scholarly journals Mentored Training to Increase Diversity among Faculty in the Biomedical Sciences: The NHLBI Summer Institute Programs to Increase Diversity (SIPID) and the Programs to Increase Diversity among Individuals Engaged in Health-related Research (PRIDE)

2017 ◽  
Vol 27 (3) ◽  
pp. 249 ◽  
Author(s):  
Treva K. Rice ◽  
Donna B. Jeffe ◽  
Josephine E.A. Boyington ◽  
Jared B. Jobe ◽  
Victor G. Davila-Roman ◽  
...  
Keyword(s):  
Career Development ◽  
Junior Faculty ◽  
The United States ◽  
Grant Writing ◽  
Summer Institute ◽  
Biomedical Sciences ◽  
Related Research ◽  
Research Education ◽  
Health Related Research ◽  
Health Related

<p class="Pa5"><strong>Objective: </strong>To report baseline character­istics of junior-level faculty participants in the Summer Institute Programs to Increase Diversity (SIPID) and the Programs to In­crease Diversity among individuals engaged in Health-Related Research (PRIDE), which aim to facilitate participants’ career devel­opment as independent investigators in heart, lung, blood, and sleep research.</p><p class="Pa5"><strong>Design and Setting: </strong>Junior faculty from groups underrepresented in the biomedical-research workforce attended two, 2-3 week, annual summer research-education programs at one of six sites. Programs provided didactic and/or laboratory courses, workshops to develop research, writing and career-development skills, as well as a mentoring component, with regular contact maintained via phone, email and webinar conferences. Between summer institutes, trainees participated in a short mid-year meeting and an annual scientific meeting. Participants were surveyed during and after SIPID/PRIDE to evaluate program compo­nents.</p><p class="Pa5"><strong>Participants: </strong>Junior faculty from under­represented populations across the United States and Puerto Rico participated in one of three SIPID (2007-2010) or six PRIDE programs (2011-2014).</p><p class="Pa5"><strong>Results: </strong>Of 204 SIPID/PRIDE participants, 68% were female; 67% African American and 27% Hispanic/Latino; at enrollment, 75% were assistant professors and 15% instructors, with most (96%) on non-tenure track. Fifty-eight percent had research doctorates (PhD, ScD) and 42% had medi­cal (MD, DO) degrees. Mentees’ feedback about the program indicated skills develop­ment (eg, manuscript and grant writing), access to networking, and mentoring were the most beneficial elements of SIPID and PRIDE programs. Grant awards shifted from primarily mentored research mechanisms to primarily independent investigator awards after training.</p><p class="Pa7"><strong> Conclusions: </strong>Mentees reported their career development benefited from SIPID and PRIDE participation.</p><p class="Pa7"><em>Ethn Dis. </em>2017;27(3):249-256; doi:10.18865/ed.27.3.249</p>

scholarly journals Junior Faculty Career Development Through an NHLBI Program to Increase Diversity in Cardiovascular Health-Related Research

2016 ◽  
Vol 67 (19) ◽  
pp. 2312-2313 ◽  
Author(s):  
Frank Fabris ◽  
Treva K. Rice ◽  
Donna B. Jeffe ◽  
Susan M. Czajkowski ◽  
Josephine Boyington ◽  
...  
Keyword(s):  
Career Development ◽  
Cardiovascular Health ◽  
Junior Faculty ◽  
Related Research ◽  
Health Related Research ◽  
Health Related

scholarly journals A survey of U.S. public perspectives on facial recognition technology and facial imaging data practices in health and research contexts

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257923
Author(s):  
Sara H. Katsanis ◽  
Peter Claes ◽  
Megan Doerr ◽  
Robert Cook-Deegan ◽  
Jessica D. Tenenbaum ◽  
...  
Keyword(s):  
Medical Records ◽  
Facial Recognition ◽  
The United States ◽  
Related Research ◽  
Data Practices ◽  
Opt Out ◽  
Health Related Research ◽  
Health Related ◽  
Facial Images ◽  
Precision Health

Facial imaging and facial recognition technologies, now common in our daily lives, also are increasingly incorporated into health care processes, enabling touch-free appointment check-in, matching patients accurately, and assisting with the diagnosis of certain medical conditions. The use, sharing, and storage of facial data is expected to expand in coming years, yet little is documented about the perspectives of patients and participants regarding these uses. We developed a pair of surveys to gather public perspectives on uses of facial images and facial recognition technologies in healthcare and in health-related research in the United States. We used Qualtrics Panels to collect responses from general public respondents using two complementary and overlapping survey instruments; one focused on six types of biometrics (including facial images and DNA) and their uses in a wide range of societal contexts (including healthcare and research) and the other focused on facial imaging, facial recognition technology, and related data practices in health and research contexts specifically. We collected responses from a diverse group of 4,048 adults in the United States (2,038 and 2,010, from each survey respectively). A majority of respondents (55.5%) indicated they were equally worried about the privacy of medical records, DNA, and facial images collected for precision health research. A vignette was used to gauge willingness to participate in a hypothetical precision health study, with respondents split as willing to (39.6%), unwilling to (30.1%), and unsure about (30.3%) participating. Nearly one-quarter of respondents (24.8%) reported they would prefer to opt out of the DNA component of a study, and 22.0% reported they would prefer to opt out of both the DNA and facial imaging component of the study. Few indicated willingness to pay a fee to opt-out of the collection of their research data. Finally, respondents were offered options for ideal governance design of their data, as “open science”; “gated science”; and “closed science.” No option elicited a majority response. Our findings indicate that while a majority of research participants might be comfortable with facial images and facial recognition technologies in healthcare and health-related research, a significant fraction expressed concern for the privacy of their own face-based data, similar to the privacy concerns of DNA data and medical records. A nuanced approach to uses of face-based data in healthcare and health-related research is needed, taking into consideration storage protection plans and the contexts of use.

scholarly journals Development and Evaluation of Two Abbreviated Questionnaires for Mentoring and Research Self-Efficacy

2017 ◽  
Vol 27 (2) ◽  
pp. 179 ◽  
Author(s):  
Donna B. Jeffe ◽  
Treva K. Rice ◽  
Josephine E.A. Boyington ◽  
Dabeeru C. Rao ◽  
Girardin Jean-Louis ◽  
...  
Keyword(s):  
Self Efficacy ◽  
Repeated Measures ◽  
Junior Faculty ◽  
Analysis Of Covariance ◽  
Design Data ◽  
Research Education ◽  
Blood Institute ◽  
National Heart Lung ◽  
Health Related Research ◽  
Health Related

<ins cite="mailto:Author"><p class="Pa7"><strong>Objectives: </strong>To reduce respondent burden for future evaluations of the National Heart, Lung, and Blood Institute-supported Programs to Increase Diversity Among Indi­viduals Engaged in Health-Related Research (PRIDE), a mentored-research education program, we sought to shorten the 33-item Ragins and McFarlin Mentor Role Instru­ment (RMMRI), measuring mentor-role ap­praisals, and the 69-item Clinical Research Appraisal Inventory (CRAI), measuring research self-efficacy.</p><p class="Default"><strong>Methods: </strong>Three nationally recruited, junior-faculty cohorts attended two, annual 2-3 week Summer Institutes (SI-1/SI-2: 2011/2012, 2012/2013, 2013/2014) at one of six PRIDE sites. Mentees completed the RMMRI two months after mentor assign­ment and the CRAI at baseline (pre-SI-1) and 6-month (mid-year) and 12-month (post-SI-2) follow-up. Publications data ob­tained from Scopus in October 2015 were verified with mentees’ curriculum vitae. The RMMRI and CRAI were shortened using an iterative process of principal-components analysis. The shortened measures were ex­amined in association with each other (mul­tiple linear regression) and with increase in publications (repeated-measures analysis of covariance).</p><p class="Pa7"><strong>Results: </strong>PRIDE enrolled 152 mentees (70% women; 60% Black, 35% Hispanic/Latino). Cronbach’s alphas for the new 9-item RMMRI, 19-item CRAI, and four CRAI-19 subscales were excellent. Controlling for baseline self-efficacy and cohort, RMMRI-9 scores were independently, positively associated with post-SI-2 scores on the CRAI-19 and three subscales (writing, study design/data analysis, and collaboration/grant preparation). Controlling for cohort, higher RMMRI-9 and post-SI-2 CRAI-19 scores were each associated with greater increase in publications.</p><p class="Pa7"><strong>Conclusions: </strong>The RMMRI-9 and CRAI- 19 retained the excellent psychometric properties of the longer measures. Find­ings support use of the shortened mea­sures in future evaluations of PRIDE. <em>Ethn Dis. </em>2017;27(2):179-188; doi:10.18865/ed.27.2.179.</p></ins>

scholarly journals Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature

2021 ◽  
Vol 9 ◽  
Author(s):  
Andy Wai Kan Yeung ◽  
Maria Kletecka-Pulker ◽  
Fabian Eibensteiner ◽  
Petra Plunger ◽  
Sabine Völkl-Kernstock ◽  
...  
Keyword(s):  
Social Media ◽  
Professional Education ◽  
Scientific Literature ◽  
Well Being ◽  
The United States ◽  
Quantitative Information ◽  
Related Research ◽  
Health Related Research ◽  
Versatile Tool ◽  
Health Related

Background: Twitter, representing a big social media network, is broadly used for the communication of health-related information. In this work, we aimed to identify and analyze the scientific literature on Twitter use in context of health by utilizing a bibliometric approach, in order to obtain quantitative information on dominant research topics, trending themes, key publications, scientific institutions, and prolific researchers who contributed to this scientific area.Methods: Web of Science electronic database was searched to identify relevant papers on Twitter and health. Basic bibliographic data was obtained utilizing the “Analyze” function of the database. Full records and cited references were exported to VOSviewer, a dedicated bibliometric software, for further analysis. A term map and a keyword map were synthesized to visualize recurring words within titles, abstracts and keywords.Results: The analysis was based on the data from 2,582 papers. The first papers were published in 2009, and the publication count increased rapidly since 2015. Original articles and reviews were published in a ratio of 10.6:1. The Journal of Medical Internet Research was the top journal, and the United States had contributions to over half (52%) of these publications, being the home-country of eight of the top ten most productive institutions. Keyword analysis identified six topically defined clusters, with professional education in healthcare being the top theme cluster (consisting of 66 keywords). The identified papers often investigated Twitter together with other social media, such as YouTube and Facebook.Conclusions: A great diversity of themes was found in the identified papers, including: professional education in healthcare, big data and sentiment analysis, social marketing and substance use, physical and emotional well-being of young adults, and public health and health communication. Our quantitative analysis outlines Twitter as both, an increasingly popular data source, and a highly versatile tool for health-related research.

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