Browsing by Subject "Cooperative behavior"

Now showing 1 - 4 of 4
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    Benchmarks for ethically credible partnerships between industry and academic health centers: beyond disclosure of financial conflicts of interest
    (Springer (Biomed Central Ltd.), 2015-12) Meslin, Eric M.; Rager, Joshua B.; Schwartz, Peter H.; Quaid, Kimberly A.; Gaffney, Margaret M.; Duke, Jon; Tierney, William H.; Department of Philosophy, IU School of Liberal Arts
    Relationships between industry and university-based researchers have been commonplace for decades and have received notable attention concerning the conflicts of interest these relationships may harbor. While new efforts are being made to update conflict of interest policies and make industry relationships with academia more transparent, the development of broader institutional partnerships between industry and academic health centers challenges the efficacy of current policy to effectively manage these innovative partnerships. In this paper, we argue that existing strategies to reduce conflicts of interest are not sufficient to address the emerging models of industry-academic partnerships because they focus too narrowly on financial matters and are not comprehensive enough to mitigate all ethical risk. Moreover, conflict-of-interest strategies are not designed to promote best practices nor the scientific and social benefits of academic-industry collaboration. We propose a framework of principles and benchmarks for "ethically credible partnerships" between industry and academic health centers and describe how this framework may provide a practical and comprehensive approach for designing and evaluating such partnerships.
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    Best Practices for Health Informatician Involvement in Interprofessional Health Care Teams
    (Thieme, 2018-01) Holden, Richard J.; Binkheder, Samar; Patel, Jay; Viernes, Sara Helene P.; BioHealth Informatics, School of Informatics and Computing
    Academic and nonacademic health informatics (HI) professionals (informaticians) serve on interprofessional health care teams with other professionals, such as physicians, nurses, pharmacists, dentists, and nutritionists. Presently, we argue for investing greater attention to the role health informaticians play on interprofessional teams and the best practices to support this role.
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    Capsule Commentary on Meredith et al., Impact of Collaborative Care for Underserved Patients with PTSD in Primary Care: A Randomized Controlled Trial
    (Springer, 2016-05) Kroenke, Kurt; Department of Medicine, IU School of Medicine
    Comment on Impact of Collaborative Care for Underserved Patients with PTSD in Primary Care: a Randomized Controlled Trial. [J Gen Intern Med. 2016]
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    Protocol for a collaborative meta-analysis of 5-HTTLPR, stress, and depression
    (Springer Nature, 2013-11-12) Culverhouse, Robert C.; Bowes, Lucy; Breslau, Naomi; Nurnberger, John I., Jr.; Burmeister, Margit; Fergusson, David M.; Munafò, Marcus; Saccone, Nancy L.; Bierut, Laura J.; 5-HTTLPR, Stress, and Depression Consortium; Psychiatry, School of Medicine
    Background: Debate is ongoing about what role, if any, variation in the serotonin transporter linked polymorphic region (5-HTTLPR) plays in depression. Some studies report an interaction between 5-HTTLPR variation and stressful life events affecting the risk for depression, others report a main effect of 5-HTTLPR variation on depression, while others find no evidence for either a main or interaction effect. Meta-analyses of multiple studies have also reached differing conclusions. Methods/design: To improve understanding of the combined roles of 5-HTTLPR variation and stress in the development of depression, we are conducting a meta-analysis of multiple independent datasets. This coordinated approach utilizes new analyses performed with centrally-developed, standardized scripts. This publication documents the protocol for this collaborative, consortium-based meta-analysis of 5-HTTLPR variation, stress, and depression. Study eligibility criteria: Our goal is to invite all datasets, published or unpublished, with 5-HTTLPR genotype and assessments of stress and depression for at least 300 subjects. This inclusive approach is to minimize potential impact from publication bias. Data sources: This project currently includes investigators from 35 independent groups, providing data on at least N = 33,761 participants.The analytic plan was determined prior to starting data analysis. Analyses of individual study datasets will be performed by the investigators who collected the data using centrally-developed standardized analysis scripts to ensure a consistent analytical approach across sites. The consortium as a group will review and interpret the meta-analysis results. Discussion: Variation in 5-HTTLPR is hypothesized to moderate the response to stress on depression. To test specific hypotheses about the role of 5-HTTLPR variation on depression, we will perform coordinated meta-analyses of de novo results obtained from all available data, using variables and analyses determined a priori. Primary analyses, based on the original 2003 report by Caspi and colleagues of a GxE interaction will be supplemented by secondary analyses to help interpret and clarify issues ranging from the mechanism of effect to heterogeneity among the contributing studies. Publication of this protocol serves to protect this project from biased reporting and to improve the ability of readers to interpret the results of this specific meta-analysis upon its completion.