scholarly journals Intervening to enhance collaboration in translational research: A relational coordination approach

2017 ◽  
Vol 1 (4) ◽  
pp. 218-225 ◽  
Author(s):  
Jennifer Perloff ◽  
Alice Rushforth ◽  
Lisa C. Welch ◽  
Denise Daudelin ◽  
Anthony L. Suchman ◽  
...  
Keyword(s):  
Translational Research ◽  
Relational Coordination ◽  
Structural Interventions ◽  
Research Award ◽  
Mixed Methods Evaluation ◽  
Physician Engagement ◽  
Thinking Process ◽  
Functional Teams ◽  
Clinical And Translational Research

IntroductionA core challenge of a multidisciplinary and multi-organizational translational research enterprise such as a Clinical and Translational Research Award (CTSA) is coordinating and integrating the work of individuals, workgroups, and organizations accustomed to working independently and autonomously. Tufts Clinical and Translational Science Institute (CTSI) undertook and studied a multifacted intervention to address this challenge and to create a culture of systems thinking, process awareness, responsive to others' needs, and shared decision-making.InterventionThe intervention, based on relational coordination, included 1) relational interventions, in three staff retreats and a diagnostic survey to provide feedback on the current quality of relational coordination, and 2) structural interventions, in the launching of five new cross-functional teams with regular meeting structures.MethodsA mixed-methods evaluation yielded quantitative data via two types of team surveys and qualitative data via interviews and meeting observations.ResultsThe findings suggest that interventions to improve relational coordination are feasible for CTSAs, including good fidelity to the model and staff/physician engagement. Survey and interview data suggest model improvements in coordination and alignment. Further research about their optimal design is warranted.

scholarly journals 3345 Group Concept Mapping of Stakeholder’s Ideas to Increase the Quantity and Quality of Clinical and Translational Research in Rhode Island

2019 ◽  
Vol 3 (s1) ◽  
pp. 144-145
Author(s):  
Stephen Kogut ◽  
Jacquelyn Fede ◽  
Anthony Hayward ◽  
John Stevenson
Keyword(s):  
Translational Research ◽  
Concept Mapping ◽  
Rhode Island ◽  
Advisory Committees ◽  
Group Concept Mapping ◽  
Internal Support ◽  
Group Concept ◽  
Mapping Exercise ◽  
Clinical And Translational Research

OBJECTIVES/SPECIFIC AIMS: We sought to solicit and synthesize stakeholders’ ideas for how the Advance-CTR program can best increase the quality and quality of clinical and translational research in Rhode Island, and to apply these findings to address barriers and strengthen research capabilities across our partner institutions. METHODS/STUDY POPULATION: We utilized a Group Concept Mapping approach, involving university and Institution-based researchers and administrators. The process was conducted using the web-based concept mapping application CS Global Max (Concept Systems, Inc). Respondents were asked to provide their best ideas for promoting clinical and translational research in RI. These ideas were then organized by our project team into a set of unique items for consideration by attendees of an Advance-CTR retreat. Participants were tasked with sorting these ideas by theme (cluster), and were also asked to rate each idea according its importance and feasibility. Using the online software, these clusters and ratings were analyzed to identify key themes and to explore differences among sub-groups. RESULTS/ANTICIPATED RESULTS: The Group Concept Mapping exercise yielded 150 statements that were edited down to 78 unique ideas, and clustered into nine themes (e.g., institutional collaboration, training). Fifty-seven retreat participants completed the sorting and rating tasks of the concept mapping exercise. Overall, ideas rated as highly important and highly feasible included “providing seed grants to encourage new collaborations across basic science,” and “connecting researchers with common interests.” Top rated items varied across institutions and according to respondent demographics, allowing us to consider the unique issues relevant to particular groups. Relative rankings of clusters across groups revealed notable differences, such as higher importance placed on community engagement among administrators as compared with researchers, and differences in needs for internal support for research between universities. DISCUSSION/SIGNIFICANCE OF IMPACT: Group Concept Mapping was an effective and insightful participatory approach to engage our program’s stakeholders in developing ideas and identifying challenges to enhancing clinical and translational research in Rhode Island. Our results have implications for project decision-making and initiatives to facilitate translational research in RI. Thus, results have been presented to the Advance-CTR community via webinar, as well as Advance-CTR project leadership and advisory committees.

scholarly journals Clinical and Translational Research Challenges in Biliary Tract Cancers

2020 ◽  
Vol 27 (29) ◽  
pp. 4756-4777 ◽  
Author(s):  
Angela Lamarca ◽  
Melissa Frizziero ◽  
Mairéad G. McNamara ◽  
Juan W. Valle
Keyword(s):  
Quality Of Life ◽  
Translational Research ◽  
Biliary Tract ◽  
Basic Research ◽  
Life Assessment ◽  
Biliary Tract Cancers ◽  
Main Challenge ◽  
Number Of Patients ◽  
Clinical And Translational Research

Background: Biliary Tract Cancers (BTC) are rare malignancies with a poor prognosis. There are many challenges encountered in treating these patients in daily practice as well as in clinical, translational and basic research. Objective: This review summarises the most relevant challenges in clinical and translational research in BTCs and suggests potential solutions towards an improvement in quality of life and outcomes of patients diagnosed with such malignancies. Findings: The main challenge is the low number of patients with BTCs, complicated by the aggressive natural behaviour of cancer and the lack of funding sources for research. In addition, the clinical characteristics of these patients and the specific cancer-related complications challenge clinical research and clinical trial recruitment. It is worth highlighting that BTCs are a group of different malignancies (cholangiocarcinoma, gallbladder cancer and ampullary cancer) rather than a unique homogeneous disease. These subgroups differ not only in molecular aspects, but also in clinical and demographic characteristics. In addition, tailored imaging and quality of life assessment are required to tackle some of the issues specific to BTCs. Finally, difficulties in tissue acquisition both in terms of biopsy size and inclusion of sufficient tumour within the samples, may adversely impact translational and basic research. Conclusion: Increasing awareness among patients and clinicians regarding BTC and the need for further research and treatment development may address some of the main challenges in BTC research. International collaboration is mandatory to progress the field.

scholarly journals Participatory Needs Assessment and Action Planning for a Clinical and Translational Research Network

2020 ◽  
pp. 1-23
Author(s):  
LaKaija J. Johnson ◽  
Jolene Rohde ◽  
Mary E. Cramer ◽  
Lani Zimmerman ◽  
Carol R. Geary ◽  
...  
Keyword(s):  
Needs Assessment ◽  
Translational Research ◽  
Action Planning ◽  
Research Network ◽  
Clinical And Translational Research

scholarly journals Nutritional Quality of Undergraduate Student Meals in an All-You-Care-to-Eat Campus Dining Facility (P04-156-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Audrey Olson ◽  
Katie Vieyra ◽  
Alexandra Polasky ◽  
Amy Best ◽  
Lois Durant ◽  
...  
Keyword(s):  
Nutrition Education ◽  
Undergraduate Students ◽  
Nutritional Quality ◽  
Fruits And Vegetables ◽  
Saturated Fat ◽  
Whole Grains ◽  
Research Award ◽  
George Mason University ◽  
Reported Data

Abstract Objectives To assess the overall nutritional quality of meals chosen by undergraduate students during weekday lunches at campus all-you-care-to-eat dining halls. Methods A previously validated exit survey was used to collect self-reported data from undergraduate students on foods and beverages they consumed during a single visit to two all-you-care-to-eat dining halls on the George Mason University Fairfax campus, during 4 weeks. (n = 468) Nutritional quality of each meal was evaluated on a 7-point rubric, according to the ‘Wellness Meal’ standards from the Partnership for a Healthier America: ≤700 kilocalories, ≤10% calories from saturated fat, ≤800 mg sodium, ≥2 ounces whole grains, ≥1 cup lowfat dairy, ≥ 1.75 cups fruits and vegetables, and ≥ 2 ounces lean protein. Results Of the maximum score of 7 on the meal nutritional quality rubric, 4 participants earned the highest score of 5, whereas 43, 150, 132, 88, and 51 participants had scores of 4, 3, 2, 1, and 0, respectively. The most commonly attained rubric standard was saturated fat, where 60% of participants consumed ≤ 10% calories from saturated fat and average consumption was 9.1% (± 5.4%) of calories. The least achieved rubric category was lowfat dairy, where only 2% of students consumed 1 cup equivalent, followed by only 9% of participants having consumed the 2 ounce equivalent of whole grains. Approximately one-third of students met calorie, lean protein, sodium, and fruit/vegetable standards. Conclusions Despite a wide variety of food options in the campus all-you-care-to-eat dining halls during the lunch hours, most undergraduate students consumed meals of subpar nutritional quality, with the vast majority meeting fewer than half the categories on the meal nutritional quality rubric. All-you-care-to-eat university dining halls may be a prime location for nutrition education and interventions. Funding Sources This research was funded by the George Mason University Provost's Multidisciplinary Research Award.

scholarly journals Clinical and Translational Research and Community Engagement: Implications for Researcher Capacity Building

2012 ◽  
Vol 5 (4) ◽  
pp. 329-332 ◽  
Author(s):  
Linda Sprague Martinez ◽  
Beverley Russell ◽  
Carolyn Leung Rubin ◽  
Laurel K. Leslie ◽  
Doug Brugge
Keyword(s):  
Community Engagement ◽  
Translational Research ◽  
Capacity Building ◽  
Clinical And Translational Research

High-Quality Peer Review of Clinical and Translational Research

2021 ◽  
Vol 78 (15) ◽  
pp. 1564-1568
Author(s):  
Fred M. Kusumoto ◽  
John A. Bittl ◽  
Mark A. Creager ◽  
Harold L. Dauerman ◽  
Anuradha Lala ◽  
...  
Keyword(s):  
Translational Research ◽  
Peer Review ◽  
High Quality ◽  
Clinical And Translational Research

ARGO, Automatic Record Generator for Oncology: a natural language process-based tool to capture pathology features from onco-hematological reports (Preprint)

2021 ◽  
Author(s):  
Gian Maria Zaccaria ◽  
Vito Colella ◽  
Simona Colucci ◽  
Felice Clemente ◽  
Fabio Pavone ◽  
...  
Keyword(s):  
Natural Language ◽  
Translational Research ◽  
Language Processing ◽  
Character Recognition ◽  
Web Application ◽  
Optical Character Recognition ◽  
Anatomical Site ◽  
Cell Of Origin ◽  
Molecular Features ◽  
Clinical And Translational Research

BACKGROUND The unstructured nature of medical data from Real-World (RW) patients and the scarce accessibility for researchers to integrated systems restrain the use of RW information for clinical and translational research purposes. Natural Language Processing (NLP) might help in transposing unstructured reports in electronic health records (EHR), thus prompting their standardization and sharing. OBJECTIVE We aimed at designing a tool to capture pathological features directly from hemo-lymphopathology reports and automatically record them into electronic case report forms (eCRFs). METHODS We exploited Optical Character Recognition and NLP techniques to develop a web application, named ARGO (Automatic Record Generator for Oncology), that recognizes unstructured information from diagnostic paper-based reports of diffuse large B-cell lymphomas (DLBCL), follicular lymphomas (FL), and mantle cell lymphomas (MCL). ARGO was programmed to match data with standard diagnostic criteria of the National Institute of Health, automatically assign diagnosis and, via Application Programming Interface, populate specific eCRFs on the REDCap platform, according to the College of American Pathologists templates. A selection of 239 reports (n. 106 DLBCL, n.79 FL, and n. 54 MCL) from the Pathology Unit at the IRCCS - Istituto Tumori “Giovanni Paolo II” of Bari (Italy) was used to assess ARGO performance in terms of accuracy, precision, recall and F1-score. RESULTS By applying our workflow, we successfully converted 233 paper-based reports into corresponding eCRFs incorporating structured information about diagnosis, tissue of origin and anatomical site of the sample, major molecular markers and cell-of-origin subtype. Overall, ARGO showed high performance (nearly 90% of accuracy, precision, recall and F1-score) in capturing identification report number, biopsy date, specimen type, diagnosis, and additional molecular features. CONCLUSIONS We developed and validated an easy-to-use tool that converts RW paper-based diagnostic reports of major lymphoma subtypes into structured eCRFs. ARGO is cheap, feasible, and easily transferable into the daily practice to generate REDCap-based EHR for clinical and translational research purposes.

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