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  1. Book ; Online: Viral Networks: Connecting Digital Humanities and Medical History

    Porter, Nathaniel D. / Phillips, Christopher J. / Archambeau, Nicole / Cottle, Katherine / Ruis, A. R. / DiMeo, Michelle / Engelmann, Lukas / Sorrels, Katherine / Smith, Kylie / Runcie, Sarah / Reznick, Jeffrey S. / Randall, Katherine / Ewing, Thomas E.

    2018  

    Abstract: This volume of original essays explores the power of network thinking and analysis for humanities research. Contributing authors are all scholars whose research focuses on a medical history topic-from the Black Death in fourteenth-century Provence to ... ...

    Abstract This volume of original essays explores the power of network thinking and analysis for humanities research. Contributing authors are all scholars whose research focuses on a medical history topic-from the Black Death in fourteenth-century Provence to psychiatric hospitals in twentieth-century Alabama. The chapters take readers through a variety of situations in which scholars must determine if network analysis is right for their research; and, if the answer is yes, what the possibilities are for implementation. Along the way, readers will find practical tips on identifying an appropriate network to analyze, finding the best way to apply network analysis, and choosing the right tools for data visualization. All the chapters in this volume grew out of the 2018 Viral Networks workshop, hosted by the History of Medicine Division of the National Library of Medicine (NIH), funded by the Office of Digital Humanities of the National Endowment for the Humanities, and organized by Virginia Tech
    Keywords Computer applications to medicine. Medical informatics
    Size 1 electronic resource (284 pages)
    Publisher Virginia Tech Publishing
    Document type Book ; Online
    Note english ; Open Access
    HBZ-ID HT020395039
    ISBN 9781949373028 ; 9781949373004 ; 9781949373066 ; 9781949373011 ; 1949373029 ; 1949373002 ; 1949373061 ; 1949373010
    DOI https://doi.org/10.21061/viral-networks
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Relationships, race/ethnicity, gender, age, and living kidney donation evaluation willingness.

    Daw, Jonathan / Roberts, Mary K / Salim, Zarmeen / Porter, Nathaniel D / Verdery, Ashton M / Ortiz, Selena E

    Transplant immunology

    2024  Volume 83, Page(s) 101980

    Abstract: Racial/ethnic and gender disparities in living donor kidney transplantation are large and persistent but incompletely explained. One previously unexplored potential contributor to these disparities is differential willingness to donate to recipients in ... ...

    Abstract Racial/ethnic and gender disparities in living donor kidney transplantation are large and persistent but incompletely explained. One previously unexplored potential contributor to these disparities is differential willingness to donate to recipients in specific relationships such as children, parents, and friends. We collected and analyzed data from an online sample featuring an experimental vignette in which respondents were asked to rate their willingness to donate to a randomly chosen member of their family or social network. Results show very large differences in respondents' willingness to donate to recipients with different relationships to them, favoring children, spouses/partners, siblings, and parents, and disfavoring friends, aunts/uncles, and coworkers. Evidence suggesting an interactive effect between relationship, respondent race/ethnicity, respondent or recipient gender, was limited to a few cases. At the p < 0.05 level, the parent-recipient gender interaction was statistically significant, favoring mothers over fathers, as was other/multiracial respondents' greater willingness to donate to friends compared to Whites. Additionally, other interactions were significant at the p < 0.10 level, such as Hispanics' and women's higher willingness to donate to parents compared to Whites and men respectively, women's lower willingness to donate to friends compared to men, and Blacks' greater willingness to donate to coworkers than Whites. We also examined differences by age and found that older respondents were less willing to donate to recipients other than their parents. Together these results suggest that differential willingness to donate by relationship group may be a moderately important factor in understanding racial/ethnic and gender disparities in living donor kidney transplantation.
    MeSH term(s) Child ; Female ; Humans ; Male ; Ethnicity ; Kidney ; Living Donors ; Tissue and Organ Procurement ; White People ; Black or African American ; Hispanic or Latino
    Language English
    Publishing date 2024-01-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1160846-8
    ISSN 1878-5492 ; 0966-3274
    ISSN (online) 1878-5492
    ISSN 0966-3274
    DOI 10.1016/j.trim.2023.101980
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3784: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Enhancing big data in the social sciences with crowdsourcing: Data augmentation practices, techniques, and opportunities.

    Porter, Nathaniel D / Verdery, Ashton M / Gaddis, S Michael

    PloS one

    2020  Volume 15, Issue 6, Page(s) e0233154

    Abstract: Proponents of big data claim it will fuel a social research revolution, but skeptics challenge its reliability and decontextualization. The largest subset of big data is not designed for social research. Data augmentation-systematic assessment of ... ...

    Abstract Proponents of big data claim it will fuel a social research revolution, but skeptics challenge its reliability and decontextualization. The largest subset of big data is not designed for social research. Data augmentation-systematic assessment of measurement against known quantities and expansion of extant data with new information-is an important tool to maximize such data's validity and research value. Using trained research assistants or specialized algorithms are common approaches to augmentation but may not scale to big data or appease skeptics. We consider a third alternative: data augmentation with online crowdsourcing. Three empirical cases illustrate strengths and limitations of crowdsourcing, using Amazon Mechanical Turk to verify automated coding, link online databases, and gather data on online resources. Using these, we develop best practice guidelines and a reporting template to enhance reproducibility. Carefully designed, correctly applied, and rigorously documented crowdsourcing help address concerns about big data's usefulness for social research.
    MeSH term(s) Big Data ; Crowdsourcing/methods ; Data Collection/methods ; Humans ; Reproducibility of Results ; Social Sciences/methods ; Social Sciences/trends
    Language English
    Publishing date 2020-06-10
    Publishing country United States
    Document type Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0233154
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Social network interventions to reduce race disparities in living kidney donation: Design and rationale of the friends and family of kidney transplant patients study (FFKTPS).

    Daw, Jonathan / Verdery, Ashton M / Ortiz, Selena E / Reed, Rhiannon Deierhoi / Locke, Jayme E / Redfield, Robert R / Kloda, David / Liu, Michel / Mentch, Heather / Sawinski, Deirdre / Aguilar, Diego / Porter, Nathaniel D / Roberts, Mary K / McIntyre, Katie / Reese, Peter P

    Clinical transplantation

    2023  Volume 37, Issue 10, Page(s) e15064

    Abstract: Introduction: Racial/ethnic disparities in living donor kidney transplantation (LDKT) are a persistent challenge. Although nearly all directed donations are from members of patients' social networks, little is known about which social network members ... ...

    Abstract Introduction: Racial/ethnic disparities in living donor kidney transplantation (LDKT) are a persistent challenge. Although nearly all directed donations are from members of patients' social networks, little is known about which social network members take steps toward living kidney donation, which do not, and what mechanisms contribute to racial/ethnic LDKT disparities.
    Methods: We describe the design and rationale of the Friends and Family of Kidney Transplant Patients Study, a factorial experimental fielding two interventions designed to promote LKD discussions. Participants are kidney transplant candidates at two centers who are interviewed and delivered an intervention by trained center research coordinators. The search intervention advises patients on which social network members are most likely to be LKD contraindication-free; the script intervention advises patients on how to initiate effective LKD discussions. Participants are randomized into four conditions: no intervention, search only, script only, or both search and script. Patients also complete a survey and optionally provide social network member contact information so they can be surveyed directly. This study will seek to enroll 200 transplant candidates. The primary outcome is LDKT receipt. Secondary outcomes include live donor screening and medical evaluations and outcomes. Tertiary outcomes include LDKT self-efficacy, concerns, knowledge, and willingness, measured before and after the interventions.
    Conclusion: This study will assess the effectiveness of two interventions to promote LKD and ameliorate Black-White disparities. It will also collect unprecedented information on transplant candidates' social network members, enabling future work to address network member structural barriers to LKD.
    MeSH term(s) Humans ; Kidney Transplantation ; Friends ; Kidney ; Tissue and Organ Harvesting ; Kidney Failure, Chronic ; Living Donors
    Language English
    Publishing date 2023-07-03
    Publishing country Denmark
    Document type Randomized Controlled Trial ; Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 639001-8
    ISSN 1399-0012 ; 0902-0063
    ISSN (online) 1399-0012
    ISSN 0902-0063
    DOI 10.1111/ctr.15064
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2204: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Development and Feasibility of an Online Brief Emotion Regulation Training (BERT) Program for Emerging Adults.

    Gatto, Alyssa Jo / Elliott, Truitt J / Briganti, Jonathan S / Stamper, Michael J / Porter, Nathaniel D / Brown, Anne M / Harden, Samantha M / Cooper, Lee D / Dunsmore, Julie C

    Frontiers in public health

    2022  Volume 10, Page(s) 858370

    Abstract: Mental wellness is a critical component of healthy development in emerging adulthood and serves to protect against stress and promote resilience against psychopathology. Emotion regulation is a key mechanism for effective prevention because of its role ... ...

    Abstract Mental wellness is a critical component of healthy development in emerging adulthood and serves to protect against stress and promote resilience against psychopathology. Emotion regulation is a key mechanism for effective prevention because of its role in socio-emotional competence and its transdiagnostic significance for psychopathology. In this feasibility study, a brief, time and cost-effective emotion regulation training program for emerging adults (BERT) was developed and tested using the RE-AIM framework. Importantly, building interventions within the context of an implementation framework, such as the RE-AIM framework, enhances the chances that an intervention will be able to scale out and scale up. First, the brainwriting premortem method was utilized to refine program content, conducting focus groups a priori to identify potential program failures prior to program implementation. Undergraduate students (
    MeSH term(s) Adult ; Emotional Regulation ; Feasibility Studies ; Humans ; Mental Health ; Students ; Universities
    Language English
    Publishing date 2022-06-10
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2022.858370
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Enhancing Big Data in the Social Sciences with Crowdsourcing

    Porter, Nathaniel D. / Verdery, Ashton M. / Gaddis, S. Michael

    Data Augmentation Practices, Techniques, and Opportunities

    2016  

    Abstract: The importance of big data is a contested topic among social scientists. Proponents claim it will fuel a research revolution, but skeptics challenge it as unreliably measured and decontextualized, with limited utility for accurately answering social ... ...

    Abstract The importance of big data is a contested topic among social scientists. Proponents claim it will fuel a research revolution, but skeptics challenge it as unreliably measured and decontextualized, with limited utility for accurately answering social science research questions. We argue that social scientists need effective tools to quantify big data's measurement error and expand the contextual information associated with it. Standard research efforts in many fields already pursue these goals through data augmentation, the systematic assessment of measurement against known quantities and expansion of extant data by adding new information. Traditionally, these tasks are accomplished using trained research assistants or specialized algorithms. However, such approaches may not be scalable to big data or appease its skeptics. We consider a third alternative that may increase the validity and value of big data: data augmentation with online crowdsourcing. We present three empirical cases to illustrate the strengths and limits of crowdsourcing for academic research, with a particular eye to how they can be applied to data augmentation tasks that will accelerate acceptance of big data among social scientists. The cases use Amazon Mechanical Turk to 1. verify automated coding of the academic discipline of dissertation committee members, 2. link online product pages to a book database, and 3. gather data on mental health resources at colleges. In light of these cases, we consider the costs and benefits of augmenting big data with crowdsourcing marketplaces and provide guidelines on best practices. We also offer a standardized reporting template that will enhance reproducibility.

    Comment: 32 pages, 3 tables, 4 figures
    Keywords Computer Science - Computers and Society
    Subject code 020
    Publishing date 2016-09-27
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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