1,721,020 research outputs found
Adherence to Treatment by Initial Antihypertensive Mono and Combination Therapies
No full textBACKGROUNDAim of our study was to compare adherence to antihypertensive drug therapy between newly treated patients in whom monotherapy or a 2-drug single-pill combination (SPC) was initially dispensed.METHODSThe 63,448 residents of Lombardy Region (Italy), aged 40-80 years, who were newly treated with antihypertensive drugs during 2016, were identified and followed for 1 year after the first prescription. The outcome of interest was adherence to drug therapy that was measured according to the "proportion of days covered" (PDC) criterion, i.e., the ratio between the number of days in which the drug was available and the days of follow-up. Patients who had a PDC >75% and <25% were defined as highly and poorly adherent to drug therapy, respectively. Log-binomial regression models were fitted to compare the propensity to treatment adherence between the initial therapeutic strategies, after adjusting for baseline demographic and clinical covariates.RESULTSAbout 46% and 17% of patients showed high and poor adherence, respectively. Compared with patients under initial monotherapy (85%), those who were initially treated with a SPC (15%) had higher propensity to be highly adherent and a lower propensity to be poorly adherent to antihypertensive treatment (risk ratio: 1.18, 95% confidence interval 1.16-1.21; 0.42, 0.39-0.45, respectively). This was the case regardless the sex, the age, the patient clinical status, and with almost any type of SPC.CONCLUSIONSIn a real-life setting, patients who were initially prescribed a 2-drug SPC exhibited more frequently a good adherence to antihypertensive treatment than those starting with a single drug
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Determinants of the economic burden of ART on the Italian NHS: insights from the Lombardy region
Full text linkAbstract With the rising spread of Assisted Reproductive Technology (ART), it becomes imperative to understand the determinants of resource utilization in ART versus spontaneous pregnancies to enhance policies directed to pregnancy care. The focus of our study is to examine the costs associated with ART from the perspective of the Italian NHS and to investigate in depth the contributing social and clinical factors. Using the healthcare informative system of Lombardy, a Region of Northern Italy, we gathered individual-level information for a cohort of women who experienced either spontaneous pregnancies or pregnancies following ART from 2007 until 2020. The information covered multiple healthcare services, and we used a propensity score matching technique to match couples of ART/No ART women based on a comprehensive set of confounders. We then applied statistical tests and regression models to identify the impact of ART on the reported cost differences. Our cohort was composed of 44652 women and results revealed significantly higher costs for ART pregnancies, especially in terms of hospital admissions (additional 1611€, 95% CI 1558-1666) and drug prescriptions (additional 216 €, CI 95% 204-228) occurring before delivery. In-depth analysis showed for ART pregnancies, i) a higher likelihood of incurring expenses related to complications and ii) higher costs associated with two established clinical practices that lack scientific evidence supporting their efficacy. Our study sheds light on the complex interplay of clinical and social factors influencing the ART burden, emphasizing the importance of tailored support and evidence-based practices in optimizing outcomes and resource allocation
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
