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4577 results in Journal of Clinical and Translational Science

Page 1 of 229

  • Trends in turnover and turbulence at a large academic medical center before and during COVID-19: Analyzing structured clinical research professional roles

  • Marissa Stroo, Camila Reyes, Christine Deeter, Stephanie A. Freel, Heather Gaudaur, Richard Sloane, Denise C. Snyder
  • Journal:
    Journal of Clinical and Translational Science / Volume 9 / Issue 1 / 2025
    Published online by Cambridge University Press:
    13 June 2025, e134
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  • Introduction:

    High workforce turbulence has plagued clinical research, becoming intensified during the COVID-19 pandemic, especially for patient-facing workers. In a time of great uncertainty and risk among healthcare workers, researchers included, the pandemic also brought increased demand for research studies in volume, speed, and complexity, triggering elevated staff turnover. This has posed significant hurdles for employers, especially research sites, where retaining skilled patient-facing clinical research professionals (CRPs) is pivotal for sustaining medical innovation. Lack of job standardization and advancement pathways has been noted to play an important role both in turnover and contributes to the inability to accurately measure workforce trends. To address these factors, Duke University adopted a competency-based job classification system for CRPs in 2016.

    Methods:

    Since that adoption of competency-based jobs, employee-level staffing data for all CRPs have been tracked monthly, creating a master data file from September 2016 through June 2024. This study updates previous analyses, evaluating turnover and turbulence rates, and demographic changes in the CRP workforce over this period.

    Results:

    Over the last six years, the Duke CRP workforce remained relatively stable. Voluntary turnover rates fluctuated, peaking at 19.1% in FY 2021 during the COVID-19 pandemic, and have steadily declined each year since then.

    Conclusions:

    Despite national workforce challenges exacerbated by the pandemic, our data indicate that proactive measures to standardize clinical research jobs and assess the resultant well-defined site-based employee data may have mitigated extremes in workforce turnover at Duke University. Turbulence rates, while stabilizing, signal areas for further study.

  • Evaluating community engagement efforts in a clinical and translational research initiative

  • Kelly Finck Waters, Brenda Joly, Carolyn E. Gray, Jan K. Carney, Kathleen M. Fairfield
  • Journal:
    Journal of Clinical and Translational Science / Volume 9 / Issue 1 / 2025
    Published online by Cambridge University Press:
    09 June 2025, e135
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  • A priority of the Northern New England Clinical and Translational Research (NNE-CTR) Network is conducting, promoting, and advancing community-engaged research through its Community Engagement and Outreach (CEO) Core. We sought to measure the CEO Core’s success in strengthening community-level research partnerships using a validated survey platform based on network science to map and track collaborations over time. The survey was completed by 59/76 organizations (77.6% response rate). Key findings included a high level of trust and a modest level of perceived value relative to published benchmarks. Additional specific findings will inform opportunities to improve the network as the NNE-CTR matures.

  • Building an evaluation infrastructure to capture process and progress within a Clinical and Translational Science Awards hub

  • Maggie Padek, Dinesh Pal Mudaranthakam, Sam Pepper, Mary Penne Mays, Shellie D. Ellis
  • Journal:
    Journal of Clinical and Translational Science / Volume 9 / Issue 1 / 2025
    Published online by Cambridge University Press:
    09 June 2025, e136
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  • To improve its management capacity, Frontiers Clinical and Translational Science Institute overhauled its evaluation infrastructure to be comprehensive, efficient, and transparent in demonstrating outputs and outcomes. We built a platform that standardized measures across program areas, integrated continuous improvement processes, and reduced the data entry burden for investigators. Using the Utilization-Focused Evaluation Framework, we created logic models to identify appropriate metrics. We built the evaluation data platform within REDCap to capture requests, events, attendance, and outcomes and to push work processes to Navigators. We initiated a membership model to serve as the backbone of the platform which allowed tailored communication, demographic data capture, and reduced data entry burden. The platform consists of nine REDCap projects across multiple programmatic areas. Using REDCap Dynamic SQL query fields and External Modules, the membership module was integrated into all forms to check and collect membership before service access. Data is synched to a dashboard for tracking outputs and outcomes in real-time. Since the launch of the evaluation platform in Fall 2022, Frontiers has increased its workflow efficiency and streamlined continuous improvement communication. The platform can serve as a model for other hubs to build efficient processes to create comprehensive and transparent evaluation plans.

Page 1 of 229