Objectives/Goals: Academic research centers struggle to recruit and retain a diverse, competent clinical and translational science (CTS) workforce. The clinical research professional career pathway is particularly underrecognized among undergraduates, despite offering multiple career opportunities. Methods/Study Population: To address these challenges, two undergraduate outreach programs were developed. First, an undergraduate certificate program in CTS (UC-CTS) was designed to equip students with the skills and knowledge needed to enter the workforce immediately after graduation. Second, a “CTS Roadshow” was launched to build awareness of CTS careers within a variety of undergraduate programs and majors. In this recruitment initiative, principal investigators (PIs) and CRPs visit classrooms to share information about CTS career pathways and offer insights into the roles, responsibilities, and professional opportunities available in the field. Results/Anticipated Results: The UC-CTS program launched in Fall 2024 as a 12-credit certificate that includes two paid internships: one in patient care and one in research. Currently, the program has 5 students enrolled with an anticipated increase in enrollment to 20 students by Spring 2025. Similarly, the CTS Roadshow has reached an increasing number of students each year. Since its inception in Spring 2023, the CTS Roadshow has introduced over 750 undergraduates across 21 courses to CTS careers. The CTS Roadshow has engaged students from a variety of majors, including biology, psychology, medical sciences, legal, finance, accounting, and pre-health programs, increasing awareness of and interest in CTS careers. Discussion/Significance of Impact: Both programs aim to expose students to CTS careers early in their education, better preparing them for full-time CTS roles after graduation. A rise in qualified applicants pursuing CTS careers locally and regionally is expected, improving job satisfaction and retention through enhanced preparation for the career field.

Objectives/Goals: This study will assess population heterogeneity in Candida bloodstream infections by quantifying antifungal resistance, fitness, and genomic diversity to understand clonality and develop a high-throughput screening tool to detect population-level resistance to update clinical practice. Methods/Study Population: This study assesses antifungal resistance and population heterogeneity in Candida bloodstream isolates collected through multiple Midwest hospitals. Blood samples are plated to isolate single colonies and population samples, which are then archived. We test resistance to key antifungals using EUCAST guidelines, conduct growth curve assays, and perform whole-genome sequencing to determine genetic diversity. A high-throughput screening method tracks colony growth under different drug conditions using time-lapse imaging and custom analysis software. The findings will reveal the extent of antifungal resistance and genetic variation within infecting populations, informing better clinical management. Results/Anticipated Results: Preliminary analysis of Candida glabrata bloodstream isolates show significant heterogeneity in colony morphology, antifungal resistance, and fitness. Some single colonies exhibit higher minimum inhibitory concentration values for micafungin and fluconazole than the overall population, while others show reduced susceptibility to amphotericin B, highlighting diverse resistance profiles. Growth assays reveal distinct fitness phenotypes within these populations. This variation underscores the limitations of single-colony testing and suggests a need for population-level resistance screening. We anticipate genomic analyses will identify genetic diversity underlying these differences, supporting a more comprehensive clinical approach to treatment. Discussion/Significance of Impact: This study reveals notable intrapopulation heterogeneity in Candida glabrata, including variations in colony morphology, antifungal resistance, and fitness. Findings highlight genomic diversity, introduce a novel screening method for resistance, and emphasize the need for population-level testing in clinical practice.

Objectives/Goals: In January 2023, Mayo Clinic set a goal to have 10% of studies open for six months or more without accrual. At that time, Mayo Clinic Florida had 19% non-accruing studies and 18% non-accruing clinical trials. Research administration implemented strategies to improve accrual outcomes. Methods/Study Population: Two strategies were developed to address non-accruing trials: a clean-up approach and a proactive approach. The clean-up approach involves escalating studies that haven’t been enrolled in over 6 months, identifying barriers, and escalating communication with the principal investigator (PI) and research administration alongside a physician partner. The proactive approach targets studies at the 3-month mark to address issues before reaching 6 months without accrual. Both strategies aim to reduce the cost and effort of non-accruing studies by either creating an enrollment plan or closing the study. Results/Anticipated Results: Since implementation, Mayo Clinic Florida’s non-accruing study portfolio decreased by 10%, and its clinical trials non-accruing portfolio decreased by 7% as of October 2024. Research Administration tracks key metrics (reasons for no enrollment, justifications, and actions) to identify trends and mitigate future accrual risks. A REDCap electronic data capture tool hosted at Mayo Clinic (supported by CCaTS grant UL1TR002377)1 notifies principal investigators when their studies are non-accruing. Future plans include establishing an API with Mayo Clinic’s portfolio management system to streamline the process while maintaining awareness and collaboration. Discussion/Significance of Impact: Through increased monitoring, enhanced communication, and deeper collaboration, Mayo Clinic Florida effectively reduced non-accruing studies in its research portfolio. This approach minimizes effort and costs associated with under-enrolled studies while tracking key metrics to inform future study development.

Objectives/Goals: To determine the safety and feasibility of single-pulse transcranial magnetic stimulation (spTMS) for assessing corticospinal tract (CST) excitability and integrity in infants with perinatal brain injury, bridging foundational neuroscience to potential early diagnosis and clinical interventions during critical neuroplasticity periods. Methods/Study Population: Nineteen infants with perinatal brain injury underwent 1–3 spTMS sessions at three developmental time points: 3–6 months, 12 ± 1 month, and 18 ± 1 month. spTMS targeted the primary motor cortex to elicit motor-evoked potentials (MEPs), recorded via electromyography (EMG) from bilateral wrist flexor muscles. Safety monitoring included heart rate (HR), respiratory rate (RR), the Modified Behavioral Pain Scale (MBPS), and caregiver feedback. Feasibility was evaluated based on the ability to elicit MEPs, the number of trials that elicited MEPs, and procedure tolerability. Pre- and post-spTMS physiological and behavioral data were analyzed using linear mixed-effects models (LMEM) to account for repeated measures within subjects. Results/Anticipated Results: Thirty-five spTMS sessions were conducted in 19 infants (mean age 8.75 ± 5.12 months) with perinatal brain injury, delivering 1936 pulses with a median inter-pulse interval of 24.7 seconds. Analysis with LMEM found no significant changes in HR (mean difference  =  0.51 bpm, p  =  0.81) or RR (mean difference  =  0.69 breaths/min, p  =  0.66). MBPS scores showed a small statistically significant increase (mean difference  =  0.57, p  =  0.046), but overall remained low (mean score change from 1.94 to 2.51 on 0–10 scale). The median change score was 0, and 18/35 sessions showed no change in MBPS, indicating low discomfort with TMS. No adverse events were reported during or after the sessions. The feasibility of eliciting MEPs in this population was confirmed, with 235 MEPs identified in 17/19 participants. Discussion/Significance of Impact: Understanding neurodevelopment after injury is crucial for early diagnosis and targeted rehabilitation. Our study demonstrates that spTMS is a safe, feasible tool for assessing motor pathways in infants with early brain injury, highlighting its potential for clinical translation in neurodevelopmental disorders, and offering a pathway to improved care.

Objectives/Goals: We developed an educational online module to equip researchers with knowledge, skills, and resources for conducting community-engaged research, aiming to foster meaningful collaboration between academia and communities. Methods/Study Population: A working group was formed, including three research faculty, four staff members, and four community partners who have partnered with researchers on community engaged projects. The working group first identified three objectives for the module and outlined what should be covered for each objective. The working group identified existing resources, texts, and videos that would address the objectives and worked in small groups to create additional content for the module. A smaller subgroup then took this content, organized it, and worked with the Office of Online Education to put the content into an interactive online format. Results/Anticipated Results: The three objectives identified for the online module are 1) Describe community engaged research, the purpose it serves, and why researchers do it; 2) Identify how to seek and collaboratively engage with a community partner; and 3) Identify and connect with resources for conducting community engaged research in Indiana. Each objective contains text, interactive figures and images, links to external resources or further reading, and videos of researchers and community partners talking about their own experiences and lessons learned. Each objective also includes activities and prompts for the learner to complete to apply the module content to the work they want to do. Discussion/Significance of Impact: Community engagement ensures research addresses real-world needs, builds trust, and includes diverse perspectives. Many researchers lack best practices to do this ethically. This module teaches skills needed to foster trust through transparency, respect, and by incorporating community voices.

Objectives/Goals: Neurodegenerative diseases involve progressive neuronal loss or dysfunction, often due to accumulated damage and impaired repair mechanisms. Our research evaluates the role of innate immune recognition proteins to provide insights into age-related neurodegeneration and cognitive decline. Methods/Study Population: We will utilize transcriptomic data from the Long-Life Family Study (LLFS), a cohort rich in genetic and phenotypic data related to aging and longevity. Our approach includes assessing a set of innate immune recognition proteins, also known as pattern recognition receptors (PRRs) expression across various age groups, focusing on potential correlations with cognitive performance. By analyzing serum transcriptomic profiles, we aim to map changes in expression and DNA repair genes over time, evaluating their connection to cognitive health and neurodegeneration in aging populations. Results/Anticipated Results: We anticipate that the expression of some PRRs will increase with age and correlate with cognitive decline, suggesting a role in age-related neurodegeneration. We also expect a decrease in DNA repair pathway gene expression in older age groups, contrasting with an increase in genes involved in endogenous DNA detection. These results will reveal how PRRs may function as neuroprotective factors and how their expression changes may relate to the decline in DNA repair processes with age, providing a better understanding of innate immune recognition in cognitive health. Discussion/Significance of Impact: This study will reveal the role of PRRs in aging and neurodegeneration, potentially establishing them as a key player in neuronal protection. Findings may guide future research into therapeutic strategies targeting them for Alzheimer’s and other age-related neurodegenerative diseases.

Objectives/Goals: Unhealthy lifestyle habits may increase medical students’ risk for metabolic dysfunction-associated fatty liver disease (MAFLD) and non-alcoholic fatty pancreatic disease (NAFPD). This study aims to investigate how these lifestyle factors affect liver and pancreas health in preclinical medical students using diagnostic ultrasound imaging. Methods/Study Population: Using diagnostic ultrasound imaging, we propose a research study to evaluate the anatomical changes of the liver and pancreas associated with lifestyle among medical students in UCC. Forty-two (42) medical students from the Central University of the Caribbean who are in their preclinical years will be recruited to perform an abdominal ultrasound. To measure the diameter of the right liver lobe, we will employ the craniocaudal measurement method established by Riestra. et al. (2018). The parameter established by Rumack et al. (2011) will be utilized to assess liver texture and categories by Lee JS et al. (2009) to pancreas fat infiltration grades. Results/Anticipated Results: This study expects to reveal a significant correlation between the lifestyles of preclinical medical students and the health of their liver and pancreas, particularly in size and texture. We anticipate identifying specific lifestyle factors – such as dietary habits and physical activity levels – that contribute to the prevalence of hepatic and pancreatic steatosis. Additionally, we expect to highlight the need for targeted interventions to promote healthier lifestyles among medical students to mitigate risks associated with MAFLD and NAFPD. Discussion/Significance of Impact: This study is significant for monitoring changes in liver and pancreas health, preventing complications, and improving health quality while reducing future costs. It may guide the creation of tailored wellness programs for medical students, enhancing their well-being and contributing to better healthcare practices and educational strategies.

Objectives/Goals: Research supports the use of music to improve the care and well-being of adults living with dementia; however, the practice and implementation of music in elder care communities is not regulated. The goal of this qualitative study was to survey elder care communities in Northeast Kansas to determine the use of music with people living with dementia. Methods/Study Population: We interviewed staff (n = 10) at five elder care communities in the Kansas City Metro area and observed musical activities and artifacts in shared living spaces within each community. Interview questions included details of the frequency and purpose of using music, who determined which music to use, and any effects, positive or negative, the interviewee believed to be associated with the use of music. Musical events, visiting musicians or music therapists leading group sing-alongs were observed at two communities, and music-related activities led by staff were observed at two others. Results/Anticipated Results: Music was used in some way at each of the five communities. Each location had recorded music available to residents in the shared living spaces, and most had a piano in the main lounge area. During the sing-along and music-related activities, residents were observed singing along to songs from memory, engaging with one another and the group leader and smiling. Staff employed by each community varied in their level of musical training and experience, from none to a full-time music therapist in residence. Staff interviewed said they believed music was helpful to aid memory recall, reduce anxiety, and to engage interest. Interestingly, a music therapist at one site also described how music during mealtimes created too much of a distraction for residents and interfered with dietary care. Discussion/Significance of Impact: It is clear from both the staff interviews and direct observations of musical activities that music is important to consider for people living with dementia in care communities. Guidelines for implementation and minimum standards would be helpful to ensure all care community residents can experience benefits highlighted by staff in this study.

Objectives/Goals: Optimal hydrocephalus treatment with permanent cerebrospinal fluid (CSF) diversion in myelomeningocele (MMC) patients is not well understood, especially how treatment response varies with time of MMC repair. We evaluate two treatment methods in this population–endoscopic third ventriculostomy (ETV) and ventriculoperitoneal shunting (VPS). Methods/Study Population: We retrospectively identified patients from St. Louis Children’s Hospital who were diagnosed with MMC prenatally and underwent either prenatal or postnatal repair and subsequently underwent permanent treatment for hydrocephalus (VPS or ETV +/- choroid plexus cauterization) between 2018 and 2024. The primary outcome was failure (defined as need for revision) of procedure and time to failure. All revisions were shunt insertions/revisions. Differences in preoperative and 6-month postoperative head circumference (HC) and WHO standard HC z-score were examined. Differences in preoperative and 6-month follow-up fronto-occipital horn ratios (FOHR), a validated age-independent measure of CSF within the brain, on CT and MRI were additionally examined. Results/Anticipated Results: Eighty-three MMC patients were identified. 46 (55%) underwent CSF diversion: 37 (80.4%, 9 pre- and 28 postnatal) VPS and 9 (19.6%, 5 pre- and 4 postnatal) ETV +/- choroid plexus cauterization. Six (16%) VPS patients required revision vs. 3 (33%) ETV patients (∆17%; 95% CI -9 – 50). Mean time to failure was longer after VPS vs. ETV (516, SD 470 vs. 34, SD 7 days) [∆482; 95% CI 163 – 800]. The decrease between pre- and postoperative FOHR was greater after VPS vs. ETV (6 mo: -0.14, SD 0.10 vs. -0.03, SD 0.07) [∆0.11; 95% CI 0.04 – 0.18]. Differences in pre- and postoperative HC were similar (VPS 5.67, SD 2.91 vs. ETV 4.04, SD 1.66 cm) [∆1.63; 95% CI -0.71 – 3.98]. Greater, but not significant, z-score decreases were seen after VPS vs. ETV (-1.04, SD 2.22 vs. -0.13, SD 1.11) [∆-0.91; 95% CI -2.68 – 0.86]. Similar trends were observed in pre- and postnatal MMC repair groups. Discussion/Significance of Impact: Failure rates in MMC-associated hydrocephalus patients were greater in the ETV group, but no definitive conclusion can be made due to imprecision. Those treated with ETV have less time to failure and smaller FOHR decreases than those treated with VPS, indicating less CSF drainage. Due to the need for more subjects, future research should be multicenter.

Objectives/Goals: Clinical research professionals (CRPs) are vital to the conduct of clinical research and require ongoing, high-quality training to be effective. This poster will explore participating CRPs’ assessments of the impact of the inter-institutional Research Professionals Network (RPN) Workshops on their work and ability to perform their roles. Methods/Study Population: The RPN Workshops are a consortium of four academic medical centers and their affiliates that collaborate to host peer-led workshops for CRP continuing education. CRP presenters and attendees include a wide variety of roles, responsibilities, and levels of experience. From September 2023 to December 2024, workshop attendees received bi-annual evaluations to assess the workshop impact, including skill application and understanding of topics. Responses from these bi-annual evaluations, along with monthly session evaluations, were analyzed to identify key outcomes on the workshops’ impact in regard to participating CRP application of learnings and confidence in their role. Results/Anticipated Results: Preliminary review of the bi-annual RPN Workshop Impact Survey data, alongside monthly workshop evaluation responses from workshop participants, revealed attendees indicated that they valued the topics presented. Key findings indicated that CRPs’ participation in the workshops: reinforced their existing practices,tncreased their confidence in knowledge and/or skills discussed, enhanced their collaboration with CRPs from other institutions, and more detailed results of the analysis will be presented. Discussion/Significance of Impact: Overall results demonstrated increased confidence in CRP roles. Participants valued the inter-institutional collaboration, which is facilitated by the sharing of best practices and diverse perspectives within the workshop format.

Objectives/Goals: This literature review examines the current landscapes of plain language summaries (PLS), which are used to make research accessible to nonexpert audiences. It aims to identify gaps in their implementation by focusing on challenges related to consistency, accessibility, and quality across fields. Methods/Study Population: A systematic search was conducted using databases such as PubMed and Google Scholar, employing key search terms like “plain language summaries,” “scientific communication,” “health literacy,” “patient education,” “knowledge translation,” “accessibility in research,” “public engagement,” “lay-person,” and “lay summaries.” Literature from multiple sources (pharmaceutical companies/industry, nonprofit organizations, private–public partnerships, and government) was compared to assess the gaps in current PLS best practices. Results/Anticipated Results: Search results yielded 95 articles. Of those, 37 articles fit the criteria, highlighting critical gaps in PLS implementation for clinical research. Preliminary findings suggest a lack of standards and guidelines, as well as a need for more research on the effectiveness of PLS for improving knowledge transfer and patient engagement. Key limitations were identified for investigator-initiated trials (IITs). A best practice table, comparing recommendations from each group of sources, was developed with suggestions for writing effective PLS. While there is consensus on some principles (i.e., importance of simplicity), differences emerge regarding optimal length and the use of layperson glossaries and graphics. The table aims to serve as a guide for creating effective and standardized PLS across fields. Discussion/Significance of Impact: There are limited PLS best practice resources tailored for IITs. These findings could lead to more practical tools and a streamlined approach to enhance communication strategies for lay audiences. This would benefit trial participants and community members who rely on this information and bridge the gap between scientific communities and the public.

Objectives/Goals: Our goal is to enhance communication and documentation in collaborative biostatistics by refining data management and metadata processes. We aim to capture critical data collection and generation information, improve transparency and reproducibility, and foster stronger researcher partnerships for more effective collaborations. Methods/Study Population: Traditional statistical analysis plans (SAP) often miss essential contextual knowledge from collaborators, leading to gaps that hinder reproducibility and limit future data use. Biostatistics teams at the University of Kentucky have updated their strategies to better capture important details about data origins and collection processes. By focusing on clear, comprehensive documentation early in the research process, we aim to preserve foundational data insights and improve collaboration efficiency. Our Biostatistics, Epidemiology, and Research Design (BERD) team has established best practices for addressing data management structures with collaborators across medical and healthcare fields – covering all project stages, from initial data collection to metadata creation and dataset finalization. Results/Anticipated Results: We will detail the processes used to improve data management structures and the observed results of these processes. For example, initiating deeper discussions about data origins and collection processes as early as possible in the collaboration has resulted in a more comprehensive project narrative that lays the foundation for effective collaboration. By engaging with project leaders early in the process, we can confirm that critical details about how data were collected and processed are documented, improving both the transparency and reproducibility of research findings. Streamlining the processes of capturing this information makes it more accessible and useful for those with limited statistical backgrounds, which is particularly relevant for faculty and staff in BERD communities and Clinical and Translational Science Awards Programs. Discussion/Significance of Impact: Nuanced data documentation structures are crucial for transforming raw data into meaningful, reusable datasets. Our initiatives promote clear communication, enhanced efficiency, and streamlined workflows. Translational science researchers can benefit from improving data management and metadata to boost long-term collaborative success.

Objectives/Goals: Failure to achieve recruitment goals results in termination of ~20% of clinical trials and delays >85% of trial timelines. We aim to develop an electronic heath record (EHR)-based recruitment tool to ease identification of participants. We sought to determine whether criteria listed on clinicaltrials.gov could support selection of tool variables. Methods/Study Population: To inform the variables to include in the EHR-based recruitment tool, we data scraped clinicaltrials.gov to identify key inclusion and exclusion criteria common across a variety of diabetes clinical trials. We included actively recruiting or recently active phase 2 and 3 clinical trials of adults aged >18 years of age in the USA. We classified identified variables as clinically relevant or not and compared clinically relevant terms with inclusion and exclusion criteria (~20 variables) that were individually identified by three diabetes clinical trialists and two clinical research coordinators (CRCs). Results/Anticipated Results: We reviewed 203 clinical trials listed on clinicaltrials.gov. We identified 115 terms, 91 of which were clinically relevant. Three of 3 clinical trialists, 1 of 2 CRCs, and all trials listed age as a key variable. Consistent with data scraping, all trialists and CRCs identified glucose-lowering medications and kidney function as important criteria. Gender, ethnicity, and race were less commonly noted on clinicaltrials.gov and listed by 2 of 3 trialists and one CRC. Cardiovascular conditions (e.g., history of myocardial infarction), thyroid function tests, and contraceptive requirements were common criteria on clinicaltrials.gov, but only one trialist and one CRC identified these variables. Active infections (e.g., HIV) and c-peptide were not highlighted by trialists or CRCs but common on clinicaltrials.gov. Discussion/Significance of Impact: An EHR-based recruitment tool may facilitate identification of trial participants, but identifying key variables to include is essential. We found that data scraping for variables on clinicaltrials.gov mostly aligned with expert opinion, suggesting that automating variable selection via extraction from clinicaltrials.gov may be acceptable.

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: Our objective is to examine patient and community perspectives on hospital actions that signify accountability to healthcare equity; part of our overall goal is to identify equity measure concepts representative of community perspectives and priorities for future hospital accountability programs. Methods/Study Population: We conducted a qualitative thematic analysis of secondary data – 32 focus group transcripts from our hospital’s Community Health Needs Assessment (CHNA). A tri-annual CHNA is required of nonprofit hospitals to maintain tax exemption. Diverse participants were recruited from our hospital’s large catchment area. Coding focused on responses to 6 pertinent questions. We adapted the National Committee for Quality Assurance, “Health Equity Measurement Framework for Medicaid Accountability” which consists of 5 domains (access, clinical, experience, structure, and social) to guide the development of our a priori coding tree and subsequent analysis. Two coders double-coded 25% of transcripts. The multidisciplinary research team, including community partners, met iteratively to extract and refine themes. Results/Anticipated Results: We organized our analysis by our conceptual framework’s 5 measurement domains. The “access” and “experience” domains were the most salient for participants. We defined “access” by four sub-domains: financial access, physical access, communication access, and navigability; and “experience” by two subdomains: inclusivity and accomodation. Beyond discussing concepts within these measurement domains, participants debated the “scope” of the hospital’s role with regard to healthcare equity. While some did not think “it was the hospitals” responsibility to give people access to good jobs or fair pay, education…, “other participants felt that healthcare involves not just addressing peoples’ physical health but. their housing… because how can someone take care of their health when they are homeless?” Discussion/Significance of Impact: When asked about hospital accountability to healthcare equity, “access” and “experiences” of care are the most salient measurement domains for patients and communities. The “scope” of the hospital’s role is debated. Policy and health system leaders can apply these perspectives to equity measurement initiatives.

Objectives/Goals: This proposal outlines the successful deployment of a research training initiative to support the formation of a Learning Healthcare System. Mayo Clinic Health System (MCHS) rural providers were offered the opportunity to the fundamentals of clinical research via Clinical and Translational Science Awards core curriculum, mentorship, and an online seminar series. Methods/Study Population: MCHS funded 4 key introductory research courses: 1) Manuscript Writing, 2) Grant Writing, 3) Basic Biostatistics, and 4) Essentials of Clinical and Translations Science Program. In addition to course offerings, a Research Interest Group was formed to guide novice rural researchers on topic selection and study design. This cultivated interest to create a 16-month clinical research webinar series offering CME credits. Subsequently, an internal MCHS RFA was launched seeking early-stage investigator pilot proposals focused on rural health. Results/Anticipated Results: In 2023, over 140 MCHS providers enrolled in 324 CCaTS research courses. This training led to the submission of 53 proposals to the inaugural MCHS 2023 RFA, of which 15 were awarded. Additionally, 14 MCHS extramural grants were submitted in 2023. Training efforts expanded in 2024 to include an online research seminar series covering various study topics and providing CME credit, with an approximate attendance up to 196 attendees per session. The second annual MCHS RFA resulted in 4 internal awards, with an additional 22 extramural grant submissions. These collective efforts have increased the number of MCHS first and last author publications and the number of MCHS providers with academic rank. Discussion/Significance of Impact: Leadership’s commitment of resources to educate, mentor, and engage clinicians was crucial to our success and demonstrated a strong return on investment. To maximize impact in community-based practice, continued commitment is needed in the form of protected research time, funding, and research administration support of projects of interest

Objectives/Goals: 1) Discuss process of pilot integration of Community Health Worker (CHW) services as a component of patient-centered healthcare service delivery in 3 clinic models. 2) Summarize profiles of patients who self-select to utilize CHW services. 3) Discuss social determinants of health impacts of underserved and historically marginalized populations. Methods/Study Population: The priority population consists of individuals living in Mobile AL at or below poverty level. USA Health Center for Healthy Communities (CHC) piloted the integration of CHW services at USA Health Stanton Road Clinic (SRC), at USA Student Run Free Clinic (SRFC), and as part of a Medi Hub Outreach Clinic with the historically underserved MOWA Choctaw native American population. SRC is a high-utilization clinic for uninsured or underinsured patients across the breadth of the Gulf Coast. The other 2 sites serve similar clientele. Social determinants of health (SDOH) screenings at intake facilitate CHW referral for a clients’ unique needs for support at healthcare or social care agencies. Referral summaries can then be used to guide planning, community collaborating partner intervention, and clinical quality certification, Results/Anticipated Results: Results include identification of referrals process by which CHWs are able to provide culturally competent support to persons accessing healthcare services at the 3 clinic models identified. Identification of top SDOH needs that preclude access to care among the patients served during a 24-month pilot period, e.g., (i) housing insecurity, (ii) food insecurity, (iii) transportation, (iv) health Ins, and (v) pharmacy access and payment assistance. Discussion of beneficial impacts for health care service delivery with other members of the multidisciplinary clinical teams as recorded referrals can be used to guide planning, clinic certification efforts Discussion/Significance of Impact: Patient utilization of CHW services though self-selective offers opportunities for equity in access to care services from direct SDOH impacts, where CHWs act as responsive resource coordinators within the multi-disciplinary service delivery team.

Objectives/Goals: In recent years, there has been growing interest in the development of air pollution prediction models, particularly in low- and middle-income countries that are disproportionately impacted by the effects of air pollution. Recent methodological advancements, particularly in machine learning, provide novel opportunities for modeling efforts. Methods/Study Population: We estimate daily ground-level fine particulate matter (PM2.5) concentrations in the Mexico City Metropolitan Area at 1-km2 grids from 2005 to 2023 using a multistage approach. Spatial and temporal predictor variables include data from the moderate resolution imaging spectroradiometer (MODIS), Copernicus Atmosphere Monitoring Service (CAMS), and additional meteorological and land use variables. We employed machine-learning-based approaches (random forest and gradient boosting algorithms) to downscale satellite measurements and incorporate local sources, then utilized a generalized additive model (GAM) to geographically weight predictions from the initial models. Model performance was evaluated using 10-fold cross-validation. Results/Anticipated Results: On average, the random forest, gradient boosting, and GAM models explained 75, 82, and 83% of variations measured in PM2.5 concentrations. PM2.5 levels were generally higher in densely populated urban centers and lower in suburban and rural areas. Important predictors of ground-level PM2.5 included wind (both u and v components), 2-meter mean air temperature, elevation, and the normalized difference vegetation index (NDVI). Discussion/Significance of Impact: Using novel machine learning-based approaches, we developed robust models with fine-scale spatial (1-km2) and temporal (daily) variations of PM2.5 in Mexico City from 2005 to 2023. The predicted PM2.5 concentrations can further advance public health research on air pollution in Mexico City and beyond.

Objectives/Goals: • Investigate culturally-specific beliefs, caregiving approaches, care preferences, and unmet needs among Asian American, Native Hawaiian, and Pacific Islander (AANHPI) care partners supporting persons living with dementia • Apply identified findings toward culturally-adapting caregiving resources for AANHPI dementia care partners Methods/Study Population: Qualitative data from the Better Together Dementia Care Study and Asian American, Native Hawaiian, and Pacific Islander (AANHPI) Dementia Caregiving Study were analyzed to investigate culturally-specific beliefs, caregiving approaches, preferences, and unmet needs of AANHPI dementia care partners. Both studies remotely conducted and recorded semi-structured interviews (1.5–2.5 hours), with care partners and providers though interview protocols were distinct. Transcripts were AI-generated, through Zoom or Trint, and analyzed using thematic content analysis by two coders. Apriori codes drawn from literature and inductively-identified codes were identified and coded. Preliminary findings informed sociocultural strategies used to adapt existing care partner resources for use in these groups. Results/Anticipated Results: Preliminary analysis of care partner (CP) interviews (N = 8; 4 romantic partners, 4 adult children), revealed differences in caregiving experiences and networks. CPs supporting care receivers (CR) who had emigrated away from extended family networks reported a lack of instrumental support. Most CR (7/8) had adult children, many of whom (6/8) provided some care, though half of CR-child relationships were distant or had past difficulties. Romantic partners were primary CPs while co-caregiving with children; Adult children served as primary CPs for unpartnered CRs (n = 4). Adapted CP resources integrated these findings, acknowledging the complexities of fulfilling traditional filial expectations in light of difficult past relationships. Formal services were framed as an extension of family-coordinated care. Discussion/Significance of Impact: Care partners of immigrants may have limited local family support and may benefit from formal services. Adult children may provide care, though this may be complicated by poor past relationship quality. AANHPI care partners may benefit from culturally-adapted resources which address these issues, though resource acceptability-testing is needed.

Objectives/Goals: To identify clinician and researcher barriers, facilitators and learning preferences for patient partner engagement in research. In addition, to describe the strategies, our Patient Partners Program has planned for building clinician and researcher capacity to engage patient partners in clinical research. Methods/Study Population: Our program to promote authentic patient–researcher partnerships to advance clinical and translational research is grounded in participatory approaches to maximize meaningful engagement. We utilized small group listening sessions with health care providers involved in clinical research at the University of Michigan, Michigan Medicine healthcare system. Insights from these sessions are informing the development of learning models and curriculum content. We used purposive sampling to recruit individuals (n = 12) with a wide array of patient engagement experiences across diverse clinical departments. The study materials and interview guide were co-created with a patient research partner who also participated in co-facilitating the listening sessions. Results/Anticipated Results: The interview guide included questions about the benefits, challenges, and supports to engagement and capacity building training programs for researchers. The listening sessions were recorded, transcribed, and analyzed for common themes. Preliminary findings have identified the following themes related to barriers: (1) identifying and onboarding patient partners, (2) communication challenges, and (3) institutional and structural challenges (e.g., time constraints and difficulty offering compensation) and facilitators: (1) institutional and administrative support, (2) flexibility, and (3) respect, trust, and partnership. Improved knowledge about how and when to engage patient partners was identified as a key component to build researcher capacity in patient partnered research. Discussion/Significance of Impact: Integrating patient partners into study teams accelerates innovation and translational science, increases the relevance of research findings, improves health outcomes and patient empowerment, and elevates the value of the patient perspective allowing researchers to gain a new point of view from an individual with lived experience.