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BACKGROUND: With the global spread of the coronavirus disease pandemic, governments have become more interested in applying telehealth technology in 2020. OBJECTIVE: This study integrates the technology acceptance model and information system success model to explore the influence of satisfaction, attitudes, and continued use of telehealth systems among middle-aged and older people in remote areas. METHODS: The study participants were patients over 40 years (inclusive) who lived in remote townships in eastern Taiwan, were diagnosed with diabetes or hypertension, and used the telehealth care system. In total, 545 questionnaires were returned, resulting in a recovery rate of 99%. RESULTS: Accepting the hypothesized structural equation model, this study found that information, system, and service quality were influenced by the mediating effect of perceived ease of use and the perceived usefulness of the technology acceptance model. The use of telehealth care systems among chronic patients increased significantly.
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Telemedicine , Middle Aged , Humans , Aged , Chronic Disease , Technology , Pandemics , Disease ManagementABSTRACT
COVID-19 has brought renewed attention to the physical and mental health needs of underserved populations and the settings that assist them in receiving services. This introduction presents six articles of a special section on disease management approaches used within criminal justice settings to address such needs. Articles span a range of settings, including prisons, jails, mental health courts, forensic settings, and crisis units. Collectively, the articles in this special section discuss medical conditions, substance use, and mental health. They provide information on the diverse approaches taken across various settings in managing the physical and mental health challenges of those involved in the criminal justice system. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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COVID-19 , Mental Disorders , Substance-Related Disorders , Humans , Criminal Law , Public Health , Mental Disorders/therapy , Substance-Related Disorders/therapy , Disease ManagementSubject(s)
COVID-19 , Multiple Myeloma , COVID-19/epidemiology , Disease Management , Humans , Multiple Myeloma/therapy , Pandemics , SARS-CoV-2ABSTRACT
Patients with systemic lupus erythematosus (SLE) form a vulnerable group in terms of the impact of the COVID-19 pandemic on disease management. We conducted this overview by searches through Medline/PubMed, Scopus, and the Directory of Open Access Journals (DOAJ). The prevalence and severity of COVID-19, efficacy of COVID-19 vaccination, impact on the management of SLE, and the attitudes of SLE patients to COVID-19 and vaccination were explored. After screening and due exclusions, 198 studies were included for the final review. Patients with SLE have a greater risk of acquiring COVID-19 (0.6-22%) and related hospitalization (30%), severe disease (13.5%), and death (6.5%) than the general population. Older age, male gender, comorbidities, moderate or high disease activity, and glucocorticoid, rituximab, and cyclophosphamide use are associated with unfavorable outcomes, whereas methotrexate and belimumab use showed no association with outcomes. COVID-19 vaccines are safe in SLE with minimal risk of severe flares (< 2%). Vaccine efficacy is negatively associated with glucocorticoids. The overall attitude of patients towards vaccination is positive (54-90%). The pandemic has negatively affected access to medical care, hospitalizations, procurement of drugs, employment, and the mental health of patients which need to be addressed as part of holistic care in SLE. Key Points ⢠Lupus patients are at a greater risk of acquiring COVID-19, related hospitalization, severe disease, and death than the general population. ⢠COVID-19 vaccines are relatively safe for lupus patients with minimal risk of severe flares. ⢠Lupus patients' attitude towards COVID-19 vaccination is predominantly positive.
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COVID-19 Vaccines , COVID-19 , Lupus Erythematosus, Systemic , COVID-19/prevention & control , COVID-19 Vaccines/adverse effects , Disease Management , Glucocorticoids/therapeutic use , Humans , Immunosuppressive Agents/therapeutic use , Lupus Erythematosus, Systemic/complications , Male , Pandemics/prevention & control , Vaccination/adverse effectsABSTRACT
INTRODUCTION: Limited treatment options exist for COVID-19 infections; thus, attempts from complementary and alternative systems (CAM) of medicine are being explored as possible therapeutic options. Ayurcov is a formulation made of ingredients mentioned in Ayurveda. These constituents have proven antiviral, detoxifying, immune-modulating, and bio-enhancing properties. The present study was carried out to evaluate the therapeutic effect and safety of Ayurcov in patients with various severity states of COVID-19 infections. METHODS: A randomized, single blinded, controlled trial was carried out in adults diagnosed with mild-to-moderate, and severe COVID-19 infections confirmed by real time reverse transcriptase polymerase chain reaction (rRTPCR) test. The interventional group received three doses of 'Ayurcov'. It is constituted of Haridra Churna (Curcuma longa), Go ark (Bos Indicus Distilled Urine), Sphatika (Alum), Sita (Rock Candy), Godugdham (Bos Indicus Milk) milk, Goghritam (Bos Indicus ghee) on Day 1, as an adjuvant to the standard of care, and the control group received only the standard of care. Key outcomes included: proportion of patients and time taken for symptom resolution, reduction in the rRT-PCR Ct values, safety, and functional status until 42 days after discharge. RESULTS: Ninety patients with mild-to-moderate and 30 patients with severe COVID-19 disease were recruited. It was observed that significantly more proportions of patients receiving Ayurcov had symptom relief much earlier than control group. Additionally, the interventional group showed significantly lower rRT-PCR Ct values. However, a shorter time of resolution of symptoms was observed with the interventional group in the mild to moderate category but not with those having severe symptoms. Similarly, a significantly better functional status was observed with interventional group on days 7 and 28 after discharge. Ayurcov was not observed with higher risks of any adverse/serious adverse events. CONCLUSIONS: Ayurcov as adjuvant with standard of care was associated with significantly earlier resolution of COVID-19 related symptoms than standard of care alone.
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COVID-19 Drug Treatment , Adult , Antiviral Agents , Disease Management , Hospitals , Humans , SARS-CoV-2 , Treatment OutcomeSubject(s)
Blood Platelets/immunology , Blood Platelets/metabolism , Immunoglobulins, Intravenous , Thrombocytopenia/etiology , Thrombocytopenia/therapy , Vaccines/adverse effects , Biomarkers , COVID-19 Vaccines/adverse effects , Disease Management , Disease Susceptibility , Female , Humans , Immunoglobulins, Intravenous/therapeutic use , Immunophenotyping , Middle Aged , Platelet Count , Thrombocytopenia/blood , Thrombocytopenia/diagnosis , Treatment OutcomeABSTRACT
Transient receptor potential vanilloid 4 (TRPV4) is a non-selective mechanosensitive ion channel expressed by various macrophage populations. Recent reports have characterized the role of TRPV4 in shaping the activity and phenotype of macrophages to influence the innate immune response to pathogen exposure and inflammation. TRPV4 has been studied extensively in the context of inflammation and inflammatory pain. Although TRPV4 activity has been generally described as pro-inflammatory, emerging evidence suggests a more complex role where this channel may also contribute to anti-inflammatory activities. However, detailed understanding of how TRPV4 may influence the initiation, maintenance, and resolution of inflammatory disease remains limited. This review highlights recent insights into the cellular processes through which TRPV4 contributes to pathological conditions and immune processes, with a focus on macrophage biology. The potential use of high-throughput and omics methods as an unbiased approach for studying the functional outcomes of TRPV4 activation is also discussed.
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Gene Expression Regulation , Macrophages/immunology , Macrophages/metabolism , Signal Transduction , TRPV Cation Channels/genetics , TRPV Cation Channels/metabolism , Animals , Carrier Proteins , Disease Management , Disease Susceptibility , Energy Metabolism , Humans , Ligands , Macrophage Activation/genetics , Macrophage Activation/immunology , Mechanotransduction, Cellular , Molecular Targeted Therapy , Protein BindingABSTRACT
COVID-19 is highly transmissible; however, its severity varies from one individual to another. Variability among different isolates of the virus and among its receptor (ACE2) may contribute to this severity, but comorbidity plays a major role on disease prognosis. Many comorbidities have been reported to be associated with severe COVID-19 patients. We have collected data from retrospective studies which include clinical and epidemiological features of patients and categorize them into severe/mild, ICU/non-ICU and survivors/dead patients. In this review, we give an update about SARS-CoV-2 structure with emphasis on the possible reasons for the severity of the virus in patients. We also collected information and patients' data to highlight the relation between COVID-19 patients and comorbidities.
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COVID-19/virology , Disease Susceptibility , SARS-CoV-2/physiology , Biomarkers , COVID-19/diagnosis , COVID-19/immunology , COVID-19/metabolism , Comorbidity , Cytokines/metabolism , Disease Management , Disease Outbreaks , Genome, Viral , Genomics/methods , Host-Pathogen Interactions/immunology , Humans , Inflammation Mediators/metabolism , Prognosis , Risk Factors , Severity of Illness IndexSubject(s)
Coronavirus Infections , Disease Management , Mental Health Services , Pandemics , Pneumonia, Viral , Psychomotor Agitation/therapy , COVID-19 , Coercion , Coronavirus Infections/complications , Humans , Pneumonia, Viral/complications , Practice Guidelines as Topic , Psychomotor Agitation/etiology , Restraint, PhysicalABSTRACT
BACKGROUND: Clinical data on patients admitted to hospital with coronavirus disease 2019 (COVID-19) provide clinicians and public health officials with information to guide practice and policy. The aims of this study were to describe patients with COVID-19 admitted to hospital and intensive care, and to investigate predictors of outcome to characterize severe acute respiratory infection. METHODS: This observational cohort study used Canadian data from 32 selected hospitals included in a global multisite cohort between Jan. 24 and July 7, 2020. Adult and pediatric patients with a confirmed diagnosis of COVID-19 who received care in an intensive care unit (ICU) and a sampling of up to the first 60 patients receiving care on hospital wards were included. We performed descriptive analyses of characteristics, interventions and outcomes. The primary analyses examined in-hospital mortality, with secondary analyses of the length of hospital and ICU stay. RESULTS: Between January and July 2020, among 811 patients admitted to hospital with a diagnosis of COVID-19, the median age was 64 (interquartile range [IQR] 53-75) years, 495 (61.0%) were men, 46 (5.7%) were health care workers, 9 (1.1%) were pregnant, 26 (3.2%) were younger than 18 years and 9 (1.1%) were younger than 5 years. The median time from symptom onset to hospital admission was 7 (IQR 3-10) days. The most common symptoms on admission were fever, shortness of breath, cough and malaise. Diabetes, hypertension and cardiac, kidney and respiratory disease were the most common comorbidities. Among all patients, 328 received care in an ICU, admitted a median of 0 (IQR 0-1) days after hospital admission. Critically ill patients received treatment with invasive mechanical ventilation (88.8%), renal replacement therapy (14.9%) and extracorporeal membrane oxygenation (4.0%); 26.2% died. Among those receiving mechanical ventilation, 31.2% died. Age was an influential predictor of mortality (odds ratio per additional year of life 1.06, 95% confidence interval 1.03-1.09). INTERPRETATION: Patients admitted to hospital with COVID-19 commonly had fever, respiratory symptoms and comorbid conditions. Increasing age was associated with the development of critical illness and death; however, most critically ill patients in Canada, including those requiring mechanical ventilation, survived and were discharged from hospital.
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COVID-19/epidemiology , COVID-19/virology , Critical Care , Hospitalization , SARS-CoV-2 , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/therapy , Canada/epidemiology , Comorbidity , Critical Illness , Disease Management , Disease Progression , Female , Humans , Incidence , Intensive Care Units , Male , Middle Aged , Mortality , Pandemics , Pregnancy , Public Health Surveillance , Severity of Illness Index , Young AdultSubject(s)
COVID-19/therapy , Convalescence , Delivery of Health Care , Hospital Units , Hospitalization/statistics & numerical data , Ill-Housed Persons , Patient Isolation , Boston , COVID-19/complications , Disease Management , Female , Humans , Interrupted Time Series Analysis , Male , Quarantine , SARS-CoV-2 , Substance-Related Disorders/complications , Substance-Related Disorders/therapyABSTRACT
BACKGROUND: The SARS-COV-2 pandemic rapidly shifted dynamics around hospitalization for many communities. This study aimed to evaluate how the pandemic altered the experience of healthcare, acute illness, and care transitions among hospitalized patients with substance use disorder (SUD). METHODS: We performed a qualitative study at an academic medical center in Portland, Oregon, in Spring 2020. We conducted semi-structured interviews, and conducted a thematic analysis, using an inductive approach, at a semantic level. RESULTS: We enrolled 27 participants, and identified four main themes: 1) shuttered community resources threatened patients' basic survival adaptations; 2) changes in outpatient care increased reliance on hospitals as safety nets; 3) hospital policy changes made staying in the hospital harder than usual; and, 4) care transitions out of the hospital were highly uncertain. DISCUSSION: Hospitalized adults with SUD were further marginalized during the SARS-COV-2 pandemic. Systems must address the needs of marginalized patients in future disruptive events.
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COVID-19 , Hospitalization , Substance-Related Disorders/therapy , Adult , Ambulatory Care/legislation & jurisprudence , COVID-19/epidemiology , Disease Management , Female , Hospitalization/legislation & jurisprudence , Humans , Length of Stay/legislation & jurisprudence , Male , Middle Aged , Qualitative Research , SARS-CoV-2/isolation & purification , Substance-Related Disorders/epidemiologyABSTRACT
Introduction: Coronavirus disease 2019 (COVID-19), a respiratory illness caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), had its first detection in December 2019 in Wuhan (China) and spread across the world. In March 2020, the World Health Organization (WHO) declared COVID-19 a pandemic disease. The utilization of prompt and accurate molecular diagnosis of SARS-CoV-2 virus, isolating the infected patients, and treating them are the keys to managing this unprecedented pandemic. International travel acted as a catalyst for the widespread transmission of the virus.Areas covered: This review discusses phenotype, structural, and molecular evolution of recognition elements and primers, its detection in the laboratory, and at point of care. Further, market analysis of commercial products and their performance are also evaluated, providing new ways to confront the ongoing global public health emergency.Expert commentary: The outbreak for COVID-19 created mammoth chaos in the healthcare sector, and still, day by day, new epicenters for the outbreak are being reported. Emphasis should be placed on developing more effective, rapid, and early diagnostic devices. The testing laboratories should invest more in clinically relevant multiplexed and scalable detection tools to fight against a pandemic like this where massive demand for testing exists.
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COVID-19/diagnosis , COVID-19/virology , SARS-CoV-2/physiology , Biomarkers , COVID-19/epidemiology , COVID-19/transmission , Disease Management , Evolution, Molecular , Humans , Molecular Diagnostic Techniques/methods , Molecular Diagnostic Techniques/standards , Nucleic Acid Amplification Techniques , Pandemics , Point-of-Care Testing , RNA, ViralABSTRACT
BACKGROUND: In December 2019, a novel pneumonia related to the 2019 coronavirus unexpectedly developed in Wuhan, China. We aimed to review data of the novel Coronavirus (2019-nCoV) by analyzing all the published retrospective studies on the clinical, epidemiological, laboratory, and radiological characteristics of patients with 2019-nCoV. METHODS: We searched in four bibliographic databases PubMed, Scopus, Embase, and Web of Science) for studies March 10, 2020 focused on the clinical, epidemiological, laboratory, and radiological characteristics of patients with 2019-nCoV for meta-analysis. The Newcastle-Ottawa Scale was used to quality assessment, and publication bias was analyzed by Egger's test. In the meta-analysis, a random-effects model with Stata/SE software, v.14.1 (StataCorp, College Station, TX) was used to obtain a pooled incidence rate. RESULTS: Fifty studies were included in this systematic review and meta-analysis with 8815 patients and the mean age was 46 years and 4647 (52.7%) were male. The pooled incidences rate of clinical symptoms were: fever (83%, 95% CI: 0.77, 0.89), cough (59%, 95% CI: 0.48, 0.69), myalgia or fatigue (31%, 95% CI: 0.23, 0.39), sputum production (29%, 95% CI: 0.21, 0.39), and dyspnea (19%, 95% CI: 0.12, 0.26). The pooled incidence rate of acute respiratory distress syndrome (ARDS) was (22%, 95% CI: 0.00, 0.60). CONCLUSION: The results of this systemic review and meta-analysis present a quantitative pooled incidence rate of different characters of 2019-nCoV and has great potential to develop diagnosis and patient's stratification in 2019-nCoV. However, this conclusions of this study still requisite to be warranted by more careful design, larger sample size multivariate studies to corroborate the results of this meta-analysis.
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COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/virology , SARS-CoV-2 , Adult , Aged , Disease Management , Female , Global Health , Humans , Male , Middle Aged , Public Health Surveillance , Publication Bias , Radiography , Retrospective Studies , Symptom AssessmentSubject(s)
COVID-19/complications , Kidney Failure, Chronic/complications , Pancreatitis/complications , Pancreatitis/therapy , Peritoneal Dialysis/methods , SARS-CoV-2 , Automation , Biomarkers , COVID-19/diagnosis , COVID-19/virology , Disease Management , Female , Humans , Middle Aged , Symptom Assessment , Tomography, X-Ray Computed , Treatment OutcomeABSTRACT
PURPOSE: Acute respiratory illness is the leading cause of hospitalization for young children. Current guidelines recommend against testing to identify specific viruses due to a lack of data on the benefit of such testing. This study was designed to characterize epidemiology, hospital course, and outcomes of the various common virus -related hospitalization in children. METHOD: Single-center retrospective chart review. All patients who had respiratory viral panel sent within 48â¯h of admission. Comparative demographic and outcome analysis. Statistical analysis using ANOVA and multivariable regression. RESULT: 1831 patients met the study criteria. Rhinovirus was the most common virus (55.9%). Coronavirus had the highest proportion of infants (61.2%), while influenza had the least (17.8%). Positive urine culture identified in 8.1% of patients, with blood and urine positivity at 2% each. Rhinovirus and parainfluenza were spread throughout the year, while Corona, RSV, and influenza were more predominant in winter months. Overall PICU admission rate 22.8% and was highest for RSV (28.0%) and lowest for adenovirus (13.5%). No difference in ICU length of stay among different virus. Intubation rate was 5.6% with a median duration of 5 days. Median hospital length of stay was 2 days and differ significantly with different virus (maximum four RSV and metapneumo virus). Mortality in the study population was 0.3%. CONCLUSION: The difference in the disease course of different viruses may justify the resources required to test for the respiratory viral panel. This study data can serve as a benchmark for comparison of disease course of COVID-19 compared to other viral infections.