health systems to deliver safe and effective care. The aim of this viewpoint paper is to provide an overview of the current IoT technology in health care, outline how IoT devices are improving health service delivery, and outline how IoT technology can affect and disrupt global health care in the next decade. The potential of IoT-based health care is expanded upon to theorize how IoT can improve the accessibility of preventative public health services and transition our current secondary and tertiary health care to be a more proactive, continuous, and coordinated system. Finally, this paper will deal with the potential issues that IoT-based health care generates, barriers to market adoption from health care professionals and patients alike, confidence and acceptability, privacy and security, interoperability, standardization and remuneration, data storage, and control and ownership. Corresponding enablers of IoT in current health care will rely on policy support, cybersecurity-focused guidelines, careful strategic planning, and transparent policies within health care organizations. IoT-based health care has great potential to improve the efficiency of the health system and improve population health.