1,720,958 research outputs found
Post-pandemic maternity care planning for vaccination : a qualitative study of the experiences of women, partners, health care professionals, and policy makers in the United Kingdom
Get PDFMaternal vaccination during pregnancy, in general and against COVID-19 infection, offers protection to both mother and baby, but uptake remains suboptimal. This study aimed to explore the perceptions regarding COVID-19 vaccination in pregnancy, particularly for marginalised populations and those living with social or medical complexity. A total of 96 semi-structured in-depth interviews were conducted with 40 women, 15 partners, 21 HCPs, and 20 policy makers, across all four nations of the United Kingdom (UK), discussing their lived experience of utilising, delivering, or developing policy for COVID-19 vaccination in pregnancy during the pandemic. Three themes were derived: (1) historical and social context, (2) communication of information and guidance, and (3) appraisal and action. Together these captured the participants’ legacy of mistrust in drugs during pregnancy; prior positive experiences; concerns about missing information, conflicting information, or false information about COVID-19 vaccines; and confusing guidance for pregnant women. The final theme describes the participants’ behaviour and actions undertaken consequent to their experiences and the available information. The findings suggest efforts to improve COVID-19 vaccination in pregnancy may be best focused on personalised communication of information. A trusting relationship and prior positive experiences with other vaccines, both in and outside of pregnancy, positively influenced perceptions of COVID-19 vaccination
Healthcare providers' experiences of maternity care service delivery during the COVID-19 pandemic in the United Kingdom : a follow-up systematic review and qualitative evidence synthesis
Get PDFProblem and background: During the COVID-19 pandemic, there was substantial reconfiguration of maternity care services, affecting both users and healthcare providers (HCPs), in the United Kingdom (UK) and globally. Aim: To further our understanding of the impact of maternity service reconfigurations in the UK, from the perspective of maternity HCPs. Methods: Scopus, MEDLINE, EMBASE, CINAHL, PsycINFO and the Cochrane COVID Study Register were searched for relevant studies reporting qualitative data from the UK, published in English between 01 June 2021 and 30 September 2023. Qualitative data on HCPs’ experiences of maternity care reconfiguration during the pandemic were extracted from 15 studies. Data were subjected to thematic synthesis according to key service reconfigurations. Results: Nine themes were identified: Care-seeking and Care Experience: Changes to existing care, Limitations placed on the partner, Mental health and lack of support networks, and Barriers to successful implementation of reconfiguration strategies; Virtual Care: Impact on quality of care, Increased convenience and flexibility, and Digital exclusion; and Ethical Future of Maternity Care Services: Optimising patient care, and Service users and staff as the driving force for change. No studies reported on the concepts of Self-monitoring or COVID-19 vaccination. Discussion and conclusion: The review findings highlight HCPs’ views of the need for greater inclusion of partners, choice of virtual or in-person care for women and birthing people; and a need for co-designed services for future policy-making
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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