Browsing by Author "Hunt, Joe D."

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    184 Cross-institutional collaborations for health equity research at a CTSA
    (Cambridge University Press, 2022-04-19) Whipple, Elizabeth C.; Ramirez, Mirian; Dolan, Levi; Hunt, Joe D.; Ruth Lilly Medical Library, School of Medicine
    OBJECTIVES/GOALS: We were interested in health equity research for each CTSA-affiliated institution, specifically focusing on cross department and cross-campus co-authorship. We conducted a bibliometric analysis of our CTSA-funded papers relating to diversity and inclusion to identify cross department and cross-campus collaborations. METHODS/STUDY POPULATION: We worked with our CTSAs Racial Justice, Diversity, Equity and Inclusion Task Force to conduct an environmental scan of diversity and inclusion research across our CTSA partner institutions. Using the Scopus database, searches were constructed to identify and retrieve the variety of affiliations for each of the CTSA authors, a health equity/health disparities search hedge, and all of our CTSA grant numbers. We limited the dates from the beginning of our CTSA in 2008-November 2021. We used PubMed to retrieve all MeSH terms for the articles. We used Excel to analyze the data, Python and NCBIs Entrez Programming Utilities to analyze MeSH terms, and VOSviewer to produce the visualizations. RESULTS/ANTICIPATED RESULTS: The results of this search yielded 94 articles overall. We broke these up into subsets (not mutually exclusive) to represent five of the researcher groups across our CTSA. We analyzed the overall dataset for citation count, normalized citation count, CTSA average authors, gender trends, and co-term analysis. We also developed cross department co-authorship maps and cross-institutional/group co-authorship maps. DISCUSSION/SIGNIFICANCE: This poster will demonstrate both the current areas where cross-departmental and cross-institutional collaboration exists among our CTSA authors, as well as identify potential existing areas for collaboration to occur. These findings may determine areas our CTSA can support to improve institutional performance in addressing health equity.
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    Classifying publications from the clinical and translational science award program along the translational research spectrum: a machine learning approach
    (BioMed Central, 2016-08-05) Surkis, Alisa; Hogle, Janice A.; DiazGranados, Deborah; Hunt, Joe D.; Mazmanian, Paul E.; Connors, Emily; Westaby, Kate; Whipple, Elizabeth C.; Adamus, Trisha; Mueller, Meredith; Aphinyanaphongs, Yindalon; Ruth Lilly Medical Library, IU School of Medicine
    BACKGROUND: Translational research is a key area of focus of the National Institutes of Health (NIH), as demonstrated by the substantial investment in the Clinical and Translational Science Award (CTSA) program. The goal of the CTSA program is to accelerate the translation of discoveries from the bench to the bedside and into communities. Different classification systems have been used to capture the spectrum of basic to clinical to population health research, with substantial differences in the number of categories and their definitions. Evaluation of the effectiveness of the CTSA program and of translational research in general is hampered by the lack of rigor in these definitions and their application. This study adds rigor to the classification process by creating a checklist to evaluate publications across the translational spectrum and operationalizes these classifications by building machine learning-based text classifiers to categorize these publications. METHODS: Based on collaboratively developed definitions, we created a detailed checklist for categories along the translational spectrum from T0 to T4. We applied the checklist to CTSA-linked publications to construct a set of coded publications for use in training machine learning-based text classifiers to classify publications within these categories. The training sets combined T1/T2 and T3/T4 categories due to low frequency of these publication types compared to the frequency of T0 publications. We then compared classifier performance across different algorithms and feature sets and applied the classifiers to all publications in PubMed indexed to CTSA grants. To validate the algorithm, we manually classified the articles with the top 100 scores from each classifier. RESULTS: The definitions and checklist facilitated classification and resulted in good inter-rater reliability for coding publications for the training set. Very good performance was achieved for the classifiers as represented by the area under the receiver operating curves (AUC), with an AUC of 0.94 for the T0 classifier, 0.84 for T1/T2, and 0.92 for T3/T4. CONCLUSIONS: The combination of definitions agreed upon by five CTSA hubs, a checklist that facilitates more uniform definition interpretation, and algorithms that perform well in classifying publications along the translational spectrum provide a basis for establishing and applying uniform definitions of translational research categories. The classification algorithms allow publication analyses that would not be feasible with manual classification, such as assessing the distribution and trends of publications across the CTSA network and comparing the categories of publications and their citations to assess knowledge transfer across the translational research spectrum.
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    Cross-institutional collaborations for health equity research at a CTSA
    (2022-04-20) Whipple, Elizabeth C.; Ramirez, Mirian; Dolan, Levi; Hunt, Joe D.
    Objective/Goals: We were interested in health equity research for each CTSA-affiliated institution, specifically focusing on cross department and cross-campus co-authorship. We conducted a bibliometric analysis of our CTSA-funded papers relating to diversity and inclusion to identify cross department and cross-campus collaborations. Methods/Study Population: We worked with our CTSA’s Racial Justice, Diversity, Equity and Inclusion Task Force to conduct an environmental scan of diversity and inclusion research across our CTSA partner institutions. Using the Scopus database, searches were constructed to identify and retrieve the variety of affiliations for each of the CTSA authors, a health equity/health disparities search hedge, and all of our CTSA grant numbers. We limited the dates from the beginning of our CTSA in 2008-November 2021. We used PubMed to retrieve all MeSH terms for the articles. We used Excel to analyze the data, Python and NCBI’s Entrez Programming Utilities to analyze MeSH terms, and VOSviewer to produce the visualizations. Results/Anticipated Results: The results of this search yielded 94 articles overall. We broke these up into subsets (not mutually exclusive) to represent five of the researcher groups across our CTSA. We analyzed the overall dataset for citation count, normalized citation count, CTSA average authors, gender trends, and co-term analysis. We also developed cross department co-authorship maps and cross-institutional/group co-authorship maps. Discussion/Significance of Impact: This poster will demonstrate both the current areas where cross-departmental and cross-institutional collaboration exists among our CTSA authors, as well as identify potential existing areas for collaboration to occur. These findings may determine areas our CTSA can support to improve institutional performance in addressing health equity.
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    Project development teams: a novel mechanism for accelerating translational research
    (Wolters Kluwer, 2015-01) Sajdyk, Tammy J.; Sors, Thomas G.; Hunt, Joe D.; Murray, Mary E.; Deford, Melanie E.; Shekhar, Anantha; Denne, Scott C.; Department of Pediatrics, IU School of Medicine
    The trend in conducting successful biomedical research is shifting from individual academic labs to coordinated collaborative research teams. Teams of experienced investigators with a wide variety of expertise are now critical for developing and maintaining a successful, productive research program. However, assembling a team whose members have the right expertise requires a great deal of time and many resources. To assist investigators seeking such resources, the Indiana Clinical and Translational Sciences Institute (Indiana CTSI) created the Project Development Teams (PDTs) program to support translational research on and across the Indiana University-Purdue University Indianapolis, Indiana University, Purdue University, and University of Notre Dame campuses. PDTs are multidisciplinary committees of seasoned researchers who assist investigators, at any stage of research, in transforming ideas/hypotheses into well-designed translational research projects. The teams help investigators capitalize on Indiana CTSI resources by providing investigators with, as needed, mentoring and career development; protocol development; pilot funding; institutional review board, regulatory, and/or nursing support; intellectual property support; access to institutional technology; and assistance with biostatistics, bioethics, recruiting participants, data mining, engaging community health, and collaborating with other investigators.Indiana CTSI leaders have analyzed metrics, collected since the inception of the PDT program in 2008 from both investigators and team members, and found evidence strongly suggesting that the highly responsive teams have become an important one-stop venue for facilitating productive interactions between basic and clinical scientists across four campuses, have aided in advancing the careers of junior faculty, and have helped investigators successfully obtain external funds.
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    Use of social network analysis tools to validate a resources infrastructure for interinstitutional translational research: a case study
    (http://www-ncbi-nlm-nih-gov.proxy.medlib.iupui.edu/pmc/articles/PMC3257477/, 2012-01) Hunt, Joe D.; Whipple, Elizabeth C.; McGowan, Julie J.
    QUESTION: How can knowledge management and innovative technology, cornerstones of library practice, be leveraged to validate the progress of Clinical and Translational Science Awards? SETTING: The Indiana Clinical and Translational Sciences Institute (Indiana CTSI) promotes interdisciplinary research across academic institutions. METHODS: Using social networking tools and knowledge management skills enabled the department of knowledge informatics and translation to create a visualization of utilization of resources across different Indiana CTSI programs and coauthorship and citation patterns. RESULTS: Contacts with different resources per investigator increased; every targeted program was shown to be linked to another. Analysis of publications established a baseline to further analyze the scientific contribution of Indiana CTSI projects. CONCLUSION: Knowledge management and social networking utilities validated the efficacy of the Indiana CTSI resources infrastructure and demonstrated visualization of collaboration. The bibliometric analysis of publications provides a basis for assessing longer-term contributions of support to scientific discovery and transdisciplinary science.
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    Utilizing a reviewer database to facilitate integration of an investigator-focused translational research and career development program across the state of Indiana
    (Cambridge University Press, 2018-06) Coffee, R. L., Jr.; Driscol, Julie; Saydyk, Tammy J.; Shekhar, Anantha; Denne, Scott C.; Hunt, Joe D.; Medicine, School of Medicine
    OBJECTIVES/SPECIFIC AIMS: The Indiana CTSI is investigating innovative approaches to integrate resources that will enrich scientific investigators. Our goals are to enhance the availability and communication among CTSI resources, for example internal funding, and to expand existing mentorship. METHODS/STUDY POPULATION: Developed a reviewer database that serves to streamline reviewer identification, decrease reviewer fatigue, and promote collaboration among disciplines. We started with a pool of NIH-funded investigators from across the Indiana CTSI core institutions and merged this list with previous CTSI reviewers and internal funding awardees. To expand this list, names and expertise from new faculty hires were added. RESULTS/ANTICIPATED RESULTS: Though this tool is relatively new, we have already observed an increase in junior faculty awareness and engagement with the CTSI. This database allows for increased opportunities of junior faculty to serve as reviewers and to refine grant writing skills and provides a platform for networking and collaborating across disciplines. It also allows for increased integration of programs with a shared reviewer database and promotes grant review standardization. DISCUSSION/SIGNIFICANCE OF IMPACT: Our database utilization seeks to decrease the time for junior faculty to obtain their first extramural grant, to enhance promotion and tenure packages, strengthen integration among CTSI programs, increase interactions between clinical and basic science investigators, and promote team science.