1,720,959 research outputs found
The Nursing Organisational Context and the Surgical Site Infections: A Structural Equational Model
Aim: To assess the relationships existing among variables of the organisational context-staffing, stress-related demands, workloads-and the occurrence of Surgical Site Infections (SSIs). Design: An observational study was conducted. Methods: A convenience sample of nurses directly involved in patient care was recruited. Staffing levels, workload and stress were measured using valid and reliable instruments. The prevalence of SSIs was recorded over 30 days using the European Centre for Disease Prevention and Control (ECDC) classification. Data were analysed using structural equation modelling. Results: This study enrolled 133 nurses. Higher SSI rates were associated with inadequate nurse staffing during daily shifts, increased workloads, evolving patient care needs and elevated stress levels among nurses due to work demands. Discussion: While the prevention of SSIs requires multidisciplinary collaboration, findings from this study suggest that the nursing organisational context-especially staffing and workload-had a direct impact on nurses' stress levels and an indirect influence on the prevalence of SSIs. Conclusion: Nurse managers and head nurses should improve nurses' working conditions and promote specific interventions for their organisational well-being to influence SSI prevalence. Patient or public contribution: Despite patients and the public not being involved in the study's design and interpretation, the findings suggest new insights for healthcare organisations. Managing staffing levels, workloads and stress levels among nurses could improve patient safety and reduce the rates of SSIs. These outcomes advocate for strategic planning and organisational changes to boost the quality of care in surgical environments
AI-Driven Circular Waste Management Tool for Enhancing Circular Economy Practices in Healthcare Facilities
The increasing complexity in hospital waste management requires innovative solutions that integrate sustainability and regulatory compliance. This study proposes an AI-based decision tool to support the circular management of healthcare waste. The approach combines two key elements: (i) the systematic qualitative analysis of international, European, and national regulations, scientific literature, and best practices aimed at identifying strategic actions; (ii) the prioritization of these actions through machine learning, using a Random Forest classifier. We identified 55 actions, grouped into 13 thematic areas, and used them as input variables to assess their impact on regulatory compliance. The variable importance analysis allowed us to classify actions according to their strategic relevance, guiding the structure of the tool and its user interface. Validation, conducted on four simulated case studies, demonstrated the system's ability to improve compliance monitoring, operational efficiency, and the implementation of circular economy and Zero-Waste strategies. The proposed model represents a scalable and evidence-based solution capable of supporting the ecological transition of healthcare facilities in line with EU directives and the Sustainable Development Goals
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
Healthcare-associated infections and nursing leadership: A systematic review
Healthcare-associated infections are strictly related to healthcare practices. A head nurse stimulates and motivates nurses, boosts nurses’ job performance and satisfaction, and can influence adverse event development.
To explore the relationship between healthcare-associated infections and head nurse leadership style.
A systematic review was conducted. The search was conducted from 1973 until March 2022 on PubMed, Cochrane Library, Scopus, CINAHL, Web of Science, Embase, and APA PsycInfo databases. The review followed the Joanna Briggs Institute Manual for Evidence Synthesis and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A thematic synthesis and critical appraisal of the included studies have been conducted.
Eight articles were included in this review. Head nurses’ leadership, supported by the organization, can positively influence the job performance and job satisfaction of nurses by reducing infection rates associated with vascular access and urinary catheters.
Authentic and transformational nurse leadership styles can foster targeted interventions and improvements tailored to preventing and controlling healthcare-associated infections. Even if there is limited evidence, the results support that the occurrence of infections can be reduced by leadership strategies implemented by head nurses
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
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