1,721,177 research outputs found
ABOUT CHPAMS: FROM THE CHPAMS PLANNING COMMITTEE CHPAMS Leadership Transition
Full text linkDr. Zhuo (Adam) Chen, a senior health economist with the U.S. Centers for Disease Control and Prevention, announced his decision to leave the Chair position of the CHPAMS Planning Committee. Professor Qi (Harry) Zhang was nominated and confirmed to serve as the Chair of CHPAMS Planning Committee. Dr. Chen briefly reviewed the success of CHPAMS in the past five years, including the Westlake Forums CHPAMS assisted, the founding and publication of the China Health Review (CHR), the establishment of the CHPAMS Best Papers Award, and the CHPAMS Monthly newsletter. Dr. Chen expressed his gratitude to everyone who have helped CHPAMS and volunteered his/her service to CHPAMS.
Racial/Ethnic Disparity In Disease-Risk Genetic Testing
No full textIntroduction: Disease-risk genetic testing plays a central role in precision medicine by enabling early detection, prevention, and individualized treatment. This dissertation aims to quantify awareness and utilization of disease-risk genetic testing and post-test behaviors, including result sharing and health-related changes and to examine factors contributing to disparities across racial and ethnic groups
Methods: Data were drawn from the 2022 Health Information National Trends Survey (HINTS 2022), a cross-sectional, national survey of U.S. adults. Survey-weighted descriptive and multivariable logistic regression analyses were conducted to identify disparities and influential factors in awareness, utilization, and post-test behaviors of disease-risk genetic testing. The analysis was further stratified by racial/ethnic groups to examine subgroup-specific determinants.
Results: A total of 52.6% of respondents reported awareness of disease-risk genetic testing, while 14.3% reported test use. Among the users, 57.9% shared results with healthcare providers or genetic counselors, 61.4% with a first-degree relative, and 45.0% reported post-test behavior changes. Awareness was lower among Hispanic (40.8%), Black (49.0%), and Asian American/Pacific Islander (AAPI) (42.2%) populations compared with non-Hispanic Whites (63.4%). Lack of awareness was associated with older age, lower education, limited internet access, and absence of family cancer history, though determinants varied by race/ethnicity. Compared with Whites, AAPI participants were more than three times as likely not to utilize test, while no significant difference was observed for either Hispanic or non-Hispanic African American participants. Factors having a statistically significant effect on utilization included AAPI race/ethnicity group (negative), having a regular provider (positive), and perceptions about progress in curing cancer (positive). Results sharing with healthcare providers and first-degree relatives was positively associated with having a regular provider, White race/ethnicity, higher incomes and having a family cancer history. The influential factors varied across race/ethnicity groups.
Conclusion:
Substantial racial and ethnic disparities persist in awareness, utilization, and post-test behaviors related to disease-risk genetic testing, with the most notable gaps experienced among AAPI populations. The findings of influential factors vary among racial/ethnic groups. Future research utilizing large, nationally representative datasets and incorporating more granular genetic testing information is warranted to validate and extend these findings. Culturally tailored interventions, stronger provider communication, and inclusive policies are needed to ensure equitable access and reduce disparities in genetic testing and precision medicine.Ph
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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