Client and clinician perspectives about a virtual education and exercise chronic disease management programme for people with hip and knee osteoarthritis.

INTRODUCTION: Osteoarthritis (OA) is one of the most prevalent chronic conditions in Canada. Despite the established benefits of non-pharmacological management (education, exercise) for people with OA, many do not receive treatment, resulting in pain, decreased physical function, and poorer quality of life. Virtual programme options grew significantly during the recent pandemic and may provide longer-term opportunities for increased uptake by reaching individuals otherwise unable to participate. This study explored the experiences and perspectives of clients participating in and clinicians providing the Good Life with osteoArthritis: Denmark (GLA:DTM) Canada remote programme. METHODS: This qualitative descriptive study recruited 10 clients with hip and/or knee OA and 11 clinicians across Canada using purposive sampling. An online pre-interview survey was completed, and individual interviews were conducted, audio-recorded, transcribed verbatim and analysed independently by two researchers using inductive thematic analysis. Coding and analyses were initially conducted separately by group and then compared and combined. RESULTS: Four overarching themes (and 11 subthemes) were identified: (1) Expected and unexpected benefits of virtual programs; (2) Drawbacks to virtual programs; (3) Programme delivery in a virtual world; (4) Shifting and non-shifting perspectives. Although initially sceptical, after completion of the programme, clients were in favour of virtual delivery with many benefits described. Clinicians' perspectives varied about feedback aimed to correct client movement patterns. CONCLUSIONS: Clients and clinicians identified important experiential and procedural elements for virtual chronic disease management programs that include education and exercise. Additional work is needed to understand if the GLA:DTM remote outcomes are equivalent to the in-person programme.

Understanding the psychosocial determinants of effective disease management in rheumatoid arthritis to prevent persistently active disease: a qualitative study.

BACKGROUND: According to epidemiological studies, psychosocial factors are known to be associated with disease activity, physical activity, pain, functioning, treatment help-seeking, treatment waiting times and mortality in people with rheumatoid arthritis (RA). Limited qualitative inquiry into the psychosocial factors that add to RA disease burden and potential synergistic interactions with biological parameters makes it difficult to understand patients' perspectives from the existing literature. AIM: This study aimed to gather in-depth patient perspectives on psychosocial determinants that drive persistently active disease in RA, to help guide optimal patient care. METHODS: Patient research partners collaborated on the research design and materials. Semistructured interviews and focus groups were conducted online (in 2021) with patients purposively sampled from diverse ethnicities, primary languages, employment status and occupations. Data were analysed using inductive thematic analysis. RESULTS: 45 patients participated across 28 semistructured interviews and three focus groups. Six main themes on psychosocial determinants that may impact RA management were identified: (1) healthcare systems experiences, (2) patient education and health literacy, (3) employment and working conditions, (4) social and familial support, (5) socioeconomic (dis)advantages, and (6) life experiences and well-being practices. CONCLUSION: This study emphasises the importance of clinicians working closely with patients and taking a holistic approach to care that incorporates psychosocial factors into assessments, treatment plans and resources. There is an unmet need to understand the relationships between interconnected biopsychosocial factors, and how these may impact on RA management.

Acute care utilization among individuals with sickle cell disease and related cardiopulmonary and renal complications.

Cardiopulmonary and renal end organ (CPR) complications are associated with early mortality among individuals with sickle cell disease (SCD). However, there is limited knowledge regarding acute care utilization for individuals with SCD and CPR complications. Our objective was to determine the prevalence of CPR complications in a state specific SCD population and compare acute care utilization among individuals with and without CPR complications. We leveraged 2017-2020 data for individuals with SCD identified by the Sickle Cell Data Collection program in Wisconsin. The prevalence of CPR complications is determined for distinct age groups. Generalized linear models adjusted for age compared the rate of acute care visits/person/year among individuals who had cardiopulmonary only, renal only, both cardiopulmonary and renal, or no CPR complications. There were 1378 individuals with SCD, 52% females, mean (SD) age 28.3 (18.5) years; 48% had at least one CPR complication during the study period. The prevalence of CPR complications was higher in adults (69%) compared to pediatric (15%) and transition (51%) groups. Individuals with SCD and cardiopulmonary complications had higher acute visit rates than those without CPR complications (5.4 (IQR 5.0-5.8) vs 2.4 (IQR 2.1-2.5), p <0.001)). Acute care visit rates were similar between individuals with SCD who had renal only complications and no CPR complications (2.7 (IQR 2.5-3.0) vs 2.4 (2.1-2.5), p = 0.24). The high acute care visit rates, especially for those with cardiopulmonary complications, warrant further investigation to understand risk factors for CPR complications, the underlying reasons and identify effective disease management strategies.

Recent advances in the biosensors application for reviving infectious disease management in silkworm model: a new way to combat microbial pathogens.

Silkworms are an essential economic insect but are susceptible to diseases during rearing, leading to yearly losses in cocoon production. While chemical control is currently the primary method to reduce disease incidences, its frequent use can result in loss of susceptibility to pathogens and, ultimately, antibiotic resistance. To effectively prevent or control disease, growers must accurately, sensitively, and quickly detect causal pathogens to determine the best management strategies. Accurate recognition of diseased silkworms can prevent pathogen transmission and reduce cocoon loss. Different pathogen detection methods have been developed to achieve this objective, but they need more precision, specificity, consistency, and promptness and are generally unsuitable for in-situ analysis. Therefore, detecting silkworm diseases under rearing conditions is still an unsolved problem. As a consequence of this, there is an enormous interest in the development of biosensing systems for the early and precise identification of pathogens. There is also significant room for improvement in translating novel biosensor techniques to identify silkworm pathogens. This study explores the types of silkworm diseases, their symptoms, and their causal microorganisms. Moreover, we compare the traditional approaches used in silkworm disease diagnostics along with the latest sensing technologies, with a precise emphasis on lateral flow assay-based biosensors that can detect and manage silkworm pathogens.

Platelet index ratios in HIV: Emerging biomarkers for immune health and disease management.

Human Immunodeficiency Virus (HIV) infection is a global health challenge that requires continuous advancements in diagnostic and prognostic tools. Traditional markers, such as CD4 cell counts and viral load, have played a crucial role in monitoring disease progression and guiding therapeutic interventions. However, emerging research suggests that platelet index ratios may serve as valuable biomarkers in assessing immune health and managing HIV-associated complications. This paper explores the significance of platelet index ratios, including platelet-to-lymphocyte ratio and mean platelet volume-to-lymphocyte ratio, as potential indicators of immune system status in individuals living with HIV. The interplay between platelets, lymphocytes, and their ratios reflects the dynamic nature of the immune response and inflammatory processes during HIV infection. Understanding the role of platelet index ratios in HIV could lead to the development of accessible and cost-effective biomarkers for monitoring immune health. Implementation of these ratios in routine clinical practice may enhance the precision of disease prognosis and guide personalized treatment strategies. Additionally, the exploration of platelet index ratios may pave the way for innovative therapeutic interventions aimed at modulating immune responses in HIV-infected individuals. In conclusion, platelet index ratios represent promising emerging biomarkers for evaluating immune health and managing HIV-related complications. Further research and clinical validation are warranted to establish the utility of these ratios in routine HIV care, potentially revolutionizing the approach to monitoring and improving the health outcomes of individuals living with HIV.

Cybersecurity on a budget: Evaluating security and performance of open-source SIEM solutions for SMEs.

The proliferation of cyber threats necessitates robust security measures to safeguard critical assets and data in today's evolving digital landscape. Small and Medium Enterprises (SMEs), which are the backbone of the global economy are particularly vulnerable to these threats due to inadequate protection for critical and sensitive information, budgetary constraints, and lack of cybersecurity expertise and personnel. Security Information and Event Management (SIEM) systems have emerged as pivotal tools for monitoring, detecting, and responding to security incidents. While proprietary SIEM solutions have historically dominated the market, open-source SIEM systems have gained prominence for their accessibility and cost-effectiveness for SMEs. This article presents a comprehensive study focusing on the evaluation of open-source SIEM systems. The research investigates the capabilities of these open-source solutions in addressing modern security challenges and compliance with regulatory requirements. Performance aspects are explored through empirical testing in simulated enterprise-grade SME network environments to assess resource utilization, and real-time data processing capabilities. By providing a rigorous assessment of the security and performance features of open-source SIEM systems, this research offers valuable insights to cybersecurity practitioners, organizations seeking cost-effective security solutions, and the broader academic community. The findings shed light on the strengths and limitations of these systems, aiding decision-makers in selecting the most suitable SIEM solution for their specific requirements while enhancing the cybersecurity posture of SMEs.

The knowns and unknowns of long COVID-19: from mechanisms to therapeutical approaches.

The coronavirus disease 2019 (COVID-19) pandemic caused by SARS-CoV-2 has been defined as the greatest global health and socioeconomic crisis of modern times. While most people recover after being infected with the virus, a significant proportion of them continue to experience health issues weeks, months and even years after acute infection with SARS-CoV-2. This persistence of clinical symptoms in infected individuals for at least three months after the onset of the disease or the emergence of new symptoms lasting more than two months, without any other explanation and alternative diagnosis have been named long COVID, long-haul COVID, post-COVID-19 conditions, chronic COVID, or post-acute sequelae of SARS-CoV-2 (PASC). Long COVID has been characterized as a constellation of symptoms and disorders that vary widely in their manifestations. Further, the mechanisms underlying long COVID are not fully understood, which hamper efficient treatment options. This review describes predictors and the most common symptoms related to long COVID's effects on the central and peripheral nervous system and other organs and tissues. Furthermore, the transcriptional markers, molecular signaling pathways and risk factors for long COVID, such as sex, age, pre-existing condition, hospitalization during acute phase of COVID-19, vaccination, and lifestyle are presented. Finally, recommendations for patient rehabilitation and disease management, as well as alternative therapeutical approaches to long COVID sequelae are discussed. Understanding the complexity of this disease, its symptoms across multiple organ systems and overlapping pathologies and its possible mechanisms are paramount in developing diagnostic tools and treatments.

MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction.

Accurate cancer subtype prediction is crucial for personalized medicine. Integrating multi-omics data represents a viable approach to comprehending the intricate pathophysiology of complex diseases like cancer. Conventional machine learning techniques are not ideal for analyzing the complex interrelationships among different categories of omics data. Numerous models have been suggested using graph-based learning to uncover veiled representations and network formations unique to distinct types of omics data to heighten predictions regarding cancers and characterize patients' profiles, amongst other applications aimed at improving disease management in medical research. The existing graph-based state-of-the-art multi-omics integration approaches for cancer subtype prediction, MOGONET, and SUPREME, use a graph convolutional network (GCN), which fails to consider the level of importance of neighboring nodes on a particular node. To address this gap, we hypothesize that paying attention to each neighbor or providing appropriate weights to neighbors based on their importance might improve the cancer subtype prediction. The natural choice to determine the importance of each neighbor of a node in a graph is to explore the graph attention network (GAT). Here, we propose MOGAT, a novel multi-omics integration approach, leveraging GAT models that incorporate graph-based learning with an attention mechanism. MOGAT utilizes a multi-head attention mechanism to extract appropriate information for a specific sample by assigning unique attention coefficients to neighboring samples. Based on our knowledge, our group is the first to explore GAT in multi-omics integration for cancer subtype prediction. To evaluate the performance of MOGAT in predicting cancer subtypes, we explored two sets of breast cancer data from TCGA and METABRIC. Our proposed approach, MOGAT, outperforms MOGONET by 32% to 46% and SUPREME by 2% to 16% in cancer subtype prediction in different scenarios, supporting our hypothesis. Our results also showed that GAT embeddings provide a better prognosis in differentiating the high-risk group from the low-risk group than raw features.

Curcumin in Cancer and Inflammation: An In-Depth Exploration of Molecular Interactions, Therapeutic Potentials, and the Role in Disease Management.

This paper delves into the diverse and significant roles of curcumin, a polyphenolic compound from the Curcuma longa plant, in the context of cancer and inflammatory diseases. Distinguished by its unique molecular structure, curcumin exhibits potent biological activities including anti-inflammatory, antioxidant, and potential anticancer effects. The research comprehensively investigates curcumin's molecular interactions with key proteins involved in cancer progression and the inflammatory response, primarily through molecular docking studies. In cancer, curcumin's effectiveness is determined by examining its interaction with pivotal proteins like CDK2, CK2α, GSK3ß, DYRK2, and EGFR, among others. These interactions suggest curcumin's potential role in impeding cancer cell proliferation and survival. Additionally, the paper highlights curcumin's impact on inflammation by examining its influence on proteins such as COX-2, CRP, PDE4, and MD-2, which are central to the inflammatory pathway. In vitro and clinical studies are extensively reviewed, shedding light on curcumin's binding mechanisms, pharmacological impacts, and therapeutic application in various cancers and inflammatory conditions. These studies are pivotal in understanding curcumin's functionality and its potential as a therapeutic agent. Conclusively, this review emphasizes the therapeutic promise of curcumin in treating a wide range of health issues, attributed to its complex chemistry and broad pharmacological properties. The research points towards curcumin's growing importance as a multi-faceted natural compound in the medical and scientific community.

Gap analysis of diabetes-related foot disease management systems in Pacific Islands Countries and Territories.

BACKGROUND: Pacific Island Countries and Territories (PICTs) are known to have high prevalence of Diabetes Mellitus and high incidence of diabetes-related foot disease. Diabetes-related foot disease can lead to lower limb amputation and is associated with poor outcomes, with increased morbidity and mortality. The purpose of this study was to gain a better understanding of diabetes-related foot disease management in selected countries in PICTs and to identify potential barriers in management of diabetes-related foot disease management in the region. METHODS: A cross-sectional survey was sent to eleven hospitals across six selected PICTs. The survey instrument was designed to provide an overview of diabetes-related foot disease (number of admissions, and number of lower limb amputations over 12 months) and to identify clinical services available within each institution. Two open-ended questions (free text responses) were included in the instrument to explore initiatives that have helped to improve management and treatment of diabetes-related foot diseases, as well as obstacles that clinicians have encountered in management of diabetes-related foot disease. The survey was conducted over 6 weeks. RESULTS: Seven hospitals across four countries provided responses. Number of admissions and amputations related to diabetes-related foot disease were only reported as an estimate by clinicians. Diabetes-related foot disease was managed primarily by general medicine physician, general surgeon and/or orthopaedic surgeon in the hospitals surveyed, as there were no subspecialty services in the region. Only one hospital had access to outpatient podiatry. Common themes identified around barriers faced in management of diabetes-related foot disease by clinicians were broadly centred around resource availability, awareness and education, and professional development. CONCLUSION: Despite the high prevalence of diabetes-related foot disease within PICTs, there appears to be a lack of functional multi-disciplinary foot services (MDFs). To improve the outcomes for diabetes-related foot disease patients in the region, there is a need to establish functional MDFs and engage international stakeholders to provide ongoing supports in the form of education, mentoring, as well as physical resources.

Offloading and adherence through technological advancements: Modern approaches for better foot care in diabetes.

OBJECTIVE: This manuscript aims to provide a review and synthesis of contemporary advancements in footwear, sensor technology for remote monitoring, and digital health, with a focus on improving offloading and measuring and enhancing adherence to offloading in diabetic foot care. METHODS: A narrative literature review was conducted by sourcing peer-reviewed articles, clinical studies, and technological innovations. This paper includes a review of various strategies, from specifically designed footwear, smart insoles and boots to using digital health interventions, which aim to offload plantar pressure and help prevent and manage wounds more effectively by improving the adherence to such offloading. RESULTS: In-house specially made footwear, sensor technologies remotely measuring pressure and weight-bearing activity, exemplified for example, through applications like smart insoles and SmartBoot, and other digital health technologies, show promise in improving offloading and changing patient behaviour towards improving adherence to offloading and facilitating personalised care. This paper introduces the concept of gamification and emotive visual indicators as novel methods to enhance patient engagement. It further discusses the transformative role of digital health technologies in the modern era. CONCLUSIONS: The integration of technology with footwear and offloading devices offers unparallelled opportunities for improving diabetic foot disease management not only through better offloading but also through improved adherence to offloading. These advancements allow healthcare providers to personalise treatment plans more effectively, thereby promising a major improvement in patient outcomes in diabetic foot ulcer healing and prevention.

Decentralising chronic disease management in sub-Saharan Africa: a protocol for the qualitative process evaluation of community-based integrated management of HIV, diabetes and hypertension in Tanzania and Uganda.

INTRODUCTION: Sub-Saharan Africa continues to experience a syndemic of HIV and non-communicable diseases (NCDs). Vertical (stand-alone) HIV programming has provided high-quality care in the region, with almost 80% of people living with HIV in regular care and 90% virally suppressed. While integrated health education and concurrent management of HIV, hypertension and diabetes are being scaled up in clinics, innovative, more efficient and cost-effective interventions that include decentralisation into the community are required to respond to the increased burden of comorbid HIV/NCD disease. METHODS AND ANALYSIS: This protocol describes procedures for a process evaluation running concurrently with a pragmatic cluster-randomised trial (INTE-COMM) in Tanzania and Uganda that will compare community-based integrated care (HIV, diabetes and hypertension) with standard facility-based integrated care. The INTE-COMM intervention will manage multiple conditions (HIV, hypertension and diabetes) in the community via health monitoring and adherence/lifestyle advice (medicine, diet and exercise) provided by community nurses and trained lay workers, as well as the devolvement of NCD drug dispensing to the community level. Based on Bronfenbrenner's ecological systems theory, the process evaluation will use qualitative methods to investigate sociostructural factors shaping care delivery and outcomes in up to 10 standard care facilities and/or intervention community sites with linked healthcare facilities. Multistakeholder interviews (patients, community health workers and volunteers, healthcare providers, policymakers, clinical researchers and international and non-governmental organisations), focus group discussions (community leaders and members) and non-participant observations (community meetings and drug dispensing) will explore implementation from diverse perspectives at three timepoints in the trial implementation. Iterative sampling and analysis, moving between data collection points and data analysis to test emerging theories, will continue until saturation is reached. This process of analytic reflexivity and triangulation across methods and sources will provide findings to explain the main trial findings and offer clear directions for future efforts to sustain and scale up community-integrated care for HIV, diabetes and hypertension. ETHICS AND DISSEMINATION: The protocol has been approved by the University College of London (UK), the London School of Hygiene and Tropical Medicine Ethics Committee (UK), the Uganda National Council for Science and Technology and the Uganda Virus Research Institute Research and Ethics Committee (Uganda) and the Medical Research Coordinating Committee of the National Institute for Medical Research (Tanzania). The University College of London is the trial sponsor. Dissemination of findings will be done through journal publications and stakeholder meetings (with study participants, healthcare providers, policymakers and other stakeholders), local and international conferences, policy briefs, peer-reviewed journal articles and publications. TRIAL REGISTRATION NUMBER: ISRCTN15319595.

Angiotensin-converting enzyme inhibitors, statins and the polypill in cardiovascular diseases prevention: ignorance is bliss or not?

The polypill strategy, which combines several medicines that simultaneously control different risk factors/diseases in a single pill, is one of the approaches used in cardiovascular therapy. In different guidelines, this one-pill combination therapy is suggested as first-line step in disease management. Because the cardiovascular diseases (CVD) pandemia, prevention is essential. The approaches that could improve adherence are of great importance to achieve health, social and economical benefits. However, direct or indirect experience of adverse drug reaction is often the reason for discontinuation, with serious fatal and non-fatal consequences especially for a polypill. Angiotensin-converting enzyme inhibitors (ACEi) and statins are the most prescribed medications in CVD prevention. It is well known that both drugs may have adverse effects that induce discontinuation. Often, the personal awareness of these effects is a reason for self-discontinuation. In this study an analysis of the ACEi/statin awareness is reported. Is it potentially harmful for polypill?

The effectiveness of chronic disease management planning on self-management among patients with diabetes at general practice settings in Australia: a scoping review.

BACKGROUND: Medicare provides significant funding to improve, encourage and coordinate better practices in primary care. Medicare-rebated Chronic Disease Management (CDM) plans are a structured approach to managing chronic diseases in Australia. These chronic disease care plans are intended to be a vehicle to deliver guideline-based / evidence-based care.. However, recommended care is not always provided, and health outcomes are often not achieved. This scoping review aimed to identify the specific components of CDM plans that are most effective in promoting self-management, as well as the factors that may hinder or facilitate the implementation of these plans in general practice settings in Australia. METHOD: A comprehensive search was conducted using multiple electronic databases, considering inclusion and exclusion criteria. Two reviewers independently screened the titles and abstracts of the identified studies via Covidence, and the full texts of eligible studies were reviewed for inclusion. A data extraction template was developed based on the Cochrane Effective Practice and Organization of Care Group (EPOC) to classify the intervention methods and study outcomes. A narrative synthesis approach was used to summarize the findings of the included studies. The quality of the included studies was assessed using the JBI Critical Appraisal Checklist. RESULTS: Seventeen articles were included in the review for analysis and highlighted the effectiveness of CDM plans on improving patient self-management. The findings demonstrated that the implementation of CDM plans can have a positive impact on patient self-management. However, the current approach is geared towards providing care to patients, but there are limited opportunities for patients to engage in their care actively. Furthermore, the focus is often on achieving the outcomes outlined in the CDM plans, which may not necessarily align with the patient's needs and preferences. The findings highlighted the significance of mutual obligations and responsibilities of team care for patients and healthcare professionals, interprofessional collaborative practice in primary care settings, and regular CDM plan reviews. CONCLUSION: Self-management support remains more aligned with a patient-centred collaboration approach and shared decision-making and is yet to be common practice. Identifying influential factors at different levels of patients, healthcare professionals, and services affecting patients' self-management via CDM plans can be crucial to developing the plans.

Methods, rationale, and design for a remote pharmacist and navigator-driven disease management program to improve guideline-directed medical therapy in patients with type 2 diabetes at elevated cardiovascular and/or kidney risk.

AIM: Describe the rationale for and design of Diabetes Remote Intervention to improVe use of Evidence-based medications (DRIVE), a remote medication management program designed to initiate and titrate guideline-directed medical therapy (GDMT) in patients with type 2 diabetes (T2D) at elevated cardiovascular (CV) and/or kidney risk by leveraging non-physician providers. METHODS: An electronic health record based algorithm is used to identify patients with T2D and either established atherosclerotic CV disease (ASCVD), high risk for ASCVD, chronic kidney disease, and/or heart failure within our health system. Patients are invited to participate and randomly assigned to either simultaneous education and medication management, or a period of education prior to medication management. Patient navigators (trained, non-licensed staff) are the primary points of contact while a pharmacist or nurse practitioner reviews and authorizes each medication initiation and titration under an institution-approved collaborative drug therapy management protocol with supervision from a cardiologist and/or endocrinologist. Patient engagement is managed through software to support communication, automation, workflow, and standardization. CONCLUSION: We are testing a remote, navigator-driven, pharmacist-led, and physician-overseen management strategy to optimize GDMT for T2D as a population-level strategy to close the gap between guidelines and clinical practice for patients with T2D at elevated CV and/or kidney risk.

Biosecurity, health and disease management practices among the dairy farms in five districts of Bangladesh.

Herd health management is a planned program to optimize health, welfare, and production of dairy cows. A cross-sectional study focused on herd health management of dairy farms, was carried out to assess the biosecurity, health, and disease management practices with associated socio-demographic factors. A structured questionnaire with closed- and open-ended questions was employed for farmers' interviews to acquire information on dairy farms. Data were collected from randomly selected 205 dairy farms in five districts (Dhaka-Savar, Mymensingh, Gazipur, Rangpur, and Sirajganj) of Bangladesh. Overall, 1.5% farms had "good", 17% had "moderate" and 81.5% had "poor" levels of biosecurity, health and disease management practices (BHDMP). Analysis of variance revealed that mean BHDMP scores were significantly (p < 0.05) higher in farms of Rangpur (27.6 ± 0.8) and Gazipur (26.7 ± 0.6) than those of the other three districts. Educational status had a significant effect on BHDMP scores. The farms owned by graduated farmers had the highest mean BHDMP score (30.4 ± 1.1) while the farms operated by illiterate farmers had the lowest BHDMP score (20.4 ± 0.4). Multiple linear regression analysis also revealed that educational status (secondary to post-graduation), training experience, area of study (Rangpur district), and herd size were significantly associated with BHDMP score of the farms. The findings lay a basis for improving dairy farms' biosecurity, health and disease management practices, which further envisage the adoption and implementation of herd health management programs.