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1.
J Clin Transl Sci ; 7(1): e104, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37250985

RESUMO

Introduction: Clinical trials are a vital component of translational science, providing crucial information on the efficacy and safety of new interventions and forming the basis for regulatory approval and/or clinical adoption. At the same time, they are complex to design, conduct, monitor, and report successfully. Concerns over the last two decades about the quality of the design and the lack of completion and reporting of clinical trials, characterized as a lack of "informativeness," highlighted by the experience during the COVID-19 pandemic, have led to several initiatives to address the serious shortcomings of the United States clinical research enterprise. Methods and Results: Against this background, we detail the policies, procedures, and programs that we have developed in The Rockefeller University Center for Clinical and Translational Science (CCTS), supported by a Clinical and Translational Science Award (CTSA) program grant since 2006, to support the development, conduct, and reporting of informative clinical studies. Conclusions: We have focused on building a data-driven infrastructure to both assist individual investigators and bring translational science to each element of the clinical investigation process, with the goal of both generating new knowledge and accelerating the uptake of that knowledge into practice.

2.
J Clin Transl Sci ; 5(1): e165, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34733542

RESUMO

The ability to effectively lead an interdisciplinary translational team is a crucial component of team science success. Most KL2 Clinical Scholars have been members of scientific teams, but few have been team science leaders. There is a dearth of literature and outcome measures of effective Team Science Leadership in clinical and translational research. We focused our curriculum to emphasize Team Science Leadership, developed a list of Team Science Leadership competencies for translational investigators using a modified Delphi method, and incorporated the competencies into a quantitative evaluation survey. The survey is completed on entry and annually thereafter by the Scholar; the Scholar's primary mentor and senior staff who educate and interact with the Scholar rate the Scholar at the end of each year. The program leaders and mentor review the results with each Scholar. The survey scales had high internal consistency and good factor structure. Overall ratings by mentors and senior staff were generally high, but ratings by Scholars tended to be lower, offering opportunities for discussion and career planning. Scholars rated the process favorably. A Team Science Leadership curriculum and periodic survey of attained competencies can inform individual career development and guide team science curriculum development.

3.
J Clin Transl Sci ; 1(5): 285-291, 2017 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-29456873

RESUMO

INTRODUCTION AND METHODS: The Rockefeller Clinical Scholars (KL2) Program began in 1976 and transitioned into a 3-year Master's degree program in 2006 when Rockefeller joined the NIH Clinical and Translational Science Award (CTSA) program. The program consists of ~15 trainees supported by the CTSA KL2 award and University funds. It is designed to provide an optimal environment for junior translational investigators to develop team science and leadership skills by designing and performing a human subjects protocol under the supervision of a distinguished senior investigator mentor and a team of content expert educators. This is complemented by a tutorial focused on important translational skills. RESULTS: Since 2006, 40 Clinical Scholars have graduated from the programs and gone on to careers in academia (72%), government service (5%), industry (15%), and private medical practice (3%); two (5%) remain in training programs. 39/40 remain in translational research careers with 23 NIH awards totaling $23 million, foundation and philanthropic support of $20.3 million, and foreign government and foundation support of $6 million. They have made wide ranging scientific discoveries and have endeavored to translate those discoveries into improved human health. CONCLUSION: The Rockefeller Clinical Scholars (KL2) program provides one model for translational science training.

4.
Acad Med ; 92(3): 374-379, 2017 03.
Artigo em Inglês | MEDLINE | ID: mdl-27119330

RESUMO

PROBLEM: Engaging basic scientists in community-based translational research is challenging but has great potential for improving health. APPROACH: In 2009, The Rockefeller University Center for Clinical and Translational Science partnered with Clinical Directors Network, a practice-based research network (PBRN), to create a community-engaged research navigation (CEnR-Nav) program to foster research pairing basic science and community-driven scientific aims. The program is led by an academic navigator and a PBRN navigator. Through meetings and joint activities, the program facilitates basic science-community partnerships and the development and conduct of joint research protocols. OUTCOMES: From 2009-2014, 39 investigators pursued 44 preliminary projects through the CEnR-Nav program; 25 of those became 23 approved protocols and 2 substudies. They involved clinical scholar trainees, early-career physician-scientists, faculty, students, postdoctoral fellows, and others. Nineteen (of 25; 76%) identified community partners, of which 9 (47%) named them as coinvestigators. Nine (of 25; 36%) included T3-T4 translational aims. Seven (of 25; 28%) secured external funding, 11 (of 25; 44%) disseminated results through presentations or publications, and 5 (71%) of 7 projects publishing results included a community partner as a coauthor. Of projects with long-term navigator participation, 9 (of 19; 47%) incorporated T3-T4 aims and 7 (of 19; 37%) secured external funding. NEXT STEPS: The CEnR-Nav program provides a model for successfully engaging basic scientists with communities to advance and accelerate translational science. This model's durability and generalizability have not been determined, but it achieves valuable short-term goals and facilitates scientifically meaningful community-academic partnerships.


Assuntos
Pesquisa Participativa Baseada na Comunidade/organização & administração , Relações Comunidade-Instituição , Pesquisa Translacional Biomédica/organização & administração , Humanos , New York , Universidades
5.
Clin Transl Sci ; 7(2): 100-7, 2014 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-24456567

RESUMO

The 61 CTSA Consortium sites are home to valuable programs and infrastructure supporting translational science and all are charged with ensuring that such investments translate quickly to improved clinical care. Catalog of Assets for Translational and Clinical Health Research (CATCHR) is the Consortium's effort to collect and make available information on programs and resources to maximize efficiency and facilitate collaborations. By capturing information on a broad range of assets supporting the entire clinical and translational research spectrum, CATCHR aims to provide the necessary infrastructure and processes to establish and maintain an open-access, searchable database of consortium resources to support multisite clinical and translational research studies. Data are collected using rigorous, defined methods, with the resulting information made visible through an integrated, searchable Web-based tool. Additional easy-to-use Web tools assist resource owners in validating and updating resource information over time. In this paper, we discuss the design and scope of the project, data collection methods, current results, and future plans for development and sustainability. With increasing pressure on research programs to avoid redundancy, CATCHR aims to make available information on programs and core facilities to maximize efficient use of resources.


Assuntos
Catálogos como Assunto , Comportamento Cooperativo , Pesquisa sobre Serviços de Saúde , Pesquisa Translacional Biomédica , Coleta de Dados , Ensaios de Triagem em Larga Escala , Humanos , Internet , Reprodutibilidade dos Testes , Interface Usuário-Computador
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