1,720,963 research outputs found
Development and validation of a risk prediction model for caesarean delivery among multiparous women
No full textAbstract: While caesarean risk prediction models exist for nulliparous and high-risk pregnancies, there is a lack of models that predict the risk of caesarean delivery among multiparous women. This study aimed to develop and validate a risk prediction model for caesarean delivery and assess its clinical utility among multiparous women. Using data from 460 participants, a prediction model was developed to predict the risk of caesarean delivery. The model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and calibration plot, and the model was internally validated using bootstrapping technique. A simplified risk score was calculated, and a nomogram was developed for the individual caesarean delivery risk guide. Additionally, a decision curve analysis was performed to assess the clinical utility of the model. The final model included four predictors: maternal age, previous caesarean delivery, pregnancy-induced hypertension, and antepartum hemorrhage. The model had an AUC of 78.0% (95% CI 71.1-84.8), indicating good discrimination capacity. The model also exhibited good calibration and a low overoptimism coefficient, indicating minimal risk of overfitting. The risk prediction model has good clinical utility for discriminating multiparous women at risk of caesarean delivery. The tool can guide clinicians in estimating the risk of caesarean delivery among multiparous women that could lead to improved maternal and neonatal outcomes, ultimately enhancing the quality of care delivered in low-resource settings
Knowledge on Intrapartum Danger Sign Influences Place of Delivery: The Case of Raya Kobo District, Northeastern Ethiopia
No full textBackground: A skilled birth attendance for every pregnant woman during childbirth is the most crucial intervention for improving maternal health. This study aimed to assess institutional delivery service utilization and associated factors among mothers who gave birth in the last 12 months in Raya Kobo district, Ethiopia.
Methods: A community-based cross-sectional study was carried out in the Raya Kobo district of Amhara Regional State during March 2016. Logistic regression analysis was performed to assess the association between each independent variable and the outcome variable. Variables with a p-value <0.05 were considered significant.
Results: A total of 493 mothers were included in the study, with a response rate of 95.4%. The mean (+SD) age of the study participants was 29.13 (±6.93) years. About 73% of the study participants had attended at least one antenatal care follow up for their last pregnancy, and 56.6% (95% CI: 52.0, 61.0%) gave birth at health institutions. Travelling for 30 minutes and less [AOR=2.95(1.89, 4.58)], attending antenatal care [AOR=6.0(3.55, 10.13)], having knowledge about intrapartum danger signs [AOR=2.48(1.44, 4.24)] and getting information from health extension workers (HEWs) regarding maternal health services were positively associated.
Conclusion: The district health office should strengthen its effort to provide free ambulance accessibility and provide information on danger signs of intrapartum complications and the importance of using institutional delivery service to every mother who came to the antenatal clinic. Furthermore, the district health officials should focus on strengthening the capacity of HEWs in relation to maternal health services
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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