55 research outputs found

    Flow chart, step-by-step results (with reference to results in Tables 3, 4 and 5).

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    <p>Flow chart, step-by-step results (with reference to results in Tables <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0004182#pntd.0004182.t003" target="_blank">3</a>, <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0004182#pntd.0004182.t004" target="_blank">4</a> and <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0004182#pntd.0004182.t005" target="_blank">5</a>).</p

    All components of the individual co-author network for Chagas disease.

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    <p>Giant components for Chagas disease, including all other, smaller components of the co-author network. The sizes of the nodes are scaled by betweenness centrality, and the nodes represent individual authors with more than two publications. Links between the nodes (edges) represent a co-authored publication.</p

    Asthma management practices in adults – findings from the German Health Update (GEDA) 2010 and the German National Health Interview and Examination Survey (DEGS1) 2008–2011

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    <p><i>Objectives</i>: In Germany, population-wide data on adherence to national asthma management guidelines are lacking, and performance measures (PM) for quality assurance in asthma care are systematically monitored for patients with German national asthma disease management program (DMP) enrollment only. We used national health survey data to assess variation in asthma care PM with respect to patient characteristics and care context, including DMP enrollment. <i>Methods</i>: Among adults 18–79 years with self-reported physician-diagnosed asthma in the past 12 months identified from a recent German National Health Interview Survey (GEDA 2010: <i>N</i> = 1096) and the German National Health interview and Examination Survey 2008–2011 (DEGS1: <i>N</i> = 333), variation in asthma care PM was analyzed using logistic regression analysis. <i>Results</i>: Overall, 38.4% (95% confidence interval: 32.5–44.6%) of adults with asthma were on current inhaled corticosteroid therapy. Regarding non-drug asthma management, low coverage was observed for inhaler technique monitoring (35.2%; 31.2–39.3%) and for provision of an asthma management plan (27.3%; 24.2–30.7%), particularly among those with low education. Specific PM were more complete among persons with than without asthma DMP enrollment (adjusted odds ratios ranging up to 10.19; 5.23–19.86), even if asthma patients were regularly followed in a different care context. <i>Conclusions</i>: Guideline adherence appears to be suboptimal, particularly with respect to PM related to patient counseling. Barriers to the translation of recommendations into practice need to be identified and continuous monitoring of asthma care PM at the population level needs to be established.</p

    Number of international NTD publications listed in SCOPUS from around the world and with author affiliations to Germany by diseases, as ordered by the number of publications with German affiliations.

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    <p>Number of international NTD publications listed in SCOPUS from around the world and with author affiliations to Germany by diseases, as ordered by the number of publications with German affiliations.</p

    Giant components of individual co-author networks.

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    <p>Individual researcher networks are based on co-author networks affiliated with Germany for (A) Leishmaniasis, (B) Schistosomiasis, (C) Chagas disease, (D) Sleeping Sickness and (E) Onchocerciasis. The figure shows giant components, i.e., the components in the network that include the largest number of authors, and smaller components are not shown. The node size is scaled by betweenness centrality, and each node represents individual authors with more than two publications. Links between the nodes (edges) represent a co-authored publication. The 'Force Atlas' layout simulates repulsion forces between nodes, and thus the network spreads as far as the edges holding them together will allow, allowing for the interpretation of how closely authors are working together. For further explanation of network analysis terms, please see <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0004182#pntd.0004182.t001" target="_blank">Table 1</a>.</p

    Odds ratios of Steiner school attendance, sociodemographic variables, current and childhood lifestyle factors on diseases; from multivariable logistic regression including all factors listed (fully adjusted model 3).

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    <p>Age and Social support (higher values mean higher social support) are continuous variables.</p><p>Comparison category for categorical variables: Sex: Female, Region: Berlin, Education: below A-levels, Family status: in relationship, alcohol consumption less than moderate, non-smoker, attention to balanced diet less than moderate, intake of fresh vegetables and fruits on less than 5 days a week, attention physical activity less than moderate, Education of parents: A-levels, attention to balanced diet in childhood less than moderate, attention to physical activity in childhood less than moderate, Parents in favour of pedagogic method: yes, spiritual or religious beliefs of parents: yes.</p
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