As part of their mission, Clinical and Translational Science Award (CTSA) hubs are charged with developing, testing, and disseminating evidence-based practices to other CTSA hubs. Over the past 7 years, the University of Wisconsin-Madison has answered this charge by implementing the facilitator training (FT) initiative for research mentors. Three elements to advance training across the CTSA hubs have been critical: (1) using an FT model to empower others to build research mentor training at their local institutions; (2) tracking implementation of training events across the CTSA hubs over time; and (3) partnering with implementation sites to build local capacity and evaluate the effectiveness and quality of training. Here we report that facilitators have been trained at 75% of CTSA hubs. These facilitators report high satisfaction with the training and increased confidence in their ability to implement mentor training, and plan to implement local mentor training. These findings demonstrate that the FT initiative can serve as a model for dissemination and implementation of other workforce development interventions across the CTSA hubs.

The fifth in a 5-part series on the clinical and translational sciences educational pipeline, this paper focuses on strategies for developing leadership capacity among senior faculty and administrators responsible for clinical and translational science (CTS) research. Although progression in academic rank recognizes scientific excellence in research or scholarship, neither disciplinary training nor experience alone prepare senior faculty for the leadership challenges they inevitably face. Yet these faculty are increasingly responsible for multidisciplinary teams working within complex organizations with unclear or conflicting incentives that demand innovation. In academic health centers with Clinical and Translational Science Awards (CTSAs), investing in leadership often includes career development support in the CTSA education and training pillar programs. Only a few CTSAs have taken an intentional approach to developing senior leadership capacity, however, and still fewer have focused specifically on building such capacity for current CTS leaders within the context of a growing emphasis on team science. This manuscript explains the need for senior leadership training and describes an established example of such a program, the year-long Leadership for Innovative Team Science program for senior CTS researchers at the University of Colorado. The development of the program over time, topical elements, and participant perspectives are provided.

Preparing investigators to competently conduct community-engaged research is critical to achieving Clinical and Translational Science Award (CTSA) program goals. The purpose of this study is to describe the perspectives of members of a long-standing community engagement advisory board (CEAB) on investigators’ readiness to engage communities and indicators of investigator competence in community-engaged research, in order to suggest core competencies to guide the development of CTSA-sponsored educational programs. Two 90-minute focus groups were conducted with a subset of members of a CEAB (n=19) affiliated with the Center for Clinical and Translational Science at the University of Illinois at Chicago. CEAB members identified a range of investigator skills and practices that demonstrate readiness to engage in community-engaged research. Eight competencies were identified that should be incorporated in providing education to enhance the readiness and competency of CTSA-affiliated researchers planning to engage communities in research. CEAB observations demonstrate the necessity of developing competency-based educational programs that prepare clinical and translational scientists at all levels for the important work of community-engaged research.

Each year our Clinical and Translational Science Award pilot projects program awards approximately $500,000 in translational pilot funding to advance health in South Texas. We identified needs to improve the timeliness, transparency, and efficiency of the review process by surveying applicants. Lean six sigma methodologies, following a “Define, Measure, Analyze, Improve, Control” approach, were used to streamline the pilot project application and review by identifying and removing bottlenecks from process flows. We evaluated the impact of our reorganized review process by surveying applicants and reviewers. Process mapping identified pilot project review as the main source of delay, leading to the implementation of a study section-style review mechanism. After one cycle, 90.3% of pilot applicants and 100% of reviewers were highly satisfied with the new processes and time to award notice was reduced by 2 months. All reviewers familiar with both review processes preferred the study section. We demonstrated how lean six sigma, a methodology not commonly applied in research administration, can be used to evaluate processes in translational science in academic health centers. Through our efforts, we were able to improve timeliness, transparency, and efficiency of the review process.

Educational tools for application of team science competencies in clinical research are needed. Our interdisciplinary group developed and evaluated acceptability of a virtual world game-based learning tool simulating a multisite clinical trial; performance hinges on effective intrateam communication. Initial implementation with clinical research trainees (n=40) indicates high satisfaction and perceived relevance to team science and research career goals. Game-based learning may play an important role in team science training.

Predictive analytics in health is a complex, transdisciplinary field requiring collaboration across diverse scientific and stakeholder groups. Pilot implementation of participatory research to foster team science in predictive analytics through a partnered-symposium and funding competition. In total, 85 stakeholders were engaged across diverse translational domains, with a significant increase in perceived importance of early inclusion of patients and communities in research. Participatory research approaches may be an effective model for engaging broad stakeholders in predictive analytics.

Precision health and big data approaches have great potential, yet such benefits will be realized only when social and behavioral determinants of health and patient preferences are combined with genomic information. Literature review and co-author experiences informed this commentary. Validated health behavior, mental health, and patient preference measures were collected and summarized in real time. Integration of such data into existing data sets will advance precision health, patient-centered care, research, and policy.