Objectives/Goals: Arterial stiffness is a determinant of vascular health. Older Black females exhibit greater arterial stiffness than White females. Exercise minimizes negative health effects of prolonged exposure to adverse social determinants of health (SDoH). Here, we will assess the role of exercise on race differences in arterial stiffness and SDoH in females. Methods/Study Population: We will recruit 96 postmenopausal females (48 Black, 48 White) from the Birmingham, AL area. Graded exercise tests will be used to define training status (“trained”: VO2max ≥60th percentile, “untrained”: ≤35th percentile). We will assess arterial stiffness via pulse wave velocity (SphygmoCor XCEL). SDoH will include income, education, neighborhood deprivation, racial discrimination, food insecurity, and healthcare access, all measured via corresponding surveys. We will then perform a two-way analysis of variance (race × training status) to assess the differences in arterial stiffness between groups. Through linear regression, we will evaluate the statistical relations between arterial stiffness and race, training status, and SDoH. Results/Anticipated Results: Our central hypothesis is that Black females will have greater arterial stiffness, by way of greater exposure to adverse SDoH, than White females, but that habitual aerobic exercise will attenuate this race difference. Ultimately, we aim to inform future clinical trials related to understanding female-specific cardiovascular disease progression. Discussion/Significance of Impact: Black females face significant exposure to adverse SDoH and have the highest rates of cardiovascular disease in the United States. However, females are still widely underrepresented in relevant research. This will be the first study to examine the roles of aerobic exercise, race, and SDoH in cardiovascular disease risk among females.

Objectives/Goals: To develop a user-friendly tool to simplify the Trillium Drug Program (TDP) application process, addressing barriers for pre-exposure prophylaxis (PrEP) users aged 25 to 64 years. This project may also serve as a scalable model for improving accessibility across other service delivery programs. Methods/Study Population: This study uses the Translational Research Framework to create and refine an online TDP guide. Participants include Ontario residents aged 23 to 64 years. Challenges are identified in the “Understand” phase, while user-driven feedback in the “Act” phase iteratively enhances the tool. Virtual prototyping interviews via Zoom will assess user experience, and error rates will be evaluated by comparing tool suggestions with verified mock scenarios. Twenty participants will test the tool in two iterations: Version 1 from January to February 2025, and Version 2 based on feedback from February to March 2025. Results/Anticipated Results: It is anticipated that participants will encounter fewer barriers to completing the TDP application when using the tool. We expect to see an improvement in user experience by simplifying complex procedures and guiding participants through mock applications with generated scenarios. Data collected from user feedback will highlight specific elements of the tool that require enhancement. Ultimately, we anticipate an increase in successful TDP applications among participants and improvements in accessibility and efficiency of the application process for PrEP users aged 23 to 64 years in Ontario. Discussion/Significance of Impact: The developed tool aims to reduce financial barriers to PrEP access by facilitating successful enrolment in the TDP. The project’s broader impact includes improving health outcomes for underserved communities and contributing to equitable healthcare service delivery.

Objectives/Goals: Community members in North Central Florida who were identified with high mental health burden, through completion of a Health Needs Assessment in our community engagement program, experienced higher rates of health disparities like food insecurity, recent marijuana use, and burden of disease compared to persons with lower mental health burden. Methods/Study Population: Data were collected through HealthStreet, a University of Florida community engagement program to reduce disparities in healthcare and research. Multivariate and logistic regression analyses were conducted to identify differences between community members with high mental health burden (HMHB; reported depression and scored 8–10 on the stress/loneliness scale) and people with low mental health burden (LMHB; no reported depression and scored 1–7 on the stress/loneliness scale) on age, sex, race, food insecurity, trust in research/researchers, recent marijuana use, high blood pressure, and anxiety. Results/Anticipated Results: Among 3,736 CMs, 21.9% (n = 819) were considered to have high mental health burden. They were statistically significantly more likely to be middle-aged (37.9% vs. 31.2% LMHB), food insecure (62.6% vs. 35.2% LMHB), self-reported marijuana use in the past 30 days (29.2% vs. 15.5% LMHB), and experienced anxiety (70.8% vs. 34.4% LMHB). There were no differences by sex or trust. Discussion/Significance of Impact: People with HMHB do in fact have more disparities than people with LMHB but trust in research(ers) is not affected. These disparities contribute to significant distress over the lifespan. HealthStreet has engaged people with higher mental health burden and provided social referrals, which is crucial to reduce disparities and improve outcomes.

Objectives/Goals: The goals of this research are to 1) determine the prevalence of perinatal doula services use in Virginia, with a focus on individuals with substance use disorders (SUD), 2) evaluate awareness of doulas among pregnant and postpartum people with SUD, and 3) assess provider knowledge and interaction with doulas for the care of this population. Methods/Study Population: Both quantitative and qualitative methods will be used to evaluate patient and healthcare provider knowledge regarding doula services and the patient–doula–healthcare provider relationship. Surveys and semi-structured interviews will be administered to doulas, pregnant and postpartum women, and healthcare providers in this mixed-methods approach. Information from the Centers for Medicare and Medicaid Services National Provider Identifier (NPI) Registry, and doula training programs will be utilized to recruit doulas for participation. Paper and online recruitment materials will be posted to engage pregnant and postpartum individuals. Healthcare provider recruitment will occur via the NPI Registry along with contacting physicians’ practices. SAS 9.4 and NVivo will be utilized for analysis. Results/Anticipated Results: This proposed research will be an initial assessment of the current state of doula services utilization, mothers’ knowledge of doulas and their purpose, and healthcare providers’ awareness of and partnership with doulas to provide optimal birthing and postpartum experiences to the pregnant and parenting population with and without SUD. Results from this study will be disseminated to community doulas, pregnant people and mothers with substance use disorders, and relevant healthcare providers to decrease barriers to doula care and advocate for consistent, systematic documentation of doula services in the medical record and in public health surveillance systems. Discussion/Significance of Impact: This study will be the first study to assess doula services utilization in Virginia, with a specific focus on pregnant and postpartum women with substance use disorders. This work will support advocacy for improved data capture and utilization regarding doula services in order to reduce barriers to care and improve perinatal outcomes.

Objectives/Goals: The purpose of this study was to document the publicly available literature, measurement tools, secondary data, and expert perspective on the intersectional care gaps and disparities of children with palliative needs in foster care. Methods/Study Population: Four data collection methods determined the frontier of available information on the palliative needs of children in foster care. A literature review assessed the quality and content of published evidence. A catalogue of relevant measures tools and validation results determined what psychometric tools exist for the population, how well they performed in validation studies, and if any incorporated community members in their development. The National Data Archive for Child Abuse and Neglect was consulted to assess whether existing secondary data was fit for purpose. Informal interviews will be conducted with subject matter experts (pediatrics, palliative care, foster care) to determine the legitimacy and urgency of the problem. Results/Anticipated Results: Health inequities among children in foster care and children with medical complexity (CMC) suggest a strong likelihood of unmet palliative care needs for CMC in foster care; however, no literature or data describe the scope and severity, and few insights support development of safe and supportive interventions to meet these needs. No national publicly available datasets include both foster-related case or placement information and diagnosis or service-specific data, including Medicaid data and the Adoption and Foster Care Analysis and Reporting System (AFCARS). No work has been published integrating foster parents or former foster youth input on palliative needs. Participatory action research methodologies with critically ill patients have led to improvements in patient experience and clinical care. Discussion/Significance of Impact: The lack of data, community engagement, and validated measures to identify palliative needs of children in foster care stymie efforts to identify and correct health inequities. Participatory action research is needed to meaningfully engage foster and health care partners to determine what palliative care needs should be prioritized and measured.

Evaluation teams have been critical to the success of Clinical and Translational Science Award (CTSA) programs funded by the National Center for Advancing Translational Sciences (NCATS). Given the limited resources often available to evaluation teams and the growing emphasis on impact evaluation and continuous quality improvement (CQI), CTSA programs may need to develop innovative strategies to build capacity for effectively implementing CQI and impact evaluation, while still tracking commonly reported metrics. To address this challenge, the Boston University (BU) Clinical and Translational Science Institute (CTSI) partnered with the BU Hariri’s Software and Application Innovation Lab (SAIL) to develop a web-based digital tool, known as TrackImpact, that streamlines data collection, saving significant time and resources, and increasing evaluation team capacity for other activities. Time and cost saving analyses are used to demonstrate how we increased evaluation team capacity by using this innovative digital tool.

Objectives/Goals: Substantial evidence supports the use of community engagement in CTS. Yet, there is a lack of empirical basis for recommending a particular level of community engagement over others. We aimed to identify associations between level of community involvement and study process outcomes, focusing on procedures to promote enrollment and inclusion. Methods/Study Population: Using manifest content analysis, we analyzed community engagement (CEn) strategies of studies indexed in ClinicalTrials.gov, focusing on studies 1) associated with 20 medical schools located in 8 southern states in the Black Belt, 2) conducted in 2015–2019, and 3) on 7 topics: cancer, depression, anxiety, hypertension, substance use disorder, cardiovascular disease, and HIV/AIDS. Data source was the ClinicalTrials.gov entry and publication for each study. We categorized each study on level of community involvement as described by the study protocol CTSA Consortium Community Engagement Key Function Committee Task Force on the Principles of Community Engagement continuum. Outcomes included recruitment and representativeness. Other codes included funder type, study phase, study status, and time to enrollment. Results/Anticipated Results: Of 890 studies that met inclusion criteria, only 493 had published findings. 286 studies (58%) met enrollment targets. Only 9 studies described any level of CEn (1 outreach, 3 consult, 1 involvement, 3 collaboration, and 1 shared leadership). Time to enrollment for these 9 studies (mean 28.78 mos.) was shorter than for studies without CEn (mean 37.43 months) (n.s.). CEn studies reached significantly higher enrollment (CEn mean  = 2395.11, non-CEn mean  = 463.93), p Discussion/Significance of Impact: Results demonstrate the substantial effect of CEn on enrollment and inclusion in clinical studies. However, the infinitesimal number of studies that reported CEn did not allow comparisons of level of engagement on the outcomes. Findings highlight ethical questions surrounding the lack of publishing incomplete studies.

Numerous symposia and conferences have been held to discuss the promise of Artificial Intelligence (AI). Many center on its potential to transform fields like health and medicine, law, education, business, and more. Further, while many AI-focused events include those data scientists involved in developing foundational models, to our knowledge, there has been little attention on AI’s role for data science and the data scientist. In a new symposium series with its inaugural debut in December 2024 titled AI for Data Science, thought leaders convened to discuss both the promises and challenges of integrating AI into the workflows of data scientists. A keynote address by Michael Pencina from Duke University together with contributions from three panels covered a wide range of topics including rigor, reproducibility, the training of current and future data scientists, and the potential of AI’s integration in public health.

Objectives/Goals: As translational researchers, we seek to offer more treatments to more people, more quickly. Essential to this mission, we must demonstrate trustworthiness to establish trusted with those we seek to benefit. Research Jam uses a human-centered design (HCD) research approach to achieve this. Methods/Study Population: HCD is an iterative process that focuses on understanding people’s contexts while designing products and services collaboratively with the people who will interact with and be affected by the research. This generative approach helps participants express tacit and latent knowledge – emotions, needs, and desires that are often challenging to communicate verbally. We work with individuals who have lived experience relevant to the research being conducted and use HCD activities to help people share their thoughts, concerns, and ideas. These activities are highly interactive, promote collaboration, and explore topics with respect and sensitivity. Results/Anticipated Results: At Indiana Clinical and Translational Sciences Institute, we use the AAMC’s principles of trustworthiness. These principles parallel the tenets of HCD research; thus, taking an HCD research approach naturally builds trust between the researcher and participants and offers tangible benefit to the research, the researcher, and those with lived experience who participate. We have ten years of work collaborating with 40 PIs and over 600 participants. Our experiences demonstrate that this approach can create an environment where participants feel comfortable as they share their thoughts, concerns, and ideas which influences the research that could affect their lives. Discussion/Significance of Impact: An HCD approach helps demonstrate a researcher’s trustworthiness with the population being served. This is essential to achieve a lasting impact by discovering the best solutions from the community’s perspective and identifying partners to help implement solutions.

Objectives/Goals: To evaluate disparities in diabetes outcomes between Hispanic/Latinx and non-Hispanic participants in a medically tailored meal intervention, assess effect modification by ethnicity/language, and explore cultural factors influencing intervention effectiveness for diverse T2DM populations. Methods/Study Population: This mixed-methods study, part of the Changing Health through Food Support for Diabetes RCT (n = 246), compares standard diabetes care to a 6-month medically tailored meal intervention for T2DM patients with food insecurity. It examines differences in intervention effectiveness among Latinx, Spanish-speaking participants and non-Latinx, English-speaking participants from San Francisco and Alameda counties. Quantitative measures include HbA1c, food security scores, and hospitalization rates. Qualitative interviews explore diabetes management, food access, and cultural factors. Baseline disparities are assessed using t-tests and chi-square analyses, while longitudinal changes are evaluated with mixed-effects models. Thematic analysis of qualitative data identifies emerging patterns. Results/Anticipated Results: We expect to find significant baseline disparities in glycemic control and food security between Latinx- and Spanish-speaking participants compared to their counterparts. The medically tailored meal intervention is anticipated to show differential effectiveness, with potentially smaller improvements among Latinx and Spanish-speaking groups. While we hypothesize that medically tailored meals will lead to improved glycemic control and reduced food insecurity across all groups, the magnitude of improvement may vary. Qualitative data are expected to reveal unique cultural and linguistic barriers contributing to these disparities, as well as insights into the acceptability and cultural appropriateness of the intervention. Discussion/Significance of Impact: This study will inform culturally tailored medically tailored meal interventions for Hispanic/Latinx- and Spanish-speaking populations, addressing disparities in diabetes outcomes and food security. Findings will shape “food is medicine” initiatives and policies to reduce chronic disease burden and health inequities in diverse communities.

Objectives/Goals: 1. Demonstrate the need to apply principles of community-engaged research to various stages of the research process. 2. Outline the process of using CE Studio(s) to redesign an interview guide for service providers of youth involved in the justice system. Methods/Study Population: Service-providers provide a critical lens with which to view the sexual health needs of justice-involved youth. Minimal research describes the unique perspectives of those who work directly with this vulnerable population to address their sexual health needs. The goal of this project is to outline the process of using CE Studio(s) to redesign an interview guide for service providers. The guide is aimed at gathering insight into the knowledge, access, and use of sexual health services for justice-involved youth. Preparation involves the preplanning phase, including the drafting of the interview guide; engagement consists of recruitment and implementation of the CE Studio; and restructuring will outline the application of feedback and finalization of the interview guide. Results/Anticipated Results: During the preparation phase, the researcher was tasked with (1) developing a visual guide to highlight key points of the research study and (2) providing a draft of the tentative interview guide for review prior to the CE Studio session. For the engagement stage, participants were recruited from listservs, community organizations, and word-of-mouth to participate in a session facilitated by a member of the CE Studio team. Lastly, we anticipate that the restructuring phase will not only allow us to use feedback from the CE Studio session to alter the interview guide but provide insight into potential recruitment strategies for the overarching research project. Discussion/Significance of Impact: Leveraging CE Studios to elicit feedback from service providers will provide unique insight into addressing the sexual health needs of justice-involved youth. We expect that the overall CE Studio process and feedback will be integral in eliciting strong qualitative feedback and shaping the implementation of the overall research project.

Assessing the long-term impact of community-engaged research (CEnR) programs remains a significant challenge in translational science, such as those conducted by Clinical and Translational Science Awards (CTSAs). The Translational Science Benefits Model (TSBM) is a framework designed to evaluate impact across four health and social domains (clinical/medical, community, economic, and political/legislative). TSBM offers a comprehensive framework for evaluating CEnR projects, as it extends beyond short-term outcomes to highlight distal impacts and sustainable benefits. Progress reports from three Cincinnati CTSA CEnR programs (Community Leaders Institute [CLI; n = 170], Community Health Grant [CHG; n = 82], and Partnership Development Grant [PDG; n = 21]) completed between 2010 and 2023 were coded by three reviewers using the TSBM. As expected, CEnR programs primarily demonstrated community & public health benefits. Economic, policy, and clinical benefits were also identified, further amplifying the impact of this work. The adoption of frameworks like the TSBM could lead to a more standardized approach for evaluating the impact of CEnR programs and facilitate comparisons across CTSAs. Future studies that track the impact of CEnR programs on health and social systems could provide valuable insights into the long-term benefits of these initiatives.

Objectives/Goals: Despite significant advancements, adolescent and young adult (AYA) patients with hematologic malignancies continue to have inferior improvement in survival over time compared to their younger and older peers. This project assesses which patient and neighborhood characteristics are associated with clinical trial enrollment in this population. Methods/Study Population: We will perform a retrospective study of individuals, aged 15–39, diagnosed and treated at Children’s Healthcare of Atlanta (CHOA) or Winship Cancer Institute for hematologic malignancies between 2011 and 2023. Our primary exposure variables will be race/ethnicity, the area deprivation index (ADI), and the index of concentration at the extremes (ICE). The primary study outcome will be enrollment in an open frontline therapeutic clinical trial (yes vs. no). Our analyses will estimate the crude and adjusted odds ratio of clinical trial enrollment according to race/ethnicity, ADI, and ICE; these analyses will be adjusted for co-variables of interest (e.g. patient primary language, and insurance provider). As a secondary analysis, we will further subdivide the patients by treatment location and by age tertiles. Results/Anticipated Results: Our study team completed preliminary work looking at institutional clinical trial enrollment in a pediatric-only (Discussion/Significance of Impact: We expect that this study conducted in a large, diverse AYA cohort will reveal key associations about likelihood of clinical trial enrollment. Once these associations are known, we can develop and test interventions –such as augmented social work involvement and assistance with transportation– to mitigate the effect of amenable risk factors.