158 research outputs found

    Utilizing the Technology Acceptance Model to Predict System Use of an Interactive Behavior Change Technology to Deliver Virtual Diabetes Health Education

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    Diabetes is expected to affect more than 21% of the U.S. adult population by the year 2050 (Boyle, Thompson, Gregg, Barker, & Williamson, 2010). What is important to understand about diabetes is that there are safe, effective non-pharmaceutical lifestyle modifications and pharmaceutical treatment options that can prevent and delay the onset of complications. Telehealth efforts are practical solutions increasingly used in the health services delivery model to improve self-care management practices among patients with multiple chronic conditions (Davis, Hitch, Salaam, Herman, Zimmer-Galler, & Mayer-Davis, 2010; Eng, Gustafson, Henderson, Jimison, & Patrick, 1999; Fitzner & Moss, 2013; Gruman, 2011; Lin, 1999; Noell & Glasgow, 1999). The purpose of this study was to examine the effectiveness of the Technology Acceptance Model (TAM) as a theoretical framework to identify predictors of system use of telehealth messages among diabetes patients, aged 18-65, in a primary care setting. This study employed mixed methods methodologies; a randomized, pretest-posttest research design was used with a quantitative survey. The qualitative component evaluated the response to the participant\u27s likelihood of using the resources provided to enhance the self-care management of diabetes. One-hundred fifty participants, aged 1865 diagnosed with type 2 diabetes were enrolled in the study. Participants were randomized to experience seven weeks of telehealth messages on self-care behaviors or to receive educational handouts. Blood pressure was statistically significantly higher at baseline compared to follow-up. Findings revealed that blood pressure readings decreased at follow-up. Experimental group participants had statistically significantly lower Behavior Score Instrument scores at baseline than at two months and follow-up. In the TAM framework, intentions predict actual system use. Multivariate statistics revealed that age was a stronger predictor of actual system use. As age increased, the number of messages participants listened to increased. Results showed a statistically significant relationship existed between behavioral intention to use and actual system use. Findings suggests that the telephone as a communication medium, coupled with traditional face-to-face self-care diabetes management education offers an opportunity to reinforce effective diabetes management practices and provide an immediate intervention to engage patients on healthier lifestyle modifications to manage diabetes and reduce its associated complications

    A Decade of Diabetes Hospitalizations: Meaningful Information for Community-Based Health Services Administrators for Identifying and Assessing Risk

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    The American Diabetes Association has established that the largest contributor of expenditures related to the cost of care for diabetes is inpatient hospital care. Research has shown that when multiple hospitalizations have been examined, patients diagnosed with diabetes have higher same year readmission rates. Medicare-enrolled patients with coronary artery disease and diabetes who participated in a diabetes management intervention that included self-care behavior instructions and nurse management had fewer emergency room visits and hospitalizations for diabetes related care. In the US, an aging population and expected changes in the ethnic composition prompts an alert to actively address the need for prevention, early detection, reduction of associated complications experienced, and exploration of a cure of the chronic condition of diabetes. This study’s purpose was two-fold: to examine the variability in hospitalization rates of diabetes by geographical location and age groups from 2000-2011 to examine any statistically significant relationships. The study further proposes the exploration of low-cost technology mechanisms to reduce diabetes related hospitalizations through the use of mHealth. Practical interventions using mHealth technologies are feasible solutions to addressing virtual prevention efforts and improving the outcomes of care among patients diagnosed with diabetes

    Insight dimensions and cognitive function in psychosis: a longitudinal study

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    BACKGROUND: It has been reported that lack of insight is significantly associated with cognitive disturbance in schizophrenia. This study examines the longitudinal relationships between insight dimensions and cognitive performance in psychosis. METHODS: Participants were 75 consecutively admitted inpatients with schizophrenia, affective disorder with psychotic symptoms or schizoaffective disorder. Assessments were conducted at two time points during the study: at the time of hospital discharge after an acute psychotic episode and at a follow-up time that occurred more than 6 months after discharge. A multidimensional approach of insight was chosen and three instruments for its assessment were used: the Scale to Assess Unawareness of Mental Disorder (SUMD), three items concerning insight on the Assessment and Documentation in Psychopathology (AMDP) system and the Insight and Treatment Attitudes Questionnaire. The neuropsychological battery included a wide range of tests that assessed global cognitive function, attention, memory, and executive functions. RESULTS: After conducting adequate statistical correction to avoid Type I bias, insight dimensions and cognitive performance were not found to be significantly associated at cross-sectional and longitudinal assessments. In addition, baseline cognitive performance did not explain changes in insight dimensions at follow-up. Similar results were found in the subset of patients with schizophrenia (n = 37). The possibility of a Type II error might have increased due to sample attrition at follow-up. CONCLUSION: These results suggest that lack of insight dimensions and cognitive functioning may be unrelated phenomena in psychosis

    2017 Update of ESC/EAS Task Force on practical clinical guidance for proprotein convertase subtilisin/kexin type 9 inhibition in patients with atherosclerotic cardiovascular disease or in familial hypercholesterolaemia

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    A correction has been published: European Heart Journal, Volume 39, Issue 22, 7 June 2018, Pages 2105Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2017.info:eu-repo/semantics/publishedVersio

    Prima facie reasons to question enclosed intellectual property regimes and favor open-source regimes for germplasm

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    In principle, intellectual property protections (IPPs) promote and protect important but costly investment in research and development. However, the empirical reality of IPPs has often gone without critical evaluation, and the potential of alternative approaches to lend equal or greater support for useful innovation is rarely considered. In this paper, we review the mounting evidence that the global intellectual property regime (IPR) for germplasm has been neither necessary nor sufficient to generate socially beneficial improvements in crop plants and maintain agrobiodiversity. Instead, based on our analysis, the dominant global IPR appears to have contributed to consolidation in the seed industry while failing to genuinely engage with the potential of alternatives to support social goods such as food security, adaptability, and resilience. The dominant IPR also constrains collaborative and cumulative plant breeding processes that are built upon the work of countless farmers past and present. Given the likely limits of current IPR, we propose that social goods in agriculture may be better supported by alternative approaches, warranting a rapid move away from the dominant single-dimensional focus on encouraging innovation through ensuring monopoly profits to IPP holders

    Gut microbiota and diabetes: from pathogenesis to therapeutic perspective

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    More than several hundreds of millions of people will be diabetic and obese over the next decades in front of which the actual therapeutic approaches aim at treating the consequences rather than causes of the impaired metabolism. This strategy is not efficient and new paradigms should be found. The wide analysis of the genome cannot predict or explain more than 10–20% of the disease, whereas changes in feeding and social behavior have certainly a major impact. However, the molecular mechanisms linking environmental factors and genetic susceptibility were so far not envisioned until the recent discovery of a hidden source of genomic diversity, i.e., the metagenome. More than 3 million genes from several hundreds of species constitute our intestinal microbiome. First key experiments have demonstrated that this biome can by itself transfer metabolic disease. The mechanisms are unknown but could be involved in the modulation of energy harvesting capacity by the host as well as the low-grade inflammation and the corresponding immune response on adipose tissue plasticity, hepatic steatosis, insulin resistance and even the secondary cardiovascular events. Secreted bacterial factors reach the circulating blood, and even full bacteria from intestinal microbiota can reach tissues where inflammation is triggered. The last 5 years have demonstrated that intestinal microbiota, at its molecular level, is a causal factor early in the development of the diseases. Nonetheless, much more need to be uncovered in order to identify first, new predictive biomarkers so that preventive strategies based on pre- and probiotics, and second, new therapeutic strategies against the cause rather than the consequence of hyperglycemia and body weight gain

    Effects of alirocumab on types of myocardial infarction: insights from the ODYSSEY OUTCOMES trial

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    Aims  The third Universal Definition of Myocardial Infarction (MI) Task Force classified MIs into five types: Type 1, spontaneous; Type 2, related to oxygen supply/demand imbalance; Type 3, fatal without ascertainment of cardiac biomarkers; Type 4, related to percutaneous coronary intervention; and Type 5, related to coronary artery bypass surgery. Low-density lipoprotein cholesterol (LDL-C) reduction with statins and proprotein convertase subtilisin–kexin Type 9 (PCSK9) inhibitors reduces risk of MI, but less is known about effects on types of MI. ODYSSEY OUTCOMES compared the PCSK9 inhibitor alirocumab with placebo in 18 924 patients with recent acute coronary syndrome (ACS) and elevated LDL-C (≄1.8 mmol/L) despite intensive statin therapy. In a pre-specified analysis, we assessed the effects of alirocumab on types of MI. Methods and results  Median follow-up was 2.8 years. Myocardial infarction types were prospectively adjudicated and classified. Of 1860 total MIs, 1223 (65.8%) were adjudicated as Type 1, 386 (20.8%) as Type 2, and 244 (13.1%) as Type 4. Few events were Type 3 (n = 2) or Type 5 (n = 5). Alirocumab reduced first MIs [hazard ratio (HR) 0.85, 95% confidence interval (CI) 0.77–0.95; P = 0.003], with reductions in both Type 1 (HR 0.87, 95% CI 0.77–0.99; P = 0.032) and Type 2 (0.77, 0.61–0.97; P = 0.025), but not Type 4 MI. Conclusion  After ACS, alirocumab added to intensive statin therapy favourably impacted on Type 1 and 2 MIs. The data indicate for the first time that a lipid-lowering therapy can attenuate the risk of Type 2 MI. Low-density lipoprotein cholesterol reduction below levels achievable with statins is an effective preventive strategy for both MI types.For complete list of authors see http://dx.doi.org/10.1093/eurheartj/ehz299</p

    26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017

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    This work was produced as part of the activities of FAPESP Research,\ud Disseminations and Innovation Center for Neuromathematics (grant\ud 2013/07699-0, S. Paulo Research Foundation). NLK is supported by a\ud FAPESP postdoctoral fellowship (grant 2016/03855-5). ACR is partially\ud supported by a CNPq fellowship (grant 306251/2014-0)

    Evacetrapib and Cardiovascular Outcomes in High-Risk Vascular Disease

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    BACKGROUND: The cholesteryl ester transfer protein inhibitor evacetrapib substantially raises the high-density lipoprotein (HDL) cholesterol level, reduces the low-density lipoprotein (LDL) cholesterol level, and enhances cellular cholesterol efflux capacity. We sought to determine the effect of evacetrapib on major adverse cardiovascular outcomes in patients with high-risk vascular disease. METHODS: In a multicenter, randomized, double-blind, placebo-controlled phase 3 trial, we enrolled 12,092 patients who had at least one of the following conditions: an acute coronary syndrome within the previous 30 to 365 days, cerebrovascular atherosclerotic disease, peripheral vascular arterial disease, or diabetes mellitus with coronary artery disease. Patients were randomly assigned to receive either evacetrapib at a dose of 130 mg or matching placebo, administered daily, in addition to standard medical therapy. The primary efficacy end point was the first occurrence of any component of the composite of death from cardiovascular causes, myocardial infarction, stroke, coronary revascularization, or hospitalization for unstable angina. RESULTS: At 3 months, a 31.1% decrease in the mean LDL cholesterol level was observed with evacetrapib versus a 6.0% increase with placebo, and a 133.2% increase in the mean HDL cholesterol level was seen with evacetrapib versus a 1.6% increase with placebo. After 1363 of the planned 1670 primary end-point events had occurred, the data and safety monitoring board recommended that the trial be terminated early because of a lack of efficacy. After a median of 26 months of evacetrapib or placebo, a primary end-point event occurred in 12.9% of the patients in the evacetrapib group and in 12.8% of those in the placebo group (hazard ratio, 1.01; 95% confidence interval, 0.91 to 1.11; P=0.91). CONCLUSIONS: Although the cholesteryl ester transfer protein inhibitor evacetrapib had favorable effects on established lipid biomarkers, treatment with evacetrapib did not result in a lower rate of cardiovascular events than placebo among patients with high-risk vascular disease. (Funded by Eli Lilly; ACCELERATE ClinicalTrials.gov number, NCT01687998 .)
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