The Duke Research Equity and Diversity Initiative (READI) was established in 2021 to engage Durham and surrounding communities in clinical research and build capacity to promote equitable access to research participation. Within READI, a voucher program was launched with the goals of increasing diverse participation in clinical research, improving community-partnered research, and enhancing community engagement. The vouchers leveraged a stand-alone, community-centered, outpatient research clinic, the Duke Research at Pickett (R@P) facility, which was originally opened to support COVID-19 trials. A formative evaluation of the voucher program was conducted with 3 voucher-awarded teams, READI personnel, and R@P staff. Data included 18 semi-structured interviews (n = 14) over two timepoints (Spring 2023, 2024). A rapid response analysis approach was used. Data indicate that READI voucher-awarded services were useful for voucher teams, with value for supporting community-engaged efforts, making research participation accessible, creating a community-centered and streamlined service facility, and personnel development benefits. Communication and flexibility of support services facilitated program implementation. Challenges occurred in service utilization logistics and incorporating community engagement into research support services. Ultimately, we find that a research support program with embedded community engagement support is feasible; this type of support can be integral in normalizing community-engaged research.

While community engagement (CE) has been increasing in the mental and behavioral health fields, evaluation of CE remains a challenge. Currently, there are no published evaluation tools that assess frequency of engagement, and many CE measures are not based on established engagement theories. Based on the International Association for Public Participation’s CE continuum, the CE team of the Mental and Behavioral Health Institute (MBHI) at a large pediatric hospital developed a system of measurement to describe frequency of engagement across eight initiatives. This tool, the Frequency of Active Community Engagement (FACE) measure, was administered to the leaders of each of the participating MBHI teams. FACE summarized CE frequencies for three target populations (youth, caregivers, and community members) for each team. Follow-up team meetings provided additional descriptive information for the development of CE goals. In this special communication, we describe this data collection approach, CE results, as well as future directions and potential uses for FACE as an evaluation tool.

Reference standards are vital for harmonizing heterogeneous clinical data for research, but little is known about their implementations or costs. We surveyed NIH Clinical and Translational Science Awards (CTSA) hubs to assess operational dimensions of institutional implementation, maintenance, and use of the Logical Observation Identifiers, Names, and Codes (LOINC) standard. Respondents (n = 19,30%) exhibited substantial variability in approaches to implementation. Differences in number and training of staff and frequency of mapping updates make it difficult to estimate costs and comparability of data across sites. CTSA and other multi-site research can benefit from operational definitions and recommended processes for LOINC implementation.

The National Institutes of Health All of Us Research Program (All of Us or program) aims to better understand the complexity of diseases, prevention and treatment at the individual level. To accomplish this, one of the program components is to build a longitudinal cohort of one million or more volunteers in the United States and its territories through which clinical, environmental, genetic, and behavioral data are collected. Federally Qualified Health Centers (FQHCs) play a crucial role in enrolling participants in the program and while FQHCs have the dedication, leadership, and wherewithal to operationalize a national longitudinal data collection, their local resources are limited by funding and scope for conducting research. This paper describes the evolution of FQHC research landscape, from building capacity for descriptive, to exploratory operational research, and moving toward biomedical research. As programs such as All of Us continue to ensure that focus on precision medicine is reflected in both data collection and research, continuing to advance the research landscape within health centers is crucial. By developing this capacity, we are developing a research infrastructure that will continue to grow, supporting advancements in precision medicine for improving health outcomes.