1,720,970 research outputs found
The Economic Crisis and Acute Myocardial Infarction: New Evidence Using Hospital-Level Data.
Full text linkThis research sought to assess whether and to what extent the ongoing economic crisis in Italy impacted hospitalizations, in-hospital mortality and expenditures associated with acute myocardial infarction (AMI).The data were obtained from the hospital discharge database of the Italian Health Ministry and aggregated at the hospital level. Each hospital (n = 549) was observed for 4 years and was geographically located within a "Sistema Locale del Lavoro" (SLL, i.e., clusters of neighboring towns with a common economic structure). For each SLL, the intensity of the crisis was determined, defined as the 2012-2008 increase in the area-specific unemployment rate. A difference-in-differences (DiD) approach was employed to compare the increases in AMI-related outcomes across different quintiles of crisis intensity.Hospitals located in areas with the highest intensity of crisis (in the fifth quintile) had an increase of approximately 30 AMI cases annually (approximately 13%) compared with hospitals in area with lower crisis intensities (p<0.001). A significant increase in total hospital days was observed (13%, p<0.001) in addition to in-hospital mortality (17%, p<0.001). As a consequence, an increase of around €350.000 was incurred in annual hospital expenditures for AMI (approximately 36%, p<0.001).More attention should be given to the increase in health needs associated with the financial crisis. Policies aimed to contrast unemployment in the community by keeping and reintegrating workers in jobs could also have positive impacts on adverse health outcomes, especially in areas of high crisis intensity
The difference-in-differences analysis of the predicted and actual (in parenthesis) values<sup>a</sup>.
No full text<p><sup>a</sup> The values represent the predictions per hospital per year based on panel-data regressions. Regression for “expenditure” is a linear panel data fixed effect. The others are Poisson random effects. All regressions include 4 quintiles dummies, 3 year-dummies, the interaction between quintiles and years, province-level dummies, the log of the population per year and a private hospital indicator. The actual values from the original data are presented in parentheses.</p><p><sup>b</sup> The p-value for the t-test on the differences between the mean increase in the case group and the mean increase in the control group.</p><p>The difference-in-differences analysis of the predicted and actual (in parenthesis) values<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142810#t002fn001" target="_blank"><sup>a</sup></a>.</p
The actual and predicted % changes in hospitalizations and hospital days, by quintiles of crisis intensity.
No full text<p>Predictions without Crisis Intensity (CI) do not include dummies for the quintiles of CI.</p
Acute Myocardial Infarction in Italy: descriptive statistics and trends of the main variables <sup>a</sup>.
No full text<p><sup>a</sup> Values are per-hospital per-year.</p><p><sup>b</sup> T-test for mean differences.</p><p>Acute Myocardial Infarction in Italy: descriptive statistics and trends of the main variables <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142810#t001fn001" target="_blank"><sup>a</sup></a>.</p
The fractional polynomial fit of changes in the outcome quintiles (20) of crisis intensity, with 95% confidence intervals.
No full text<p>The fractional polynomial fit of changes in the outcome quintiles (20) of crisis intensity, with 95% confidence intervals.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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