1,720,954 research outputs found
Incidence of skin diseases in healthcare workers before and during the COVID‐19 pandemic at Trieste hospitals (northeastern Italy)
BACKGROUND: Occupational skin diseases (OSDs) are common in healthcare workers (HCWs). OBJECTIVES: To investigate and compare the incidence and clinical features of OSDs among HCWs before and during the COVID‐19 pandemic. MATERIALS AND METHODS: Incident cases of OSDs were investigated in the cohort of HCWs at Trieste Hospitals from 1 July 2018 (3340 workers) to 31 October 2021 (137 532 person‐months). RESULTS: The monthly incidence was ranging from 0 to 11.90 cases per 10 000 person‐months in pre‐COVID‐19 period (cumulative incidence 4.22; 95% confidence interval [CI]: 2.9–6.0) and from 0 to 13.61 cases per 10 000 person‐months in COVID‐19 period (cumulative incidence 5.06; 95% CI: 3.6–6.9). The incidence rate ratio (IRR) between COVID‐19 and pre‐COVID‐19 period was 1.22 (95% CI: 0.73–1.98). The incidence of OSDs in the COVID‐19 period was 6.1 (4.2–8.6) and 2.7 (95% CI: 1.1–5.6) cases × 10 000 person‐months for women and men, respectively, with an IRR of 2.25 (95% CI: 0.98–5.9). Incidence in nurses in the COVID‐19 period was 6.7 (95% CI: 4.2–10.2) cases × 10 000 person‐months. CONCLUSIONS: Incidence of OSDs was a little bit higher during the COVID‐19 pandemic compared to the previous period but fluctuation of numbers were mainly related to calendar period, with higher incidence in winter and spring. Incidence data were higher than that observed in 2004–2013 in the same cohort. Face dermatitis cases doubled after the start of COVID‐19 pandemic. Overall data demonstrated a non‐significant increase of OSDs in HCWs during the pandemic, probably due to the preventive strategies set up in our cohort over the years
Investigating the role of organizational stress in nurses' psychosomatic complaints: Evidence from a study in northeastern Italy
Nursing is a profession known for its indispensable role in healthcare, yet it comes with multifaceted challenges, including high levels of organizational stress. This study aims to investigate the associations between exposure to organizational stressors, measured by the Health and Safety Executive Management Standards Indicator Tool, and psychosomatic complaints among nurses in a medium-sized city hospital in northeastern Italy. A total of 215 nurses participated in the study, completing self-report questionnaires assessing organizational stressors and the prevalence of psychosomatic complaints over the last six months. Results revealed significant associations between various organizational stressors and psychosomatic complaints, with the Relationships factor emerging as a significant predictor of palpitations, irritability, anxiety, physical and mental tiredness, and headache. Additionally, Demands and Managers' support were identified as significant predictors of specific psychosomatic complaints. Strengths of the study include the use of a well-established measurement tool and a comprehensive assessment of psychosomatic complaints. However, limitations such as the cross-sectional design and self-report measures need consideration. These findings underscore the critical role of addressing organizational stressors, particularly those related to interpersonal relationships, in promoting nurse well-being and optimizing patient care delivery. By prioritizing supportive work environments and implementing targeted interventions, healthcare organizations can foster a culture of well-being among nurses, ultimately enhancing the quality and safety of healthcare delivery
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
We 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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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